Pavan Kumar Sathya Venkatesh

I am a First year MSCS student at University of Massachusetts, Amherst. I did my Bachelors in Computer Science and Engineering at VIT University, Chennai, advised by Dr. Pandiyaraju V.

My research focuses on computer vision and medical imaging, where I develop deep learning methods for clinical diagnosis and decision support. I'm particularly interested in uncertainty quantification, multi-modal learning, and neural surface reconstruction.

Previously I interned as a backend developer at Prodapt Solutions Private Ltd. In the summer of 2024, I was an intern at MedxAI mentored by Dr. Susan Elias and Dr. Sheena Pravin.

Email  /  CV  /  Google Scholar  /  GitHub  /  LinkedIn

A progressive learning framework that leverages uncertainty quantification to guide the network's attention from global context to diagnostically ambiguous regions, enabling precise evidence-based classification in CT scans through adaptive feature refinement and multi-scale analysis.

A few-shot learning approach for plant disease detection that learns symptom-centric prototypical representations through uncertainty-aware optimization, enabling accurate disease classification from limited labeled examples in resource-constrained agricultural settings.

A cross-modal deception detection framework that constructs temporal graphs to model audio-visual interactions, capturing subtle discrepancies between verbal and non-verbal cues through graph attention mechanisms to identify deceptive behavior in court trials and game show scenarios.

Yep it's another Jon Barron website.
Last updated November 2024.