Hans Riess is a Research Scientist in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Hans' research leverages category theory and algebraic topology to drive innovations in multi-agent systems, optimization, and artificial intelligence. At Georgia Tech, he was recently awarded a DARPA ARC grant for his research project "Sheaf Enriched Autonomous Multi-Agent Networks." He is a also member of the Control, Optimization, and Robotics Engineering (CORE) Lab, a lab directed by Dr. Matthew Hale whose activities range from soldering robots to category theory. Hans earned his B.S. in Mathematics from Duke University in 2016 and his Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2022, where he specialized in applied sheaf theory under the guidance of Professor Robert Ghrist. Before joining the research faculty at Georgia Tech, he was a Postdoctoral Associate at Duke University where he worked on data-driven methods in the Autonomous Systems Lab.
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.
" The purpose of sheaf theory is quite general: it is to obtain global information from local information, or else to define “obstructions” which characterize the fact that a local property does not hold globally any more. "
" I must study politics and war, that our sons may have liberty to study mathematics and philosophy. "
" The beauty of mathematics is that you can change the problem and the rules as you wish. "
Office 440A
Tech Square Research Building
85 5th St NW
Atlanta, Georgia 30332
United States of America
riess@gatech.edu