Heng Huang

Professor
3238 Iribe Center
Education: 
Ph.D., Dartmouth College (Computer Science)
Biography: 

Heng Huang is the inaugural Brendan Iribe Endowed Professor in Computer Science. He is also a member in the Center for Bioinformatics and Computational Biology.

Huang’s research touches on many aspects of computer science, including machine learning, artificial intelligence (AI), data mining, biomedical data science, computational neuroscience, and smart health care.

He was the first researcher to propose theoretically guaranteed algorithms for breaking backward locking in backpropagation, which plays a central role in optimizing deep learning models. Huang also pioneered research on asynchronous distributed learning, federated learning, and multimodal imaging-omics data integration.

Before coming to UMD, he was the John A. Jurenko Endowed Professor in Computer Engineering at the University of Pittsburgh. Prior to this role, Huang was a Distinguished University Professor in Computer Science at the University of Texas at Arlington from 2007 to 2017.

He was named a Fellow of the American Institute for Medical and Biological Engineering in 2019 and has led multiple AI and computational health projects funded by the National Science Foundation and the National Institutes of Health.

Huang has also contributed nearly 300 articles to top-tier computer science conferences and published more than 100 papers in peer-reviewed journals.

He received his doctoral degree in computer science from Dartmouth College.

Go here to view Huang’s academic publications on Google Scholar.