Welcome to the Computational Media Lab

Welcome to our website. 

We are a group of people who are interested in computational methods for learning from big multimedia data and for high performance retrieval of big multimedia data. Our current data sources are medical video, social network data, and government data.

Want to know more? See our project pages or contact us. Read more about

Recent News

August 1, 2020

The project "Evaluation of Deep Quantification Network" by Michael Davis (SE major) and Karthik Subbarao (ComS major) under supervision of Prof.

July 29, 2020

Tavanapong presented a talk on January 24 on "Dependable Machine Learning: Training Data Quality and Interpretability" at Oslo-Met, Oslo, Norway.

July 29, 2020

Tavanapong and PrattĀ reported the technical challenges, solutions, and lessons learned from deploying real-time feedback systems in three hospitals as part of a multi-center controlled clinical trial to improve quality of colonoscopy.