Jag_CV_14 Dito 291251 Sarangapani, Jag

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JAGANNATHAN SARANGAPANI

Rutledge-Emerson Distinguished Professor of Electrical and Computer Engineering

Professor of Department of Computer Science (courtesy appointment)

Professor of Department of Engineering Management and Systems Engineering (courtesy appointment)

Site Director of NSF I/UCRC on Intelligent Maintenance Systems

Director, Embedded Control Systems and Networking Laboratory

Missouri University of Science and Technology

222 Emerson Electric Co. Hall • 301 West 16th Street • Rolla, MO 65409-0040

Tel: (573) 341-6775; Fax: (573) 341-4532. Email: sarangap@mst.edu; www.mst.edu/~sarangap

AREAS OF INTEREST: Systems & Control, Neural Network Control, Robotics, Cyber-physical systems,

Diagnostics & Prognostics

EDUCATION: Doctor of Philosophy in Electrical Engineering (1/92-8/94)

Automation and Robotics Research Institute, University of Texas at Arlington

Specialization: Intelligent & Embedded Control of Robotics

Awards: University Doctoral Fellowship Recipient (1/92-8/93)

Rudolf Hermanns Graduate Fellowship holder (9/93-8/94)

University Scholars Fellow (1/92-8/94)

NSF Research Grant Scholar (2/92-08/94)

Doctoral Research Award Recipient of Sigma Xi International Research

Society (4/94)

Master of Science (9/87-12/89); GPA 85%

University of Saskatchewan at Saskatoon, Canada

Specialization: Embedded Control Systems and Robotics

Awards: University of Saskatchewan Summer Graduate Fellowship holder

Bachelor of Electrical Engineering (7/82-8/86); GPA 85.5%

Anna University at Madras, India

Specialization: Embedded Systems and Robotics

Awards: University Gold Medalist for being topper (82-86)

National Merit Scholar (82-86)

Won IEEE best student paper contest (85)

AWARDS:

 University of Missouri Leadership Development Program

 Engineers Make a Difference Award in 2008

 Boeing Pride Achievement Award 2007

 Faculty Excellence Award 2005-2006, 2006-2007

 Outstanding Counselor Award for St. Louis (06, 07) and Region 5 in 2006 and

Outstanding IEEE Student Branch Award (06, 07)

 Teaching Commendation Award in 2005, Commended for Teaching Excellence in

2007, 2013

 Caterpillar Research Excellence Award in 2001

 The University of Texas Presidential Award for Research Excellence in 2001

 NSF CAREER Award (2000)

 UTSA Faculty Research Award (2000)

 Elevated to Sr. Member of IEEE in 1999

 Received “Patent Award” from Automation and Robotics Research Institute (Dec.96)

 Cited in Marquis Who’s Who (Science, Engineering, Finance, World, America)

continuously from 1998 till do date.

 Twentieth Century Award for Achievement—International Biographical Center,

Cambridge, UK.

 Several Best Paper/session Awards in 2004, 2000

OTHER AWARDS:

 Recipient of University Gold Medal for being University Topper during

undergraduate degree program

 Recipient of Papu Subbarao Medal for the best machine design (May 86)

 Awarded Gold Medal for being a State Ranker (Dec. 80)

 Received Silver Medal from International Rotary Foundation for being best student

(Dec. 80)

EDITORIAL: (a) Series Co-Editor, IET Control Series UK (2010-

(b) Associate Editor, UK Royal Institute Transactions on Measurement and Control

(2010-)

(d) Associate Editor, IEEE Transactions on Neural Networks (2005-2009)

(e) Associate Editor, IEEE Journal on Systems Engineering (2007-2010)

(f) Editorial Board Member and Steering Committee, International Journal of

Automatic Control and Systems Engineering (ASCE)

(g) Chair and Member, Technical Committee on Intelligent Control (2011-

(h) Vice Chair, CIS Tech Committee on Adaptive Dynamic Programming and RL

(2013)

(i) Editor-in-Chief, Discrete Dynamics in Nature and Society (2013-)

(j) Editor board, The Scientific World Journal (2013-)

Research Grants: (September 98-Todate):

No. Title/PIs/Number Agency Years of

Support My Share Total

Value

83. Investigation of Advance Concepts in

Passive Tags with Sensors and Data

Communication and Prognosis

Applications

Boeing 2014 100% $135,000

82. IMS Membership TDA 2013-2014 10% $12,000

81. IMS Membership Boeing 2013-2014 100% $40,000

80. Investigation of Passive Tags with

Sensors and Prognosis of Structural

Health

Boeing

IMS second

membership

2013 100% $105,422

79. IMS Membership TDA/Navair 2012-2013 33% $12,000

78. “A Doctoral Program in Security and

Privacy in Mobile Social Network

Space”, Co-PI (PI: Madria)

Dept of

Education 2012-2015 10% $356,584

77. I/UCRC: Collaborative Research on

Coupled Models for Prognostics and

Health Management, PI

NSF 2012-2014 50% $49,999

76. MRI: Development of a Open-source

Dual Probe Atomic Force Microscope

, Co-PI, PI: Doug Bristow

NSF 2012-2015 15% $316,044

75. A Heterogeneous Secure Networking

Test-Bed to Counter

Explosives, Co-PI (PI: Sriram

Chellappan)

ARO 2012-2013 20%

($49,800) $249,978

74. Invention of Advance Concepts in

Wireless Sensors with Flexible High

and Low Storage Memory and

Temperature/Humidity Sensing

Capabilities and Initiation of

Condition Based Maintenance for

Boeing 2012-2013 100% $116,537

Diagnosis and prognosis of Plant

Machinery: IMS second membership

73. NSF I/UCRC Membership Boeing 2012-2013 100% $40,000

72. NSF I/UCRC memberships Boeing,

Kalscott 2011-2012 86% $52,000

71. Collaborative: Design of Accelerated

Prognostics and Health Management,

Co-PI

NSF 2011-2013 50% $50,000

70. Industry/University Cooperative

Research Center for Intelligent

Maintenance Systems: Five Year

Renewal Phase II, PI

NSF 2011-2016 100% $80,000

(total of

$200,000)

69. Agile Systems Engineering:

Experiential and Active Learning

Approach—Co-PI; PI: Dagli

DoD-SERC

from Stevens

Institute

2011-2012 5% $119,988

68. Adaptive-dynamic programming

based control of networked control

system

NSF 2011-2014 100% $346,815

67. Digital Part Marking and Container

Health Monitoring Boeing 2011 100% $60,000

66. NSF IMS Memberships—Boeing I &

II, Kalscott and AVETEC Various 2011-2012 100% $104,000

65. Secure Network Protocol Boeing 2010-2011 50% $25,000

64. Unintended Emission Detection and

Identification, PI Army

Research

Laboratory

2010-2013 100% $403,873

63. Human-the-loop with Detectors and

Embedded Mobile Sensor Fusion

Center for Detection, PI; Co-PI: Jeff

Dalton of AVETEC

Army

Research

Laboratory

2010-2013 100% $702,120

62. Localization and Tracking of

Explosive Threats using Multi-modal

Sensors, PI;

Army

Research

Laboratory

2010-2013 90% $646,127

61. System Integration, PI; Co-PI Levent

Acar Army

Research

Laboratory

2010-2013 10% $32,881

60. Cognitive Network and Protocols

using Missouri S&T Mote, Co-PI; PI

Maciej Zawodniok

Army

Research

Laboratory

2010-2013 33% $450,093

59. Design of Hardware Platform for

Multimodal Sensor Detection, Co-PI;

PI-Maciej Zawodniok

Army

Research

Laboratory

2010-2013 33% $299,907

58. Malicious Device Identification

Through Statistical Pattern Modeling,

Co-PI; PI-Ivan Guardiola

Leonard

Wood

Institute/Army

Research

Laboratory

2010-2011 10% $81,351

57. NSF REU Supplement for Smart

Engines, PI NSF 2010-2011 50% $6,000

56. A Systematic Methodology for Data

Validation and Verification for

Prognostics Applications, Co-PI,

PI:Zawodniok

NSF 2010-2012 50% $49,998

55. Agile Systems Engineering:

Experiential and Active Learning DoD/SERC

(subcontract 2010-2011 4% $198,556

Approach, Co-PI; PI: Dagli from Stevens

Institute of

Technology)

54. Fault Detection, Isolation, Energy

Monitoring and Prognostics Boeing 2010 100% $72,101.50

53. IMS Membership AVETEC 2010-2011 100% $12,000

52. NSF REU Site Supplement NSF 2010 10% $20,020

51. I/UCRC Memberships—Boeing I and

II Boeing 2009-2010 100% $80,000

50. Smart Engines: Fuel Flexible Engine

Control using Adaptive Neural

Network Critics, PI

NSF 2009-2012 60%

($198,000) $330,000

49. Condition-based Maintenance on

Motors Boeing 2009 100% $60,600

48. NSF I/UCRC Supplement—

parameter based prognostics NSF 2009-2010 50% $49,999

47. NSF I/UCRC on Intelligent

Maintenance Systems Center

Memberships

Caterpillar

Chevron 2008-2009 100% $80,000

46. Networked Zeolite-Capacitive

Sensors for Distributed and

Ubiquitous Detection of

Chemical/Biological Threats, Co-PI

Army

Lab/LWI 2008-2009 19%

($100,000) $529,160

45. NSF I/UCRC Supplement: Bio

immune system engineering

NSF 2008-2009 100% $50,000

44. NSF I/UCRC Memberships Boeing and

AVETEC 2008-2009 100% $51,000

43. Network Enabled Manufacturing:

Power Utility Monitoring and

Bearing Prognostics

Boeing

2008

100%

$109,470

42. NSF REU Site: Research and

Training Experience for

Undergraduates in the Area of Sensor

Computing, Co-PI (PI: Madria)

NSF 2008-2011 10%

($30,000) $300,000

41. NSF I/UCRC on Intelligent

Maintenance Systems Center

Memberships

Boeing,

Caterpillar,

Chevron,

Honeywell,

21st Century

Systems

2007-2008 100% $171,000

40. RFID Application to Virtual

Enterprises Boeing 2007-2008 100% $25,500

39. IED Localization using Spatial

Diversity of Wireless Sensor

Networks

Army

Research

Lab/LWI

2007-2008 100% $323,922

38. Wireless Head Set for Ramp

Operations Air Force

Research Lab

(AFRL)

2007-2008 100% $147,000

37. Secure and Adaptable Energy

Efficient Sensor Networks for

Infrastructure Monitoring, Co-PI

DOEducation

Co-PI 2007-2010 25%

($102,000) $384,000

36. NSF I/UCRC Memberships AvETEC,

Boeing 2007 100% $51,000

35. Supply Chain Management Boeing 2007 100% $60,000

34. Network Enabled Manufacturing Boeing 2007 100% $102,003

33. Development and validation of

advanced energy management control

algorithms for short or long term

storage, Co-PI

Sandia 2006-2007 10%

($1,000) $10,000

32. Chemical Management using RFID Avchem/NSF 2006-2007 100% $73,000

31. RFID Hardware Integration AFRL 2006-2008 100% $ 75,000

30. NSF I/UCRC Center Membership

fees, PI

Caterpillar,

Chevron,

Boeing, Festo,

Honeywell,

21st Century

Systems

2006-2007 70%

($147,700) $211,000

29. Robust adaptive critic NN controllers

for nonlinear dynamic systems, PI NSF 2006-2010 100% $239,999

28. NSF I/UCRC on Intelligent

Maintenance Systems NSF 2006-2011

100% $250,000

27. Hydrualic Pump Prognostics Caterpillar 2006-2006 100% $25,000

26. Katrina SGER: Dynamic

Programming based monitoring of

structural health and communication

infrastructure, PI (Co-PI Dr. Saygin)

NSF 2006-2007 50%

($27,850) $55,699

25. Caterpillar Electronics University

Research Award: Network

Management Protocol, Co-PI

Caterpillar 2006-2007 50%

($25,000) $50,000

24. Development and validation of

advanced energy management control

algorithms for short or long term

storage, Co-PI

(with PI: Crow, Co-PIs: McMillin,

Liu)

Sandia Labs 2006-2007 10%

($143,086) $680,860

23. Real-time Locating System

Evaluation

Boeing 2006-2006 100% $37,250

22. NSF I/UCRC Center Membership

fees, PI

Caterpillar,

Chevron,

Boeing, Festo,

Honeywell,

21st Century

Systems

2005-2006 70%

($147,700) $211,000

21. Real-time Locating System

Evaluation

(Contract #1050990), PI

Boeing 2005-2005 50%

($2,400) $4,800

20. Planning Grant: NSF Industry

University Cooperative Center, PI

(EEC-0531580)

(with Drs. Leu and Saygin)

NSF 2005-2006 50%

($5,000) $10,000

19. Development and validation of

advanced energy management control

algorithms for short or long term

Sandia Labs 2005-2006 10%

($291,251) $1,270,390

storage, Co-PI

(with PI: Crow, Co-PIs: McMillin,

Liu)

18. Wireless Sensor Networks for In-

quality process monitoring, PI

Air Force

Research

Laboratory

2005-2007 50%

($164,913) $329,826

17. Research Experiences for

Undergraduate Students Supplement

for ECS#0327877, PI (with Dr.

Drallmeier as the Co-PI)

NSF

2004-2005 50%

($3,000) $6,000

16. Shop floor management using Auto-

ID technologies in Network Centric

Environments, Co-PI

(PI: Ming Leu, Co-PI: several)

(Overall award $8.5 Million)

Air Force

Research

Laboratory

2004-2006 50%

($139,927) $279,854

15. Facts Device Interactions, Co-PI

(with PI: Crow, Co-PI: McMillin,

Liu)

Sandia Labs 2004-2005 100% of

$57,343 Plus

10% of

$244,600

$727,891

14. Wireless test bed for mobile

computing research, Co-PI, (PI:

Madria; Co-PI: McMillin, Ercal and

Subramanya)

(MRB: $16.5K, UMR: $16.5K)

NSF 2003-2005 25%

($16,750) $83,500

13. Multidisciplinary research and

training in secure wireless adhoc and

sensor networks (PI) (with Rao,

Wunsch, Miller, Madria, Kapila,

Erickson)

(UMR Match : $126,000)

Dept. of

Education

2003-2006 20%

($92,654) $463,272

12. Adaptive neural architectures for

emission control of engines (PI)

(ECS#0327877) (with Dr.

Drallmeier)

NSF 2003-2006 65%

($327,600) $504,000

11. Adaptive traffic management

schemes for the Internet Research

Board 2002-2003 100% $24,400

10. Research Experiences for

Undergraduate Students Supplement NSF

2002-2003 100% $10,125

9. Equipment donation (appx. value) Motorola, Inc 2001 100% $185,000

8. CAREER: Sensor-based adaptive

control of complex distributed

systems

(ECS#9985739, ECS#0296191)

NSF

2000-2005 100% $300,000

7. Equipment Supplement (with $10K

match) (ECS#0216191) NSF 2000-2005 100% $10,000

6. Bioengineering Materials (Co-PI)

(with Drs. Huang and Singh) Subcontract

from UT

Austin

(NSF)

2000-2001 33%

($32,340) $98,000

5. Develop. of an intelligent controller

for a golf swing machine using

MEMS Technologies (#26-57100-

01)

Techathlon,

Inc

2000-2001 100% $100,750

4. Microsensor-based Autonomous 1999-2002 100% $126,275

robots for MARS Greenhouse

operation

(#26-4315-01)

TSGC/NASA

3. Develop. of an intelligent controller

for a golf swing machine using

MEMS technologies

Techathlon,

Inc 1999-2000 100% $65,000

2. Adaptive traffic rate control (#14-

7519-01) Faculty

Research

Award

2000 100% $5,000

1. Grant Development Research and

Development 1999 and

2000 100% $6,000

Total Funding from all sources (98-todate):

Total $14,238,044

My Share: $8,254,001

Summary: My shared credit $618K/year for the past 13 years (98-todate).

