FF Asok Ray  
F
  Asok Ray, Ph.D., P.E., Fellows of: IEEE, AAAS, ASME, AAIA, and WIF

University Distinguished Professor of Mechanical Engineering and Mathematics  
Graduate Faculty of Electrical Engineering 
Graduate Faculty of Nuclear Engineering 

The Pennsylvania State University,
329 Reber Building, University Park, PA 16802

Tel: (814) 865-6377; Cell: (814) 206-4737; FAX: (814) 863-4848; 
Email: axr2@psu.edu;   Web address: http://www.mne.psu.edu/Ray/


[Publications]
[Publications]
Vita
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Publications
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Citations of Publications
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Research Laboratories
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Current Research
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Graduate Courses

Undergraduate Dynamic Systems Laboratory

Symbolic Systems Software: Code for On-line Machine Learning
BIOGRAPHY
Asok Ray earned the Ph.D. degree in Mechanical Engineering from Northeastern University, Boston, MA in 1976, and also graduate degrees in each of the disciplines of Electrical Engineering, Mathematics, and Computer Science.   Dr. Ray joined the Pennsylvania State University in July 1985, and is currently a University Distinguished Professor of Mechanical Engineering and Mathematics, a Graduate Faculty of Electrical Engineering, and a Graduate Faculty of Nuclear Engineering.   Prior to joining Penn State, Dr. Ray held research and academic positions at Massachusetts Institute of Technology and Carnegie-Mellon University as well as management and research positions at GTE Strategic Systems Division, Charles Stark Draper Laboratory, and MITRE Corporation.   Dr. Ray is a naturalized citizen of USA since 1976.
Dr. Ray's original work has opened three new areas of multi-disciplinary science & technology, which bear significant importance to the theory and practice of several scientific and engineering disciplines in both defense and commercial sectors.

The first research area is Dr. Ray's most recent contributions to the fields of machine learning, artificial intelligence, instrumentation & control, detection & estimation, and signal processing. This research area has focused on anomaly detection and statistical pattern recognition based on the theories of symbolic dynamics, discrete-event systems, and statistical mechanics, which have found applications in different fields of science and engineering. Specifically, this research has led to the development of new technologies such as those for remote diagnosis and prognosis of air, water, and land platforms for both defense and commercial applications.

From 2001 to 2007, Dr. Ray was the Principal Investigator of a Multidisciplinary University Research Initiative (MURI) grant from the United States Department of Defense (DoD). This MURI grant was awarded to Pennsylvania State University and collaborators (Duke, Carnegie Mellon, and Louisiana Tech) by the Army Research Office (ARO) in the area of Mathematics of Failures to conduct theoretical and experimental research on characterization and mitigation of anomalous behavior in complex dynamical systems. From 2007 to 2014, Dr. Ray was one of the three thrust leaders in another MURI grant from the Army Research Office (ARO) to conduct theoretical and experimental research on dynamic modeling and control of sensor networks. This research project, jointly with researchers from Penn State, Harvard, Duke, and Ohio State, developed fundamental methods for fusing widely different asynchronous signals from heterogeneous sensors for information fusion with applications to urban warfare.

In addition, Dr. Ray was one of the grantees in the DARPA Information Exploitation Office (IXO) program on Command & Control - Mixed Initiative Control of Automa-Teams (MICA). From June 2009 to December 2012, Dr. Ray was the Principal Investigator of a multidisciplinary multi-University research project in the field of Science of Autonomy funded by the Office of Naval Research (ONR), where the research activities focused on: (i) Autonomous Perception & Intelligent Decision-making, and (ii) Scalable & Robust Distributed Collaboration, based on the fundamental principles of Information Theory, Statistical Mechanics, and Automata Theory. Related to these research efforts, Dr. Ray had been one of the grantees in the PLUS-INP Program of the U.S. Navy that dealt with actual undersea operations (e.g., mine countermeasure (MCM) and antisubmarine warfare (ASW)).

