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Daniel Molzahn joined the faculty of the School of Electrical and Computer Engineering at Georgia Tech in Spring 2019. Prior to his current position, he served as a computational engineer at Argonne National Laboratory in the Center for Energy, Environmental, and Economic Systems Analysis. He also held a Dow Postdoctoral Fellowship in Sustainability at the University of Michigan, where he engaged in research across Electrical Engineering and Computer Science. He has received several recognitions including the National Science Foundation Graduate Research Fellowship while completing his degrees at the University of Wisconsin-Madison. His research focuses on developing optimization control algorithms to enhance environmental sustainability, economic efficiency, and the reliability of electric power systems. He aims to address non-linearities in power flow equations and develop mathematically rigorous techniques to incorporate uncertainties related to renewable generation and varying load demands. Molzahn has been actively involved in professional organizations, serving as vice-chair of the technical program committee for the Power Systems Computation Conference and acting as a guest associate editor for a special issue on distributed control optimization in IEEE Transactions on Smart Grid. He has received awards for his contributions in the field, including the 'High Quality Paper' Award at IEEE PowerTech Manchester 2017, and a 'Best Presentation Session' Award at the American Control Conference 2016.
Department of Computer Science: GRE scores are optional for Fall 2026.