Other Funded Projects (1994-1998)

No. Title/PIs/Number Agency Years of

Support My

Share Funds

1. Autonomous Mining Truck---backup

loading Decatur,

Caterpillar 1994-1995 100% $125,000

2. Data Analysis Tool Development for

Diagnostics/Prognostics Parts &

Services 1995-1998 100% $2,000,000

3. Condition based monitoring, fault

symptom analysis, and Prognostics Parts &

Services 1995-1998 100% $1,250,000

4. Obstacle avoidance for autonomous trucks Machine

Research

Board

1996-1997 100% $200,000

5. Engine diagnostics and prognostics Decatur 1996-1997 100% $150,000

6. Embedded blade control of autonomous

dozer Decatur 1997-1998 100% $500,000

Total Funding: My share (1994-1998) $4,225,000

Classes Taught:

Teaching at UMR/Missouri S&T

Fall 2001 Semester EE 231 Control Systems

Spring 2002 Semester EE 434 Nonlinear Control (New course)

Fall 2002 Semester CpE/EE 401 High Speed Networks ( New course)

Fall 2002 Semester EE 337 Neural Networks for Control (New Course)

Spring 2003 Semester CpE/EE/ME 301 Introduction to MEMS (New course)

Fall 2003 Semester CpE/EE 401 High Speed Networks (second time)

Course Release

Spring 2004 Semester EE 433 Topics in Control Theory: Adaptive Control (New Course)

Spring 2004 Semester EE 231 Control Systems

Fall 2004 Semester CpE 448 High Speed Networks (third time)

Spring 2005 Semester EE 434 Nonlinear Control Systems

Spring 2005 Semester EE 231 Control Systems

Fall 2005 Semester CpE 448 High Speed Networks

Spring 2006 Semester EE 433 Topic in Control-Neural Network Control (New course)

Summer 2006 Semester EE/CpE 301 Wireless Networks (introduced but taught by grad student)

Fall 2006 Semester CpE 448 High Speed Networks

Fall 2006 Semester CpE/EE 401 Wireless Adhoc and Sensor Networks (New course taught

by postdoc)

Spring 2007 EE 434 Nonlinear Control Systems

Fall 2007 EE 433 Topics in Control: Discrete-time Neural Network Control

CpE/EE 401 Wireless Ad hoc and Sensor Networks (New Course

taught by postdoc)

Spring 2008 EE 433 Topics in Control: Adaptive Control

CpE/EE/Sys 348 Wireless Networks (taught by postdoc)

Fall 2008 CpE 448 High Speed Networks

Spring 2009 EE 432 Optimal Control

Spring 2009 EE 434 Nonlinear Control Systems

Fall 2009 EE 337 Neural Networks for Control

Spring 2010 EE 432 Optimal Control

Spring 2011 EE 432 Optimal Control

Fall 2011 EE 433 Topics in Control: Discrete-time Neural Network Control

Spring 2012 EE 433 Topics in Control: Adaptive Control

Fall 2012 EE 401 Nonlinear Neural Network Control

Spring 2013 EE 434 Nonlinear Control

Fall 2013 EE 401 Discrete-time Neural Network Control

Spring 2014 EE 432 Optimal Control and Estimation

(Note that within the past three years, several new courses have been introduced and taught)

Teaching AT UTSA

Spring 1999 EE 3413 Analysis and Design of Control Systems

Spring 1999 EE 4443 Discrete-Time Control

Summer 1999 EE 2323 Engineering Analysis

Fall 1999 EE/CS 4723 Intelligent Robotics

Fall 1999 EE 5143 Linear Systems and Control

Spring 2000 EE 3413 Analysis and Design of Control Systems

Spring 2000 EE/CS 5343 Intelligent Robotics

One Course buyout

Fall 2000 EE 3413 Analysis and Design of Control Systems

Fall 2000 EE/CS 5463 Artificial Neural Networks

One course buyout

Spring 2001 EE 3413 Analysis and Design of Control Systems

Spring 2001 EE/CS 4723 Intelligent Robotics

Summer 2001 EE 3523 Electromechanical systems

Note that within three years several courses have been introduced and taught.

PROFESSIONAL EXPERIENCE:

Rutledge Emerson Endowed Chair (2008-present)

Tenured Full Professor and Site Director NSF I/UCRC on Intelligent Maintenance

Systems (2005-present)

Tenured Associate Professor (2001-2004)

Director, Embedded Systems and Networking Laboratory

Investigator, Intelligent Systems Center

Dept. of Electrical and Computer Engineering

The University of Missouri-Rolla

Assistant Professor & Director (98-01) (Associate Prof with Tenure 2001)

Intelligent Systems Laboratory

Dept. of Electrical and Computer Engineering

Adjunct Professor of Computer Science

Investigator, Center for Advanced Computing and Networking

6900 North Loop 1604 West

The University of Texas at San Antonio

San Antonio, Texas 78249.

Director & Staff Engineer (3/96-11/98) (Supervised 15 engineers)

Sr. Project Engineer (9/94-2/96)

Systems and Controls Research

Caterpillar Inc, Peoria.

Funding levels from Industry and federal agencies: Over 1 mil/year

 Directed a Group to Develop and Implement Embedded Systems for Applications

 Developing control algorithms for tractor type tractor machine.

 Managed advanced retarder control project for off-highway trucks.

 Applied learning-based control work automated loading system-eg. excavators

 Directed a team on rapid prototyping technology

 Directed a team to develop data analysis tools for life prediction.

 Directed a group to develop database architecture (DB2) and tool interface.

 Directed a project on extending engine oil life drain intervals.

 Developed navigation, control, and obstacle Avoidance methods for vehicles using

embedded systems, multitasking operating systems, VME and PC 104 platforms.

 Directed diagnostic/prognostic programs using MEMS technologies.

 Developed novel methods to predict life for mechanical components.

 Developed performance models for mechanical components.

 Demonstrated an expert system for intelligent failure diagnosis/prognosis.

 Participated in a group to better control Electro-hydraulic Systems

 Developed and implemented novel path planner for Autonomous Systems

 Worked on obstacle detection systems and developed new techniques

 Developed novel diagnostic and prognostic algorithms for intelligent vehicle

health monitoring using object oriented architecture

 Assembled an intelligent health monitoring system

Research Assistant (1/92-8/94)

Automation and Robotics Research Institute,

The University of Texas at Arlington, Fort Worth, Texas

 Implemented adaptive methods for nonlinear systems on embedded systems

 Developed novel nonlinear controllers for robotics and automation

 Developed and Implemented Intelligent controllers: Neural, Fuzzy and Artificial

Intelligence based technology on Embedded Microprocessor systems

 Developed path planner and control techniques for autonomous systems

 Implemented various control techniques using Embedded Systems

Research Associate and Industrial Consultant (1/90-12/91)

Department of Mechanical and Industrial Engineering

The University of Manitoba, Winnipeg, Canada

 Developed a Microprocessor based controller in a Multi-tasking Environment for a

Flexible Manufacturing Systems

 Implemented novel controllers for Industrial Processes such as Lathe and Milling

Operations

 Designed, developed and Implemented an Intelligent Machine Vision approach for

Automatic Inspection of Printed Circuit Boards for Northern Telecom Inc., (Bell

Northern Research), Canada

 Implemented a knowledge based approach

 Implemented a combined knowledge based with a neural network approach

 Taught Digital Control Class for undergraduate students

 Supervised undergraduate thesis work control systems and expert system projects

 Undertaken several knowledge based system projects for manufacturing

applications

Research Assistant (9/87-12/89)

Department of Electrical Engineering

The University of Saskatchewan at Saskatoon, Canada

 VAX System Manager(9/88-12/89)

 Taught and graded undergraduate control and electronics courses.

 Supervised undergraduate labs

Project Engineer (7/86-8/87)

Engineers India Limited, New Delhi India

 Worked in automating the power plant by supervisory control.

 Developed various software for; operator communication, equipment health

monitoring, plant performance, transformer tap change control, load sharing

 Load shedding

 Examined software for communication protocols for Local Area Networks

 Worked on PLC design and implementation

 Implemented supervisory control of gas pipe lines using VAX 11/780 through

Satellite communication.

 Developed software for SCADA

Programming Languages : FORTRAN V and 77, Basic, Pascal, C, C++

VAL Language for controlling robots

Programming Languages Developed : EXPA-Natural language

Computer Experience : VAX 11/750, UNIX, DOS

Software Experience : Software for CRS plus, Excalibur Robot,

PUMA Robot, ASEA Robot, Image

processing software, Micro logic for

simulation of digital circuits, Auto Cad,

Lotus 123, Scribe, Telegraph, Ms Word.

ACTIVITIES:

 Member of Institution of Engineers, India (82-86)

 Member of IEEE Institution of Engineers Inc., USA (88-Present)

 Sr. Member (99-present)

 Honorary member of Eta Kappa Nu(93-Present)

 Honorary member of Tau Beta Pi (93-Present)

 Inducted as a Member into International Scientific Research Society Sigma Xi (94-

Present)

 SAE Member (96-present)

Other Professional Activities:

 Program Chairman for IEEE Illinois Valley Section (94-95)

 Branch Counselor, IEEE Student Branch of Univ of Missouri Rolla and Missouri

S&T (03-10)

 Secretary Institution of Engineers (86)

 Chaired sessions, IEEE International Conference on Intelligent Control

(95,96,01, 04)

 Reviewer for IEEE Trans. on Neural Networks (93-Present)

 Reviewer for IEEE Trans. on Automatic Control (93-Present)

 Reviewer for Journal of Intelligent Robotic Systems (93-Present)

 Reviewer for IEEE Control Systems Magazine (92-Present)

 Chaired sessions in American Control Conference (94-Present)

 Reviewer for American Control Conference (93-Present)

 Reviewer for IEEE Conference on Decision and Control (92-Present)

 Reviewer for IEEE Conference on Robotics and Automation(93-Present)

 Reviewer for IEEE Mediterranean Symposium on Control Directions (94-Present)

 Program Committee, Mediterranean Symposium on Control Directions (00, 04)

 Reviewer for IEEE Symposium on Intelligent Control (93-Present)

 Reviewer for IEEE Conference on Fuzzy Systems (96-Present)

 Program Committee for IEEE Symposium on Intelligent Control (96, 99, 01,

03,05)

 Chaired sessions in Conference in Decision and Control (1997-till date)

 Reviewer for IEE Transactions and Proceedings (1995-Present)

 Reviewer for ASME Transactions on Measurements, Dynamics and Control (94-

present)

 Reviewer for IEEE Transactions on Robotics and Automation (95-Present)

 Reviewer for IEEE Transactions on Information Technology in Biomedicince (99-

Present)

 Reviewer for International Journal of Adaptive and Signal Processing

 Reviewer for Automatica (95-Todate)

 Reviewer, IEEE Transactions on Networking (99-Todate)

 Reviewer, Neurocomputing (04-)

 Finance Chair, 2004 IEEE Symposium on Intelligent Control

 Program Committee, 2004 IEEE Conference on Cybernetics and Intelligent

Systems (http://cis-ram.nus.edu.sg/)

 Program Committee, 2004 International Conference on Intelligent Knowledge

Systems (IKS), Turkey (http://www.ikss.org/iks-2004.htm)

 Steering Committee, 2005 International Congress for Global Science and

Technology

 Publicity Chair, 2006 International Conference on Networking, Sensing and

Control

 Invited Sessions Chair, 2006 International Symposium on Intelligent Control

 Program Chair, 2007 International Symposium on Intelligent Control as part of

first multi conference on systems and control, Singapore

 Publicity Chair, 2007 International Symposium on Adaptive Dynamic

Programming

 International Technical Program Committee, 2008, 2009 International

Conference of Wireless Communication and Networking (IEEE WCNC)

 Program Committee, 2008 IEEE International Joint Conference on Neural

Networks

 Program Committee, 2009 International Conference on Systems of Systems

Engineering (SoSE)

 Program Committee, 2009,2010 IEEE Globecom

 Program Committee, 2009 IEEE ADPRL

 Invited Session Chair, 2009 IEEE Mediterranean Symposium on Controls and

Automation

 Program Committee, 2009, 2010 IEEE IJCNN, July 20-23, Barcelona, Spain

 Program Committee, 2010 8th International Conference on Controls and

Automation (IEEE ICCA), June 9-11th, Xiamen, China

 Program Committee, 2010 IEEE Wireless Communications and Networking

Conference, April 18-22nd, Sydney, Australia

 Program Committee, 2010 7th International Conference on Informatics in

Control, Automation and Robotics (ICINCO 2010), 15-18th June, Portugal

 Program Committee, 2010 Knowledge-based Intelligent Information and

Engineered Systems (KES), Sept. 8-10th, Cardiff UK

 Program Committee, 2009, 2010 IEEE SenseApp, Oct 11th-14th, Denver, CO

 Program Committee, 2011 3rd International Symposium on Computational

Intelligence and Data Mining, Paris (CIDM), April 11-25, 2011.

 Program Chair, CCA part of 2011 IEEE Multi-Conference on Systems and

Control, Sept 28-30th, Denver CO

 Program Chair, 2011 IEEE ADPRL, April 11-15, Paris, France

 Member of the International Technical Program Committee, IEEE

International Joint Conference on Neural Networks, (IJCNN), July 29-

August 5, 2011, San Jose, CA.

 Member of the International Technical Program Committee, 8th

International Conference on Informatics in Control, Automation and

Robotics (ICINCO 2011), 15-18th June, 2011, Portugal.

 International Program Committee, 2011 IEEE International Conference on

Wireless and Mobile Computing, Networking and Communications (WiMob

2011) Shanghai China, October 10-12.

 Technical Program Committee, 2012 IEEE International Conference on

Communications (ICC)

 International Program Committee, 2012 IEEE Conference on Control

Applications

 Registration Chair, 2012 IEEE Conference on Decision and Control, Orlando,

Dec 2012.

 Program Co-Chair, 2013 IEEE ADPRL, April 15-19, Singapore

 Vice Chair, Technical Committee on Adaptive Dynamic Programming and

Reinforcement Learning, IEEE CIS (2013-

 Sponsors and Exhibits Chair, 2013 IEEE Conference on Neural Networks,

Dallas, Texas

 International Program Committee Member, 2013 IASTED International

Conference on Control and Applications (CA 2013) August 2013.

 International Program Committee Member, 2013 Informatics in Control,

Automation and Robotics ICINCO

 International Program Committee Member, 2013 10th IEEE International

Conference on Control & Automation (ICCA)

 International Program Committee Member, 2013 IEEE ICC 2013 Wireless

Communications Symposium

 International Advisory Committee, 2014 ACODS

Other Academic Activities:

 Search Committee Chair, ECE Department Chair (2012-

 Member, ECE representative of the Budget Affairs Committee (2009-)

 Member, Electronics Faculty Position Recruitment Committee (2012)

 Member, Public Occasions (2011-

 Controls Area Coordinator (2011-

 Member, Dept Executive Committee (2011-

 Member, Campus Professional Degree Selection Committee (2010-)

 Promotion and Tenure Evaluation Faculty member, Engineering Management and

Systems Engineering (2010)

 Dept. P&T Chair (2010-)

 Member, University Wide Tenure Committee (2009)

 Faculty Service Awards Committee (2009)

 ECE Representative, Promotion and Tenure Policy Committee (2008-10)

 Chair, Control Systems Search Committee (2007-08)

 ECE representative, Campus Tenure Committee (07-08)

 Member, Compliance Committee(07-

 Member, UM Patent Committee (06-

 Member, Faculty Recruitment Committee Power (2006)

 Member, Academic Freedom Committee(05-09)

 Member, Communications Faculty Recruitment Committee (2005)

 Member, School of Engineering Honors Committee (03-06)

 Member, School of Engineering Awards Committee (02-05)

 Member, Dept Graduate Curriculum Committee (06-

 Member, Dept. Laboratory Committee (02-05)

 Member, Library Committee (04-05)

 Advisor, IEEE Student Branch (03-10)

 Member, Graduate Faculty Council

 University of Texas Honors Program Committee

 University of Texas Graduate Studies Committee

 UTSA Library Committee.

 UTSA EE Faculty Committee.

 UTSA College of Engineering Implementation Committee.

 Member, Academic Policy and Curricula Committee

 Member, Committee for Several Graduate Students

Administrative Experience

1. Currently managing NSF I/UCRC Center with 8 companies, several faculty members and part of

60+ company members over three campuses.

2. Established Embedded Systems and Networking Laboratory at the University of Missouri-Rolla.

3. Worked with other faculty on the Bioengineering Ph.D. Proposal for EE Department at UTSA and

University Health Science Center. It is approved in 2001.

4. Assisted the Dean to develop Electrical Engineering Ph.D. Proposal at University of Texas at San

Antonio.

5. Director & Consultant, Systems and Controls Research, Caterpillar, Inc from 1996-1998, where I

supervised a total of 15 engineers with budgets planned every year. My responsibilities included

hiring and guiding people.

6. Established Intelligent Systems Laboratory, funded by several agencies, at Univ. of Texas at San

Antonio. Several faculty members later joined the laboratory.

Keynote Talks

1. “Optimal adaptive control of uncertain continuous-time systems”, in 2013 Chinese Conference on

Decision and Control, Guiyang, China, May 25th, 2013.

2. Delivered keynote on ”Cyber-Physical Systems”, in NETCOM, Chennai, Dec 23rd, 2012

3. Delivered a talk in 2007 Intelligent Sensors, Sensor Networks and Information Processing

(ISSNIP), Dec 2007, Melbourne

4. Delivered a keynote talk at “Neural Network Control”, ANNIE 2009.

REFEREED JOURNAL PAPERS

1. Nurbanu Akylidz, Hao Xu, and S. Jagannathan, “Localization of near field radio controlled unintended

emitting sources in the presence of multipath fading”, IEEE Transactions on Instrumentation and

Measurement, accepted for publication, February 2013.

