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.

Ricky J. Sethi is currently an Associate Professor of Computer Science at Fitchburg State University, Director of Research for The Madsci Network, and Team Lead for SNHU Online.

Curriculum Vitae (CV)

Profile Summary

  • Affiliations:
    • Fitchburg State University
    • The Madsci Network
    • 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 and reproducibility via semantic workflows
    • Computer Vision
      Group analysis in video using physics-based, machine learning models