2018 - Dr. Suzanna Long, PEM, F. ASEM
Dr. Suzanna Long, PEM, F. ASEM

Department Chair and Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 2110 Managing Engineering and Technology, ENG MGT 3510 Marketing Management, ENG MGT 5111 Management for Engineers & Scientists, ENG MGT 5614 Business Logistics Systems Analysis ENG MGT 6511 Advanced Marketing Management

Research Interests:

Critical Infrastructure Systems, Strategic Management, Sustainable Infrastructures, Management, Supply Chain and Transportation, Systems Management, Organizational Behavior, Sociotechnical Systems Analysis

Personal Website:

Education:

  • Ph.D. Engineering Management, 2007, University of Missouri-Rolla
  • M.S. Engineering Management, 2004, University of Missouri- Rolla
  • M.A. History, 1988, University of Missouri- St. Louis
  • B.S. Physics, 1984, University of Missouri-Rolla
  • B.A. History, 1984, University of Missouri- Rolla
2018 - Dr. Venkata Allada
Dr. Venkat Allada

Professor

Engineering Management & Systems Engineering

Research Interests:

Lean Management, Systems Thinking, Product Design and Development, Higher Education

Education:

  • Ph.D. Industrial Engineering, 1994, University of Cincinnati
  • M.Tech. Management & Systems, 1990, Indian Institute of Technology
  • B.E. Producation Engineering, 1987, University of Mumbai
2018 - Dr. Casey Canfield
Dr. Casey Canfield

Assistant Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 2110 Managing Engineering and Technology

Research Interests:

Human Systems Integration, Human Factors, Automation, Energy Systems, Smart Cities, Organizational Behavior, Decision Science, Risk Analysis, Risk Communication, Data Visualization, Policy Analysis, Behavioral Interventions, Program Evaluation, Implementation Science, Stakeholder Engagement

Personal Website:

Education:

  • Ph.D. Engineering & Public Policy, 2016, Carnegie Mellon University
  • B.S. Engineering: Systems, 2010, Franklin W. Olin College of Engineering
2019 - Dr. Steve Corns
Dr. Steven Corns

Associate Chair of Graduate Studies and Associate Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 2310 Introduction to Systems Engineering, SYS ENG 5101 Systems Engineering and Analysis, SYS ENG 5211 Computational Intelligence

Research Interests:

Computational Intelligence, Complex Systems, Bioinformatics, Infrastructure System Modeling, Autonomous Systems

Personal Website:

Education:

  • Ph.D. Mechanical Engineering, 2008, Iowa State University
  • M.S. Mechanical Engineering, 2003, Iowa State University
  • B.S. Mechanical Engineering, 2001, Iowa State University
Dagli
Dr. Cihan Dagli

Founder and Director of Systems Engineering Graduate Program and Professor

Engineering Management & Systems Engineering

Specialization:

SYS ENG 5212 Introduction to Neural Networks and Applications, SYS ENG 6104 Systems Architeching, SYS ENG 6213 Deep Learning and Advanced Neural Networks, SYS ENG 6239 Smart Engineering Systems Design, SYS ENG 6321 Complex System Modeling

Research Interests:

Systems Engineering and Systems Architecting, Cyber Physical Systems, Deep Learning, Machine Learning and Computational Intelligence

Personal Website:

Education:

  • Ph.D. Applied Operations Research in Large Scale Systems Design and Operation, 1979, University of Birmingham, United Kingdom
  • M.S. Industrial Engineering, 1972, Middle East Technical University
  • B.S. Industrial Engineering, 1971, Middle East Technical University
Enke
Dr. David Enke

Curators' Distinguished Teaching Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 5212 Intelligent Investing, ENG MGT 6211 Advanced Financial Management, ENG MGT 6212 Investment, ENG MGT 6213 Financial Engineering, ENG MGT 6215 Financial Risk Management

Research Interests:

Financial Engineering, Investments, Stocks, Derivatives, Portfolio Management, Financial Risk Management, Enterprise Risk Management, Financial Forecasting, Volatility Forecasting, Trading, Hedge Fund Replication, Cryptocurrencies, Decentralized Finance, Computational Intelligence, and Artificial Intelligence

Personal Website:

Education:

  • Ph.D. Engineering Management, 1997, University of Missouri-Rolla
  • M.S. Engineering Management, 1994, University of Missouri-Rolla
  • B.S. Electrical Engineering, 1990, University of Missouri- Rolla
Dr. Gosavi
Dr. Abhijit Gosavi

