Welcome to my home page!!!

I am a Ph.D. candidate in Computer Science at P.C. Rossin College of Engineering and Applied Science, Lehigh University, where I am advised by Dr. Brian D. Davison. My research interests lie in applied machine learning, computer vision, image processing, and data science. Currently, I am exploring into developing efficient and fast foundation models for computer vision applications on Edge devices. Since 2022, I have been collaborating with Lenovo Research on overall image enhancements and generative AI based restorations on edge devices targeting improvements in model speed, robustness and image quality.

I have a strong background in AGI (Artificial General Intelligence), with a Master of Science (M.S.) and Bachelor of Science (B.S.) degrees in Computer Science from Lehigh University and Rajiv Gandhi Proudyogiki Vishwavidyalaya, respectively.

I'm always up for a challenge and love working with others to solve problems. If you have an exciting project that you think I'd be a good fit for, please don't hesitate to reach out.

“Try to learn something about everything and everything about something” – Thomas Henry Huxley

News 📣

• [06.2024] Our paper Unified-EGformer got accepted in ICPR 2024.
• [07.2024] Our paper BiomedGPT got accepted in Nature Medicine, 2024.
• [06.2024] Our paper ExpoMamba got accepted in ICML Efficient Systems for Foundation Models, 2024.
• [06.2024] Joining Motorola’s Computational Photography team at Lenovo Research for Generative AI based research.
• [05.2024] I will be serving as a reviewer for ICML ES-FoMo-II 2024 and CIKM 2024.
• [12.2023] We released a new survey on Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts!
• [05.2023] The first preprint of BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks is released. Journal print soon to be released!
• [03.2023] Served as a reviewer for PeerJ.
• [01.2023] Joined Lenovo Research, Mobile Technology Innovation (MTI) Lab’s Computer Vision team work on developing AI models for Thinkpad camera lighting enhancements.
• [11.2021] Paper from my internship at Berkeley Lab won the Best Paper Award in SC2021.

Currently reviewing: ICLR 2025, Pattern Recognition 2024, WACV (Emergency) 2025
Previously reviewed papers at: Big Data, SIGIR, WSDM, ICML, CIKM, PeerJ.