These technologies have been transferred to industry through several Small Business Innovative Research (SBIR) and Small Business Technology Transfer (STTR) projects for field applications in several DoD sites (e.g., NAVAIR and NAVSEA) and NASA sites (e.g., NASA Glenn Research Center and NASA Marshall Space Flight Center). Since 2012, Dr. Ray has been a senior research personnel for a five-year multi-disciplinary research program on dynamic data-driven application systems (DDDAS) dealing with automatic target detection and surveillance for border security; this project was funded by the Air Force Office of Scientific Research (AFOSR). The experimental part of this research was supported by an additional defense university research instrumentation program (DURIP) grant. To support these research projects, Dr. Ray and his students & colleagues have established a network-based robotic system laboratory (http://nrsl.mne.psu.edu/) under several consecutive (2002-2019) DURIP grants.

The second research area addresses the field of life extending control of dynamical systems for structural durability, pioneered by Dr. Ray in early 1990's for the NASA Space Shuttle Main Engine and different types of commercial aircraft, which demonstrates the power of Information Science & Technology (IST)-based cross-disciplinary research in decision & control science, computer science, electromechanical science, thermal science, and material science.

This research on life extending control has addressed performance optimization, enhancement of structural durability, and (partially autonomous) self-healing control of aerospace structures and electromechanical systems by modeling the physics of material characteristics under dynamical environments perceived through a network of embedded sensors. Consequently, life extending control (also known as damage mitigating control) is considered essential for safe, reliable and economical operation of aging aircraft by NASA and Air Force, and also for complex electromechanical systems like the Smart Ship by the Navy. From 1987 to 2013, Dr. Ray had been the principal investigator of several NASA research projects in Integrated Vehicle Health Management (IVHM) and Integrated Resilient Aircraft Control (IRAC) for safety enhancement of spacecraft and commercial aircraft. In a research project with NASA Glenn Research Center, Dr. Ray has implemented this concept of anomaly detection in gas turbine engines based on the principles of Symbolic Dynamics and Information Theory. From 2012 to 2015, Dr. Ray also extended the concepts of IVHM and IRAC to military rotorcraft and fixed-wing aircraft under several SBIR and STTR projects of DoD, NASA and DoE. Recently, Dr. Ray had been the principal investigator of a six-year (2015-2021) AFOSR research project on dynamic data-driven application systems (DDDAS) for prediction and control of lean-blow-out and combustion instabilities in aircraft gas turbine engines. This project focused on theoretical and experimental research in machine learning, artificial intelligence, and decision & control.   

The third research area is Dr. Ray's earlier work (1987-1994) on Integrated Communication and Control (ICCS). The role of ICCS is to coordinate and perform inter-related functions ranging from real-time multi-loop control to information monitoring and decision support. In ICCS, a feedback control loop is closed via a common communication channel that multiplexes real-time information from sensor to controller and controller to actuator along with data traffic from other control loops and management functions. This research work is another contribution that has found wide acceptance in the international community. For example, the U.S. Army has pursued this research area through several Multidisciplinary University Research Initiative (MURI) grants in the field of Sensor Networks. This research has addressed the issues of performance degradation and potential instability in the closed loop systems, resulting from time-varying and possibly stochastic delays due to asynchronous time-division multiplexing in the network protocol. These innovative theoretical concepts were experimentally validated first in the laboratory environment and subsequently on various platforms including the MIT nuclear reactor, MITR-II. Following Dr. Ray's original work, Westinghouse Electric developed a signal validation software that is currently used in commercial nuclear reactors.
Mentorship Role: In addition to his contributions as an Engineer/Scientist, Dr. Ray has excelled as an educator and a mentor in his professional career of more than forty years.   Dr. Ray has been consistently working on enhancement of the standard of interdisciplinary graduate education in Mechanical, Electrical, Aerospace, and Nuclear Engineering. Along this line, Dr. Ray introduced several interdisciplinary graduate courses encompassung the fields of Applied Mathematics, Optimization & Control, Signal Processing & Pattern Recognition, Information Theory, and Chaos & nonliear Dynamics. Specifically, Dr. Ray has been a strong advocate for the role of modern mathematics and information sciences in engineering education. Dr. Ray, along with his colleagues, developed the Dynamical systems & Control Laboratory for experimental studies in several senior-level and graduate-level Mechanical Engineering courses in the fields of Modeling, Control & Estimation, Signal Processing, and Robotics.

