Dr. Krishna Pattipati

Board of Trustees Distinguished Professor

Electrical and Computer Engineering

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Dr. Krishna Pattipati received the B. Tech. degree in electrical engineering with highest honors from the Indian Institute of Technology, Kharagpur, in 1975, and the M.S. and Ph.D. degrees in systems engineering from UConn, Storrs, in 1977 and 1980, respectively. He was with ALPHATECH, Inc., Burlington, MA from 1980 to 1986. He has been with the department of Electrical and Computer Engineering at UConn, where he is currently the Board of Trustees Distinguished Professor and the UTC Chair Professor in Systems Engineering. Dr. Pattipati’s research activities are in the areas of proactive decision support, uncertainty quantification, smart manufacturing, autonomy, knowledge representation, and optimization-based learning and inference. A common theme among these applications is that they are characterized by a great deal of uncertainty, complexity, and computational intractability. He is a cofounder of Qualtech Systems, Inc., a firm specializing in advanced integrated diagnostics software tools (TEAMS, TEAMS-RT, TEAMS-RDS, TEAMATE), and serves on the board of Aptima, Inc.

Dr. Pattipati was selected by the IEEE Systems, Man, and Cybernetics (SMC) Society as the Outstanding Young Engineer of 1984, and received the Centennial Key to the Future award. He has served as the Editor-in-Chief of the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS–PART B from 1998 to 2001. He was co-recipient of the Andrew P. Sage Award for the Best SMC Transactions Paper for 1999, the Barry Carlton Award for the Best AES Transactions Paper for 2000, the 2002 and 2008 NASA Space Act Awards for “A Comprehensive Toolset for Model-based Health Monitoring and Diagnosis,” and “Real-time Update of Fault-Test Dependencies of Dynamic Systems: A Comprehensive Toolset for Model-Based Health Monitoring and Diagnostics”, and the 2003 AAUP Research Excellence Award at UCONN. He is an elected Fellow of IEEE and of the Connecticut Academy of Science and Engineering.

Education:

1980 Ph.D. (Control and Communication Systems) University of Connecticut
Graduate Advisor: Prof. David L. Kleinman

1977 M.S. (Electrical Engineering) University of Connecticut

1975 B. Tech (Electrical Engineering) IIT, Kharagpur, INDIA

Professional Experience:

2016-Present Board of Trustees Distinguished Professor, University of Connecticut, Storrs, CT
2011-Present UTC Chair Professor of Systems Engineering, University of Connecticut, Storrs, CT
1992-2011 Professor of Electrical and Computer Engineering, University of Connecticut, Storrs, CT
1986-1992 Associate Professor of Electrical and Systems Engineering, University of Connecticut, Storrs, CT
1988-present Director, Systems Optimization Laboratory, University of Connecticut
1980-1986 Senior Engineer and Senior Scientist, ALPHATECH, Inc., Burlington, MA

Consulting:

ALPHATECH, Inc.
IBM T.J. Watson Research Center
Qualtech Systems, Inc.
Aptima, Inc.

Directorships:

Qualtech Systems, Inc., Rocky Hill, CT (Chairman of the Board)
Aptima, Inc., Woburn, MA

Major Professional Activities:

Elected Fellow of IEEE for contributions to Discrete Optimization Techniques for Large-Scale Systems and Team Decision-making, 1995
Editor-in-Chief, IEEE Transactions on Systems, Man, and Cybernetics (SMC): Part B – Cybernetics, Jan. 1998-Dec. 2001
Vice-President, Technical Activities, IEEE SMC Society, Jan. 1998-Dec. 1999
Vice-President, Conferences and Meetings, IEEE SMC Society, Jan. 2000-Dec. 2001
Associate Editor, IEEE Transactions on Systems, Man, and Cybernetics (SMC, Jan. 1991- Dec. 1997
Member of the administrative committee, IEEE SMC Society (1986-87 and 1993-1994)
Program vice-chairman, Invited Sessions, IEEE SMC Conference, 1989
IEEE SMC Society delegate to the Region X Lecture series (1989)
Member of three CASE advisory committees on Energy Emergency Response and Broadband Communications in the State of Connecticut, 2010-2011
Honors and Awards:

NASA Space Act Award, 2008 for “Real-Time Update Of Fault-Test Dependencies Of Dynamic Systems: A Comprehensive Toolset For Model-Based Health Monitoring And Diagnostics.”
Elected to Connecticut Academy of Science and Engineering, 2006.
UConn School of Engineering Outstanding Teaching Award, April 2005.
UConn AAUP Research Excellence Award, 2003.
NASA Space Act Award for “A Comprehensive Toolset for Model-based Health Monitoring and Diagnosis,” 2002.
Co-recipient of Barry Carlton Award for the Best AES Transactions Paper of 2000, August 2002.
A.P. Sage Award for Best SMC Transactions Paper in Parts A, B and C of 1999, October 2000.
The Walter E. Peterson Awards for Best New Technology Paper at IEEE AUTOTEST Conferences (September 2005, September 2004, October 2002, September 1994, September 1990, October 1985).
Best Technical Paper Awards, Command and Control Research Symposium (June 2004, June 1997).
Outstanding Young Engineer of the IEEE Systems, Man, and Cybernetics Society. Received the Centennial Key to the Future Award (1984).
Outstanding Electrical Engineer, Indian Institute of Technology, Kharagpur, India (1975).
Teaching:

Dr. Pattipati has developed multi-disciplinary and popular courses on advanced machine learning (ECE6141: Neural Networks for Classification and Optimization), linear programming and network flows (ECE6108: Linear Programming and Network Flows), nonlinear optimization (ECE6437: Computational Methods for Optimization), computational methods in control and communications (ECE6435:Advanced Numerical Methods in Scientific Computation), and stochastic models (ECE6433: Stochastic Models for the Analysis of Computer Systems and Communication Networks). As part of his leadership in the UTC Institute for Advanced Systems Engineering (UTC-IASE), Dr. Pattipati worked closely with other center leaders in the layout of seven new courses, and developed and taught SE 5202 (Foundations of Control for Thermal Fluid Systems) to UTC employees as part of the teaching mission of the UTC-IASE. Professor Pattipati regularly teaches ECE3111: Systems Analysis and ECE 4121/6095: “Digital Control of Mechatronic Systems”. He additionally developed an undergraduate systems Lab focused on cyber-physical systems. Major innovations in his teaching include widely acclaimed lecture notes for all courses (many students claim they are better than the assigned text books), extensive use of MATLAB in lectures, and the requirement to work in teams of three or fewer students on a project of their choice to amplify ideas in lectures. The latter is an enormous motivator for the creativity he sees in students.

Research Interests and Impact:

Dr. Pattipati’s research has spanned the areas of agile planning, team decision-making, adaptive organizational design, modeling asymmetric threats, automated testing, model-based and data-driven diagnostics and prognostics, multi-target tracking, multi-user interference in wireless communications, computer system performance optimization, and scheduling of manufacturing systems. Dr. Pattipati’s research in complex system diagnostics and prognostics has been recognized by way of 8 Best Paper Awards at IEEE Autotest conferences, 2 Best Paper Awards in two different IEEE Transactions (AES & SMC), and 2 NASA Space Act Awards. His algorithms have been applied in a number of applications at NASA (e.g., Space station, Ares-1X, Launch complex), semi-conductor fabrication facilities (where downtime incurs significant economic cost), medical equipment (where patient safety and equipment availability are paramount), and ground tactical vehicles, to name a few. Dr. Pattipati’s work on fingerprinting of rare events was presented to JASON study group on rare events in June 2009. His work on command decision making and distributed dynamic resource allocation, weather-impacted ship routing and water space management has been transitioned to the US Navy. His algorithmic work on battery management systems has been patented and the algorithms are embedded in mobile devices by a leading semiconductor company.

Grants and Contracts:

PI/Co-PI on research grants/contracts from the Office of Naval Research, National Science Foundation, DARPA, the Air Force Office of Scientific Research, Naval Postgraduate School, Department of Economic Development of the State of Connecticut, General Motors (Warren, MI and India Science Lab, Bangalore), Toyota Technical Center (Ann Arbor, MI), National Aeronautics and Space Administration, Aptima, BAE Systems, Comcast, Fairchild Semiconductor, Hamilton Sundstrand, Harris Corporation, Pratt & Whitney, Sikorsky Aircraft, Pitney-Bowes and CALSPAN. Total funding value exceeded $15 M.

Citations: Google Scholar Link

Google Scholar Citations: 10,783; h-index: 52; i-10 index: 201 (Accessed 2-23-2017).