2. Qiming Zhao, Hao Xu, and S. Jagannathan, “Neural network-based finite-horizon optimal control of

uncertain affine nonlinear discrete-time systems”, IEEE Transactions on Neural Networks and Learning

Systems, accepted for publication with minor revision, February 2014.

3. Qiming Zhao, Hao Xu, and S. Jagannathan, “Optimal control of uncertain quantized linear discrete-

time systems”, International Journal of Adaptive Control and Signal Processing, accepted for publication,

January 2014.

4. W. Meng, Q.Yang, S. Jagannathan, “Adaptive neural control of high-order uncertain nonaffine

systems: A transformation to affine systems approach”, Automatica, Accepted, January 2014.

5. Hao Xu and S. Jagannathan, “Neural network based finite horizon stochastic optimal control design for

nonlinear networked control systems”, IEEE Transaction on Neural Networks and Learning Systems,

accepted with minor revision, December 2013.

6. Qiming Zhao, Hao Xu, and S. Jagannathan, “Reinforcement neural network learning-based near

optimal output feedback control”, Acta Automatica Sinica, accepted for publication, January 2014. (invited

paper).

7. Qiming Zhao, Hao Xu, and S. Jagannathan, “Fixed final time optimal adaptive control of linear

discrete-time systems in input-output form”, Journal of Artificial Intelligence and Soft Computing

Research, accepted for publication, Sept 2013. (invited paper).

8. H. Ferdowsi, S. Jagannathan, and M. Zawodniok, “An online outlier identification and removal

scheme for improving fault detection performance”, IEEE Transactions on Neural Networks and Learning

Systems, Accepted for publication, Sept. 2013.

9. Balaje Thumati, Miles Fienstein and S. Jagannathan, “A model based fault prognostics scheme for

Takagi-Sugeno systems”, IEEE Transactions on Fuzzy Systems, Accepted for publication, June 2013.

10. Hao Xu, S. Jagannathan, and F.L. Lewis, “Stochastic optimal output feedback design for unknown

linear discrete-time system zero-sum games under communication constraints”, Asian Journal of Control,

accepted for publication, May 2013. (invited paper).

11. Balaje Thumati and S. Jagannathan, “A model based fault prognostics scheme for uncertain nonlinear

discrete-time systems with multiple distinct faults”, Transactions of the Institute of Measurement and

Control, UK, doi: 10.1177/0142331213494992, October 2013.

12. Hassan Zargarzadeh, Travis Dierks and S. Jagannathan, “Adaptive neural network based optimal

control of nonlinear continuous-time systems in strict feedback form”, International Journal of Adaptive

Control and Signal Processing, doi: 10.1002/acs.2432, Sept 2013.

13. R. Basheer and S. Jagannathan, “Localization and tracking of objects using cross-correlation of

shadow fading noise”, IEEE Transactions on Mobile Computing, accepted for publication, January 2013.

14. David Nodland, H. Zargarzadeh, A. Ghosh, and S. Jagannathan, “Neuro-optimal control of an

unmanned helicopter”, Journal of Defense Modeling and Simulation, in Guest editorial by Greg Hudas, D.

Mikulski, and F. Lewis, vol. 11, no. 1, pp.5-18, January 2014.

15. V. Thotla, M. Ghasr, M. Zawodniok and S. Jagannathan, “Detection of super-regenerative receivers

using Hurst parameter”, IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 11, pp. 3006-

3014, March 2013.

16. S. Mehraeen, T. Dierks, S. Jagannathan, and Mariesa Crow, “Zero-sum two-player game theoretic

formulation of affine nonlinear discrete-time systems using neural networks”, IEEE Transactions on

Systems, Man and Cybernetics, vol. 43, no. 6, pp. 1641-1655, 2013.

17. H. Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear

discrete-time systems with additive and multiplicative faults”, Transactions of the Institute of Measurement

and Control, pp. 452-462, vol. 35, no. 6, August 2013.

18. T. Dierks, B. Brenner and S. Jagannathan, “Neural network-based optimal control of mobile robot

formation with reduced information exchange”, IEEE Transactions on Control Systems Technology, vol.

21, no. 4, 1407-1415, July 2013.

19. J. Hertenstein and S. Jagannathan, “Simulation and detection of unintended electromagnetic emissions

from super-regenerative receivers”, IEEE Transactions on Instrumentation and Measurement, vol. 62, no.

7, pp. 2093-2100, July 2013.

20. M. Ghasr, Vivek Thotla, M. Zawodniok and J. Sarangapani, “Detection of super regenerative receiver

using amplitude modulated stimulation”, IEEE Transactions on Instrumentation and Measurement, vol. 62,

no. 7, pp. 2029-2036, July 2013.

21. David Nodland, Hassan Zargarzadeh and S. Jagannathan, “Neural network-based optimal adaptive

output feedback control of a helicopter UAV”, IEEE Transactions on Neural Networks and Learning

Systems, vol. 24, no. 7, pp. 1061-1073, July 2013.

22. R. Basheer and S. Jagannathan, “Localization of RFID tags using stochastic tunneling”, IEEE

Transactions on Mobile Computing, Vo. 12, no. 6, pp. 1225-1235, June 2013.

23. B. T. Thumati, G. Halligan and S. Jagannathan, “A novel fault diagnostics and prognostics scheme

using a nonlinear observer with artificial immune system as an online approximator”, IEEE Transactions on

Control Systems Technology, vol. 21, no. 3, pp. 569-578, May 2013.

24. Hao Xu and S. Jagannathan, “Stochastic optimal controller design for uncertain nonlinear networked

control system via neuro dynamic programming”, IEEE Transactions on Neural Networks and Learning

Systems, , vol. 24, issue. 3, pp. 471-484, March 2013.

25. Priya Kasirajan, Carl Larsen, and S. Jagannathan,” A new data aggregation scheme via adaptive

compression for wireless sensor networks”, ACM Transactions on Sensor Networks, vol.9, no.1, pp. 5:1-

5:26, Feb. 2013.

26. Hao Xu and S. Jagannathan, “Optimal adaptive distributed power allocation for enhanced cognitive

radio network in the presence of channel uncertainties”, International Journal of Computer Networks and

Communications, vol. 5, no. 1, pp. 1-20, January 2013.

27. Hassan Zargarzadeh, S. Jagannathan and J. Drallmeier, “Optimal adaptive NN control of nonaffine

nonlinear discrete-time systems with application to HCCI engines”, International Journal of Adaptive

Control and Signal Processing, pp. 592-613, vol. 26, no. 7, 2012. (invited paper)

28. J. Massey, J.B. Bettis, J. Drallmeier and J. Sarangapani, “A thermodynamic based HCCI engine model

for adaptive nonlinear controller development" , Proceedings of the Institution of Mechanical Engineers,

Part D, Journal of Automobile Engineering, Volume 226, no. 11, pp. 1547 - 1563, November 2012.

29. Travis Dierks and S. Jagannathan, “Online optimal control of affine nonlinear discrete-time systems

with unknown internal dynamics by using time-based policy update”, IEEE Transactions on Neural

Networks and Learning Systems, vol. 23, no. 7, July 2012.

30. Hao Xu, S. Jagannathan, F. L. Lewis, “Stochastic optimal control of unknown networked control

systems in the presence of random delays and packet losses”, Automatica, vol. 48, no. 6, pp. 1017-1030,

June 2012.

31. Q. Yang and S. Jagannathan, “Reinforcement learning controller design for affine nonlinear discrete-

time systems using online approximators”, IEEE Transactions on Systems, Man and Cybernetics: Part B,

vol. 42, no. 2, pp. 377-390, April 2012.

32. T. Dierks, B. Thumati, and S. Jagannathan, “An online model-based fault accommodation scheme for

nonholonomic mobile robots in formation”, Journal of Defense Modeling and Simulation, in Guest editorial

by Greg Hudas, D. Mikulski, and F. Lewis, vol. 9, no. 1, pp.17-32, January 2012.

33. A. Soylemezoglu, S. Jagannathan and C. Saygin, “Mahalanobis-Taguchi system as a multi-sensor

based decision making prognostics tool for centrifugal pump”, IEEE Transactions on Reliability, vol.60,

no.4, pp.864-878, December 2011.

34. S. Mehraeen and S. Jagannathan, “Decentralized near optimal control of a class of interconnected

nonlinear discrete-time systems by using online Hamilton-Jacobi-Bellman formulation”, IEEE Transactions

on Neural Networks, vol. 22, no. 11, pp. 1757-1769. November 2011.

35. S. Mehraeen, S. Jagannathan, and M. L. Crow, “Decentralized dynamic surface control of large scale

interconnected systems in strict feedback form by using neural networks with asymptotic stabilization”,

IEEE Transactions on Neural Networks, vol.22, no. 11, pp. 1709-1722. November 2011.

36. B. Eslamnour, S. Jagannathan, and M. Zawodniok, “Dynamic channel allocation in wireless networks

using adaptive learning automata”, International Journal of Wireless Information Networks, Published

electronically, vol. 18, No. 4, pp. 295-308, 2011.

37. C. Saygin and S. Jagannathan, “Radio frequency identification (RFID) enabling lean manufacturing”,

International Journal of Manufacturing Research, vol. 6, no. 4, pp. 321-336, 2011.

38. S. Ferrari, S. Jagannathan and F. Lewis, “Approximate dynamic programming and reinforcement

learning: editorial”, Journal of Control Theory and Applications, vol. 9, no.3, pp.309, August 2011.

39. T. Dierks and S. Jagannathan, “Online optimal control of nonlinear discrete-time systems using

approximate dynamic programming”, Journal of Control Theory and Applications, vol. 9, no.3, pp.361-

369, August 2011.

40. Gary Halligan and S. Jagannathan, “PCA-based fault isolation and prognostics with application to

pump”, International Journal of Advanced Manufacturing Technology, vol. 55, no. 5, pp. 699-707, 2011.

41. E. Taqieddin, A. Miller and S. Jagannathan, Survivability and reliability analysis of the trusted link

state protocol for wireless ad hoc networks”, International Journal of Wireless and Mobile Networks, vol.

3, no. 2, pp. 77-89, April 2011.

42. T. Dierks, B. Brenner, and S. Jagannathan, “Discrete time optimal control of nonholonomic mobile

robot formations using linearly parameterized neural networks”, International Journal of Robotics and

Automation, vol. 26, no. 1, pp. 76-85, 2011. (invited)

43. A. Soylemezoglu, S. Jagannathan, and C. Saygin, “Mahalanobis-Taguchi-System as a prognostics tool

for rolling element bearing failures”, ASME Journal of Manufacturing Science and Engineering, vol. 132,

no. 5, Oct 2010.

44. M. L. Crow, M. Zarghami, and S. Jagannathan, “Nonlinear control of FACTS devices for damping

inter-area oscillations in power systems”, IEEE Transactions on Power Delivery, vol. 25, no. 4, pp. 3113-

3121, Oct. 2010.

45. S. Mehraeen, S. Jagannathan, and M. L. Crow, “Power system stabilization using adaptive dynamic

surface control”, IEEE Transactions on Power Systems, vol. pp, no. 99, pp. 1-12, 2010.

46. S. Mehraeen, S. Jagannathan, and M. L. Crow, “Novel dynamic representation and control of power

systems with FACTS devices”, IEEE Transactions on Power Systems, vol. 25, no. 3, pp.1542-1554, May

2010.

47. T. Dierks and S. Jagannathan, “Neural network output feedback control of robot formations”, IEEE

Transactions on Systems, Man and Cybernetics: Part B, vol.40, no. 2, pp. 383-399, April 2010.

48. B. Thumati and S. Jagannathan, “A model based fault detection and prediction scheme for nonlinear

multivariable discrete-time systems with asymptotic stability guarantees”, IEEE Transactions on Neural

Networks, vo. 21, no.3, pp. 404-423, March 2010. (A short review appeared in IEEE Computational

Intelligence Magazine)

49. S. Mehraeen, S. Jagannathan, and K. Corzine, “Energy harvesting from vibration with high voltage

(>100V) scavenging circuitry and tapered cantilever beam”, IEEE Transactions on Industrial Electronics,

vol.57, no. 3, pp. 820-830, March 2010.

50. M. Zarghami, M. L. Crow, and S. Jagannathan (J. Sarangapani), J. Liu, and S. Attcitty, “A novel

approach to inter-area oscillation damping by unified power flow controllers utilizing ultra-capacitors”,

IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 404-412, February 2010.

51. T. Dierks and S. Jagannathan, “Output feedback control of a quadrotor UAV using neural networks”,

IEEE Transactions on Neural Networks, vol.21, no.1, pp. 50-66, January 2010.

52. C. Saygin, Deepak Mohan, and S. Jagannathan, “Real-time detection of grip length deviation during

fastening of bolted joints: A Mahalanobis-Taguchi System (MTS) based approach”, Journal of Intelligent

Manufacturing, vol. 21, no. 4, pp. 377-392, 2010.

53. J.W. Fonda, M. Zawodniok, S. Jagannathan, and S. Watkins, “Adaptive distributed fair scheduling for

multiple channels in wireless sensor networks”, International Journal of Distributed Sensor Networks, vol.

5(6), pp. 824-833, 2009.

54. B. Thumati and S. Jagannathan, “A robust fault detection and prognostics scheme for nonlinear

discrete time input-output systems”, International Journal of Computational Intelligence in Control, vol. 2,

no. 1, pp.71-83, December 2009.

55. P. Shih, B. Kaul, S. Jagannathan, and J. Drallmeier, “Reinforcement learning based output-feedback

control of nonstrict nonlinear discrete-time systems with application to engine emission control”, IEEE

Transactions on Systems, Man and Cybernetics: Part B, vol. 39, no. 5, Page(s):1162 – 1179, Oct. 2009.

56. T. Landstra, M. Zawodniok and S. Jagannathan, “Energy efficient hybrid key management protocols

for wireless sensor networks, Int. Journal of Network Security, vol.9, no.2, pp.121-134, Sept. 2009.

57. T. Dierks, B. Thumati, and S. Jagannathan, “Optimal control of unknown affine nonlinear discrete-

time systems using offline-trained neural networks with proof of convergence”, Neural Networks,

vol.22.pp. 851-860, 2009.

58. B. Kaul, J. Vance, J. Drallmeier, and Jagannathan Sarangapani, “A method for predicting performance

improvements with effective cycle-to-cycle control of highly dilute SI engine combustion”, Journal of

Automobile Engineering, Proceedings of the Institution of Engineers-Part D, vol. 223,pp. 423-438, 2009.

59. T. Dierks and S. Jagannathan, “Asymptotic adaptive neural network tracking control of nonholonomic

mobile robot formations”, Journal of Intelligent and Robotic Systems: Special Issue, vol. 56, no.1-2, pp.

153-176, 2009.

60. A. Soylemezoglu, M. Zawodniok, and S. Jagannathan, “RFID based smart freezer”, IEEE Transactions

on Industrial Electronics: Special Issue on RFID Technology, vol. 56, no. 7, pp.2347-2356, July 2009.

61. Reghu Anguswamy, C. Saygin, and S. Jagannathan, “In-process detection of fastener grip length using

embedded mobile wireless sensor network-based pull type tools”, International Journal of Manufacturing

Technologies and Special Issue on Advanced Manufacturing Technologies, vol. 4, no.2, pp. 154-170, 2009.

62. T. Dierks and S. Jagannathan, “Neural network control of mobile robot formations using RISE

feedback”, IEEE Transactions on Systems, Man and Cybernetics: Part B, vol. 39, no. 2, pp. 332-347, April

2009.

63. Q. Yang and S. Jagannathan, “Adaptive creep and hysteresis compensation

for nanomanipulation using atomic force microscope”, Asian Journal of Control, Special Issue in Nano

Manipulation and Control, vol. 11, no. 2, pp. 182-187, March 2009.

64. Jianjun Guo, M. L. Crow and S. Jagannathan, “An improved UPFC control for oscillation damping”,

IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 288-296, February 2009.

65. J. Vance, B. Kaul, S. Jagannathan, and J. Drallmeier, “Neuro-emission controller for minimizing cyclic

dispersion of spark ignition engines with EGR levels”, International Journal of General Systems, vol. 37,

no. 6, pp.44-71, January 2009.

66. S. Jagannathan and P. He, “Neural network-based state feedback control of nonlinear discrete-time

system in non-strict feedback form”, IEEE Transactions on Neural Networks, vol. 19, no. 12, pp. 2073-

2087, December 2008.

67. Deepak Mohan, C. Saygin, and S. Jagannathan, “Real-time detection of grip length deviation during

pull-type fastening: A Mahalanobis-Taguchi System (MTS) based approach”, International Journal of

Manufacturing Technology, vol.39, No.9-10, pp. 995-1008, November 2008.

68. Kainan Cha, A. Ramachandran, and S. Jagannathan”, Adaptive and probabilistic power control

algorithms in dense RFID networks”, International Journal of Distributed Sensor Networks, vol. 4, no. 4,

2008.

