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Jeff Edmonds

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Jeff Edmonds
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Jeff Edmonds is a Canadian and American mathematician and computer scientist specializing in computational complexity theory.

Quick Facts Born, Nationality ...
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Academic career

Edmonds received his Bachelors at Waterloo in 1987 and his Ph.D. in 1993 at University of Toronto. His thesis proved lower bounds on time-space tradeoffs. He did his post-doctorate work at the ICSI in Berkeley on secure data transmission over networks for multi-media applications. He joined Department of EECS at Lassonde School of Engineering York University in 1995.[1][2]

Research

Edmonds' research interests include complexity theory, scheduling, proof systems, probability theory, combinatorics and machine learning.

Personal life

Edmonds is the son of another mathematician, Jack Edmonds.

See also

Selected publications

  • Chattopadhyay, Arkadev; Edmonds, Jeff; Ellen, Faith; Pitassi, Toniann (2016), "Upper and Lower Bounds on the Power of Advice", SIAM Journal on Computing, 45 (4): 1412–1432, doi:10.1137/15M1031862.
  • Leung, Chan; Edmonds, Jeff; Pruhs, Kirk (2011), "Speed Scaling of Processes with Arbitrary Speedup Curves on a Multiprocessor", Theory of Computing Systems, 49 (4): 817–833, doi:10.1007/s00224-011-9349-0.
  • Edmonds, Jeff; Sidiropoulos, Anastasios; Zouzias, Anastasios (2010), "Inapproximability for Planar Embedding Problems", Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 222–235, doi:10.1137/1.9781611973075.20, ISBN 978-0-89871-701-3.
  • Edmonds, Jeff; Poon, Chung Keung; Achlioptas, Dimitris (1999), "Tight Lower Bounds for st-Connectivity on the NNJAG Model", SIAM Journal on Computing, 28 (6): 2257–2284, doi:10.1137/S0097539795295948.
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References

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