At Penn State, Dr. Ray has supervised about twenty post-doctoral scholars, sixty one doctoral dissertations, and over one hundred twenty master theses or projects.    His former students are currently holding or have held academic positions in many U.S. and foreign universities, and research positions in organizations like: Argonne National Research Laboratory, Boeing High Technology Center, Bosch North America, General Electric Global Research Center at USA and abroad, General Motors Research Laboratories, Google Reseach Laboratory, IBM Watson Research Center, Idaho National Research Laboratory, Mitsubishi Research Center, Naval Research Laboratory, Oakridge National Research Laboratory, Raytheon Reseach Laboratory, Siemens Research Center, and United Technology Research Center at USA and abroad.


RESEARCH AND SCHOLARSHIP AREAS 

 • Statistical Learning and Machine Intelligence based on Symbolization and Neural Networks;
 • Modeling, Analysis and Control of Continuously-Varying & Discrete-Event Dynamical
      Systems;

 • Fault Diagnosis, Prognosis, and Mitigation in Complex Dynamical Systems
 • Stochastic Processes, Statistical Signal Processing, and Statistical Decision Theory;
 • Real-time Intelligent Decision & Control, and Instrumentation for Robotics & Automation;
 • Analysis and Modeling of Mechanical Behavior and Structural Damage in Engineering
      Materials;

 • Control Systems Analysis & Design for Aircraft & Spacecraft, and Undersea & Surface Ship; 
 • Control Systems Analysis and Design for Fossil & Nuclear Power Plants, and Processing br>       Plants.

PUBLICATIONS RECORD 

More than seven hundred research publications (including over three hundred and thirty-seven scholarly articles in refereed journals and over twenty-five chapters in research monographs) and about sixty technical reports based on sponsored research.

HONORS & AWARDS

        Professional Society Fellowship Awards
 • American Society of Mechanical Engineers (ASME) Fellow Award in 1994 for innovative research
      in Decision & Control and Mechanics of Materials.

 Institute of Electrical and Electronics Engineers (IEEE) Fellow Award in 2002 for innovative
       research in aerospace and electromechanical systems.
 • World Innovation Foundation (WIF) Fellow Award in 2005 for innovative research in
       the arts & sciences of fault diagnosis and failure prognosis in autonomous systems.
 American Association for the Advancement of Science (AAAS) Fellow Award in 2019 for
      innovations in machine learning and real-time control of smart machines and autonomous
      systems and for popularizing their usage.
 Asia-Pacific Artificial Intelligence Association (AAIA) Fellow Award in 2023 for innovations in
       artificial intelligence and machine learning as well as for popularizing their usage.

        Professional Society Performance Awards
  • ASME DSCD Henry M. Paynter Outstanding Investigator Award for fundamental contributions
        to statistical pattern recognition, life extending control of dynamical systems for structural
        durability, and integrated communication & control in the science of autonomy, 2012.

        Government Agency Fellowship Awards
 • Senior Research Fellowship Award, National Academy of Engineering, 1998 -1999, to pursue         advanced research in the interdisciplinary area of life-extending control of spacecraft and
        aircraft structures & propulsion systems. The research specifically focused on decision & control
        with emphasis on damage reduction in structural and propulsion materials, while maintaining
        the specified performance as mandated by the mission requirements.

        Publication Awards
 • Two Rudolf Kalman Best Paper Awards:
    A. Ray, "Stochastic Modeling of Fatigue Crack Damage for Risk Analysis and Remaining Life
        Prediction," Journal of Dynamic Systems, Measurement, and Control -Transactions of the ASME,
        Vol. 121, No. 3, September 1999, pp. 386-393.
    N. Virani, D.K. Jha, Z. Yuan, I. Sekhawat and A. Ray, "Imitation of Demonstrations using Bayesian
        Filtering with Nonparametric Data-Driven Models," Journal of Dynamic Systems, Measurement,
        and Control -Transactions of the ASME, vol. 140, March 2018, pp. 030906 (1 to 9).
 • Most Cited Paper Award, Elsevier Journals
    A. Ray, "Symbolic Dynamic Analysis of Complex Systems for Anomaly Detection,"
       Signal Processing, Vol. 84, No. 7, July 2004, pp. 1115-1130.

