Artificial Intelligence at Skidmore College
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AI Publications and Presentations
Research in artificial intelligence by Skidmore faculty and students, most recent first.
Fall 2026
Professor Wenlu Du
co-authored
“Incorporating Realistic Margin Constraints: A Data-Driven Deep Reinforcement Learning Framework for Advanced Portfolio Management”
, published in IEEE Transactions on Knowledge and Data Engineering (TKDE).
Spring 2026
Josh Feldman, Class of 2026, advised by
Professor Mike Eckmann
, won first prize in the
CCSC NE
Undergraduate Research Competition.
Fall 2025
Professor Tom O'Connell
was part of a team from the
Basis Research Institute
that presented a paper at the
NeurIPS 2025 Workshop on Data on the Brain and Mind
titled
Inferring cognitive strategies from groups of animals in natural environments
.
Spring 2025
Professor Wenlu Du
co-authored two papers:
“PairUpLight: A Multi-agent Reinforcement Learning Approach for Coordinated Multi-intersection Traffic Signal Control”
, published in the IEEE International Conference on Distributed Computing Systems (ICDCS ’25).
“RAGIC: Risk-Aware Generative Framework for Stock Interval Construction”
, published in IEEE Transactions on Knowledge and Data Engineering (TKDE ’25).
Fall 2024
Professor Anthony Ashmore
co-authored
“Deep learning lattice gauge theories”
, published in Physical Review B.