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ESE Ph.D. Thesis Defense: “Lattice Theory in Multi-Agent Systems”
September 26, 2022 at 2:00 PM - 3:30 PM
ESE Ph.D. Candidate
Hans Riess was born and raised in Bloomington, Indiana. He attended Duke University and graduated with a Bachelor’s in Mathematics in 2016. In 2017, he joined the Department of Electrical Systems Engineering at the University of Pennsylvania as a doctoral candidate under the supervision of Robert Ghrist. At Penn, he was a recipient of the Ganster Fellowship as well as the Legget Family Endowed Fellowship. At various conferences and workshops, Hans has presented on a diversity of topics from control theory and machine learning to algebraic topology and lattice theory. Hans has also presented to panels of military and civilian personnel as a participant in grants funded by the Undersecretary for Research and Engineering and the Defense Advanced Research Projects Agency (DARPA). Hans’ specific research interests include topological data analysis, geometric deep learning, and formal methods in robotics. He has refereed articles for SIAM and IEEE journals, and, since 2017, has served on the Duke Alumni Admissions Advisory Committee. Hans will be beginning a postdoc at Duke University in November.