Associate Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 4310 Plant Layout and Material Handling, ENG MGT 5410 Simulation, ENG MGT 5615 Production Planning and Scheduling, ENG MGT 5412 Operations Management Science

Research Interests:

Simulation-Based Optimization, Markov Decision Processes, Airline Revenue Management, Total Productive Maintenance

Personal Website:

Education:

  • Ph.D. Industrial Engineering, 1999, University of South Florida
  • M.Tech Mechanical Engineering, 1995, Indian Institution of Technology
  • B.E. Mechanical Engineering, 1992, Jadavpur University
Dr. Katie Grantham

Associate Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 5515/ MECH ENG 5757 Product and Process Design, ENG MGT 5713 Management and Methods in Reliability, SYS ENG 6110 Function Based Risk Analysis

Research Interests:

Risk Analysis and Mitigation, Product Design, Engineering Education

Dr. Sheryl Hodges

Associate Teaching Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 2211 Engineering Accounting and Finance, ENG MGT 3510 Marketing Management Systems ENG MGT 5210 Economic Decision Analysis, ENG MGT 6322 Case Studies in Project Management ENG MGT 6323 Global Project Management

Research Interests:

Program/Project Management, Financial Management, Organizational Management, Engineering/Construction

Education:

  • D.E., 1993, Louisiana Tech University
  • B.S. Civil Engineering, 1992, (magna cum laude) Louisiana Tech University
  • M.A. Geology, 1986, State University of New York - Buffalo
  • B.A. Geology, 1983, (cum laude) State University of New York - Buffalo
Dr. Jinling Liu
Dr. Jinling Liu

Assistant Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 3310 Operations and Production Management

Research Interests:

Artificial Intelligence, Biomedical Informatics, Precision Medicine, Big Data Analytics, Systems Biology, Immunology, Causal Inference, Multi-omics Data

Personal Website:

Education:

  • M.S. Biomedical Informatics, 2019, University of Pittsburgh
  • Ph.D. Biology, 2014, The Pennsylvania State University
  • B.S. Biotechnology, 2008, East China Normal University
Dr. Robert Marley

Robert B. Koplar Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 6211 - Advanced Financial Management

Research Interests:

Engineering Science: Human Systems Integration, Human Factors Engineering, Ergonomics, Human Health and Safety Engineering, Engineering Psychology, Human Performance, Statistics and Design of Industrial Experiments. Applications in occupational and transportation systems. Engineering Management Science: Leadership in complex organizations, diversity and inclusion in complex organizations,decision making. Applications in higher education and not-for-profit systems.

Education:

  • Ph.D. Industrial Engineering, 1990, Wichita State University
  • M.S. Engineering Management Science, 1987, Wichita State University
  • B.G.S. General Studies - Experimental Psychology Emphasis, 1983, Wichita State University
Dr. Stephen Raper
Dr. Stephen Raper

Associate Chair of Undergraduate Studies and Associate Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 2110 Managing Engineering and Technology ENG MGT 3310 Operations and Production Management, ENG MGT 4110 General Management-Design and Integration, ENG MGT 4907 Engineering Management Senior Design, ENG MGT 5313 Packaging Management ENG MGT 6610 Advanced Production Management

Research Interests:

Packaging Systems, Engineering Management, Undergraduate Education

Education:

  • Ph.D. Engineering Management, 1989, University Missouri-Rolla
  • M.A. Engineering Management, 1987, University of Missouri-Rolla
  • B.S. Engineering Management, 1985, University of Missouri-Rolla
Dr. Joan Schuman

Associate Teaching Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 3320 Introduction to Project Management, ENG MGT 5210 Economic Decision Analysis, ENG MGT 6211 Advanced Financial Management, ENG MGT 6322 Case Studies in Project Management, ENG MGT 6323 Global Project Management

Research Interests:

Engineering Education, Project Management, Cultural Competency

Education:

  • Ph.D. Polymer Science and Engineering, 2003, University of Southern Mississippi
  • BSME, 1985, University of Arkansas
2019 - Dr. David Spurlock
Dr. David Spurlock

Associate Teaching Professor

Engineering Management & Systems Engineering

Specialization:

ENG MGT 5110 Managerial Decision Making, ENG MGT 5111 Management for Engineers and Scientists, ENG MGT 6322 Case Studies in Project Management, ENG MGT 5320 Project Management, ENG MGT 2110 Managing Engineering and Technology, ENG MGT 6113 Advanced Personnel Management, ENG MGT 6110 Case Studies in General Management, ENG MGT 5412 Operations Management Science