 • Best Paper of Track Award
    A. Ray, "A State-Space Model of Fatigue Crack Growth for Real-time Structural Health Monitoring,"
        19th Digital Avionics Systems Conference, Philadelphia, PA, October 2000.

        Academic Performance Awards
 • Outstanding Faculty Award, Penn State Mechanical Engineering Department, 1993
 Outstanding Research Award, Penn State College of Engineering, 1995
 • Premier Research Award, Penn State College of Engineering, 2003
 • University Distinguished Professorship Awards, Penn State, 2003, 2008, 2013, 2018 and 2023

PROFESSIONAL ACTIVITIES

 • Professional Engineer (Electrical Engineer) registered in the Commonwealth of Massachusetts

 • Associate Editor, International Journal of Flexible Manufacturing Systems (1991-2009)
 • Associate Editor, ASME Journal of Dynamic Systems, Measurement, and Control (1992-1996)
 • Associate Editor, IEEE Transactions on Control Systems Technology (2001-2004)
 • Associate Editor, International Journal of Vehicle Autonomous Systems (2004-2017)

 • Area Editor, Fault Tolerant Systems, IEEE Trans. Aerospace and Electronic Systems (2000-2005)

 • Editorial Board Member, Advances in Industrial Control, Springer-Verlag, London (2001-present)
 • Editorial Board Member, International Journal of Control, Taylor & Francis (2011-present)
 • Editorial Board Member, Mechatronic Systems and Control, ACTA Press (2012-present)
 • Editorial Board Member, Machines - An MDPI Journal, Switzerland (2014-present)
 • Editorial Board Member, Sci (ISSN 2413-4135) - An MDPI Journal, Switzerland (2018-present)
 • Editorial Board Member, Probe - Mathematics & Mathematical Sciences, Singapore (2018-present)

INDUSRIAL RESEARCH & MANAGEMENT EXPERIENCE

        GTE Strategic Systems, Westborough, MA
Manager, Computer Network Systems Analysis & Design Department, February 1984 to June 1985
    This management position reported to the Director of the Systems Engineering Division within GTE Strategic Systems.  The major responsibility was to manage a department of eighteen technical personnel (two Ph.D., nine M.S., and 7 B.S.) with an annual budget of over three million dollars.  This department  provided analytical support to other departments within its own and other divisions.  The technical work involved conceptual design & analysis of wide area and local area computer communication network systems for the Department of Defense.  In particular, new network architectures were developed for a large worldwide data  communications network, and a test bed was established for verification, validation, and integration of protocols for both local and wide area networks.  The annual expenditure for internal research efforts in the department was about a million dollars.  In this research project, an expert system was formulated and coded, and was then validated on the test bed for distributed network management and control from a global perspective.

          The Charles Stark Draper Laboratory, Cambridge, MA
   (Concurrent Appointment with Massachusetts Institute of Technology)

Senior Research Scientist, January 1983 to February 1984
Researh Scientist, January 1980 to December 1982
    Major responsibilities were to identify new research areas, lead the efforts in the preparation of research proposals, and provide guidance to other researchers in the fields of control and diagnosis, signal processing, and communication networks.  Served as the Principal Investigator and a key technical contributor for several research projects in the following areas:
        - Failure diagnosis, guidance,  and control of aircraft and spacecraft
        - Development of a network architecture for highly maneuverable tactical arcraft;
        - Conceptual design of intelligent control systems for autonomous undersea vehicles;
        -
Intelligent discrete-event control of telecommunications and manufacturing processes

           The MITRE Corporation, Bedford, MA
Member of Technical Staff, July 1975  to August 1978
    Responsible for research and development in the following areas:
        - Analysis, synthesis, and implementation of aerospace communication and control systems;
        -
Analysis and synthesis of guidance & control strategies for unmanned vehicles;
   
    - Analysis and synthesis of  hierarchically structured control laws for distributed processes;
   
    - Simulation and performance analysis of local area networks

  Stone and Webster Engineering Corporation, Boston, MA
  Control Engineer and Graduate Research Fellow,  July 1972 to July 1975
   Conducted doctoral research in Systems Science under joint supervision of a university faculty and a senior scientist at Stone and Webster.  The research was concentrated in the concptual development of modeling, simulation, and control techniques for both continuously-varying and discrete-event dynamical systems with applications to electric power generation systems and chemical & processing plants.


