Tan-Hanh Pham

Tan-Hanh Pham

I have been working as a postdoctoral researcher at Harvard Medical School and Massachusetts General Hospital since June 2025, where I focus application of AI in medical image analysis.

I earned my Ph.D. in Robotics and Deep Learning from the Florida Institute of Technology, USA, in May 2025. Prior to that, I was a research assistant at the Bioinspired System Laboratory after completing my M.Sc. in Smart Vehicle Engineering at Konkuk University, South Korea, in May 2022. I received my B.Sc. in Mechanical Engineering from HCMUTE, Vietnam, in 2019.

CV / Google Scholar / GitHub

Tan-Hanh Pham, Research Fellow
Mass General Hospital, Harvard Medical School

Research Interests

My current research focus reasoning multimodal models, 3D/4D medical image analysis, image/video understanding through vision-language models, and RL for Robotics.

I am open to collaborations on AI-related projects. If you're interested, feel free to contact me.

Selected Publications

✨ [June 2025] Pham, T.H., and Ngo, C., 2025. RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints.

✨ [CVPR 2025] Pham, T.H., Bui, T.D., Quang, M.L., Pham, T.H., Ngo, C., and Hy, T.S., 2025. 🌟 SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging. In Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 2984–2994. 2025.

✨ [May 2025] Pham, T.H., PV Nguyen, DT Hung, BT Duong, VN Thanh, C Ngo, TQ Truong, and TS Hy, 2025. IQBench: How "Smart'' Are Vision-Language Models? A Study with Human IQ Tests.

✨ [ACL 2025] Khai Le-Duc, Phuc Phan, Tan-Hanh Pham, Bach Phan Tat, Minh-Huong Ngo, Truong-Son Hy, 2025. MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics.

✨ [Jan. 2025] Pham, T.H., Burgers, T.A., and Nguyen, K.D., 2025. Enhanced Droplet Analysis Using Generative Adversarial Networks. Computers and Electronics in Agriculture, 231, p.109922. DOI

✨ [Oct. 2024] Pham, T.H., Aikins G., Truong T., and Nguyen, K.D., 2024. Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning. Algorithms, 17(10):436. DOI

✨ [Sep. 2024] Pham, T.H., Li X., and Nguyen, K.D., 2024. Seunet-trans: A simple yet effective unet-transformer model for medical image segmentation. IEEE Access, 12, pp. 122139-122154. DOI

✨ [Jan. 2024] Pham, T.H., Acharya, P., Bachina, S., Osterloh, K. and Nguyen, K.D., 2024. Deep-learning framework for optimal selection of soil sampling sites. Computers and Electronics in Agriculture, 217, p.108650. DOI

✨ [Jan. 2023] Pham, T.H., Nguyen, K. and Park, H.C., 2023. A robotic fish capable of fast underwater swimming and water leaping with high Froude number. Ocean Engineering, 268, p.113512.DOI