 |
Elliot Anshelevich, Design and
analysis of algorithms, especially for large decentralized networks. Strategic
agents in networks and algorithmic game theory; approximation algorithms. |
|
Sanmay Das,
Machine learning; computational finance and economics; multi-agent systems;
information retrieval and biomedical informatics. |
|
Petros Drineas, Design
and analysis of algorithms; randomized and approximate algorithms; data
mining. |
|
W. Randolph Franklin |
|
Mark Goldberg,
Experimental design and analysis of algorithms; machine learning,
bioinformatics; combinatorics. |
|
S. Mukkai Krishnamoorthy,
Design and analysis of algorithms; programming environments; internet
performance and visualization; compiler design. |
|
Malik Magdon-Ismail, Theory,
algorithms, and applications of computational learning systems; computational
finances; bioinformatics. |
|
Robert McNaughton,
Automata theory; formal languages; combinatorics of words. |
|
Dave Musser, Programming
methodology; generic software libraries; proof-carrying code and code-carrying
proofs. |
|
Bulent Yener, Design and
analysis of network protocols and algorithms, combinatorial optimization,
approximation algorithms. |