69. E. Taqieddin, S. Jagannathan, and A. Miller, “Optimal energy delay routing protocol with trust levels

for wireless ad hoc networks”, International Journal of Network Security, vol. 7, no. 2, pp. 207-217, Sept.

2008.

70. P. Shih, B. Kaul, S. Jagannathan, and J. Drallmeier, “Reinforcement learning based dual-control

methodology for complex nonlinear discrete-time systems with application to spark engine EGR

operation”, IEEE Transactions on Neural Networks, vol. 19, no. 8, pp. 1369-1388, August 2008.

71. Q. Yang, J. Vance and S. Jagannathan, “Neural network control of nonaffine nonlinear discrete-time

systems”, IEEE Transactions on Systems, Man and Cybernetics: Part B, vol. 38, no. 4, pp. 994-1001,

August 2008.

72. Anil Ramachandran and S. Jagannathan, “Use of frequency diversity in signal strength based location

determination”, Int. Journal of Ad hoc and Sensor Wireless Networks, vol. 5, no.3-4, pp. 203-233, 2008.

73. J. Fonda, M. Zawodniok, S. Jagannathan and S. Watkins, ”Optimized energy-delay subnet routing

protocol development and implementation for wireless sensor networks”, Smart Materials and Structures,

vol. 17, 045015, pp. 1-14, June 2008.

74. J. Vance and S. Jagannathan, “Discrete-time neural network control of nonlinear systems in nonstrict

feedback form”, Automatica, vol. 44, no. 4, pp. 1020-1027, April 2008.

75. Q. Yang, S. Jagannathan and E. Bohanan,”Automatic drift compensation using phase-correlation

method for nanomanipulation”, IEEE Trans on Nanotechnology, vol. 7, no.2, pp. 209-216, March 2008.

76. J. Vance, A. Singh, B. Kaul, S. Jagannathan and J. Drallmeier, “Output feedback controller for

operation of spark ignition engines at lean conditions using neural networks”, IEEE Transactions on

Control Systems Technology, vol. 16, no.2, pp. 214-228, March 2008.

77. Q. Yang and S. Jagannathan, “A suite of robust controllers for the manipulation of micro-scale

objects”, IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 38, No. 1, pp. 113-125,

February 2008.

78. Z. Chen and S. Jagannathan, “Generalized Hamilton-Jacobi-Bellman formulation-based neural

network control of affine nonlinear discrete-time systems”, IEEE Transactions on Neural Networks, vol.

19, no. 1, pp. 90-106, January 2008.

79. K. Cha, S. Jagannathan, and D. Pommerenke, “Adaptive power control with hardware implementation

for wireless sensor and RFID networks”, IEEE Systems Journal: Special Issue on RFID Technology-

Opportunities and Challenges, Vol. 1, No. 2, pp. 145-153, Dec. 2007.

80. M. Zawodniok and S. Jagannathan, “Energy efficient rate adaptation MAC protocol for wireless ad

hoc networks”, International Journal of Wireless Information Networks, vol. 14, no. 4, pp. 251-263,

November 2007.

81. M. Zawodniok and S. Jagannathan, “Predictive congestion control MAC protocol for wireless sensor

networks”, IEEE Transactions on Wireless Communications, vol. 6, No. 11, pp. 3955 – 3963,Nov. 2007.

82. K. Mitchell, J. Fonda, S. Watkins and S. Jagannathan, “Embeddable modular hardware for multi-

functional sensor networks”, Smart Materials and Structures, vol. 16, No. 5, N27-N34, Sept. 2007.

83. Wenxin Liu, Jagannathan Sarangapani, G.K. Venayagamoorthy, Li Lu, D.C. Wunsch II, M. Crow, and

David A. Cartes, " Decentralized neural network-based excitation control large scale power systems,"

International Journal of Control, Automation, and Systems, vol. 5, no. 5, pp. 526-538, October 2007.

84. Wenxin Liu, Jagannathan Sarangapani, G.K. Venayagamoorthy, D.C. Wunsch II, Mariesa L. Crow,

and David A. Cartes, "Two neural network based decentralized controller designs for large scale power

systems," International Journal of Dynamics of Continuous, Discrete and Impulse Systems-Series B:

Application and Algorithm, vol. 14(S1), pp. 486-493, August 2007.

85. Wenxin Liu, Jagannathan Sarangapani, G.K. Venayagamoorthy, D.C. Wunsch II, Mariesa L. Crow,

and David A. Cartes, "Adaptive neural network based stabilizing controller design for single machine

infinite bus power systems," International Journal of Dynamics of Continuous, Discrete and Impulse

Systems - Series B: Supplement Advances in Neural Networks, vol. 14(S1), pp. 494-502, August 2007.

86. J. Vance, A. Singh, B. Kaul, S. Jagannathan and J. Drallmeier, “Neural network controller

development and implementation for spark ignition engines with high EGR levels”, IEEE Transactions on

Neural Networks, vol. 18, no. 4, pp. 1083-1100, July 2007.

87. P. He and S. Jagannathan, “Reinforcement learning-based neural network controller for nonlinear

discrete-time systems with input constraints”, IEEE Transactions on Systems, Man and Cybernetics-Part B,

vol. 37, no.2, pp. 425-437, April 2007.

88. K. Cha, M. Zawodniok, A. Ramachandran, S. Jagannathan and C. Saygin, "Interference mitigation and

read-rate improvement in RFID-based network centric environments", Sensor Review, vol. 26, no. 4, 2006.

89. Q. Yang and S. Jagannathan, “Atomic force microscope-based nano manipulation with drift

compensation”, International Journal of Nanotechnology, vol. 3, no.4, pp. 527-544, 2006.

90. A. Soylemezoglu, M.J. Zawodniok, K. Cha, D. Hall, J. Birt, Saygin, S. Jagannathan, "A testbed

architecture for Auto-ID technologies", Assembly Automation vol.26, no.2, pp.127-136, 2006.

91. M. Peng, S. Jagannathan and S. Subramanya, “End to end congestion control of multimedia high speed

Internet”, Journal of High Speed Networks, vol. 15, no. 4, pp. 357-378, 2006.

92. S. Jagannathan, M. Zawodniok and Q. Shang, “Distributed power control for cellular networks in the

presence of fading channels”, IEEE Transactions on Wireless Communications, vol.5, no.3, pp. 540-549,

March 2006.

93. P. He and S. Jagannathan, “Neuroemission controller for reducing cyclic dispersion in lean combustion

spark ignition engines”, Automatica, vol. 41, pp. 1133-1142, 2005.

94. P. He and S. Jagannathan, “Reinforcement-based neuro-output feedback control of nonlinear discrete-

time systems with input constraints”, IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 35,

no. 1, pp. 150-154, Feb. 2005.

95. S. Jagannathan, “Admission control design for high speed networks: A hybrid system approach”,

Journal of High Speed Networks, Vol. 14, pp. 263-281, 2005.

96. S. Jagannathan and G. Galan, “Adaptive critic neural network–based object grasping controller using a

three-fingered gripper”, IEEE Trans. on Neural Networks, vol. 15, No. 2, pp. 395-407, March 2004.

97. S. Jagannathan, and G. Galan, “A one-layer neural network controller with preprocessed inputs for

autonomous underwater vehicles”, IEEE Trans. on Vehicular Technology, vol. 52, no. 5, pp. 1342-1355,

Sept. 2003.

98. S. Jagannathan and J. Talluri, “Adaptive predictive congestion control of high-speed networks”, IEEE

Transactions on Broadcasting, vol.48, no.2, pp.129-139, June 2002.

99. S. Jagannathan and J. Talluri, “Predictive congestion control of ATM networks: Multiple

sources/single buffer scenario”, Automatica, vol. 38, pp. 815-820, 2002.

100. S. Jagannathan, " Control of a class of nonlinear systems using multilayered neural networks”, IEEE

Transactions on Neural Networks, vol.12, no. 5, pp. 1113-1120, September 2001.

101. S. Jagannathan, M.W. Vandergrift, and F. L. Lewis, "Adaptive fuzzy logic control of discrete-time

dynamical systems", Automatica, vol. 36, pp. 229-241, 2000.

102. S. Jagannathan and F. L. Lewis, “Robust backstepping control of a class of nonlinear systems using

Fuzzy Logic”, International Journal of Information Systems”, vol. 12-13, pp. 223-240, 2000. (invited)

103. S. Jagannathan and F. L. Lewis, “Feedback linearization of nonlinear systems using fuzzy logic”,

Journal of Intelligent and Fuzzy systems, vol.7, No.2, pp. 107-124, 1999.

104. S. Jagannathan, "Discrete-Time CMAC control of a feedback linearizable nonlinear systems under a

Persistence of Excitation", IEEE Trans. on Neural Networks, vol. 10, no. 1, pp.128-137, January 1999.

105. S. Jagannathan and F. L. Lewis, “Robust backstepping control of robot manipulators”, Journal of

Intelligent and Robotic Systems”, vol.23, pp.105-128, November 1998. (invited)

106. S. Jagannathan, "Adaptive fuzzy logic control of feedback linearizable nonlinear systems with

persistence of excitation", Automatica, vol. 34, no.11, pp, 1295-1310, November 1998.

107. S. Jagannathan, S. Commuri and F. L. Lewis, "Feedback linearization using CMAC neural networks",

Automatica, vol.34, no.3, March 1998.

108. S. Jagannathan, “Discrete-Time fuzzy logic control of a mobile robot with an onboard manipulator”,

International Journal of Systems Science, vol.28, no.12, pp. 1195-1209, 1997.

109. S. Jagannathan, "Automatic inspection of wave soldered joints using neural networks", Journal of

Manufacturing Systems, vol. 16, no.6, pp. 389-398, 1997.

110. S. Commuri, S. Jagannathan and F. L. Lewis, “CMAC neural network control of robot manipulators”,

Journal of Robotics Systems, vol.14, no.6, pp. 465-482, June 1997.

111. S. Jagannathan and F. L. Lewis, "Robust implicit self-tuning regulator/MRAC: convergence and

stability", Automatica, vol.32, no.12, pp.1629-1644, December 96.

112. S. Jagannathan and F. L. Lewis, "Identification of nonlinear dynamical systems using multilayered

neural networks", Automatica, vol.32, no.12, pp.1707-1712, December 1996.

113. S. Jagannathan and F. L. Lewis, "Discrete-time neural net controller for a class of nonlinear dynamical

systems", IEEE Trans. on Automatic Control, vol.41, no.11, pp. 1693-1699, November 1996.

114. S. Jagannathan, F.L.Lewis, and O.C. Pastravanu, "Discrete-time model reference adaptive control of

nonlinear dynamical systems using neural networks", International Journal of Control, vol.64, no.2, pp.

217-236, 1996.

115. S. Jagannathan and F. L. Lewis, "Discrete-time control of a class of nonlinear dynamical systems",

International Journal of Intelligent Control and Systems, vol.1, no.3, pp.297-325, September 1996.

116. S. Jagannathan and F. L. Lewis, "Neural network controller design and the effect of neural network

size on speed of learning", The International Journal of Intelligent Control and Systems, vol.1, no.1, pp.

119-132, March 96. (invited)

117. S. Jagannathan and F. L. Lewis, "Multilayer neural net controller for a class of nonlinear dynamical

systems", IEEE Trans. on Neural Networks, vol. 7, no.1, pp. 107-130, Jan. 1996.

118. S. Jagannathan, S. Q. Zhu and F. L. Lewis, "Path planning and control of mobile vehicles with

nonholonomic constraints", Robotica, vol. 12, pp. 529-539, 1994.

119. S. Jagannathan, F. L. Lewis, and K. Liu, "Motion control and obstacle avoidance of a mobile robot

with an onboard manipulator", International Journal of Intelligent Manufacturing Systems, vol.5, pp. 287-

302, 1994. (invited)

120. S. Jagannathan, D. Seebaluck and J. D. Jenness, "Intelligent inspection of wave soldered joints",

Journal of Manufacturing Systems, vol. 11, no.2, pp.137-143, Apr. 92.

Summary: 4.5 refereed journal papers/year.

JOURNAL PAPERS SUBMITTED

Several papers are in review.

BOOK REVIEWS

1. S. Jagannathan, Neural Engineering: Computation, Representation, and Dynamics in Neurobiological

Systems—by C. Eliasmith and C.H. Anderson, IEEE Control Systems Magazine, vol. 25, no. 6, pp. 102-

106, December 2005.

BOOKS PUBLISHED

1) F. L. Lewis, S. Jagannathan and A. Yesilderik, "Neural Network Control of Robot Manipulators and

Nonlinear Systems", Taylor and Francis, 1999.

2) S. Jagannathan, “Neural Network Control of Nonlinear Discrete-Time Systems”, CRC Press, April 2006.

3) S. Jagannathan, “Wireless Ad hoc and Sensor Networks: Protocols, Performance and Control”, CRC

Press, April 2007.

4) S. Jagannathan and Hao Xu, “Optimal Networked Control Systems”, CRC Press, June 2014.

BOOK CHAPTERS

1) S. Jagannathan and H. Xu, “Neural networks for optimal feedback control”, Online Version, Wiley

Encyclopedia of Electrical and Electronics Engineering, Accepted, 2013.

2) H. Xu, A. Sahoo, and S. Jagannathan, “Neural network control of nonlinear discrete-time systems in

affine form in the presence of a communication network“, ICICIP Book Chapter, Editors: Derong Liu,

Cesare Alippi, Dongbin Zhao, Huaguang Zhang, in Press 2014.

3) Hassan Zargarzadeh, Q. Yang, and S. Jagannathan, “Optimal control of nonaffine nonlinear discrete-

time systems without using value and policy iterations”, eds. By F. Lewis and D. Liu, IEEE Press, 2013.

4) David Nodland, H. Zargarzadeh, Arpita Ghosh, and S. Jagannathan, “Neural network-based optimal

control of an unmanned helicopter”, AIAA Press, Progress in Aero and Astro, Eds. By John Valasek, 2012.

5) T. Dierks, B. Thumati and S. Jagannathan, “Fault tolerant control of nonholonomic robot formations”,

IGI's book "Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior" September

2009.

6) B. Thumati and S. Jagannathan, “Estimation and control of nonlinear discrete-time systems”, Recent

Advances in Intelligent Control Systems, Eds. Wen Yu, pp. 89-124, Springer-Verlag, May 2009.

7) T. Dierks and S. Jagannathan, “Neural network control and wireless sensor network based localization of

Quad rotor UAV”, Aerial Vehicles, I-Tech, Vienna, Austria, December 2008.

8) C. Saygin, J. Sarangapani, and S.E. Grassman, “A Systems approach to viable RFID implementation in

the supply chain” in Trends in Supply Chain Design and Management: Technologies and Methodologies,

Editors: Hosang Jung, F. Frank Chen, and Bongju Jeong, Springer, March 2007.

9) S. Jagannathan and F. L. Lewis, "Discrete-time neural network control of nonlinear systems", CRC

Press, pp. 149-176, 1999.

10) S. Jagannathan, "Adaptive fuzzy logic control of feedback linearizable nonlinear systems", Advances

in Fuzzy Control, Springer-Verlag Series, pp.225-261, 1998.

11) F. L. Lewis, S. Jagannathan and A. Yesilderik, "Neural network control of robot arms and nonlinear

systems", Neural Networks for control, Academic Press, pp. 161-212, 1997.

WEB SYMPOSIUM

1. S. Jagannathan and J. Talluri, “Adaptive traffic rate control of ATM networks”, OSEE online

Symposium, Cambridge, October 2000.

2. S. Jagannathan and A. Tohmaz, “Adaptive bandwidth estimation and allocation in ATM

networks”,OSEE online Symposium, Cambridge, April 2001.

REFEREED CONFERENCE PAPERS

1. Hao Xu and S. Jagannathan, “Finite horizon stochastic optimal control of nonlinear two-player

zero-sum games under communication constraint”, Proc. of the International Joint Conference on Neural

Networks, Beijing China, July 2014.

2. Avimanyu Sahoo, Hao Xu and S. Jagannathan, “Near optimal event-based control of nonlinear

discrete-time systems in affine form with measured input-output data”, Proc. of the International Joint

Conference on Neural Networks, Beijing China, July 2014.

3. Hao Xu, Qiming Zhao, Travis Dierks, and S. Jagannathan “Finite-horizon approximately optimal

control of uncertain affine nonlinear continuous-time systems”, Proc. of the American Controls

Conference, accepted for publication, January 2014.

4. Qiming Zhao, Hao Xu, and S. Jagannathan, “Fixed final-time near optimal regulation of nonlinear

discrete-time systems in affine form using output feedback”, Proc. of the American Controls Conference,

accepted for publication, January 2014.

5. Hasan Ferdowsi and S. Jagannathan, “Fault diagnosis of a class of distributed parameter systems

modeled by parabolic partial differential equations”, Proc. of the American Controls Conference, accepted

for publication, January 2014.

