I am H.M. Shadman Tabib. I graduated in June 2026 with a B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). I am an incoming Ph.D. student at the Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign (UIUC), starting August 2026.
Research Focus
My research interests lie at the intersection of health AI, computer vision, and computational biology. I am passionate about developing innovative machine learning solutions for biological and medical challenges:
Health AI
Medical imaging for cancer detection, multimodal and semi-supervised learning, brain-computer
interfaces (epilepsy), and bias-aware clinical decision support.
Computer Vision
Unsupervised detection and segmentation, bioimage segmentation, foundation-model-based visual
understanding, and real-time detection systems.
Computational Biology
Cryo-ET image analysis, connectomics segmentation, RNA task accuracy estimation, and
unsupervised structure recovery from noisy biological data.
Machine Learning Foundations
Contextualized ML systems, interpretable AI, and LLM-based synthetic data evaluation.
International Collaborations
I am currently collaborating with leading research groups on cutting-edge projects:
- Carnegie Mellon University (Dr. Min Xu) — Cryo-electron tomography segmentation and macromolecule localization
- University of Wisconsin–Madison (Dr. Ben Lengerich) — Contextualized machine learning and interpretability
Recognition & Impact
Awards & Achievements
- Global Champion — Johns Hopkins Healthcare Design Competition 2025 (Team NeoScreenix), 1st among 440+ global teams
- Global 2nd Runner-up — IEEE SPS Video & Image Processing Cup 2025
- Global Finalist — Bradford Quantum Hackathon 2025 (Team NeuroCat)
- Dean's & University Merit Scholarships — BUET (CGPA 3.88/4.00)
- 13+ Publications — CVPR, NeurIPS Workshops, Briefings in Bioinformatics, IJNLC, and more (18 citations on Google Scholar)
Entrepreneurship
- Co-Founder & Head of Research — PinkLifeLine (Health-tech startup funded by Bangladesh ICT Division)
- Leading a network of 50+ medical professionals
- Developing AI-powered clinical screening pipelines
Looking Ahead
In August 2026, I begin my Ph.D. at the Siebel School of Computing and Data Science, UIUC, continuing my research in Health AI, Computer Vision, and Computational Biology. My long-term goal is to build interpretable, fair, and contextual machine learning systems that address real-world challenges in health and scientific discovery.