Ricky Sethi

Ph.D., University of California, Riverside (Computer Science (Artificial Intelligence))
M.S., University of Southern California (Physics/Business (Information Systems))
B.A., University of California, Berkeley (Molecular and Cellular Biology (Neurobiology))

My research uses fundamental ideas from machine learning and computational science to study crowds in video and online communities. I develop theoretical and applied models and algorithms to examine problems in:

Computer Vision: physics-based methods for group analysis in video
Data Science: bioinformatics and semantic workflows for multimedia analysis
Social Computing: virtual communities and science learning group collaboration

Computer Vison

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

Social Computing for Science Learning

Collaborative Argumentation
Threaded Discussion Metrics and Analysis
Question & Answer Online Communities

Data Science

Multimedia Analysis for Human Trafficking Detection
Machine Learning Methods for Data Analysis using Semantic Workflows
Reproducibility via Semantic Workflows

Ph.D., University of California, Riverside (Computer Science (Artificial Intelligence))
M.S., University of Southern California (Physics/Business (Information Systems))
B.A., University of California, Berkeley (Molecular and Cellular Biology (Neurobiology))

Ph.D., University of California, Riverside (Computer Science (Artificial Intelligence))
M.S., University of Southern California (Physics/Business (Information Systems))
B.A., University of California, Berkeley (Molecular and Cellular Biology (Neurobiology))