ACADEMIC EXPERIENCE

   The Pennsylvania State University, University Park, PA
Distinguished Professor of Mechanical Engineering and Mathematics, Jan 2014 to present
Graduate Faculty of Nuclear Engineering, Dec 2013 to present
Distinguished Professor of Mechanical Engineering, Jan 2003 to Dec 2013
Chair, College Committee on Control Eng. Research & Curricula, Sept 1992 to June 2008 Graduate Faculty of Electrical Engineering, Sept 1991 to present
Graduate Faculty in the Inter-College Program in Materials, Sept 1990 to June 2001
Professor of Mechanical Engineering, July 1990 to Dec 2002
Associate Professor of Mechanical Engineering, July 1985 to June 1990

   Massachusetts Institute of Technology, Cambridge, MA
(Concurrent Appointment with The Charles Stark Draper Laboratory)

Visiting Scientist, January 1980 to June 1985

   Northeastern University, Boston, MA
  Part-time Faculty in the Graduate School of Electrical Eng., Sept 1980 to June 1985

   Carnegie-Mellon University, Pittsburgh, PA
  (Tenure-track) Assistant Professor of Mechanical Eng., Sept 1978 to January 1980

   Development & Instruction of New Interdisciplinary Graduate Courses 

 • Foundations of Engineering Systems Analysis;            (jointly listed ME/EE course at Penn State)
 • Nonlinear Control and Stability;                                   (jointly listed ME/EE course at Penn State)
 • Robust Control Systems: Theory and Applications;      (jointly listed ME/EE course at Penn State)
 • Stochastic Systems for Science and Engineering;       (jointly listed ME/Math course at Penn State)
 • Wavelet Theory and Applications;                                (jointly listed ME/Math course at Penn State)

 Thermodynamics, Information, & Chaotic Systems;      (jointly listed ME/Math course at Penn State)

 • Control of Discrete Event and Symbolic Systems;         (jointly listed ME/IE course at Penn State)

 • Computer Networking for Process Control;                    (EE course at Northeastern University)  
 • Abstract Algebra for Computer Engineering;    
              (EE course at Northeastern University)


  Supervision of Doctoral Students/Dissertations at Penn State

         
      1989 Sueng Ho Hong    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Performance Analysis of Token Bus Protocols for Integrated Control system Networks

      1989 Arun Ayyagari    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
A Fiber-Optic-based Protocol for Manufacturing System Networks

      1989 Rogelio Luck    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Observability and Delay compensation of Integrated Communication and Control Systems

      1989 Nitin Nayak    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
An Integrated System for Intelligent Seam Tracking in Robotic Welding

      1990 Luen-Woei Liou    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
A Stochastic Regulator for Integrated Communication and Control Systems

      1990 Suk Lee    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Real-Time Performance Management of Multiple-Access Computer Networks

      1991 Rong-Tarng Yu    Ph.D. in Electrical Engineering with Minor in Mechanical Engineering
            
A Twin-Bus-Controller Protocol for Fiber Optic Communication Networks

      1992 Jenny H. Shen    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Robust Synthesis of Discrete-time Multivariable Control Systems with Induced Delays

      1993 Min-Kuang Wu    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Damage Mitigating Control of Mechanical Systems

      1993 Humberto Garcia    Ph.D. in Electrical Engineering with Minor in Mechanical Engineering
            
A Reconfigurable Hybrid Supervisory Control System

      1994 Chen-Kuo Weng    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Robust Wide-Range Control of Electric Power Plants

      1994 Xiaowen Dai    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Damage Mitigating Control of the Space Shuttle Main Engine

      1995 Olaf Kaufman    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Analysis and Synthesis of Robust Multiple-Input Multiple-Output Control Systems

      1995 James N. Rozak    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Impact of Robust Control on handling Qualities and Fatigue Damage of Rotorcraft

      1995 Nan-Chyuan Tsai    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Stochastic Optimal Control under Randomly-varying Distributed Delays

      1996 Sekhar Tangirala    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Stochastic Modeling of Fatigue damage for Prognostics and Life Extending Control