Education:

  • Ph.D. Organizational Psychology, University of Illinois at Urbana-Champagin
  • M.A. Organizational Psychology, University of Illinois at Urbana-Champagin
  • M.A. Pepperdine University
  • B.E.E.(Magna cum laude) University of Dayton

Joint Appointment Faculty

Dr. K. Chandrashekhara

Curators' Distinguished Professor

Mechanical and Aerospace Engineering

Academic Positions:

- Curators' Professor, Department of Mechanical and Aerospace Engineering, Missouri S&T (2008-present)
- Professor, Department of Mechanical and Aerospace Engineering, Missouri S&T(1997-2007)
- Associate Professor, Department of Mechanical and Aerospace Engineering and Engineering Mechanics, Missouri S & T (1991-1997)
- Assistant Professor, Department of Mechanical and Aerospace Engineering and Engineering Mechanics, Missouri S & T (1985-1991)
- Graduate Research Assistant, Virginia Polytechnic Institute and State University, Blacksburg, VA (1982-85)

Non-Academic Positions:

- Assistant Civil Engineer, Structural Design Group, Tata Consulting Engineers, India (1980-82)

Research Interests:

Composite materials; Smart structures; Nanocomposites; Biocomposites; Structural dynamics; Finite element analysis; Damage monitoring; Composite manufacturing; & Experimental characterization

Education:

  • Ph.D., Virginia Polytechnic Institute, 1985
El-adaway
Dr. Islam H. El-adaway, P.E., C.Eng, F.ASCE, F.ICE

Hurst/McCarthy Professor

Civil, Architectural and Environmental Engineering

Specialization:

Construction Engineering and Management

Research Interests:

Modeling and simulation (multi agent systems, system dynamics, and social network analysis); Sustainable infrastructure management; Resilient hazard management; Energy management; Contractual and dispute management; Planning management; Safety management; Decision and risk management; Engineering education; & Engineering ethics

Personal Website:

Education:

  • Ph.D. Civil Engineering (Construction Engineering and Management), Iowa State University, 2008
  • M.S. Construction Engineering, The American University in Cairo, Egypt, 2006
  • B.S. Construction Engineering, The American University in Cairo, Egypt, 2003
Dr. Susan Murray

Chair and Professor

Psychological Science

Specialization:

Human Factors and Educational Research

Research Interests:

Human Factors, Human Systems Interactions, Industrial Safety, Fatigue Risk Management, and Engineering Education

Education:

  • Ph.D. in Industrial Engineering, Texas A&M University
  • M.S. in Industrial Engineering, University of Texas - Arlington
  • B.S. in Industrial Engineering, Texas A&M University
Dr. Jagannathan Sarangapani

William A. Rutledge - Emerson Electric Company Distinguished Professor

Electrical Engineering

Jagannathan Sarangapani is at the Missouri University of Science and Technology, Rolla, MO, USA, where he is a Rutledge-Emerson Distinguished Professor and was Site Director for the graduated NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems. He also has a courtesy appointment with the Department of Computer Science. He has co-authored 179 peer-reviewed journal articles, over 289 refereed IEEE conference articles, several book chapters, and co-authored four books and two edited books. He holds 21 patents, one defense publication, with several pending. He has supervised the completion of over 30 doctoral students and 31 M.S. thesis students. His research funding is in excess of $18.6 million dollars (his shared credit $10.57 million) from NSF, NASA, AFOSR, ARO, ONR, AFRL, Boeing, Honeywell, Sandia and from other companies. His current research interests include neural network learning, adaptation, decision making and control, networked control systems/cyber physical systems, prognostics/bigdata, and autonomous systems/robotics with healthcare applications.  He served/serving on various editorial boards and as a co-editor for the IET Book series on Control.

