Areas of Interest
- Big Data Analytics
- Graph Theoretical Algorithms
- Life Science Applications
- Ph.D. in Computer Science, Texas A&M University, 1981
Dr. Langston’s current research interests include the analysis of algorithms, computational biology, discrete mathematics, fixed-parameter tractability, graph theory, optimization and parallel computation. He is perhaps best known for his long-standing work on combinatorial algorithms, complexity theory and design paradigms for sequential and parallel computation. In addition to maintaining his research program, he regularly teaches courses on algorithm design, automata theory, combinatorics, graph theory and related subjects.
He has authored over 400 journal articles, conference papers, book chapters and other reports. His work has been funded in the U.S. by the National Science Foundation, the National Institutes of Health, the Department of Defense, the Department of Energy and a variety of other state and federal agencies. He has been supported overseas by the Australian Research Council and the European Commission. He has served on an assortment of editorial boards, including the Association for Computing Machinery’s flagship publication, Communications of the ACM. Recent awards include the College of Engineering Faculty Research Fellow Award, 2012, and the University of Tennessee Chancellor’s Award for Research and Creative Achievement, 2014.