Ricky J. Sethi

Ricky J. Sethi
Institutions USC Information Sciences Institute
University of California, Los Angeles
University of California, Riverside
Alma mater University of California, Riverside
University of Southern California
University of California, Berkeley

Ricky J. Sethi is Director of Research[1] for The Madsci Network[2] and was appointed as a National Science Foundation (NSF) Computing Innovation Fellow[3][4] by the Computing Community Consortium and the Computing Research Association. He has contributed significantly in the fields of machine learning, computer vision, social computing, and science education/eLearning. He has authored or co-authored over 30 peer-reviewed papers and book chapters[5] and made numerous presentations on his research. He has taught various courses in computer science, physics, and general science.[6][7] He was also the Lead Integration Scientist for the WASA [8][9] project, supported by the NSF and ONR, as well as part of the UCR DARPA VIRAT program. He was the Local Organizing Chair for the ACM International Conference on Intelligent User Interfaces,[10][11] a member of IEEE,[12] and the Associate Editor-in-Chief for the Journal of Postdoctoral Research.[13]

Education

Sethi received his B.S. in physics and neurobiology from the University of California, Berkeley, his M.S. in physics/information systems from the University of Southern California, and his Ph.D. in artificial intelligence from the University of California, Riverside. He was a postdoc at the University of California, Riverside and was later appointed a Computing Innovation Fellow at UCLA/USC Information Sciences Institute.

Publications

A Baram‐Tsabari, RJ Sethi, L Bry, A Yarden, Using questions sent to an Ask‐A‐Scientist site to identify children's interests in science, Science Education 90 (6), 1050-1072, 2006

A Baram‐Tsabari, RJ Sethi, L Bry, A Yarden, Asking scientists: a decade of questions analyzed by age, gender, and country, Science Education 93 (1), 131-160, 2009

RJ Sethi, AK Roy-Chowdhury, Activity recognition by integrating the physics of motion with a neuromorphic model of perception, Motion and Video Computing, 2009

References

  1. Madsci Research
  2. Madsci Network Info Page
  3. UCR News Article
  4. CCC CIFellows Press Release
  5. Google Scholar Page
  6. Rate My Professor Page
  7. Home Page
  8. WASA/Wide Area Tracking Book
  9. Engineering Times Article
  10. IUI Chairs
  11. ACM IUI Chair
  12. IEEE Member Notation
  13. JPR Board
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