6. H. Zargarzadeh, S. Jagannathan, James A. Drallmeier, “Extremum-seeking for nonlinear discrete-

time systems with application to HCCI Engines”, Proc. of the American Controls Conference, accepted for

publication, January 2014.

7. Avimanyu Sahoo*, Hao Xu, S. Jagannathan, “Neural network approximation-based event-

triggered control of uncertain MIMO nonlinear discrete time systems”, Proc. of the American Controls

Conference, accepted for publication, January 2014.

8. Qiming Zhao, Hao Xu, and S. Jagannathan. “Finite horizon neural network-based optimal

adaptive control design for affine nonlinear discrete-time systems”, Proc. of the Multi Conference on

Systems and Control, pp. 41-46, August 2013.

9. A. Sahoo, Hao Xu, S. Jagannathan, “Neural network-based adaptive event-triggered control of

nonlinear continuous-time systems in affine form”, Proc. of the Multi Conference on Systems and Control,

pp. 35-40, August 2013.

10. Ivo Grondman, Hao Xu, S. Jagannathan and Robert Babuska, “Solutions to finite horizon cost

problems using actor-critic reinforcement learning”, Proc. of the International Joint Conference on Neural

Networks, pp. 325-331, August 2013.

11. H. Xu and S. Jagannathan, “Neural network based finite horizon stochastic optimal controller

design for nonlinear networked control systems”, Proc. of the International Joint Conference on Neural

Networks, pp. 318-324, August 2013.

12. Qiming Zhao, Hao Xu, Travis Dierks and Jagannathan Sarangapani. “Finite-horizon neural

network-based optimal control design for affine nonlinear continuous-time systems”, Proc. of the

International Joint Conference on Neural Networks, pp. 2545-2550, August 2013.

13. Hasan Ferdowsi, S. Jagannathan and M. Zawodniok, “A neural network based outlier

identification and removal scheme”, Proc. of the IEEE International Conference on Prognostics and Health

Management, pp. 1-6, June 2013.

14. Hasan Ferdowsi, S. Jagannathan and M. Zawodniok, “Neural network based fault detection and

accommodation scheme for distributed systems”, Proc. of the IEEE International Conference on

Prognostics and Health Management, pp. 1-6, June 2013.

15. A. Sahoo, Hao Xu, S. Jagannathan, “Adaptive event-triggered control of an uncertain linear

discrete time system using measured input and output data”, Proc. of the American Controls Conference,

pp. 5692-5697, June 2013.

16. A. Sahoo, Hao Xu, S. Jagannathan, “Neural network-based adaptive event trigger control of affine

nonlinear discrete time systems with unknown internal dynamics”, Proc. of the American Controls

Conference, pp. 6433-6438, June 2013.

17. Hao Xu and S. Jagannathan, “Finite horizon optimal adaptive control of uncertain continuous-time

systems”, Proc. Of the Yale Workshop on Adaptive and Learning Systems, New Haven, CT, June 4-6

2013.

18. V. Thotla, M. Ghasr, M. Zawodniok and S. Jagannathan, “Correlation based detection and

localization of R/C Electronic devices using array detectors”, Proceedings of the IEEE International

Instrumentation and Measurement Technology Conference (I2MTC), May 2013.

19. Haifeng Niu and S. Jagannathan, “Passive RFID tag with multimodal sensors with applications”,

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference

(I2MTC), May 2013.

20. Qiming Zhao, Hao Xu and S. Jagannathan, “Finite horizon optimal control design for uncertain

linear discrete-time systems”, Proc. Of the IEEE Symposium on Adaptive Dynamic Programming and

Reinforcement Learning, pp. 6-12, April 2013.

21. Hao Xu and S. Jagannathan, “Finite-horizon stochastic optimal control of uncertain linear

networked control systems”, Proc. Of the IEEE Symposium on Adaptive Dynamic Programming and

Reinforcement Learning, pp. 24-30, April 2013.

22. Haci Guzey and S. Jagannathan, “Neural network-based consensus formation control of mobile

robots”, Proc. Of the SPIE, April 2013.

23. E. Taqieddin and J. Sarangapani, "Vulnerability analysis of two ultra-lightweight RFID

authentication protocols: RAPP and gossamer," Proc. Of the International Conference For Internet

Technology And Secured Transactions, 2012, vol., no., pp.80-86, 10-12 Dec. 2012.

24. Hao Xu and S. Jagannathan, “Distributed joint optimal network scheduling and controller design

for wireless networks,” The Fourth International Conference on Networks and Communications

(NeTCoM), Springer Lecture Notes in Electrical Engineering, Vol. 2, pp. 147-162, Dec. 2012.

25. Hao Xu and S. Jagannathan, “Adaptive optimal distributed power allocation for enhanced

cognitive radio network in presence of channel uncertainties,” The Fourth International conference on

Networks and Communications (NeTCoM), Springer Lecture Notes in Electrical Engineering, vol. 2, pp.

359-370, Dec. 2012.

26. H. Zargarzadeh, Travis Dierks and S. Jagannathan, “Optimal adaptive control of nonlinear

continuous-time systems in strict feedback form with unknown internal dynamics”, Proceedings of the

IEEE Conference on Decision and Control, pp. 4127-4132, Dec 2012.

27. T. Dierks and S. Jagannathan, “A self-tuning optimal controller for affine nonlinear continuous-

time systems with unknown internal dynamics”, Proceedings of the IEEE Conference on Decision and

Control, pp. 5392-5397, Dec 2012.

28. Q. Zhao, H. Xu, and S. Jagannathan, “Optimal adaptive controller scheme for uncertain quantized

linear discrete-time system”, Proceedings of the IEEE Conference on Decision and Control, pp. 6132-6137,

Dec 2012.

29. Hao Xu and S. Jagannathan, “A cross layer approach to the novel distributed scheduling protocol

and event-triggered controller design for cyber physical systems”, Proceedings of the IEEE Conference on

Local Computer Networks, pp. 232-235, Oct 2012.

30. Thotla, Vivek; Ghasr, Mohammad Tayeb Ahmad; Zawodniok, Maciej; Jagannathan, S.; Agarwal,

Sanjeev; "Detection and localization of multiple R/C electronic devices using array detectors," Proceedings

of the IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp.1687-

1691, 13-16 May 2012.

31. David Nodland, H. Zargarzadeh, V. Thotla and S. Jagannathan, “Neuro optimal control of UAV

helicopter to detect unintended emissions”, Proc. of the SPIE Conference, Baltimore, vol. 8387, pp.

83870H, Baltimore, MD,2012.

32. Vivek Thotla, Mohammad T. A. Ghasr, M. Zawodniok, S. Jagannathan, and S. Agarwal,

“Detection and localization of R/C electronic devices using Hurst parameter”, Proc. of the SPIE

Conference, vol. 8359, pp. 835915, Baltimore, MD, 2012.

33. R. Kraleti, M. Zawodniok and S. Jagannathan, “Model-based diagnostics and prognostics of a

three Phase induction motor for vapor compressor applications”, Proc. of the IEEE International

Conference on Prognostics and Health Management, June 2012.

34. Hasan Ferdowsi, Deepthi S. L. Raja and S. Jagannathan, “A decentralized fault detection and

prediction scheme for nonlinear interconnected continuous-time systems”, Proc. of the International Joint

Conference on Neural Networks, pp. 791-797, June 10-15, Brisbane, Australia, 2012.

35. Qiming Zhao, Hao Xu and S. Jagannathan, “Adaptive dynamic programming-based state

quantized networked control system without value and/or policy iterations”, Proc. of the International Joint

Conference on Neural Networks, pp. 1168-1174, June 10-15, Brisbane, Australia, 2012.

36. Hao Xu and S. Jagannathan, “Stochastic optimal controller design for unknown networked control

systems under TCP”, Proc. of the American Controls Conference, pp. 6503-6508, Montreal, Canada, 2012.

37. Hassan Zargarzadeh, T. Dierks, and S. Jagannathan, “State and output feedback-based adaptive

optimal control of nonlinear continuous-time systems in strict feedback form”, Proc. of the American

Controls Conference, pp.6412-6417, June 27-29, Montreal, Canada, 2012.

38. Hasan Ferdowsi, Deepthi.L. Raja and S. Jagannathan, “Decentralized fault prognosis scheme for

nonlinear interconnected discrete-time systems”, Proc. of the American Controls Conference, pp. 5900-

5905, Montreal, Canada, 2012.

39. Shahab Mehraeen and S. Jagannathan, “Decentralized adaptive neural network state and output

feedback control of a class of interconnected nonlinear discrete-time systems”, Proc. of the American

Controls Conference, pp. 6406-6411, Montreal, Canada, 2012.

40. David J. Nodland, Hassan Zargarzadeh, and S. Jagannathan, “Neural network-based optimal

control for trajectory tracking of a Helicopter UAV”, Proc. of the IEEE Conference on Decision and

Control, pp. 3876-3881, Dec 2011.

41. Qinmin Yang and S. Jagannathan, “Robust integral of neural network and sign of tracking error

control of uncertain nonlinear affine systems using state and output feedback”, Proc. of the IEEE

Conference on Decision and Control, pp. 6765-6770, Dec 2011.

42. Hasan Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear

discrete-time systems with additive and multiplicative faults”, Proc. of the IEEE Conference on Decision

and Control, pp.1570-1575, Dec 2011

43. Hao Xu and S. Jagannathan, “Stochastic optimal control design for nonlinear networked control

system via neuro dynamic programming using input-output measurements”, Proc. of the IEEE Conference

on Decision and Control, pp. 136-141, Dec 2011.

44. M. Rana Basheer and S. Jagannathan, “'Localization of objects using cross-correlation of shadow

fading noise and copulas”, Proc. of the Globecom, pp. 1-5, Dec 2011.

45. G. Halligan, B. Thumati and S. Jagannathan, “Artificial immune system-based diagnostics and

prognostics scheme and its experimental verification”, Proc. of the Conference on Control Applications, pp.

958-963. Sept. 2011.

46. Balaje Thumati*, Miles Feinstein, James W. Fonda, Alfred Turnbull, Fay Weaver, Mark Calkins,

Sarangapani Jagannathan “An online model-based fault diagnosis scheme for HVAC systems”, Proc. of the

Conference on Control Applications, pp. 70-75, Sept. 2011.

47. Hao Xu, S. Jagannathan “Model-free H-infinite stochastic optimal design for unknown linear

networked control system zero-sum games via Q-learning”, Proc. of the IEEE Symposium on Intelligent

Control, pp. 198-203, Sept. 2011.

48. Qinmin Yang, S. Jagannathan, Y. Sun, “NN/RISE-based asymptotic tracking control of uncertain

nonlinear systems”, Proc. of the IEEE Symposium on Intelligent Control, pp. 1361-1366, Sept. 2011.

49. E. Taqieddin, M. Zawodniok, S. Jagannathan, and A. Miller, "Hardware implementation of the

energy-efficient hybrid key management protocol for wireless sensor networks", Proceedings of the

International Conference on Wireless Networks, Las Vegas, USA, 223 – 229, 2011.

50. Hao Xu and S. Jagannathan, “Stochastic optimal control of unknown linear networked control

system using Q-learning methodology”, Proc. of the American Controls Conference, pp. 2819-2824, June

2011.

51. Hao Xu and S. Jagannathan, “Optimal controller design for networked control system via adaptive

dynamic programming”, Proc. of the Yale Workshop, June 2011.

52. J. Hertenstein and S. Jagannathan, “Unintended emission detection and identification”, Proc. of

the SPIE Conference on Defense, Security and Sensing, vol. 8017, April 2011.

53. D. Nodland, A. Ghosh and S. Jagannathan, “Near optimal control of helicopter UAV”, Proc. of the

SPIE Conference on Defense, Security and Sensing, vol. 8045, pp. 1-10, April 2011.

54. B. Brenner, T. Dierks, and S. Jagannathan, “Neuro optimal control of robot formations”, Proc. of

the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 234-241, April

2011.

55. H. Zargarzadeh, S. Jagannathan and J. Drallmeier, “Near optimal control of nonaffine nonlinear

system with application to HCCI engines”, Proc. of the IEEE Symposium on Adaptive Dynamic

Programming and Reinforcement Learning, pp. 258-263, April 2011.

56. R. Basheer and S. Jagannathan, “'Localization of objects using stochastic tunneling”, Proc. of the

IEEE Wireless Communications and Networking Conference, pp. 587-592, March 2011.

57. T. Dierks and S. Jagannathan, “Optimal control of affine nonlinear continuous-time systems using

an online Hamilton-Jacobi-Isaacs formulation”, Proc. of the IEEE Conference on Decision and Control, pp.

3048-3053, December 2010.

58. S. Mehraeen, S. Jagannathan and M. L. Crow, “Decentralized state feedback and near optimal

adaptive neural network control of interconnected nonlinear discrete-time systems”, Proc. of the IEEE

Conference on Decision and Control, pp. 114-119, December 2010.

59. B. Eslamnour and S. Jagannathan, “Adaptive routing scheme for emerging wireless ad hoc

networks”, IEEE Symposium on Reliable Distributed System, pp. 318-322, Nov 2010.

60. P. Kasirajan, H. Xu, M. Zawodniok, and S. Jagannathan, “Demonstration of the multi-interface

multichannel channel routing protocol for wireless sensor networks using Missouri S&T motes”,

Proceedings of the IEEE Local Computer Networks, Oct 2010.

61. S. Agarwal, Y. Bodas, Jagannathan Sarangapani, and T. Smith, “Distributed spatiotemporal

detection in wireless sensor networks”, IEEE Conference on Wireless Information Technology and

Systems, August 2010.

62. James Fonda, S. Jagannathan and Steve Watkins, “Robust neural network RISE observer based

fault diagnostics and prediction”, Proc. of the IEEE International Conference on Neural Networks, pp. 1-8,

July 2010.

63. S. Mehraeen and S. Jagannathan, “Decentralized near optimal control of a class of interconnected

nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation”, Proc. of the IEEE

International Conference on Neural Networks, pp. 1-8, July 2010.

64. Shahab Mehraeen, Travis Dierks, S. Jagannathan, and M. L. Crow, “Zero-sum two-player game

theoretic formulation of affine nonlinear discrete-time systems using neural networks”, Proc. of the IEEE

International Joint Conference on Neural Networks, pp. 1-8, July 2010.

65. Travis Dierks and S. Jagannathan, “Optimal control of affine nonlinear continuous-time system”,

Proc. of the American Controls Conference, pp. 1568-1573, June 2010.

66. B. Thumati, T. Dierks, and S. Jagannathan, “Fault tolerant formation control of nonholonomic

mobile robots using online approximators." Proc. of the SPIE symposium on Defense, Security, and

Sensing, April 2010.

67. Rana Basheer and S. Jagannathan, “A new receiver placement scheme using Delaunay refinement

based triangulation”, Proc. of the IEEE Wireless Networks and Communications Conference, pp.1-6, April

2010.

68. Priya Kasirajan, Cal Larsen, and S. Jagannathan, “A new adaptive compression scheme for data

aggregation in wireless sensor networks, Proc. of the IEEE Wireless Networks and Communications

Conference, pp. 1-6, April 2010.

69. J. Bettis, J. Massey, J. Drallmeier, and S. Jagannathan, “Thermodynamic based modeling for

nonlinear control of combustion phasing in HCCI engines,” Proceedings of the 2010 Technical Meeting of

the Central States Section of the Combustion Institute, Champaign, Il, March 21-23, 2010.

70. T. Dierks and S. Jagannathan, “Optimal tracking control of affine nonlinear discrete-time systems

with unknown internal dynamics”, Proc. of the IEEE Conference on Decision and Control, pp. 6750-6755,

December 2009.

71. B. Thumati and S. Jagannathan, “A multilayer neural network based identification and control

scheme for a class of nonlinear discrete-time systems with asymptotic stability guarantee”, Proc. of the

IEEE Mediterranean Conference on Control and Automation, pp. 540-545, June 2009.

72. T. Dierks and S. Jagannathan, “Optimal control of affine nonlinear discrete-time systems”, Proc.

of the IEEE Mediterranean Conference on Control and Automation, pp. 1390-1395, June 2009.

73. M.R. Basheer and S. Jagannathan, “A new parameter to enhance location accuracy in RSSI based

real-time location systems”, Proc. of the IEEE Conference on Sensor, Mesh, and Ad hoc Communications

and Networks, pp. 1-9, June 2009.

74. S. Mehraeen, S. Jagannathan, and M. Crow, “Decentralized control of large scale interconnected

systems using adaptive neural network based dynamic surface control”, Proc. of the IEEE International

Joint Conference on Neural Networks, pp. 2058-2064, June 2009.

75. T. Dierks, B. Thumati and S. Jagannathan, “Adaptive dynamic programming based optimal

control of affine nonlinear discrete-time systems”, Proc. of the IEEE International Joint Conference on

Neural Networks, pp. 711-716, June 2009.

