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Garrison Cottrell
OccupationsComputer Scientist, academic, author and researcher
Academic background
EducationB.S., Mathematics and Sociology
M.A.T., Mathematics Education
M.S., Computer Science
Ph.D., Computer Science
Alma materCornell University
University of Rochester
Academic advisors
James F. Allen
David Rumelhart
Academic work
InstitutionsUniversity of California, San Diego
Notable students
Christopher Kanan

Garrison Cottrell is an American cognitive scientist, computer scientist, academic, author and researcher. He is a Professor with an appointment in Computer Science and Engineering at the University of California, San Diego.[1]

Cottrell’s research falls into areas encompassing artificial intelligence, neural networks, and cognitive science. He has authored over 200 academic papers.[2]


Education

Cottrell received his Bachelor's degree in Mathematics and Sociology as well as an M.A.T. in Mathematics Education from Cornell University.[3] He then earned an M.S. and Ph.D. in Computer Science at the University of Rochester where he was advised by James F. Allen.[4] After he completed his Ph.D., he was a postdoctoral scholar with David Rumelhart.[5]


Career

Following his post-doctoral fellowship, Cottrell joined the Computer Science and Engineering department at the University of California, San Diego as an Assistant Professor. He was promoted to Full Professor in 1997. Since 2000, he has served as the Director of the university's Interdisciplinary Ph.D. Program in Cognitive Science.[6]


Research

Cottrell has worked throughout his career to advance research in artificial neural networks. Beyond neural networks, he has done extensive work to study how people choose what to view in scenes with saccadic eye movements.


Selected articles

  • Dollár, P., Rabaud, V., Cottrell, G. and Belongie, S., 2005, October. Behavior recognition via sparse spatio-temporal features. In 2005 IEEE international workshop on visual surveillance and performance evaluation of tracking and surveillance (pp. 65-72). IEEE.
  • Zhang, L., Tong, M.H., Marks, T.K., Shan, H. and Cottrell, G.W., 2008. SUN: A Bayesian framework for saliency using natural statistics. Journal of vision, 8(7), pp.32-32.
  • Qin, Y., Song, D., Chen, H., Cheng, W., Jiang, G. and Cottrell, G., 2017. A dual-stage attention-based recurrent neural network for time series prediction. arXiv preprint arXiv:1704.02971.
  • Valentin, D., Abdi, H., O'Toole, A.J. and Cottrell, G.W., 1994. Connectionist models of face processing: A survey. Pattern recognition, 27(9), pp.1209-1230.
  • DeMers, D. and Cottrell, G., 1992. Non-linear dimensionality reduction. Advances in neural information processing systems, 5.
  • Cottrell, G.W., 1988. Image compression by back-propagation: An example of extensional programming. Advances in cognitive science, 3, pp.208-240.


References

  1. ^ "Garrison Cottrell - University of California, San Diego".
  2. ^ "Garrison Cottrell, Ph.D. - Neurotree".
  3. ^ "Garrison Cottrell = CV" (PDF).
  4. ^ "Garrison Cottrell = CV" (PDF).
  5. ^ "Garrison Cottrell, Ph.D. - Neurotree".
  6. ^ "Garrison Cottrell - University of California, San Diego".



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