Shamanth Kuthpadi
skuthpadi[at]umass[dot]edu
edge cloud continuum, real-time inference, causal inference, machine learning, academic porfolio, CV
About Me
I am a computer science graduate student (first year PhD) at the Manning College of Information and Computer Sciences in UMass Amherst. I am fortunate enough to be advised by Prof. Deepak Ganesan.
My research interests lie in developing end-to-end machine learning pipelines that can be leveraged for impactful advancements in healthcare. The hope is that, by doing so, I can help optimize healthcare outcomes and ultimately compute for the common good. I also have a keen interest in designing these ML pipelines in an explainable and interpretable way (whenever possible).
In the near past, I also enjoyed being a part-time research intern at IOMICS Corporation under Dr. Daniel D. Corkill, and was advised by Prof. Cameron Musco at UMass Amherst.
News
September 2026: Completed the NSF I-Corps (national team level) alongside Prof. Ganesan, Dr. Xingda Chen, and Anthony Durante.
June 2026: Motion Robust Biosignal Monitoring paper accepted to Advanced Healthcare Materials.
January 2026: VYRE paper was accepted to Sensys26.
January 2025: PhD mentor for COMPSCI 698DS.
January 2025: Submitted Hallucination Detection-Guided Preference Optimization for Clinical Summarization to ACL ARR 2026.
November 2025: Admitted to UMass Amherst to pursue a PhD in Computer Science under the supervision of Dr. Deepak Ganesan. I would like to firstly thank my parents for supporting me through this journey and I would also like to thank Prof. Ganesan for taking a chance on me. Special thanks to Dr. Daniel D. Corkill and Prof. Cameron Musco for their supervision through the procedure as well.
August 2025: Finally “finished” creating my personal website.
February 2025: Working under the supervision of Prof. Deepak Ganesan and with Wireless and Sensor Systems Lab to create a multi-modal system for real-time 3D facial animation from physiological signals.
January 2025: Working with Mendel.ai to mitigate hallucinations in clinical summarization using synthetic data generation and preference tuning.
January 2025: Starting my Master’s in Computer Science at the University of Massachusetts Amherst
December 2024: Graduated with a Bachelor’s degree in Computer Science from the University of Massachusetts Amherst
September 2024: Began my Independent Study in modeling and analyzing structural brain connectomes under the supervision of Cameron Musco
June 2024: Started working as a Machine Learning Research Intern at IOMICS Corporation
September 2021: Started my undergraduate degree in Computer Science at the University of Massachusetts Amherst
Publications
VYRE: Low-Burden and Robust Oscillometric Ring-Based System for Frequent Blood Pressure Monitoring
ACM, SenSys26
Self-Maintaining Electrode–Skin Interface for Motion-Robust Biosignal Monitoring
Advanced Healthcare Materials
Preprints
Multimodal Music Recommendation System using LLMs
arXiv
Hallucination Detection-Guided Preference Optimization for Clinical Summarization
arXiv