Research Interests

My research uses fundamental ideas from machine learning and computational science to study crowds in videos and online communities. I develop theoretical and applied models and algorithms to examine the formation of groups and the emergent properties that arise from crowd behaviour in the often inter-related fields of:

  • Social Computing: fact-checking misinformation and virtual communities for science learning
  • Data Science: scientific workflows for multimedia analysis in digital humanities and reproducibility
  • Computer Vision/Multimedia: physics-based methods for group analysis in video

Research Projects

My research projects tend to be inter-disciplinary in nature. I conduct research in machine learning, computer vision, social computing, and cyberlearning. I rely upon fundamental ideas from theoretical computational science to address significant research problems in these areas.

Some of these projects are:

  1. Social Computing
    1. Fact-Checking Misinformation and Collaborative Argumentation
    2. Question & Answer Online Communities
    3. Threaded Discussion Metrics and Analysis
  2. Data Science
    1. Scientific Workflows for Digital Humanities: WAIVS
    2. Machine Learning Methods for Data Analysis and Multimedia Analysis
    3. Reproducibility via Semantic Workflows
  3. Computer Vision/Multimedia
    1. Multimedia Integration via Data-Driven Hamiltonian Monte Carlo (DDHMC)
    2. Group Detection and Analysis in Video
    3. Human Action Image/Hamiltonian Energy Signatures for Video Activity Recognition


Ricky J. Sethi

    • Nota Bene: The first picture is from my wedding many years (and even more pounds) ago. I don't look like this anymore but I've learned in life that, once you find a good picture, you hang on to it forever. The second picture is a slightly more accurate one with a new friend I met on a recent trip to Zurich. The third picture is my reflection on the seriousness of life and existence itself, of course.

Curriculum Vitae (CV)

Profile Summary

  • Affiliations:
    • Fitchburg State University
    • Worcester Polytechnic Institute
    • Southern New Hampshire University
  • Education:
    • University of California, Berkeley
    • University of Southern California
    • University of California, Riverside
  • Field of Research:
    • Social Computing
      Fact-checking misinformation, virtual communities, and group collaboration for science learning
    • Data Science
      Multimedia analysis in digital humanities, deep learning for IR and XAI, and reproducibility via semantic workflows
    • Computer Vision
      Group analysis in video using physics-based, machine learning models