76. B. Thumati and S. Jagannathan, “A model-based fault detection and accommodation scheme for

nonlinear discrete-time systems with asymptotic stability guarantees”, Proc. of the American Controls

Conference, pp. 4988-4993, June 2009.

77. T. Dierks and S. Jagannathan, “Neural network control of Quad rotor UAV formations”, Proc. of

the American Controls Conference, pp. 2990-2996, June 2009.

78. B. Thumati and S. Jagannathan, “Neural network control of a class of nonlinear discrete-time

systems with asymptotic stability guarantees”, Proc. of the American Controls Conference, pp. 2934-2939,

June 2009.

79. R. Anguswamy, M. Zawodniok, and S. Jagannathan, “A multi-interface multi-channel routing

protocol for wireless ad hoc networks”, Proceedings of the IEEE Wireless Communications and

Networking Conference, pp. 1-6, April 2009.

80. B. Eslamnour, M. Zawodniok, and S. Jagannathan, “Dynamic channel allocation in wireless

networks using adaptive learning automata”, Proceedings of the IEEE Wireless Communications and

Networking Conference, pp. 1-6, April 2009.

81. B. Thumati and S. Jagannathan, “A model based fault detection and prognostics scheme for

uncertain nonlinear discrete-time systems”, Proc. of the IEEE Conference on Decision and Control, pp.

392-397, Dec 2008.

82. T. Dierks and S. Jagannathan, “Neural network output feedback control of a quad rotor UAV”,

Proc. of the IEEE Conference on Decision and Control, pp. 3633-3639, Dec 2008.

83. S. Mehraeen, S. Jagannathan, and M.L. Crow, “Novel dynamic representation and control of

power networks embedded with FACTS devices”, Proc. of the IEEE Conference on Systems, Man and

Cybernetics, pp. 3171-3176, Oct 2008.

84. B. Thumati and S. Jagannathan, “A model based fault detection scheme for nonlinear

multivariable systems”, Proc. of the IEEE Conf. on Systems, Man and Cyber., pp. 1978-1983, Oct 2008.

85. J.W. Fonda, S. Jagannathan and S. Watkins, “Joint adaptive rate and power control for wireless

networks”, Proc. of the IEEE Conference on Systems, Man and Cybernetics, pp. 3216-3221, Oct 2008.

86. M. Zarghami, M. Crow, S. Jagannathan, Y. Liu, “Damping inter-area oscillations by UPFCs based

on selected global measurements”, IEEE PES General Meeting, pp. 1-6, July 2008.

87. S. Mehraeen, S. Jagannathan, K. Corzine and J. Huang, “Energy harvesting using piezoelectric

materials and high voltage scavenging circuitry”, Proc. of the IEEE ICIT, pp. 1-8, March 2008.

88. J. Fonda, S. Watkins, M. Zawodniok, and S. Jagannathan, “Embedded sensor mote for structural

monitoring”, Proc. of the SPIE, March 2008.

89. J. Fonda, M. Zawodniok, S. Jagannathan, Al Salour, and D. Miller, “Missouri S&T mote-based

demonstration of energy monitoring solution for network enabled manufacturing using wireless sensor

networks (WSN)”, Proc. of the Information Processing in Sensor Networks, pp. 559-560, April 2008.

90. F. Ren, Y.R. Zheng, and Jagannathan Sarangapani, “Incorporating forward error correction codes

into flexray communications”, Proc. of the Sensip, 2008.

91. F. Ren, Y.R. Zheng, M. Zawodniok, and S. Jagannathan, “Effects of electromagnetic interference

on control area network performance, Proc. of the IEEE Region 5 Conference, pp. 199 – 204, April 2007.

92. T. Dierks and S. Jagannathan, “Asymptotic stability of nonholonomic mobile robot formations

using multilayer neural networks”, Proc. of the IEEE Conference on Decision and Control, pp. 1944-1950,

Dec 2007.

93. B. Thumati and S. Jagannathan, “An online approximation-based fault detection framework for

nonlinear discrete-time systems”, Proc. of the IEEE Conference on Decision and Control, pp. 2608-2613,

Dec 2007.

94. Q. Yang and S. Jagannathan, “Online reinforcement learning control of unknown

nonaffine nonlinear discrete time systems”, Proc. of the IEEE Conf. on Decision and Control, pp. 5942-

5947, Dec 2007.

95. D. Mohan, J. Birt, J., C. Saygin, Jagannathan Sarangapani, “Real-time process quality monitoring

using wireless sensor embedded rotary tools for fastening operations,” ASME International Mechanical

Engineering Congress and Exposition, Seattle, Washington, November 10-16, IMECE2007-41647, 2007.

96. Anguswamy, R., Saygin, C., Jagannathan Sarangapani, “In-process detection of fastener grip

length using embedded mobile wireless sensor networks,” ASME International Mechanical Engineering

Congress and Exposition, Seattle, Washington, November 10-16, IMECE2007-41648, 2007.

97. Balaje Thumati, Jeffery Birt, Neha Bassi, and Jag Sarangapani, “A neural network model based

approach to predict seal and impeller failures in centrifugal pumps”, ASME International Mechanical

Engineering Congress and Exposition (IMECE), Seattle, Washington, November 10-16, IMECE2007-

41941, 2007.

98. A. Ramachandran and S. Jagannathan, “Temporal and small-scale compensation using spatial

diversity for signal strength based location determination systems”, Proc. of the IEEE Conference on Local

Computer Networks, pp. 10-17, Oct 2007.

99. A. Ramachandran and S. Jagannathan, “Use of frequency diversity in signal strength based

WLAN location determination systems”, Proc. of the IEEE Conference on Local Computer Networks, pp.

117-124, Oct 2007.

100. Tim Landstra, M. Zawodniok and S. Jagannathan, “Energy efficient hybrid key management

protocols for wireless sensor networks”, Proc. of the IEEE Conference on Local Computer Networks, pp.

1009-1016, Oct 2007.

101. Q. Yang and S. Jagannathan, “Near optimal neural network-based output feedback control of

affine nonlinear discrete-time systems”, Proc. of the IEEE Symposium on Intelligent Control, pp. 578-583,

Oct. 2007.

102. P. Shih and S. Jagannathan, “Reinforcement learning-based output feedback controller for

complex nonlinear discrete-time systems” Proc. of the IEEE Inter. Symposium on Intelligent Control, pp.

407-412, Oct. 2007.

103. T. Dierks and S. Jagannathan, “Control of nonholonomic mobile robot formations using neural

networks”, Proc. of the IEEE Conference on Intelligent Control, pp. 132-137, Oct. 2007.

104. C. Larsen, M. Zawodniok and S. Jagannathan, “Route aware predictive congestion control for

wireless sensor networks”, Proc. of the IEEE Conference on Intelligent Control, pp. 13-18, Oct. 2007.

105. T. Dierks and S. Jagannathan, “Control of robot formations: backstepping kinematics into

dynamics”, Proc. of the IEEE Conference on Control Applications, pp. 94-99, Oct. 2007.

106. Wenxin Liu, S. Jagannathan, G. Venayagamoorthy, D. Wunsch, M. Crow, and D. A. Cartes,

“Neural network based decentralized controls of large scale power systems”, IEEE Multi-Conference on

Systems and Control (in ISIC 2007), pp. 676-681, Oct 2007.

107. Wenxin Liu, S. Jagannathan, G. Venayagamoorthy, D. Wunsch, M. Crow, and D. A. Cartes,

“Comparisons of controllers for power systems”, IEEE Multi-Conference on Systems and Control (in CCA

2007), pp. 922-927, Oct 2007.

108. T. Dierks and S. Jagannathan, “Neural network control of robot formations using RISE feedback

structure”, Proc. of the IEEE International Joint Conference on Neural Networks, pp. 2794-2799, August

2007.

109. P. Shih, J. Vance, B. Kaul, S. Jagannathan, and James A. Drallmeier, “Near optimal output

feedback control of nonlinear discrete-time systems in nonstrict feedback form with application to spark

ignition engines” Proc. of the IEEE International Joint Conference on Neural Networks, pp. 396-401,

August 2007.

110. Q. Yang and S. Jagannathan, “Online reinforcement learning neural network controller design for

affine nonlinear discrete-time systems”, Proc. of the American Controls Conference, pp. 4774-4779, July

2007.

111. P. Shih, J. Vance, B. Kaul, S. Jagannathan, and James A. Drallmeier, “Reinforcement learning

based output-feedback control of nonlinear nonstrict feedback discrete-time systems with application to

spark ignition engines” Proc. of the American Controls Conference, pp. 5106-5111, July 2007.

112. C. Saygin and S. Jagannathan, “RFID in manufacturing; the good, the bad and the ugly”, Proc of

the 8th Annual Conference of the Production and Operations Management, Dallas, May 4-7, 2007.

113. Q. Yang and S. Jagannathan, “Online reinforcement learning neural network controller design for

nanomanipulation”, Proc. of the IEEE International Symposium on Approximate Dynamic Programming,

pp. 225-232, April 2007.

114. J. Fonda, M. Zawodniok, J. Birt, and S. Jagannathan, “UMR-based demonstration of wireless

sensor network protocols using pneumatics test bed”, Proc. of the Information Processing in Sensor

Networks, pp. 569-570, April 2007.

115. K. Cha, A. Ramachandran, S. Jagannathan and D. Pommerenke, “Decentralized power control

with hardware implementation for RFID networks”, Proc. of the IEEE Conference on Decision and

Control, pp. 1858-1863, December 2006.

116. M. Zawodniok and S. Jagannathan, “Dynamic programming-based congestion control MAC

protocol for wireless ad hoc networks”, Proc. of the IEEE Conference on Local Computer Networks, pp.

521-524, Nov. 2006.

117. J. Fonda, M. Zawodniok, S. Jagannathan and S. Watkins, “Adaptive distributed fair scheduling

and its implementation in wireless sensor networks”, Proc. of the IEEE International Conference on

Systems, Man, and Cybernetics, pp. 3382-3387, Oct 2006. (Invited)

118. P. He, W. Gao and S. Jagannathan, “Neuro control of nonlinear discrete-time systems with

deadzone and input constraints”, Proc. of the IEEE Conference on Control Applications, pp. 2836-2841,

Oct. 2006.

119. Q. Yang and S. Jagannathan, “Adaptive critic neural network force controller for atomic force

based nanomanipulation, Proc. of the IEEE International Symposium on Intelligent Control, pp. 464-469,

Oct 2006.

120. J. Fonda, M. Zawodniok, S. Jagannathan and S. Watkins, “Development and implementation of

optimal energy delay routing protocol in wireless sensor networks”, Proc. of the IEEE International

Symposium on Intelligent Control, pp. 119-124, Oct 2006. (Invited paper)

121. M. Zawodniok and S. Jagannathan, “Congestion control and routing protocol for wireless sensor

networks”, Proc. of the IEEE Allerton Conference, Sept. 2006. (invited).

122. A. Singh, J. Vance, B. Kaul, S. Jagannathan and J. Drallmeier, “ Neural network control of spark

ignition engines with high EGR levels”, Proc. of the IEEE Conference on Neural Networks, pp. 4978-

4985, July 2006.

123. W. Liu, S. Jagannathan, G. Venayagamoorthy, D. Wunsch and D. Cartes, “Decentralized neural

network based excitation control of large scale power systems”, Proc. of the IEEE Conference on Neural

Networks, pp. 1975-1981, July 2006.

124. H. Wu and S. Jagannathan, “Adaptive neural network control and wireless sensor network-based

localization of UAVs”, Proc. of the IEEE Mediterranean Conf on Control and Autom., pp. 1-6, June 2006.

125. Q. Yang and S. Jagannathan, “Nanomanipulation using atomic force microscope with

drift compensation, Proc. of the American Controls Conference, pp. 1-6, June 2006.

126. J. Vance, P. He, B. Kaul, S. Jagannathan, and James A. Drallmeier, “Neural network-based output

feedback controller for lean operation of spark ignition engines” Proc. of the American Controls

Conference, pp. 1-8, June 2006.

127. K. Cha, A. Ramachandran and S. Jagannathan, “Adaptive and probabilistic power control

algorithms in dense RFID networks”, Proc. of the IEEE Conference on Sensing, Networking, and Control,

pp. 474-479, April 2006.

128. S. Ratnaraj, S. Jagannathan and V. Rao, “OEDSR: Optimal energy delay subnet routing protocol

for wireless sensor networks”, Proc. of the IEEE Conference on Sensing, Networking, and Control, pp.

330-335, April 2006.

129. S. Ratnaraj, S. Jagannathan and V. Rao, “SOS: Self organizing protocol for wireless sensor

networks”, Proc. of the SPIE Conference, Feb 2006.

130. B. McMillin, M. L. Crow, D. Tauritz, F. Liu, B. Chowdhury, and J. Sarangapani, “Improving

Power Transmission Efficiency and Reliability through Hardware/Software Co-Design,” Electricity

Advanced Sensing and Control Conference, Pittsburgh, PA, January 2006. (Invited)

131. Z. Chen and S. Jagannathan, “Near Optimal Control of a class of nonlinear discrete-time systems

using HJB formulation”, Proc. of IEEE Conference on Decision and Control, pp. 4123-4128, Dec 2005.

132. P. He, Z. Chen and S. Jagannathan, “Neural network-based control of nonlinear discrete-time

systems in nonstrict feedback form”, Proc. of IEEE Conf. on Decision and Control, pp. 2580-2585, Dec

2005.

133. E. Taqieddin, S. Jagannathan, and A. Miller, “TLR: Trust level routing protocol for wireless

networks”, Proc. of the Telemetry Conference, pp. 839-848, Nov. 2005.

134. Q. Yang, S. Jagannathan and E. Bohannan, “Block phase correlation-based manipulation for

atomic force microscopes”, Proc. of the IEEE Nano, vol.1, pp. 370-373, July 2005.

135. M. Zawodniok and S. Jagannathan, “Predictive congestion control MAC protocol for wireless

sensor networks”, Proc. of the IEEE International Conference on Control and Automation (ICCA), vol. 1,

pp. 185-190, June 2005.

136. S. Jagannathan, “Decentralized discrete-time neural network controller for a class of nonlinear

systems”, Proc. of the IEEE Symposium on Intelligent Control, pp. 268-273, June 2005.

137. S. Jagannathan and Q. Yang, “A robust controller for the manipulation of micro scale objects”,

Proc. of American Controls Conference, Vol.6, pp. 4154-4159, June 2005.

138. S. Jagannathan, P. He, A. Singh and Drallmeier, “Output feedback control of a class of nonlinear

discrete-time systems using neural networks”, Proc. of the Yale Workshop on Adaptive Systems, May

2005.

139. Niranjan Regatte and S. Jagannathan, “Optimized energy delay routing for wireless ad hoc

networks”, Proc. of the Word Wireless Congress, May 2005.

140. M. Zawodniok and S. Jagannathan, “Energy efficient rate adaptation MAC Protocol for ad hoc

wireless networks”, Proc. IEEE International Performance Computing and Communications Conference

(IPCCC), pp. 389-394, March 2005.

141. K. Chakravarty, C. Daw, R.M. Wagner, B.C. Kaul. J. A. Drallmeier, and Jagannathan

Sarangapani, “Modeling nonlinear dynamics in a spark ignition engine with a two-zone thermodynamic

model”, Proceedings of the Combustion Institute, Spring 2005.

142. W. Liu, S. Jagannathan, D. Wunsch and M. L. Crow, “Decentralized neural network control of a

class of large-scale systems with unknown interconnections”, Proc. of the IEEE Conference on Decision

and Control, vol. 5, pp. 4972-4977, Dec 2004.

143. W. Liu, S. Jagannathan, G.K. Venayagamoorthy, and D.C. Wunsch II, "Feedback linearization

based power system stabilizer design with control limits", Proceedings of The 36th North American Power

Symposium, August 9-10, 2004, Moscow, Idaho, USA.

144. P. He, H. Bui, S. Jagannathan, B. Kaul and J. Drallmeier, “Neuro emission controller for

minimizing cyclic dispersion in spark ignition engines with high EGR levels”, Proc. of ANNIE, Vol. 14,

pp. 421-426, Nov. 2004. (won third place in the best paper award category)

145. V. Janardhan, P. He and S. Jagannathan, “Neural network controller for the manipulation of micro

scale objects”, Proc. of the IEEE Symposium on Intelligent Control, pp. 55-60, September 2004.

146. W. Liu, S. Jagannathan, G.K. Venayagamoorthy, D. Wunsch and M. Crow, “Neural Network

Stabilizing Control of Single Machine Power System with Control Limits”, Proc. of the IEEE International

Joint Conference on Neural Networks, pp. 1823-1828, July 2004.

147. N. Regatte and S. Jagannathan, “A new fair scheduling MAC protocol for wireless sensor

networks”, Sensor-Actuator Networks, International Conference on Embedded Systems and Applications,

June 2004.

