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energy systems analysis; grid decarbonization; modeling, control and optimization for electric power systems

mechanical engineering, statistical thermodynamics, near-interface micro- and nanoscale thermophysics and transport in liquid-vapor systems, computational modeling and simulation of energy conversion and transport processes at scales ranging from the molecular level to the device and system level, use of machine learning to enhance energy technology research and the efficiency of energy conversion and transport in applications, and use of machine learning to create next-generation energy technologies that autonomously adapt to maximize their performance and reduce their environmental impact .

control theory, optimization, power systems

economics, algorithms, financial engineering, risk management, planning, optimization, operation of electric power systems, market based coordination of network systems, trading instruments