Md Abdur Rahaman

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I am a Ph.D. candidate in the School of Computational Science and Engineering at Georgia Tech and advised by Professor Vince D. Calhoun. I design computational (AI/ML/statistical) models to learn insights from extensive datasets ‑ imaging, text, medical informatics, and time series. My research interests include Multi-modal Foundation Models, Reinforcement Learning from Human Feedback (RLHF), Health AI, and Biclustering.

I’ve experience in AI deployment in real-world settings - a federated multi-modal framework for disease screening from neuroimages, genetics, and electronic health records; an LLM-log model to automate IT ticket routing from the ticket description and machine log at NOKIA BELL LABS (internship).

I am looking for a full-time position starting in Spring 2025.

news

Apr 14, 2024 My paper has been accepted at the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, to be held in Orlando, Florida, USA, July 15-19, 2024
Apr 10, 2024 My paper titled A Deep Biclustering Framework for Brain Network Analysis published in the Workshop on CVPR 2024 Domain Adaptation, Explainability, Fairness in AI for Medical Image Analysis in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), held in Seattle, WA, 17-21 June, 2024.