Nathan Dahlin
Scholar

Nathan Dahlin

Google Scholar ID: P-06EZkAAAAJ
University at Albany, State University of New York
Reinforcement LearningEnergy MarketsControl TheoryGame Theory
Citations & Impact
All-time
Citations
106
 
H-index
6
 
i10-index
4
 
Publications
20
 
Co-authors
0
 
Contact
Resume (English only)
Academic Achievements
  • Ph.D. thesis explored the application of game theory, mechanism design, stochastic optimization, and risk modeling to electricity markets featuring integration of renewable and distributed energy resources.
Research Experience
  • Postdoctoral Research Associate at the University of Illinois at Urbana-Champaign from September 2021 to July 2023, advised by Prof. Subhonmesh Bose; previously a research assistant in the Stochastic Systems & Learning Laboratory (S²L) at USC, working with Prof. Rahul Jain; worked as a Research and Development Engineer at Audyssey Laboratories from 2008 to 2015.
Education
  • Completed Ph.D. from USC in 2021 with a thesis titled 'Smarter Markets for a Smarter Grid: Pricing Randomness, Flexibility and Risk'; obtained M.S. in Electrical Engineering and M.A. in Applied Mathematics from USC in 2020; B.S. in Electrical Engineering from USC in 2008.
Background
  • Currently an Assistant Professor in ECE at the University at Albany, SUNY. Research interests include control, game theory, stochastic optimization, and reinforcement learning. Current focuses are on market and mechanism design for smart energy systems, non-stationary and multi-agent reinforcement learning, and interpretable AI.
Miscellany
  • Seeking highly motivated graduate students and researchers to join his team.
Co-authors
0 total
Co-authors: 0 (list not available)