148. N. Regatte and S. Jagannathan, “Adaptive and distributed fair scheduling scheme for wireless

adhoc networks”, Proc. of the Word Wireless Congress, pp. 101-106, May 2004.

149. Sarat Dontula and S. Jagannathan, “Active link protection with distributed power control of

wireless networks”, Proc. of the World Wireless Congress, pp. 612-617, May 2004.

150. M. Zawodniok and S. Jagannathan, “A distributed power control MAC protocol for wireless

adhoc networks”, Proc. of the IEEE Wireless Communications and Networking Conference, vol. 3, pp.

1915-1920, March 2004.

151. S. Jagannathan, M. Zawodniok, and Q. Shang, “Distributed power control of wireless cellular

networks in the presence of channel uncertainties”, IEEE INFOCOM, vol.2, 1055-1066, March 2004.

152. S. Jagannathan and Hameed Mohammed, “Adaptive force-balancing control of MEMS gyroscope

with actuator limits”, Proc. of American Controls Conference, vol.2, pp. 1862-1867, 2004.

153. Pingan He and S. Jagannathan, “Discrete-time neural network output feedback control of

nonlinear systems in nonstrict feedback form”, Proc. of the American Controls Conference, vol.3, pp,

2439-2444, 2004.

154. Pingan He and S. Jagannathan, “Reinforcement-learning based output feedback control of

nonlinear systems with input constraints”, Proc. of the American Controls Conference, vol. 3, pp. 2563-

2568, 2004.

155. Pingan He and S. Jagannathan, “Adaptive critic neural network-based controller for nonlinear

systems with input constraints”, Proc. of the IEEE Conference on Decision and Control, vol. 6, pp. 5709-

5714, 2003.

156. Pingan He and S. Jagannathan, “Discrete-time neural network control of a class of nonlinear

systems in nonstrict feedback form”, Proc. of the IEEE Conference on Decision and Control, vol. 6, pp.

5703-5708, 2003.

157. S. Subramanya, S. Jagannathan, and Mingsheng Peng, “End to end rate-based congestion control

of multi-media traffic in packet switched networks”, Proc. of the IEEE Conference on Multimedia and

Expo, vol.3, pp. 357-360, Aug. 2003.

158. S. Subramanya, Mingsheng Peng and J. Sarangapani, “Rate-based end to end congestion control

of packet switched networks”, Proc. of the IEEE Conference on Infor. Technology, pp. 342-346, July 2003.

159. Pingan He and S. Jagannathan, “Lean combustion stability of spark ignition engines using

backstepping scheme”, Proc of the IEEE Conference on Controls Applications, vol.1, pp. 167-172, 2003.

160. Ping an He and S. Jagannathan, “Neuro emission controller for minimzing cyclic dispersion in

spark ignition engines”, Proc of the IEEE Joint Conference on Neural Networks, vol. 2, pp. 1535-1540,

2003.

161. Ping an He, S. Jagannathan and S. Balakrishnan, “Adaptive critic-based neural network controller

for nonlinear systems with unknown deadzones”, Proc of the IEEE Conference on Decision and Control,

vol.1, pp. 955-960, Dec 2002.

162. S. Jagannathan, “A system theoretic approach to the design of admission controller for high-speed

networks”, Proc of the IEEE Conference on Decision and Control, vol.4, pp. 3638-3643, Dec 2002.

163. S. Jagannathan, A. Chronopoulos, and S. Ponipireddy, “Distributed power control in wireless

communication systems”, Proc of the IEEE International Conference on Computer Communications and

Networks, pp. 493-496, Nov. 02.

164. S. Jagannathan, “A hybrid system theoretic approach for admission control design in multimedia

networks”, Proc of the IEEE International Conference on Local Computer Networks, pp. 150-159, Nov

2002.

165. S. Jagannathan, “End to end congestion control of multicast high-speed networks”, Proc of the

IEEE International Conference on Local Computer Networks”, pp. 547-556, Nov 2002.

166. S. Jagannathan, A. Tohmaz, A. Chronopoulos, and H.G. Cheung, “Adaptive admission control of

multimedia traffic in high-speed networks”, Proc. of the IEEE Symposium on Intelligent Control, pp. 728-

733, Oct 2002.

167. S. Jagannathan, “Adaptive critic neural network-based controller for nonlinear systems”, Proc. of

the IEEE Symposium on Intelligent Control, pp. 303-308, Oct 2002.

168. S. Jagannathan, “End to end congestion control of packet switched networks”, Proc. of the IEEE

Conference on Control Applications”, vol. 1, pp. 519-524, Sept. 2002.

169. S. Jagannathan, “Admission controller design for high-speed networks: A hybrid systems

approach”, Proc. of the IEEE Conference on Control Applications”, vol. 1, pp. 542-546, Sept. 2002.

170. A. Chronopoulos, S. Ponipireddy, and S. Jagannathan, “Constructing energy efficient broadcast

trees in wireless adhoc networks”, Proc of the International Symposium on Parallel and Distributed

Computing, Romania, pp. 205-213, July 2002.

171. A. Chronopoulos and S. Jagannathan, “A distributed discrete-time neural network architecture for

pattern allocation and control”, Proc. of IEEE Symposium on Parallel and Distributed Systems (IPADS),

Workshop on Bio-Inspired Solutions to Parallel Processing Problems (BioSP3), April 15-19, pp. 204-211,

2002.

172. G. Galan and S. Jagannathan, “Adaptive critic-based object grasping controller for a three-

fingered gripper”, Proc of the IEEE Conference on Decision and Control, vol.4, pp. 3140-3145, Dec. 2001.

173. S. Jagannathan A. Tohmaz, “congestion control of ATM networks using a Learning

Methodology”, Proc. of the IEEE Conference on Control Applications, pp. 135-140, September 2001.

174. S. Jagannathan, Annie Levesque and Yesh Singh, “Approximation-based control and avoidance of

a mobile base with an onboard arm for MARS greenhouse operation”, Proc of the IEEE Symposium on

Intelligent Control, pp. 103-108, September 2001.

175. G. Galan and S. Jagannathan, “Adaptive critic-based object contact controller for a three-fingered

gripper”, Proc of the IEEE Symposium on Intelligent Control, pp. 109-114, September 2001.

176. S. Jagannathan and J. Talluri, “Congestion control of ATM networks using a multilayered

approach: multiple sources/single buffer scenario”, Proc of American Controls Conference, vol.5, pp. 3789-

3794, June 2001.

177. S. Jagannathan, Annie Levesque and Yesh Singh, "Adaptive network control of a mobile base

with an arm", Proc of the American Controls Conference, pp. 606-611, 2001.

178. S. Jagannathan, “Control of a multiple link robot arm at very high speeds for an industrial

application”, Proc. of the American Controls Conference, vol. 2, pp. 793-798, June 2001.

179. S. Jagannathan, G. Galan and F. L. Lewis, “Control of autonomous underwater vehicles using

neural network Approach”, Proc of the IFAC Symposium on System Structure and Control, August 2001.

180. S. Jagannathan and J. Talluri, “Predictive congestion control of ATM networks: multiple

sources/single buffer scenario”, Proc of IEEE Conference on Decision and Control, vol.1, pp. 47-52, Dec.

2000.

181. S. Jagannathan and J. Talluri, “Traffic Rate Control of ATM Networks Using Neural Network

Approach: Single Source/Single Buffer Scenario”, Proc of the IEEE Symposium on Intelligent Control, pp.

315-320, July 2000.

182. S. Jagannathan and J. Talluri, “Adaptive traffic rate control of ATM networks”, Proc of the

American Control Conference, vol.3, pp.1577-1581, June 2000.

183. S. Jagannathan and G.V.S. Raju, “Remaining useful life prediction of automotive engine oils

using MEMS technologies”, Proc. of the American Controls Conference, vol.5, pp.3511-3512, June 2000.

184. S. Jagannathan and A.C. Rogers, "Coordinated motion control of a mobile base with an arm", Proc

of the ASCE Conference, Space and Robotics 2000, pp. 270-276, March 2000.

185. S. Jagannathan, “Robust backstepping control of a robotic systems using neural networks”,

Proceedings of the IEEE Conference on Decision and Control, vol.1, pp. 943-948, Dec. 98.

186. S. Jagannathan, “Robust backstepping control of nonlinear systems using multilayered neural

networks”, Proceedings of the IEEE Conference on Decision and Control, vol.1, pp.480-485, Dec. 97.

187. S. Jagannathan and F. L. Lewis, “Multilayer neural network control of a class of nonlinear

systems”, Proceedings of the IEEE International Conference on Intelligent Control, pp. 181-186, July 97.

188. S. Commuri and S. Jagannathan, “Modular controls design for robot manipulators using CMAC

neural networks”, Proceedings of the IEEE Conference on Robotics and Automation, vol. 3, pp. 1725-

1730, April 1997.

189. S. Jagannathan, “Adaptive control of unknown feedback linearizable nonlinear systems”,

Proceedings of the IEEE Conference on Decision and Control, pp. 4747-4752, Dec. 96.

190. S. Jagannathan, S. Commuri and F. L. Lewis, “Feedback linearization using CMAC neural

networks”, Proceedings of the IEEE Conference on Decision and Control, pp.3304-3309, Dec. 96.

191. S. Jagannathan, "Discrete-time fuzzy logic control of a mobile robot with an onboard

manipulator", Proceedings of the IEEE Conference on Decision and Control, pp. 1135-1140, Dec. 96.

192. S. Jagannathan, F. L. Lewis, M. Vandegrift, and S. Commuri, “Feedback linearization of nonlinear

systems using fuzzy logic systems”, Proceedings of the ISAI/IFIS, pp. 385-392, Nov. 96.

193. S. Jagannathan, "Adaptive fuzzy logic control of a feedback linearizable discrete-time nonlinear

systems ", Proceedings of the IEEE International Conf. on Intelligent Control, pp. 133-138, Sept. 96.

194. S. Jagannathan, "Discrete-Time CMAC NN control of a feedback linearizable nonlinear systems

under a persistence of excitation", Proceedings of the IEEE International Conf. on Intelligent Control, pp.

462-467, Sept. 96.

195. S. Jagannathan, "Adaptive discrete-time fuzzy logic control of a feedback linearizable nonlinear

systems", Proceedings of the IEEE International Conf. on Fuzzy Systems, pp. 1273-1278, Sept. 96.

196. S. Jagannathan, "Adaptive control of feedback linearizable discrete-time nonlinear systems using

neural networks under a persistence of excitation", Proceedings of the IEEE Mediterranean Symposium on

New Directions, pp. 35-40, Jun. 96.

197. S. Jagannathan, "Discrete-Time fuzzy logic control of a mobile robot with an onboard

manipulator", Proceedings of the IEEE Mediterranean Symposium on New Directions, pp.451-456, Jun.

96.

198. S. Jagannathan, "Discrete-time adaptive control of feedback linearizable nonlinear systems using

neural networks", Proceedings of the IEEE Conf. on Neural Networks, vol.4, pp. 1704-1709, Jun. 96.

199. S. Jagannathan and F. L.Lewis, "Discrete-time adaptive fuzzy logic control of robotic systems",

Proceedings of the IEEE Conf. on Robotics and Automation, vol.3, pp.2586-2591, April 96.

200. S. Jagannathan, "Adaptive control of unknown feedback linearizable systems in discrete-time

using neural networks", Proc. of the IEEE Conf. on Robotics and Automation, vol.1, pp. 258-263, April 96.

201. S. Commuri, F. L. Lewis and S. Jagannathan, “Discrete-time CMAC neural networks for Control

Applications”, Proceedings of the IEEE Conference on Decision and Control, pp. 2420-2426, Dec. 1995.

202. S. Jagannathan, "Robust modified implicit self tuning regulator/MRAC convergence and

stability", Proceedings of the IEEE Conference on Systems, Man and Cybernetics, vol.3, pp. 2171-2175,

Oct. 95.

203. S. Jagannathan and F. L. Lewis, "Multilayer neural net controller for a class of nonlinear

dynamical systems", Proceedings of the IEEE International Symposium on Intelligent Control, pp. 427-

432, Aug. 95.

204. S. Jagannathan and F. L. Lewis, "Robust implicit self tuning regulator/MRAC convergence and

stability", Proceedings of the IEEE International Symposium on Intelligent Control, pp. 42-46, Aug. 95.

205. S. Jagannathan and P.S. Shiakolas, "A comparison of neural network controllers for a mobile base

with an onboard manipulator using neural networks", Proceedings of the IEEE International Symposium on

Intelligent Control, vol. 1, pp. 405-410, Aug. 95.

206. M. Vandergrift, F. L. Lewis, S. Jagannathan, and K. Liu, "Adaptive fuzzy logic control of

discrete-time dynamical systems", Proceedings of the IEEE International Symposium on Intelligent

Control, pp. 395-401, Aug. 95.

207. P. Shiakolas and S. Jagannathan, "Control of a mobile robot with an onboard arm using neural

networks", Proceedings of the IEEE Mediterranean Symposium on New Directions and Automation, pp.

315-323, June 95.

208. S. Jagannathan and F. L. Lewis, "Identification of nonlinear dynamical systems using multilayer

neural networks", Proceedings of the IEEE International Symposium on Intelligent Control, pp. 345-351,

Aug. 94.

209. A. Yesilderek, S. Jagannathan, and F. L. Lewis, "Continuous and discrete-time neural controllers",

Proceedings of the IEEE Mediterranean Symposium on New Directions and Automation, Crete, pp. 9-16,

June 94.

210. S. Jagannathan and M. Evans, "Intelligent control of flexible autonomous robots Part I:

architectural considerations", Proceedings of the IEEE Conf. on Neural Networks, vol.5, pp. 2837-2841,

June 94.

211. S. Jagannathan, "Intelligent control of flexible autonomous robots Part II: implementation",

Proceedings of the IEEE Conf. on Neural Networks, vol.5, pp. 2831-2836, June 94.

212. S. Jagannathan, F. L. Lewis, and O. C. Pastravanu, "MRAC of nonlinear dynamical systems using

multilayer neural networks", Proceedings of the IEEE Conf. on Neural Networks, vol.7, pp. 4766-4771,

June 94.

213. S. Jagannathan and F. L. Lewis, "Discrete-time neural net controller with guaranteed

performance", Proceedings of the American Control Conference, pp. 3334-3339, May 1994.

214. S. Jagannathan, F. L. Lewis and K. Liu, "Modeling, control, and obstacle avoidance of a mobile

robot with an onboard manipulator", Proceedings of the IEEE Symposium on Intelligent Control, vol. 1, pp.

196-201, Aug. 93.

215. F. L.Lewis, H-Huang, and S. Jagannathan, "A systematic approach to discrete-event controller

design for manufacturing applications control", Proceedings of the American Control Conference, vol.2,

pp. 1525-1531, June 1993.

216. S. Jagannathan, S. Balakrishnan and N. Popplewell, "Visual inspection of wave soldered joints

using neural networks", Proceedings of the IEEE-IJCNN Conference on Neural Networks, vol.1, pp.7-12,

Dec. 91.

217. S. Jagannathan, S. Balakrishnan and N. Popplewell, "Sampling and loop delay intervals for digital

control", Proceedings of the ISMM Conference on Mini and Microcomputers, vol.2, pp.114-117, Dec. 91.

218. S. Jagannathan, N. Popplewell and S. Balakrishnan, "Digital control of a CNC milling machine",

Proceedings of the ISMM Conference on Mini and Microcomputers, vol.2, pp.118-121, Dec. 91.

219. S. Jagannathan, S. Balakrishnan and N. Popplewell, "Task level language for robot arm control",

Proceedings of the modeling and simulation conference, vol.3, pp.995-1001, May 91.

220. K. Udayakumar, S. Jagannathan, D. Shankar and E. Vadivelu, "Magnetic levitation and

propulsion", Proceedings of the International Conference on Railway Electrification, New Delhi, Vol.1, pp.

221-223, Oct. 85.

Summary: 9 conference papers/year.

PRESENTATIONS ONLY

1. Soylemezoglu, A., J. Birt, Sarangapani, J, D. Trimble and C. Rouse, “Auto-ID Technologies and

Solutions for Aerospace Manufacturing,” AEROMAT’05, Orlando , Florida , June 6-9, 2005.

2. K. Cha, Soylemezoglu, A., J. Birt, M. Zawodniok, J. Fonda, E. Taqieddin, E. M. Millis-Harris, Saygin,

and J. Sarangapani, “A Testbed for Validation and Benchmarking of Auto-ID Solutions,”

AEROMAT’05, Orlando, Florida, June 6-9, 2005.

3. C. Saygin and J. Sarangapani, “Auto-ID Technologies Research Group at the University of Missouri-

Rolla”, US Air Force Depot Maintenance Transformation (DMT) Automatic Identification Technology

(AIT) Workshop, Sept. 12-15, Ogden, Utah, 2005.

