Alan Kuhnle
Assistant Professor, Computer Science & Engineering, Texas A&M University
Contact: kuhnle at tamu.edu
About
I am an Assistant Professor of Computer Science & Engineering at Texas A&M University. My research develops scalable algorithms for submodular optimization with provable performance guarantees, and applies them to problems in data pruning, multi-agent coordination, and environmental monitoring. We work across theory (streaming/parallel algorithms, approximation guarantees) and applications, with publications at venues including NeurIPS, ICML, AAAI, AISTATS, KDD, and JAIR.
Current projects:
- Scalable algorithms for submodular optimization: streaming and parallel methods with near-optimal approximation guarantees
- Data pruning for combinatorial optimization: reducing ground sets while provably preserving solution quality
- Applied ML for environmental monitoring: recreational fishing detection from satellite and mobility data (with NOAA & LGL)
- Multi-agent coordination: cooperative game theory and decentralized policies for submodular team objectives
For more information, see the research page, group members, publications, and the blog.