Heng Huang

Heng Huang is the John A. Jurenko Endowed Professor at the University of Pittsburgh with dual appointments in the Department of Electrical and Computer Engineering and Department of Biomedical Informatics. His research spans machine learning, bioinformatics, and medical image analysis with significant contributions to Alzheimer's disease research, neuroinformatics, and precision medicine.

His educational background includes a Ph.D. in Computer Science from Dartmouth College and M.S./B.S. degrees from Shanghai Jiao Tong University.

Research focuses on Machine Learning, Big Data Computing, and Biomedical Informatics with emphasis on:

• Neurodegenerative disease prediction through transferable deep networks
• Medical image analysis for macular degeneration and Alzheimer's
• Watermarking techniques for LLM security and protein design
• Optimization methods for non-convex problems

Recent publications show strong trends in multimodal learning (TV-LSTM, MIRROR), LLM security (CoTGuard, Web IP protection), and biomedical applications (Alzheimer's classification, single-cell analysis).

He actively mentors students including Yanfu Zhang (recent tenure-track appointment at William & Mary) and seeks new PhD candidates/postdocs for research in big data, machine learning, and biomedical image analysis.

His lab maintains active participation in top conferences including ICML, CVPR, NeurIPS, and MICCAI as evidenced by consistent paper acceptances (3 at ICML 2023, 5 at AAAI 2023).