Michael Allen Langston is a professor of electrical engineering and computer science at the University of Tennessee.[1] In several publications with Michael Fellows in the late 1980s, he showed that the Robertson–Seymour theorem could be used to prove the existence of a polynomial-time algorithm for problems such as linkless embedding without allowing the algorithm itself to be explicitly constructed;[2][3] this work was foundational to the field of parameterized complexity.[4] He has also collaborated with scientists at Oak Ridge National Laboratory on the computational analysis of genomics data and reconstruction of gene regulatory networks.[5][6]

Langston received his doctorate (PhD) in 1981 at Texas A&M University in computing science.[1] His dissertation was Processor scheduling with improved heuristic algorithms.[7] He worked at Washington State University, the University of Illinois, and the University of Maryland Global Campus Europe before taking his present position at the University of Tennessee.[5] He has also served in the United States Army as a paratrooper and officer in the 17th Cavalry Regiment and as personnel database manager for VII Corps.[8]

His honors include the Commendation Medal, U.S. Army, 1979; the Distinguished Teaching Award, Texas A&M University, 1981;[5] the Distinguished Service Prize, ACM Special Interest Group on Algorithms and Computation Theory, 2001;[9] and the Chancellor's Award for Research and Creative Achievement, University of Tennessee, 1994[5] and 2014.

References

  1. 1 2 "Michael Langston". People. University of Tennessee Min H. Kao Department of Electrical Engineering and Computer Science. 9 January 2020. Retrieved 2021-09-24.
  2. ↑ Cygan, Marek; Fomin, Fedor V.; Kowalik, Łukasz; Lokshtanov, Daniel; Marx, Dániel; Pilipczuk, Marcin; Pilipczuk, Michał; Saket, Saurabh (2015). Parameterized Algorithms. Springer. pp. 143–144. doi:10.1007/978-3-319-21275-3. ISBN 978-3-319-21274-6. MR 3380745. S2CID 19436693.
  3. ↑ Flum, Jörg; Grohe, Martin (2006). Parameterized Complexity Theory. Springer. p. 299. doi:10.1007/3-540-29953-X. ISBN 978-3-540-29952-3.
  4. ↑ Cygan et al. (2015), p. v.
  5. 1 2 3 4 Womac, Amanda (Spring 2008). "Faculty focus: Dr. Michael Langston" (PDF). Tennessee Engineer. Tickle College of Engineering, University of Tennessee. pp. 3, 5.
  6. ↑ "First, the Questions: Tough scientific questions drive systems biology research at ORNL" (PDF). Oak Ridge National Laboratory Review. Vol. 3, no. 4. 2004. pp. 4–5.
  7. ↑ Langston, Michael Allen (1981). Processor scheduling with improved heuristic algorithms (Doctoral dissertation). Texas A&M University. hdl:1969.1/DISSERTATIONS-647904.
  8. ↑ Langston, Michael. "Biographical data". University of Tennessee. Retrieved September 24, 2021.
  9. ↑ "SIGACT Distinguished Service Prize". Association for Computing Machinery. Retrieved 24 September 2021.


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