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Ricky J. Sethi

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Professor of Computer Science, Fitchburg State University

Ricky J. Sethi is currently a Professor of Computer Science at Fitchburg State University. Ricky is also Director of Research for the Madsci Network, an Adjunct Professor at Worcester Polytechnic Institute (WPI), and a SME Team Lead for SNHU Online at Southern New Hampshire University.

Prior to FSU, he was a Research Scientist at UMass Amherst/UMass Medical School and at UCLA/USC Information Sciences Institute, where he was chosen as an NSF Computing Innovation Fellow (CIFellow) by the CCC and the CRA. Before that, he was a Post-Doctoral Scholar at UCR, where he was the Lead Integration Scientist for the WASA project and participated in ONR's Empire Challenge 10.

Ricky has authored or co-authored over 30 peer-reviewed papers, book chapters, and reports and made numerous presentations on his research in machine learning, computer vision, social computing, and data science. He has taught various courses in Computer Science, Physics, and General Science. Ricky has also supervised/mentored undergraduate students, graduate students, and postdoctoral students at UCLA, USC, and UMass.

Ricky has served as a Panelist for several NSF programs, as an Associate Editor for Frontiers in Artificial Intelligence, as an Editorial Board Member for the International Journal of Computer Vision & Signal Processing, and a Program Committee member for various conferences. In addition, he is a member of the YSP/Madsci Financial Board, a member of the American Institute of Physics, and a member of IEEE.

Experience

  • –present
    Assistant Professor of Computer Science, Fitchburg State University
  • 2022–present
    Adjunct professor, Worcester Polytechnic Institute
  • 2022–present
    Professor, Fitchburg State University

Education

  • 2009 
    University of California, Riverside, PhD
  • 2001 
    University of Southern California, MS
  • 1996 
    University of California, Berkeley, BA

Grants and Contracts

  • 2017
    Structured Discussions and Scientific Workflows for Data Analysis
    Role:
    PI
    Funding Source:
    Amazon
  • 2016
    Cybersecurity
    Role:
    PI
    Funding Source:
    National Science Foundation
  • 2016
    Scientific Workflows, Image Analysis, and Visual Stylometry in the Digital Analysis of Art
    Role:
    Co-PI
    Funding Source:
    National Endowment for the Humanities
  • 2010
    Machine Learning Framework for Social Computing and Collective Intelligence
    Role:
    PI
    Funding Source:
    National Science Foundation