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Payman Dehghanian
Also published under:P. Dehghanian
Affiliation
Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Topic
Power System,Mixed Integer Linear Programming,Power Grid,Wind Power,Distributed Energy Resources,Objective Function,Optimal Model,Convolutional Neural Network,Energy Storage Systems,Load Shedding,Test System,Distribution Network,Electric Power,Microgrid,Operational Costs,Power Distribution System,Power Outages,Distribution System,Distribution System Operator,Power Generation,State Of Charge,Stochastic Model,Wind Turbine,Electric Power System,Neural Network,Optimal Schedule,Power Demand,Power Distribution Network,Power Network,Renewable Energy,Smart Grid,Total Operating Cost,Transmission Line,Wind Farm,Correction Process,Deep Learning,Electric Vehicles,Energy Management,Energy System,Energy Trading,Greenhouse Gas,Mixed Integer Linear Programming Model,Mixed-integer Nonlinear Programming,Natural Gas,Operating System,Optimization Problem,Photovoltaic Power,Power Flow Equations,Power Line,Power Utility,
Biography
Payman Dehghanian (Senior Member, IEEE) received the B.Sc. degree from the University of Tehran, Tehran, Iran, in 2009, the M.Sc. degree from Sharif University of Technology, Tehran, Iran, in 2011, and the Ph.D. degree from Texas A&M University, College Station, TX, USA in 2017, all in electrical engineering.
He is currently an Assistant Professor with the Department of Electrical and Computer Engineering in George Washington University, Washington, DC, USA. His research interests include power system online situational awareness, real-time decision making, power system reliability and resiliency, asset management, and smart electricity grid applications.
Dr. Dehghanian is the recipient of the 2013 IEEE Iran Section Best M.Sc. Thesis Award in Electrical Engineering, the 2014 and 2015 IEEE Region five Outstanding Professional Achievement Awards, and the 2015 IEEE-HKN Outstanding Young Professional Award.
He is currently an Assistant Professor with the Department of Electrical and Computer Engineering in George Washington University, Washington, DC, USA. His research interests include power system online situational awareness, real-time decision making, power system reliability and resiliency, asset management, and smart electricity grid applications.
Dr. Dehghanian is the recipient of the 2013 IEEE Iran Section Best M.Sc. Thesis Award in Electrical Engineering, the 2014 and 2015 IEEE Region five Outstanding Professional Achievement Awards, and the 2015 IEEE-HKN Outstanding Young Professional Award.