Journal Papers (recent)

  1. Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani, “A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices”, Journal of Computers in Biology and Medicine, accepted for publication, April 2021.
  2. Raghavan, S. Jagannathan, and V. Samaranayake, "A game-theoretic approach for addressing domain-shift in big-data", IEEE Transactions on Bigdata, accepted for publication, April 2021.
  3. Moghadam, P. Natarajan, and S. Jagannathan, “Online optimal adaptive control of partially uncertain nonlinear discrete-time systems using multilayer neural networks”, IEEE Transactions on Neural Networks and Learning Systems, accepted for publication, February 2021.
  4. Jinna Li, Xiao, T. Chai, F.L. Lewis, and S. Jagannathan, " Adaptive interleaved reinforcement learning: robust stability of affine nonlinear systems with unknown uncertainty", IEEE Transactions on Neural Networks and Learning Systems, accepted for publication, October 2020.
  5. Prakash, L. Behera, S. Mohan, and S. Jagannathan, “Dual loop optimal control of a robot manipulator and its application in warehouse automation”, IEEE Transactions on Automation Science and Engineering, accepted for publication, September 2020.
  6. Raghavan, Shweta Garg, S. Jagannathan, and V. Samaranayake, "Distributed min-max learning scheme for neural network with applications to high dimensional classification", IEEE Transactions on Neural Networks and Learning Systems, accepted for publication, August 2020.
  7. Narayanan, H. Moderes, S. Jagannathan and F. L. Lewis, “Event-driven off-policy reinforcement learning for control of interconnected systems”, IEEE Transactions on Cybernetics, accepted for publication, April 2020.
  8. Haifeng Niu and S. Jagannathan, “Flow based attack detection and accommodation for networked control systems”, International Journal of Control, vol. 94, no. 3, 834-847, March 2021.
  9. Natarajan, R. Moghadam, and S. Jagannathan, “Online deep neural network-based feedback control of a Lutein bioprocess”, Journal of Process Control, vol. 98, pp. 41-51, 2021.
  10. Raghavan, S. Jagannathan, V. Samaranayake, “Direct error-driven learning for deep neural networks with applications to big-data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 5, pp. 1763-1770, May 2020.

 

Conference Papers (representative)

  1. Rohollah Moghadam, and S. Jagannathan, “Optimal adaptive regulation of uncertain linear continuous-time systems with state and input delays”, of the IEEE Conference on Decision and Control, pp. 132-137, December 2020.
  2. Rohollah Moghadam, P. Rajan, and S. Jagannathan, “Multilayer neural network-based optimal adaptive tracking control of partially uncertain nonlinear discrete-time systems”, of the IEEE Conference on Decision and Control, pp. 2204-2209, December 2020.
  3. Jinna Li, Zhenfei Xiao, TianYou Chai, Frank L. Lewis, and S. Jagannathan, “Off-policy Q-learning for anti-interference control of multi-player systems”, Proc of the IFAC World Congress, Berlin Germany, July 2020.
  4. Rohollah Moghadam, Pappa Natarajan, Krishnan Raghavan and S. Jagannathan, “Online optimal adaptive control of a class of uncertain nonlinear discrete-time systems”, of the IEEE International Joint Conference on Neural Networks (IJCNN) as part of WCCI, pp. 1-6, August 2020.
  5. Moghadam and S. Jagannathan, “Optimal control of linear continuous-time systems in the presence of state and input delays with application to a chemical reactor”, Proc. of American Controls Conference, pp. 999-1004, July 2020.
  6. Moghadam and S. Jagannathan, “Approximate optimal adaptive control of partially unknown linear continuous-time systems with state delay”, Proc. of the IEEE Conference on Decision and Control, pp. 1985-1990, December 2019.

 

Books (edited) Published

  • K. Vamvoudakis and S. Jagannathan, “Control of Complex Systems: Recent Advances and Future Directions”, Wiley, (Edited) 2016.

Book Chapter(s)

  • Rohollah Moghadam, V, Narayanan, S. Jagannathan, and Krishnan Raghavan, “Optimal adaptive control of uncertain linear systems with time-delay”, Springer, in Handbook of Reinforcement Learning and Control, Editors: K.G. Vomvoudakis, Y. Wan, F. Lewis and D.Canseer, 2021.
  • Krishnan Raghavan, S. Jagannathan, and V. Samaranayake, “Direct error driven learning for classification with applications to Bigdata”, Editors: W. Pedrycz and S. Chen, Deep Learning Architectures, Springer Nature, pp. 1-30, 2020.
  • Hao Xu and S. Jagannathan, “Joint scheduling and event triggered optimal control design for cyber physical systems”, Editors:  Sandip Roy and Sajal Das, Principles of CPS: An Interdisciplinary Approach, Cambridge University Press, pp. 104-126, 2020.