      1997 Michael S. Holmes    Ph.D. in Electrical Engineering with Minor in Mechanical Engineering
            
Damage Mitigating Control of Mechanical Systems

      1998 Pattada Kallappa    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Robust Wide-Range control of Power Plants for Life Extension

      1998 Jeffrey Caplin    Ph.D. in Mechanical Engineering and M.S. in Aerospace Engineering
            
Damage-Mitigating Control of Aircraft for High Performance and Life Extension

      1999 Ravindra Patankar    Ph.D. in Mechanical Engineering with Minor in Electrical Eng.
            
Modeling Fatigue Crack Growth for Life Extending Control

      1999 Hui Zhang    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Intelligent decision and Control for Life Extension and high Performance

      1999 Bo-Shong Hong    Ph.D. in Mechanical Engineering with Minor in Electrical Engineering
            
Robust Control of Combustion Instabilities

      2001 Eric E. Keller    Ph.D. in Mechanical Engineering and M.S. in Aerospace Engineering
            
Real-Time Sensing of Fatigue Crack Damage for Information-Based Decision and Control

      2003 Jinbo Fu    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Robust Optimal Control of Regular Languages for Engineering Applications

      2003 Xi Wang    Ph.D. in Mechanical Engineering and M.S. in Electrical engineering
            
Quantitative Measure of Regular Languages for Supervisory Control

      2004 Shin Chin    Ph.D. in Electrical Engineering and M.S. in Physics
            
Real-time Anomaly Detection in Complex Dynamical systems

      2005 Devendra K. Tolani    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Integrated Health Management and Control of Complex Dynamical Systems

      2005 Jialing Chen    Ph.D. in Electrical Engineering and M.S. in Mechanical Engineering
            
Hybrid Control of Complex Dynamical Systems

      2006 Shalabh Gupta    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Behavioral Pattern Identification for Structural Health Monitoring in Complex Systems

      2006 Amol Khatkhate    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Anomaly Detection in Electromechanical Systems Using Symbolic Dynamics

      2006  Ishanu Chattopadhyay    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Quantitative Control of Probabilistic Discrete Event Systems: A Measure-theoretic Approach

      2007 Murat Yasar    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Hybrid Supervisory Control of Complex Dynamical Systems

      2007 Rohan Samsi    Ph.D. in Electrical Engineering and M.S. in Mechanical Engineering
            
A Probabilistic Framework for Fault Detection in Induction Motors

      2007 Venkatesh Rajagopalan    Ph.D. in Electrical Engineering with minor in Mech. Engineering
            
Symbolic Dynamic Filtering of Complex Dynamical Systems

      2009 Goutham Mallapragada    Ph.D. in Mechanical Engineering and M.S. in Elec. Engineering
            
A Language-theoretic Framework for Decision & Control of Autonomous Systems

      2009 Aparna Subbu    Ph.D. in Electrical Engineering and M.S. in Mechanical Engineering
            
Pattern Recognition Using Symbolic Dynamic Filtering f

      2009 Abhishek Srivastav    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Collaboration and Pattern Recognition in Distributed Sensor Networks

      2010 Subhadeep Chakraborty    Ph.D. in Mechanical Engineering and M.S. in Elec. Engineering
            
Symbolic Identification of Dynamical Systems: Theory and Experimental Validation

      2010 Chinmay R. Rao    Ph.D. in Electrical Engineering and M.S. in Mechanical Engineering
            
Data-driven Pattern Identification in Complex Systems Using Symbolic Dynamic Filtering

      2011 Soumik Sarkar    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Autonomous Perception and Decision Making in Cyber-physical Systems

      2011 Kushal Mukherjee    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Supervisory Decision and Control of Large-scale Multi-agent Systems

      2011 Yicheng Wen    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Heterogeneous Sensor Fusion in Sensor Networks: A Language-Theoretic Approach

         
      2011 Dheeraj S. Singh    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Real-Time Detection and Estimation of Incipient Damage in Polycrystalline Alloys

