Ganesh Kumar Venayagamoorthy

G. Kumar Venayagamoorthy is the Duke Energy Distinguished Professor of Power Engineering and Professor of Electrical and Computer Engineering at Clemson University since January 2012. Prior to that, he was a Professor of Electrical and Computer Engineering at the Missouri University of Science and Technology (Missouri S&T), Rolla, USA where he was from 2002 to 2011. Dr. Venayagamoorthy is the Founder and Director of the Real-Time Power and Intelligent Systems Laboratory at Clemson University. Dr. Venayagamoorthy holds the position of an Extraordinary Professor in the Department of Electrical, Electronic and Computer Engineering at the University of Pretoria, South Africa.

Dr. Venayagamoorthy received his PhD and MScEng degrees in Electrical Engineering from the University of Natal, Durban, South Africa.  He received his BEng degree with a First-Class Honors in Electrical and Electronics Engineering from Abubakar Tafawa Balewa University, Bauchi, Nigeria. He holds an MBA degree in Entrepreneurship and Innovation from Clemson University, USA.

Dr. Venayagamoorthy is a recipient of 2004 U.S. NSF CAREER award and 2007 U.S. Office of the Naval Research Young Investigator Award. His research interests are in the development and innovation of power systems, smart grids and artificial intelligence technologies. He is an inventor of technologies for scalable computational intelligence for complex systems and dynamic stochastic optimal power flow. Dr. Venayagamoorthy has published over 600 refereed technical articles which are cited over 25,000 times with a h-index of 73 and i10-index of > 300. Professor Venayagamoorthy has given over 500 technical presentations (including over 30 keynotes and plenaries) in 50 countries to date.

Dr. Venayagamoorthy is the Chair and Founder of the IEEE PES Working Group on Intelligent Control Systems and IEEE Computational Intelligence Society (CIS) Task Force on Smart Grid. He has served as Editor/Associate Editor/Guest Editor of several IEEE Transactions and Elsevier Journals. He is the Editor for the IEEE Press Series on Power and Energy Systems. Dr. Venayagamoorthy is a Fellow of the IEEE, IET (UK), the South African Institute of Electrical Engineers (SAIEE) and Asia-Pacific Artificial Intelligence Association (AAIA), and a Senior Member of the International Neural Network Society (INNS). He is a Distinguished Lecturer of the IEEE CIS, IAS, IES and PES. Dr. Venayagamoorthy is the INNS Vice-President for Industry Relations and a Member of its Board of Governors. He was a 2024 U.S. Fulbright Scholar to South Africa. He is the General Chair for 2027 INNS-IEEE International Joint Conference on Neural Networks.

Contact: gvenaya@clemson.edu

Website: https://www.youtube.com/watch?v=at83UZsmgV8

Abstracts:

Distributed Artificial Intelligence for Intelligent Systems

Abstract: The smart grid is the transformation of the traditional power system to one that is conscious, intelligent, distributed, and flexible. Such an electric power grid architecture can facilitate the distributed and secure flow of power from renewable energy sources including solar and wind. Smart grid operations and control is complex, now dealing with variable power and energy sources, bidirectional power flows, and uncertainty in forecasting and real- time availability of generation, loads, energy storage and other operational resources. Furthermore, smart grid operations will involve flexible loads and energy storage including electric vehicles. This talk will address the potentials and promises of Distributed Artificial Intelligence (AI) for smart grid operations and control. AI has evolved over the last 50 years to impact complex systems operations and control in a meaningful way. Examples of distributed AI technologies for stable, secure, reliable, and efficient operations and control in for the evolving smart grid will be presented.

 Education and/or Training on Artificial Intelligence 

Abstract: This talk will present the main paradigms of artificial intelligence (AI) and its applications to develop intelligent systems. The paradigms covered include artificial immune systems (AISs), evolutionary computing (EC), fuzzy systems (FSs), advanced neural networks (NNs) and swarm intelligence (SI). While individual AI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids of these paradigms since no one paradigm is superior to any other for solving all types of problems. In doing so, respective strengths of individual components in a hybrid AI system are capitalized while their weaknesses are eliminated. The objective of this talk is to introduce the field of AI to undergraduate and graduate students at universities and working professionals in the industrial systems and expose especially students at an early stage in their degree program and career to artificial intelligence and real-world applications of AI including smart grid. Typical examples of implemented/working projects in AI applied to different power systems areas will be presented.

Internet of Things with Emphasis on Smart Grid

Abstract: A transformation is underway in electric power and energy systems (EPESs), called the Smart Grid, to provide clean distributed energy for sustainable global economic growth. Internet of Things (IoT) is at the forefront of this transformation imparting capabilities, such as real-time monitoring, situational awareness and intelligence, control, and cyber security to transform the existing EPES into intelligent cyber-enabled EPES, which is more efficient, secure, reliable, resilient, and sustainable. This talk will provide an assessment of the role, impact, and challenges of IoT in transforming

Website: https://www.clemson.edu/cecas/departments/ece/faculty_staff/faculty/kvenaya.html