Patents

  • Al Salour, D. Trimble, J. Sarangapani, and E. Taqieddin, "Ultra-lightweight Mutual Authentication Protocol with Substitution Operation”, US Patent No. 10198605, February 5, 2019. (jointly with Boeing, St Louis)

Recent Grants (active)

  • Deep Neural Network Control, PI, ONR, 2021-2025.
  • Planning Grant: Engineering Research Center for Integrative Manufacturing and Remanufacturing Technologies (iMart) to Spur Rural Development, Co-PI, NSF, 2019-2021.
  • A Doctoral Program in Big Data, Machine Learning, and Analytics for Security and Safety”, Co-PI, Dept. of Education, 2018-2021.
  • RFID based Asset Tracking and Evolvable DNA, Honeywell, PI, 2020-2021.

Selected Awards

  • 2021 University of Missouri Presidential Award for Sustained Excellence-STEM
  • 2020 Best Associate Editor Award, IEEE Systems, Man, and Cybernetics-Systems.
  • 2018 IEEE Control System Society’s Transition to Practice Award
  • 2018 Fellow, National Academy of Inventors
  • 2016 Fellow of the IEEE
  • 2015 Fellow of the IET (UK)
  • 2014 Fellow of the Inst. Of Measurement & Control (UK)
  • 2005 Teaching Commendation Award
  • Commended for Teaching Excellence in 2006-2007, 2012-2013, 2013-2014
  • Outstanding Teaching Award 2014-2015, 2015-2016, 2017-2018
  • Faculty Excellence Award 2005-2006, 2006-2007
  • 2007 Boeing Pride Achievement Award
  • 2001 University of Texas Presidential Award for Excellence (early career)
  • 2001 Caterpillar Research Excellence Award
  • 2000 NSF Career Award

Students Graduated (recent)

  • Rohollah Moghadam, “Optimal adaptive control of timed-delay dynamical systems with known and uncertain dynamics”, October 2020. (Assistant Professor, Arkansas Tech. University)

Research Interests:

Systems and control; Neural network control; Event triggered control/cyber-physical systems; Resilience/prognostics; Autonomous systems/robotics

Resume/CV:

Personal Website:

Education:

  • Ph.D. in Electrical Engineering, University of Texas at Arlington, 1994
  • M.S. in Electrical Engineering, University of Saskatchewan at Saskatoon, Canada, 1989
  • B.S. in Electrical Engineering, Anna University at Madras, India, 1986
Dr. Donald Wunsch II

Mary K. Finley Missouri Distinguished Professor

Computer Engineering

Donald Wunsch is the Mary K. Finley Missouri Distinguished Professor at Missouri University of Science & Technology (Missouri S&T).    Earlier employers were: Texas Tech University, Boeing, Rockwell International, and International Laser Systems.  His education includes: Executive MBA - Washington University in St. Louis,  Ph.D., Electrical Engineering - University of Washington (Seattle), M.S.,  Applied Mathematics   (same institution),   B.S., Applied Mathematics - University of New Mexico, and Jesuit Core Honors Program, Seattle University.  Key research contributions are: Clustering; Adaptive Resonance and Reinforcement Learning architectures, hardware and applications; Neurofuzzy regression; Traveling Salesman Problem heuristics; Robotic Swarms; and Bioinformatics.   He is an IEEE Fellow and previous INNS President, INNS Fellow and Senior Fellow 2007-2013, NSF CAREER Award winner, and winner of the 2015 INNS Gabor Award.  He served as IJCNN General Chair, and on several Boards, including the St. Patrick’s School Board, IEEE Neural Networks Council, International Neural Networks Society, and the University of Missouri Bioinformatics Consortium, Chaired the Missouri S&T Information Technology and Computing Committee as well as the Student Design and Experiential Learning Center Board. 

