Scholar

Amar Kumar

Google Scholar ID: mpaggKMAAAAJ

McGill University

Probabilistic Computer VisionDeep Learning

Citations & Impact

All-time

Citations

486

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Published 'PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion', accepted to MIDL 2025 with an oral presentation and runner-up for Best Oral Paper Award; Co-authored another work on controlled guidance towards diverse medical image generation using reinforcement learning.

Research Experience

Senior Research Analyst at a Hedge Fund in India; Research Intern at the University of Victoria, Canada; Research Intern at TIFR, India.

Education

PhD Candidate, McGill University, Montreal, Canada; M.Eng. (Thesis), 2019, McGill University, Montreal, Canada; Bachelor of Technology (B.Tech), 2016, Indian Institute of Technology Delhi, India.

Background

Research interests include Foundation Models, Generative Modeling, Fairness and Bias in Deep Learning, Explainable AI (XAI), Medical Image Analysis, and Computer Vision. His primary research objective is to address real-world challenges such as bias mitigation in deep learning models. Additionally, he explores how generative AI can enhance medical imaging techniques.

Co-authors

12 total