Daniel K. Molzahn

Daniel Molzahn Picture

I am an assistant professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology working on electric power systems. I also hold an affiliate appointment as a computational engineer in the Energy Systems Division at Argonne National Laboratory, where I was a research staff member from 2015 through 2018. I completed the Ph.D. degree in Electrical Engineering from the University of Wisconsin-Madison in 2013 and the Dow postdoctoral fellowship at the University of Michigan in 2015. My research interests focus on developing optimization and control algorithms to improve the reliability, resiliency, and efficiency of electric power systems.

Contact Information

Research Interests

My research develops new optimization and control algorithms to improve the reliability, resiliency, and efficiency of electric power systems. This research includes methods for addressing nonlinearities associated with the power flow equations while mitigating the impacts of uncertainty.

Education

University of Michigan
  • Dow Postdoctoral Fellowship, Department of Electrical Engineering and Computer Science (2015)
University of Wisconsin-Madison
  • Ph.D. Electrical Engineering (2013)
  • Master's of Public Affairs (2012)
  • Master's of Electrical Engineering (2010)
  • Energy Analysis and Policy Graduate Certificate (2010)
  • Bachelor's of Science with majors in Electrical Engineering and Mathematics (highest distinction honors) (2008)

Recent News

  • February 12, 2020: The GO-SNIP Team composed of Frank Curtis (Lehigh University), Andreas Wächter, Ermin Wei, Ruby Tushen (Northwestern), Elizabeth Wong (UCSD), and Daniel Molzahn (Georgia Tech) finished second overall in the Department of Energy's Grid Optimization Competition Challenge 1.