Journal Articles

  •  Lei Meng, Ah-Hwee Tan, and Donald Wunsch, "Adaptive Scaling of Cluster Boundaries for Large-scale Social Media Data Clustering," IEEE Trans. on Neural Networks and Learning Systems,  DOI: 10.1109/TNNLS.2015.2498625.
  • Dao Lam, Mingzhen Wei, Donald Wunsch, "Clustering Data of Mixed Categorical and Numerical Type with Unsupervised Feature Learning," IEEE Access, Vol. 3, pp/ 1605-1613, Sept. 2015.  
  • Xiuzhen Huang, Steven F. Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole Cramer, Weihua Guan, Uwe KK Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F. McMullen, Bindu Nanduri, Andy Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald Wunsch, Donghai Xiong, Shuzhong Zhang, Yu Zhang,  Zhongming Zhao and Jason H Moore, “Big data – a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm,” Journal of BMC BioData Mining, Vol. 8, No. 7, February 2015.   
  • Steven Damelin, Y. Gu, Donald Wunsch, and Rui Xu, "Fuzzy Adaptive Resonance Theory, Diffusion Maps, and their applications to Clustering and Biclustering," Mathematical Modelling of Natural Phenomena: Special Issue on Model Reduction Across Disciplines in Honor of Alexander N. Gorban, Vol. 10, No. 3, 2015, pp. 206-211.
  • Gennady Fridman, Jeremy Levesley, Ivan Tyukin, and Donald Wunsch (Eds.), “Preface,” Mathematical Modelling of Natural Phenomena: Special Issue on Model Reduction Across Disciplines in Honor of Alexander N. Gorban, Vol. 10, No. 3, 2015, pp. 1-5.
  • Xingang Fu, Shuhui Li, Michael Fairbank, Donald Wunsch, and Eduardo Alonso, “Training Recurrent Neural Networks with the Levenberg­Marquardt Algorithm for Optimal Control of a Grid-Connected Converter,” IEEE Transactions on Neural Networks and Learning Systems, Vol 26, No. 9, September 2015.  *

Conference Articles

  • Tayo Obafemi-Ajayi, Dao Lam, T. Nicole Takahashi, Stephen Kanne, Donald Wunsch,  “Sorting the Phenotypic Heterogeneity of Autism Spectrum Disorders: a Hierarchical Clustering Model,” IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, August 12-15, 2015, Niagara Falls, Canada.
  • Clayton Smith and Donald Wunsch, “Time series prediction via two-step clustering,” Proc. IEEE / INNS International Joint Conference on Neural Networks, July 12-16, 2015.
  • Clayton Smith and Donald Wunsch, “Particle swarm optimization in an adaptive resonance framework,” Proc. IEEE / INNS International Joint Conference on Neural Networks, July 12-16, 2015.
  • Leonardo Enzo Brito da Silva and Donald Wunsch, “Multi-Prototype Local Density-based Hierarchical Clustering,” Proc. IEEE / INNS International Joint Conference on Neural Networks, July 12-16, 2015.

Patents

  • R. Dua, S.E. Watkins, D.C. Wunsch, “Neural network demodulator for optical sensor,” U.S. Patent 7,603004, Filed June 12, 2007, Issued October 13, 2009. 
  • R. Meuth, J.L. Vian, E.W. Saad, D.C. Wunsch, “Adaptive multi-vehicle coverage optimization system and method, U.S. Patent 8,260,510, Filed July 12, 2012, Issued December 31, 2013. 
  • R. Meuth, J.L. Vian, E.W. Saad, D.C. Wunsch, “Adaptive multi-vehicle coverage optimization system and method, U.S. Patent 8,260,485, Filed September 18, 2007, Issued September 4, 2012. 
  • E.W. Saad, J.L. Vian, R.J. Meuth, and D.C. Wunsch, “Hierarchical mission management,” U.S. Patent Application 20110082717, October 5, 2009.
  • E.W. Saad, S.R. Bieniawski, P.E.R. Pigg, J.L. Vian, P.M. Robinette, D.C. Wunsch, “Real time mission planning,” U.S. Patent 9064222, Applied for May 14, 2010, issued June 23, 2015.
  • R. Xu, D.C. Wunsch, S. Kim, “Methods and systems for biclustering algorithm,” U.S. Patent 9043326 Filed January 28, 2012, claiming priority to Provisional U.S. Patent Application, January 28, 2011, issued May 26, 2015 

 Selected Awards

  • IEEE Fellow
  • INNS Fellow
  • INNS Senior Fellow
  • NSF CAREER Award
  • INNS Gabor Award for Excellence in Neural Networks Engineering Contributions
  • INNS President
  • Haliburton Award for Excellence in Teaching and Research
  • Charles Hedlund Distinguished Visiting Professor, American University Cairo
  • IEEE Electron Devices Society Distinguished Lecturer
  • IEEE Computational Intelligence Society Distinguished Lecturer
  • Coauthor, IEEE Conference on Evolutionary Computation Best Overall Paper
  • Master, DeTao Masters’ Academy, Shanghai
  • Eagle Scout

Research Interests:

Clustering or unsupervised learning; Adaptive dynamic programming (ADP) or reinforcement learning; Neural networks hardware and applications

Resume/CV:

Education:

  • Ph.D. in Electrical Engineering, University of Washington, 1991
  • M.S. in Applied Mathematics, University of Washington, 1987
  • B.S. in Applied Mathematics, Philosophy Minor, University of New Mexico, 1984