Duke Energy Distinguished Professor of Electrical and Computer Engineering
Ph.D., 2002 – University of Natal
M.Sc. Eng., 1999 - University of Natal
B.Eng. (Hons.), 1994 – Abubakar Tafawa Balewa University
Electrical and Electronic Engineering
Professor G. Kumar Venayagamoorthy received a B.Eng. (Honors) degree in Electrical and Electronic Engineering from the Abubakar Tafawa Balewa University (Nigeria) in 1994. He then worked for Square One Comnet (Lesotho) from 1994 to 1995. He joined the University of Natal (South Africa) in October 1995 where he received his M.Sc.Eng. and Ph.D. degrees in Electrical Engineering in April 1999 and Feb. 2002, respectively. Professor Venayagamoorthy was on the academic staff at the Durban Institute of Technology (South Africa) as a full-time Lecturer (March 1996 to April 2001) and Senior Lecturer (May 2001 to April 2002). He had visiting research scholar appointments with Texas Tech University in 1999, University of Missouri-Rolla in 2000/2001, and ABB Corporate Research Center (Sweden) in 2007. Prior to joining Clemson University as the Duke Energy Distinguished Professor of Electrical and Computer Engineering he was a Professor of Electrical and Computer Engineering at Missouri University of Science and Technology where he held the ranks of an Assistant Professor (tenure-track, 2002-2006), Associate Professor (tenured, 2006-2011) and Professor (2011). He is the Founder and Director of the Real-Time Power and Intelligent Systems Laboratory (http://rtpis.org). Professor Venayagamoorthy is a Fellow of the Institution of Engineering and Technology (IET), UK and the South African Institute of Electrical Engineers (SAIEE). He is a Senior Member of the IEEE and the International Neural Network Society, and a Member of the American Society for Engineering Education. He is member of Board of Governors of INNS (2009-2011), and re-elected for a second three year term.
Over the last fifteen years, Professor Venayagamoorthy’s contributions have primarily emphasized on the development and implementation of advanced computational methods for smart grid applications (e.g. nonlinear modeling and control of power systems, power system optimization, predictions of wind and solar energies, energy management systems, wide area monitoring and control systems, dynamic optimal power flow, plug-in electric vehicles, micro-grid systems). Other applications of computational methods have been in the area of sensor networks and signal processing. Professor Venayagamoorthy is the pioneer in the development and implementation of adaptive critics for power system control. Adaptive critics based optimal controllers have been implemented to control synchronous generators under normal operating conditions and disturbances on actual micro-machines. The adaptive critic control framework has been extended to other smart grid applications including FACTS control, wide area control systems, PV energy management systems, wind farm control, and G2V and V2G transactions. Professor Venayagamoorthy has demonstrated that distributed SmartParks (plug-in vehicles parking lots) can be used as Virtual FACTS devices, and with intelligent control can mitigate power system oscillations caused by dynamic operation of wind farms and system disturbances. His recent interests are in development of synchrophasor applications, and situational awareness and intelligence systems for the electric power system.
Professor Venayagamoorthy has authored/co-authored two edited books, six book chapters, over 90 journal papers, and over 290 conference papers. He has directed 9 completed Ph.D. dissertations and 18 completed master's theses. He is a recipient of several awards including a 2007 U.S. Office of Naval Research Young Investigator Program Award, a 2004 NSF CAREER Award, the 2010 Innovation Award from St. Louis Academy of Science, the 2006 IEEE Power and Energy Society Outstanding Young Engineer Award, a 2011, 2008, 2007, and 2005 Missouri S&T Faculty Excellence Award, and a 2009 Missouri S&T Faculty Research Award. Professor Venayagamoorthy is the lead PI on a 2008 NSF EFRI project “Neuroscience and Neural Networks for Engineering the Future Intelligent Electric Power Grid” (http://brain2grid.org).
He has been involved in the leadership and organization of many conferences including the Founder and Chair of the 2011 IEEE Symposium of Computational Intelligence Applications in Smart Grid (CIASG). He is the Chair of the IEEE PES Working Group on Intelligent Control Systems (since 2005), the Chair of IEEE Computational Intelligence Society (CIS) Task Force on Smart Grid (since 2010), and the Chair of the IEEE PES Intelligent Systems Subcommittee (2011–2012). He is currently an Editor of the IEEE Transactions on Smart Grid, and Neural Networks (Elsevier). In 2011, Professor Venayagamoorthy’s publications received on average over a citation per day by other researchers. More information on Professor Venayagamoorthy's academic activities is available from his personal website.