Bio

Dr. Hans Riess is a mathematical engineer who currently serves as a Research Scientist in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Hans has established an independent research program which leverages category theory and algebraic topology to drive innovations in multi-agent systems, optimization, and artificial intelligence. At Georgia Tech, Hans works in the Control, Optimization, and Robotics Engineering (CORE) Lab, directed by Dr. Matthew Hale, which engages in research activities ranging from hands-on robotics to developing sophisticated mathematical optimization techniques. In 2016, Hans earned a B.S. in pure Mathematics from Duke University, where he completed the entire Ph.D.-level topology sequence. He later completed his Ph.D. in Electrical and Systems Engineering (ESE) at the University of Pennsylvania in 2022, working under the supervision of Professor Robert Ghrist to make advances in cellular sheaf theory. Following his doctorate, in 2022, he joined the Autonomous Systems Lab at Duke University, directed by Dr. Michael M. Zavlanos, and, in 2025, he joined the research faculty at the Georgia Tech.

Dr. Hans Riess is a Research Scientist in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he directs an independent research program. His work leverages category theory and algebraic topology to drive innovations in multi-agent systems, optimization, and artificial intelligence.