Carnegie Mellon University has a strong and diverse group in Algorithms and Complexity Theory. The goals of the group are, broadly speaking, to provide a mathematical understanding of fundamental issues in Computer Science, and to use this understanding to produce better algorithms, protocols, and systems, as well as identify the inherent limitations of efficient computation. Research interests include data structures, algorithm design, complexity theory, coding theory, parallel algorithms and languages, machine learning theory, cryptography and security, computational aspects of economics, online algorithms, and scientific computing.

Faculty working in this area:

Last Firstsort ascending Title Email
Wang Weina Assistant Professor
Goyal Vipul Associate Professor
Guruswami Venkatesan Director of Doctoral Programs, Professor
Acar Umut Associate Professor
Sandholm Tuomas Angel Jordan Professor of Computer Science
Rudich Steven Professor
O'Donnell Ryan Professor
Schwartz Russell Professor
Vinayak Rashmi Korlakai Assistant Professor
Balcan Nina Associate Professor
Shah Nihar Assistant Professor
Beckmann Nathan Assistant Professor
Harchol-Balter Mor Professor
Blum Manuel University Professor, Emeritus
Von Ahn Luis Consulting Professor
Yang Jean Assistant Professor
Blelloch Guy Professor, Assoc. Dean for Undergraduate Programs
Miller Gary Professor
Xing Eric P. Professor
Woodruff David Associate Professor
Sleator Daniel Professor
Haeupler Bernhard Associate Professor
Procaccia Ariel Associate Professor
Gupta Anupam Professor
Subscribe to Theory