Bio

Dr. Hans Riess is a faculty research scientist and principal investigator 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 member of the Decision and Control Lab (DCL) and the Control, Optimization, and Robotics Engineering (CORE) Lab. 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 faculty research scientist and principal investigator 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 member of the Decision and Control Lab (DCL) and the Control, Optimization, and Robotics Engineering (CORE) Lab. 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.

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Hans Riess

Research Scientist II
Decision and Control Laboratory
School of Electrical & Computer Engineering
College of Engineering
Georgia Institute of Technology

Address

Office 440A
Tech Square Research Building
85 5th St NW
Atlanta, Georgia 30332
United States of America

Contact

riess@gatech.edu