      2012 Xin Jin     Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
         
Situation Awareness and Adaptive Decision-making via Symbolic Learning

      2014 Kshitij Jerath    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
         
Influential Subspaces in Self-Organizing Multi-Agent Systems

      2015  Soheil Bahrampour     Ph.D. in Electrical Engineering and M.S. in Mechanical Engineering
         
Sparse Representation for Information Fusion

      2015 Soumalya Sarkar    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Hierarchical Symbolic Perception of Dynamic Data-driven Application Systems

      2016 Yue Li    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Adaptive Pattern Recognition in Complex Systems via Symbolic Time Series Analysis

      2016 Devesh K. Jha    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Learning and Decision Optimization in Data-driven Autonomous Systems

      2017 Nurali Virani    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Learning Data-driven Models for Decision-making in Intelligent Physical Systems

      2018 Sihan Xiong    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Bayesian Nonprarmetric Modeling of Categorical Data in Dynamic Data-Driven Systems

      2018 Michael Hauser    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Principles of Riemannian Geometry in Neural Networks

      2018 Pritthi Chattopadhyay    Ph.D. in Mechanical Engineering and M.S. in Electrical Eng.
            
Data-driven Pattern Recognition and Decision Making in Dynamical Systems

      2019 Wenqing Yao    Ph.D. in Nuclear Engineering and M.S. in Mechanical Engineering
            
Data-driven Sensor Recalibration and Fault Diagnosis in Nuclear Power Plants

      2019 Najah F. Ghalyan    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Sequential Machine Learning for Decision Making in Mechanical Systems

      2020 Yiwei Fu    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Modeling, Prediction, and Control of Engineering Systems with Long Short-Term Memory

      2020 Sudeepta Mondal    Ph.D. in Mechanical Engineering and M.A. in Mathematics
            
Probabilistic Machine Learning for Engineering Design Optimization & Diagnostics

      2021 Hassan Alqahtani    Ph.D. in Mechanical Engineering and M.S. in Electrical Engineering
            
Deep Learning Approach to Real-time Health Monitoring for Fatigue Damage Detection

      2021 Samer Saab    Ph.D. in Electrical Engineering
            
Investigation of Deep Neural Networks from Control and Optimization Perspectives

      2022 Chandrachur Bhattacharya    Ph.D. in Mechanical Engineering and M.S. in Electrical Eng.
            
Frontiers in Data-driven Machine Learning via Probabilistic Finite State Automata

      2022 Xiangyi Chen    Ph.D. in Nuclear Engineering and M.S. in Electrical Engineering.
            
Model-based and Data-driven Anomaly Detection & Fault Accommodation in Nuclear Plants

SUPERVISION OF POSTDOCTORAL AND VISITING SCHOLARS

          1986-1987      Dr. Abu Abo-Ismail            Fluid Power Control
          1986-1888      Dr. Yoram Halevi                Integrated Communication and Control Systems

          1991-1992      Dr. L-W. Liou                    Optimal Control of Networked Dynamical Systems

          1992-1993     
Dr. Jenny H. Shen              Robust Optimal Control.                  
          1993-1994     
Dr. Humberto Garcia          Filtering and Estimation
          1994-1995      Dr. Chen K. Weng              Robust Optimal Control
          2000-2001      Dr.Hui Zhang                     Discrete Event Control Systems and Formal Languages
          2001-2002      Dr. Suk Lee                        Discrete Event Control Systems and Formal Languages
          2001-2017      Dr. Eric E. Keller               Complex Systems Failures
          2006-2011      Dr. Shalabh Gupta              Statistical Mechanics-inspired Pattern Classification
          2006-2011      Dr. Ishanu Chattopadhyay Formal-language-theoretic Control of Complex Systems
          Year 2010      Dr. Abhishek Srivastav     Statistical Mechanics-inspired Control of Sensor Networks
          Year 2011      Dr. Bai Hua                       Decision & Control Algorithms for Mechanical Structures
          2011-2012     Dr. Kushal Mukherjee        Statistical Mechanics-Inspired Control of Sensor Networks
          Year 2015      Dr. Zhipeng Xu                 Processing of Surface Images for Damage Modeling
         2016-2017      Dr. Xiao-Guang Zhu          Robotics for Energy Applications
         2017-2018      Dr. Shiliang Zhou              Nuclear Power Plant Instrumentation and Control
         2018-2019      Dr. Zhao Zheng                 Electric Power System Instrumentation and Control