Research opportunities for admitted graduate students
I am supervising graduate students working on topics related to machine learning and combinatorial optimization. The goal is to develop algorithms that adaptively solve problems with either multiple agents working cooperatively, or in the presence of adversarial agents working competitively. Application areas include ad-hoc networks, scheduling of parallel computers, and clustering.

If you are interested in working on a project related to these topics, put a copy of your resume in my mailbox in 440 Dana. Note that I am not able to support new students.