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