Summary
Debesh Jha is an Assistant Professor (Tenure Track) of Computer Science at the University of South Dakota who builds lightweight, energy-efficient deep learning models for real-time medical imaging applications, particularly in gastrointestinal, abdominal, and neuroimaging domains. With eight years of experience spanning PhD research in Norway to leadership roles at Northwestern Medicine, he has produced widely adopted open datasets and benchmarks (Kvasir-SEG, HyperKvasir, CirrMRI600+, KvasirCapsule) that helped standardize medical AI research and informed industry integrations like NVIDIA Clara. His work emphasizes trustworthy, open science and clinical translation, earning recognition including IEEE Chicago Junior R&D awards and Meta’s Paper with Code contributor award. Less obvious: he blends hands-on model engineering with practical deployment constraints—optimizing for energy and latency to enable real-time diagnostics rather than only pursuing state-of-the-art accuracy.
7 years of coding experience
8 years of employment as a software developer
Ph.D Candidate, Computer Science, Ph.D Candidate, Computer Science at UiT- The Arctic University of Norway
Master’s Degree, Information Technology, Master’s Degree, Information Technology at Chosun University
Northwestern University
Bachelor’s Degree, Electronics and Communication Engineering, Bachelor’s Degree, Electronics and Communication Engineering at Khwopa Engineering College (Purbanchal University)
+2, PHYSICAL SCIENCES, +2, PHYSICAL SCIENCES at Birat Science Campus
English, Nepali, Hindi, maithali, Korean, Urdu, Norwegian