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Payman Dehghanian Faculty Member

Payman Dehghanian is currently an Assistant Professor at the Department of Electrical and Computer Engineering at the George Washington University, Washington DC, USA. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at Texas A&M University in 2017. He received the B.Sc. and M.Sc. degrees both in Electrical Engineering respectively from the University of Tehran, Tehran, Iran in 2009 and the Sharif University of Technology, Tehran, Iran, in 2011. His research interests include power system resilience and reliability assessments, synchrophasor technology, and smart electricity grid applications. Dr. Dehghanian is the recipient of the 2016 Best Engineering Graduate Student in the State of Texas, the 2015 IEEE-HKN Outstanding Young Electrical Engineer Award, the 2014 and 2015 IEEE Region 5 Outstanding Professional Achievement Awards, and the 2015 Best Ph.D. student award in the Department of Electrical and Computer Engineering at Texas A&M University. In 2015 and 2016, he was also selected among the World Top 20 Young Scholars for Next Generation of Research in Electric Power Systems. The scope of research at the GW Smart Grid Lab, for which Dr. Dehghanian is the director, extends from equipment and sensors data analytics to expansive and interconnected energy landscape. The lab incorporates interdisciplinary perspectives from fields as diverse as electric power engineering, machine learning, data sciences, as well as advanced optimizations to develop next-generation algorithmic and human-in-the-loop solution technologies and decision-making paradigms. The scope of our research aims to address various multi-dimensional challenges in different time scales before, during and following disasters in order to safeguard the infrastructure, mission-critical services, and human well-being. We strive to inclusively collaborate with researchers in various fields and from diverse backgrounds to enhance the ways in which we think, design, plan, operate, and control the smart electricity grid and the energy infrastructure for enriched resilience.

Research Areas

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