Faculty Directory

Education

• Ph.D. Electrical Engineering, Columbia University

Professional Memberships

• Institute of Electrical and Electronics Engineers (IEEE)
• Biomedical Engineering Society (BMES)
• Medical Image Computing and Computer Assisted Intervention (MICCAI)
• The International Society for Optics and Photnics (SPIE)
• Optica

Selected Honors and Awards

• 2024: Scialog Fellow
• 2024: Early Career Faculty Innovator, Northeast Bioengineering Conference
• 2023: NSF CAREER Award

Generative AI, Biomedical Imaging, Computer Vision, Image Processing, Machine Learning, Explainable AI, Food safety 

BIOE 442 – Introduction to Programming and Data Analysis Using Python 

H. Liu, Y. Zheng, B. Wu, Y. Gan. Objective Assessment of Medication Adherence Through Automated Pill Detection Using a Computer Vision Framework: Development and Evaluation Study. JMIR AI. 2026 Aug 18;5(1):e92528.

M. Ahmed , M. Babaei, N. Jeong, L. Kong L, Y. Gan. Hybrid Loss for Robust Ripeness Classification under Noisy Labels. Future Foods. 2026 Jun 27:101116.

X. Li, X. Hou, G. Allen, S. Guirguis, Y. Zhou, Z. Huang, Y. Gan. Diagnostic Report Generation via a ProActive Multimodal Agentic System. ACM Transactions on Computing for Healthcare. 2026.

Z. Hu, W. Luo, Y. Fu, Y. Gan, H. Zhang, Z. Huang. Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence. In Forty-third International Conference on Machine Learning (ICML). 2026.

Li, S. Shen, X. Hou, X. Gao, Z. Huang, S. Holiday, C. Matthew, S. White, E. Sazonov, and Y. Gan,“Screen detection from egocentric image streams leveraging multi-view vision language model,” IEEETransactions on Multimedia, 2025

X. Li, X. Hou, N Ravi, Z Huang, and Y. Gan, "A Two-Stage Proactive Dialogue Generator for Efficient Clinical Information Collection Using Large Language Model" , Expert System with Applications, 2025

S. Cao, J. Zhao, F. Hu, and Y. Gan, “Real-time, free-viewpoint holographic patient rendering fortelerehabilitation via a single camera: A data-driven approach with 3d gaussian splatting for real-world adaptation,” IEEE Transactions on Visualization and Computer Graphics, 2025

B. Miao, Z. Hu, R. Mezzadra, L. Hoeijmakers, A. Fauster, S. Du, Z. Yang, M. Sator-Schmitt, H. Engel,X. Li, C. Broderick, ..., Y. Gan, ..., and C. Sun, “CMTM6 shapes antitumor t cell response throughmodulating protein expression of CD58 and PD-L1,” Cancer Cell, 2023

Z. Huang, Y. Gan, T. Lye, Y. Liu, H. Zhang, A. Laine, E. Angelini, and C. Hendon, “Cardiac adiposetissue segmentation via image-level annotations,” IEEE Journal of Biomedical and Health Informatics,vol. 27, no. 6, pp. 2932–2943, 2023

S. Cao, M. Ko, C. Li, D. Brown, X. Wang, F. Hu, and Y. Gan, “Single-belt vs. split-belt: Intelligenttreadmill control via micro-phase gait capture for post-stroke rehabilitation,” IEEE Transactions onHuman-Machine Systems, vol. 53, no. 6, pp. 1006–1016, 2023

X. Li, S. Cao, H. Liu, X. Yao, B. C. Brott, S. H. Litovsky, X. Song, Y. Ling, and Y. Gan, “Multi-scalereconstruction of undersampled spectral-spatial oct data for coronary imaging using deep learning,”IEEE Transactions on Biomedical Engineering, vol. 69, no. 12, pp. 3667–3677, 2022

Z. Huang, Y. Gan, T. Lye, H. Zhang, A. Laine, E. D. Angelini, and C. Hendon, “Heterogeneity mea-surement of cardiac tissues leveraging uncertainty information from image segmentation,” in MedicalImage Computing and Computer Assisted Intervention (MICCAI) 2020