4. J. Sarangapani and C. Saygin, “Monitoring, Diagnostics, and Prognostics Research at the University of

Missouri-Rolla,” 9th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance

Systems (NSF I/UCRC) Center, May 2005, Ann Arbor, Michigan.

5. J. Sarangapani and C. Saygin, “Monitoring, Diagnostics, and Prognostics Research at the University of

Missouri-Rolla ,” 8th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance

Systems (NSF I/UCRC) Center, Nov 1-2, 2004 , Milwaukee , Wisconsin.

6. S. Jagannathan, “Energy Efficient Protocols for Wireless Networks”, Indian Institute of Technology,

Dept. of Computer Science, Chennai, June 2004.

7. J. Sarangapani, “Monitoring, Diagnostics, and Prognostics Research at the University of Missouri-Rolla

,” 9th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance Systems (NSF

I/UCRC) Center, May 2004, Ann Arbor , Michigan.

8. J. Sarangapani, “Monitoring, Diagnostics, and Prognostics Research at the University of Missouri-Rolla

,” 8th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance Systems (NSF

I/UCRC) Center, Nov 2003 , Milwaukee , Wisconsin.

9. S. Jagannathan and J. Drallmeier, “Neuro Emission Controller for Spark Ignition Engines”, Sandia

National Laboratories, June 2004.

10. S. Jagannathan and G.V.S Raju, “Integration of Microsensor Arrays”, Tex MEMS, August. 99.

(invited).

11. S. Jagannathan, "Computers and society", National Seminar, Feb. 1983.

12. S. Jagannathan and M. Arif, "Digital techniques in nuclear instrumentation", IEEE Student Chapter,

Madras, pp. 1-7, April 85.

SHORT COURSES

1. “Embedded Computer Systems”, Offered at IEEE MOCON March 2004

2. “Wireless Networking”, Offered at IEEE MOCON March 2004. (With Dr. Subramanya)

3. “Embedded Computer Systems for Control”, Offered at IEEE ISIC Symposium on Intelligent

Control, Oct 2003.

PATENTS AWARDED

1. Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, “Decentralized Radio Frequency

Identification System”, US Patent No. 8143996B2, March 27, 2012.

2. S. Mehraeen and J. Sarangapani, “System and method for harvesting energy from environmental

energy”, US Patent 8,129,887B2, March 6, 2012.

3. Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, “Adaptive Inventory Management

System”, US Patent No. 7752089B2, July 2010.

4. S. Jagannathan and S.K. Rangarajan, “A Method to Predict Severity of a Trend toward an Impending

Machine Failure and Responding to the Same”, US Patent No. 6,442,511, August 2002.

5. S.R. Rangarajan, and S. Jagannathan, “Method and Apparatus for Predicting a Fault Condition using

Nonlinear Curve Fitting Techniques”, US Patent No. 6,363,332, March 26, 2002.

6. S. Jagannathan, “Apparatus and Method for Diagnosing an Engine Using Computer-Based Models in

Combination with a Neural Network”, US Patent No. 6,240,343, May 29, 2001.

7. S. Jagannathan, “A Method for Determining a Desired Response to Detection of an Obstacle”, US

Patent No 6,173,215, January 2001.

8. S. Jagannathan, “Energy-Based Approach for Obstacle Avoidance”, US Patent No. 6,134,502, Oct. 17,

2000.

9. S. Jagannathan, “Method and Apparatus of Predicting a Fault Condition”, US Patent No. 6,119,074,

Sept. 12, 2000.

10. S. Jagannathan and D.R. Schricker, “Apparatus and Method for Diagnosing an Engine Using an

Exhaust Temperature Model “, US Patent No. 6,092,016, July 18, 2000.

11. S. Jagannathan and C. A. Kemner, “Method and Apparatus for Determining an Alternate path in

Response to Detection of An Obstacle”, US Patent No. 60,64,926, May 16, 2000.

12. S. Jagannathan and F.L.Lewis, "Discrete-Time Neural Network Tuning of a Class of Nonlinear

Dynamical Systems", The Univ. of Texas, US Patent No. 6,064,997, May 16, 2000.

13. S. Jagannathan, “Method and Apparatus for Detecting Obstacles Using Multiple Sensors for Range

Selective Detection“, US Patent No. 6,055,042, April 25, 2000.

14. S. Jagannathan, “Method for Determining the Condition of Engine Oil based on TBN Modeling”, US

Patent 5,987,976, November 23, 1999.

15. S. Jagannathan and D. R. Schricker, "Method and Apparatus for Predicting a Fault Condition",

Caterpillar Inc., US Patent No. 5,950,147, September 7, 99.

16. C. Kemner, C. Khoerson, and S.Jagannathan, “System and Method for Managing a Fleet of Mobile

Machines for Dumping at a Plurality of Dump Points”, US Patent No. 5,931,875, August 3, 99.

17. S. Jagannathan et al., “Automated Systems—Automated Loader System”, Defensive Publication,

Research Disclosure Technology Journal, Pub. No. 42368, July 99.

18. S. Jagannathan, D. R. Schricker, and Trent Simpson, “Method for Determining the Condition of Engine

Oil based on Soot Modeling”, US Patent No. 5,914,890, June 22, 1999.

19. S. Jagannathan, “Method and Apparatus for Determining a Path for a Machine between a Predetermined

Route and a Final Position”, US Patent No. 5,752,207, May 12, 98.

20. D.R. Schricker, S. Jagannathan, D. G. Young, Satish M. Shetty, "Method and Apparatus for Comparing

Machines in Fleet", US Patent No. 5,737,215, April 7, 98.

Summary: 1.1 patents/year for the past 16 years

PATENT/PROVISIONAL PATENT FILED

1) K. Cha, M. Zawodniok, A. Ramachandran, S. Jagannathan and C. Saygin, “Decentralized Radio

Frequency Identification System”, Patent Filed, Nov 2007.

2) M. Thiagarajan, M. Zawodniok, S. Jagannathan, “RFID-based Adaptive Inventory Management

System”, Provisional patent application filed in Dec 2007.

INVENTION DISCLOSURES

1) S. Jagannathan, K. Cha, A. Ramachandran, and C. Saygin, “Read Rate and Coverage Improvement

Through Reader Power Control”, Invention Disclosure, January 2006. (patent being filed)

2) S. Jagannathan, S. Ratnaraj, J. Fonda and M. Zawodniok, “Optimal Energy Delay Routing Protocol for

Wireless Sensor Networks”, Invention Disclosure, May 2006.

3) S. Jagannathan, N. Regatte, and M. Zawodniok, “Adaptive and Distributed Fair Scheduling Schemes for

Wireless Sensor Networks”, Invention Disclosure, May 2006.

4) S. Jagannathan and J. Drallmeier, “Neural Network Control of Spark Ignition Engines Operating Lean”,

Invention Disclosure, May 2006.

5) S. Jagannathan and J. Drallmeier, “Neural Network Control of Spark Ignition Engines with High EGR

Levels”, Invention Disclosure, May 2006.

6)S. Jagannathan, “Adaptive HE Implement Control”, Invention Disclosure, November 1998.

7) S. Jagannathan, “On-line HE Learning Control”, Invention Disclosure, November 1998.

8) S. Jagannathan, “A Method to Predict Confidence”, Invention Disclosure, December 1998.

9) S. Jagannathan, F. Lombardi, and C. Ramamoorthy, “A System and Method to Control ON/OFF Valves

and Associated Implement Circuits”, Invention Disclosure, January 1999.

Past Graduate Students

Doctoral Students

1. Pingan He*, “Neural network control of a class of discrete-time nonlinear systems with

application to engine emission control”, December 2004. (GM Power Train, Michigan)

2. Maciej Zawodniok, “Power sensitive algorithms and protocols for wireless ad hoc and sensor

networks”, December 2005. (Assistant Professor, Dept. of Computer Engg, Missouri University of

Science and Technology, Rolla, USA)

3. Jianjun Guo, “Decentralized control and placement of multiple FACTS devices”, co-advisor,

September 2006. (Los Angeles)

4. Eyad Taqeiddin, “Trust level energy efficient routing protocols for wireless ad hoc networks”,

May 2007, co-advisor, (Assistant Professor, Department of Computer Science and Information

Technology, Jordon University of Science and Technology).

5. Qinmin Yang, “Advanced control design of nonlinear dynamical systems using neural networks”,

August 2007. (University of Connecticut and Zhejiang University, China)

6. J. Vance, “Neural network control of nonstrict feedback and nonaffine nonlinear discrete-time

systems with application to engine control”, Sept. 2007. (Advanced Computing and Information

Technology Group, Boeing, Advanced Technologist)

7. James W. Fonda, “Energy efficient wireless sensor network protocols for monitoring and

prognostics of large scale systems”, January 2008. (Advanced Computing and Information

Technology Group, Boeing as an Advanced Technologist).

8. Travis Dierks, “Formation control of mobile robots and UAVs”, August 2009. (DRS

Technologies, St. Louis)

9. Carl Larsen, “Quality of service provisioning through resource allocation and data aggregation in

wireless sensor networks”, August 2009. (Patent Examiner, United States Patents and Trademarks

Office)

10. Shahab Mehraeen, “Decentralized adaptive neural network control of nonlinear dynamic systems

with application to power systems”, Nov. 2009. (Assistant Professor, Louisiana State University,

Baton Rouge; NSF Career Awardee)

11. Balaje Thumati, “Incipient fault prognostics and accommodation for nonlinear discrete-time

systems”, Nov 2009. (Boeing, Seattle)

12. Ahmet Soylemezoglu, “Sensor-based decision making”, Mar. 2010. USACE ERDC-CERL

(United States Army Corps of Engineers - Engineer Research and Development Center -

Construction Engineering Research Laboratory, Urbana Champaign, IL).

13. Behdis Eslamnour, “Adaptive resource allocation for cognitive wireless ad hoc and hybrid

networks”, October 2010. (Faculty in Iran)

14. Rana Basheer, “Real-time localization system by using received signal strength indicator”, April.

2012. (Broadcom, Irvine, CA).

15. Hao Xu, “Stochastic controller and communication protocol design for the networked control

system”, May 2012. (Assistant Professor, University of Tennessee at Martin).

16. Hassan Zargarzadeh, “Optimal adaptive control of a class of nonlinear continuous and discrete-

time systems”, August 2012 (Assistant Professor/Instructor, Southern Illinois University,

Carbondale).

17. Hasan Ferdowsi, “Model based diagnosis and prognosis of nonlinear systems”, October 2013.

(Postdoc Missouri S&T)

18. Qiming Zhao, “Finite horizon optimal control of a class of linear and nonlinear systems”, October

2013.

Additional Advisor/Committee Member for Doctoral Students:

1. Wenxin Liu, “Power system stabilizing control using neural networks”, May 2005. Additional

advisor (Assistant Professor, New Mexico State University, Las Cruses)

Master Students

1. J. Talluri, “Adaptive traffic management in ATM Networks”, Dec 2000. (Software company

Austin)

2. A. Tohmaz, “Adaptive bandwidth estimation and control in ATM Networks”, May 2001.

(Beckwith Electronic Engineering Company, San Antonio)

3. G. Galan, “Neural network control of a class of nonlinear systems”, August 2001. (Software

Engineer Lead in San Antonio)

4. A. Levesque, “Neural Network-based robot control”, August 2001. Grubber Engineering San

Antonio, Texas.

5. Satish Ponipireddy, “Distributed power control of wireless networks”, August 2002. (co-advisor)

(SBC Communications)

6. M. Peng, “End to end congestion control of the INTERNET”, December 2002. co-advisor

(working as a software engineer, California)

7. S. Dontula, “Power sensitive algorithms and protocols for wireless cellular and adhoc networks”,

May 2003. (Software Engineer, Florida)

8. M. Hameed, “Adaptive force balancing control of MEMS gyroscope”, May 2003. (Student State

University of New York, Bio Engineering using MEMS sensors)

9. N. Regatte, “Distributed fair scheduling for wireless ad hoc and sensor networks”, May 2004.

(Design Engineer)

10. V. Janardhan, “Control of a class of nonlinear systems”, Sept. 2005. (Embedded Systems

Engineer, Peoria, IL)

11. Jonathan Vance, “Embedded networked system controller for spark ignition control”, November

2005. (Boeing St. Louis)

12. Sibala Ratnaraj, “Self organizing and optimal energy subnet routing protocol for wireless

networks”, December 2005. (Boeing, CA)

13. Kainan Cha, “Adaptive and probabilistic power control schemes for RFID networks”, April 2006.

(Garmin, Kansas City)

14. Tim Landstra, “Hybrid key management and secure routing protocols for wireless sensor

networks”, May 2006. (Sandia National Labs)

15. Anil Ramachandran, “Improving accuracy in RTLS Systems”, November 2006. (Sprint, Kansas

City and now at Emerson, St. Louis)

16. Peter Shih, “Reinforcement learning-based NN control of complex nonlinear discrete-time

systems with application to engine control”, November 2006. (Software Engineer, Hugh Res. Lab)

17. Deepak Mohan, “Real-time grip length detection of rotary tools: A Mahalanobis Taguchi

Strategy”, May 2007, Co-advisor. (Software Engineer at Intel; Now at Garmin, Kansas City)

18. Travis Dierks, “Nonlinear control of nonholonomic mobile robot formations”, June 2007.

(Doctoral student at Missouri S&T and DRS Technologies, St. Louis)

19. Amit Shah, “Terahetrz data processing for standoff detection of improvised explosive devices”,

August 2007. Co-advisor (Florida Engineer)

20. Phani Gajjala, “Energy efficient processor operation and vibration-based energy harvesting

schemes for wireless sensor nodes”, August 2007. (Dallas Engineer)

21. Reghu Anguswamy, “Wireless sensor network-based prognostic schemes for pull-type tool”, May

2008. (Doctoral student at Virginia Tech in Dept of ECE)

22. Hindu Kothapalli, “Localization in wired and wireless networks”, May 2009. (Morgan & Chase,

MD)

23. Gary Halligan, “Fault detection and prediction with application to rotating machinery”, Nov 2009.

(Rockwell Collins, Iowa)

24. Priya Kasirajan, “Data aggregation”, Dec 2009 (with graduation May 2010). (Garmin

International, Kansas City)

25. Jake Hertenstein, “Detection of unintended RF emission and explosive threats by using wireless

sensor-based networks”, Jan 2010. (DRS Technologies, St. Louis)

26. Bryan Brenner, “Embedded implementation of mobile robot formation control”, August 2010.

27. David Nodland, “Neuro-optimal control of unmanned air vehicle”, Oct 2011 (Caterpillar, Peoria,

IL).

28. Deepthi Raja, “Decentralized diagnostics and prognostics of discrete-time systems”, May 2012.

29. R. Kraleti, “Diagnostics and prognostics of a class of industrial systems”, May 2012. (Co-advisor)

Current Graduate Students (All Ph.D.) (expected)

1. Avimanyu Sahoo, “Event-triggered neural network control of a class of linear and nonlinear

systems”, August 2014.

2. Nurbanu Akyuz, “Localization and tracking of unintended emitting devices”, December 2014.

3. Haci Guzey, “Formation control of unmanned aerial vehicles”, May 2015.

4. Haifeng Niu, “RFID-based passive networks”, December 2015.

5. Jia Cai, “Fault detection and isolation in distributed parameter systems”, May 2016.

6. Behzad Talaei, “Adaptive optimal control of PDE systems”, May 2016.

Current M.S: None

Undergraduate Students:

1. Van Hai Bui, “Neural network control of spark ignition engines with high levels of EGR”,

(Summer 03, Fall 04, Spring 04). Supported by NSF 0327877 grant.

2. Robert Stewart, “Spark ignition engine modeling with high EGR”, Summer 03. NSF #0327877.

3. Jamie McChesney, “Autonomous navigation of a mobile base with an onboard arm for MARS

greenhouse operation (Fall 00, Spring 01) Supported by NASA/TSGC grant.

4. Juan Portillo, “Obstacle avoidance of a mobile base with an onboard arm”, (Fall 00, Spring 01).

Supported by NASA/TSGC.

5. Adam Wolf, “Interfacing the real world-robots and sensors”, Spring 2001. Supported by Office of

Naval Research through ONR Scholar’s program.

6. Cynthia Green, “Force controller”, Spring 2001. ONR Scholars program

External Examiner to Doctoral Students from Other Institutions:

1. Haung Houglin, “Constrained Control of Robotic Mechanisms”, Ph.D. Dissertation, National

University of Singapore, 2004.

2. Alma Yolanda Alanis Garcia, “Control of Nonlinear Discrete-time Systems with Application to

Induction Motor”, CINVESTAV, Guadalajara, Mexico, Sept. 2007.

3. Several from IITs in India

External Examiner for Tenure Decisions: Several from Singapore, USA and from India

Jag_CV_14 Dito 291251 Sarangapani, Jag

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