Scholar
Hans Riess
Google Scholar ID: lkdryGgAAAAJ
Georgia Institute of Technology
Citations & Impact
Citations
173
H-index
7
i10-index
7
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple journal papers including in IEEE Transactions on Signal Processing, Homology, Homotopy and Applications, etc.; presented papers at various international conferences such as IEEE Conference on Decision and Control (CDC), American Control Conference (ACC), etc.
Research Experience
- Currently a faculty research scientist in the School of Electrical and Computer Engineering at the Georgia Institute of Technology; previously a Postdoctoral Associate at Duke University, working on data-driven methods in the Autonomous Systems Lab.
Education
- B.S. in Mathematics from Duke University in 2016; Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2022, specializing in applied sheaf theory under the guidance of Professor Robert Ghrist.
Background
- Research Interests: Leveraging category theory and algebraic topology for innovations in multi-agent systems, optimization, and artificial intelligence. Bio: Dr. Hans Riess is a faculty research scientist in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he directs an independent research program.
Co-authors