CCEB Seminar- Heng Huang, PhD

Large-Scale Nonlinear Machine Learning: AI Meets HealthHeng Huang, PhDJohn A. Jurenko Endowed Professor University of Pittsburgh Medical Center Dr. Heng Huang is John A. Jurenko Endowed Professor in Electrical and Computer Engineering at University of Pittsburgh, and also Professor in Biomedical Informatics at University of Pittsburgh Medical Center. Dr. Huang received the PhD degree in Computer Science at Dartmouth College. His research areas include machine learning, big data mining, medical image analysis, system biology, smart and connected health, neuroengineering, and precision medicine. Dr. Huang has published more than 220 papers in top-tier conferences and many papers in premium journals, such as NeurIPS, ICML, KDD, RECOMB, ISMB, ICCV, CVPR, IJCAI, AAAI, IPMI, MICCAI, Bioinformatics, Medical Image Analysis, Neurobiology of Aging, IEEE TMI, TKDE, TNNLS, etc. Based on csrankings.org, for the last ten years, Dr. Huang is ranked 3rd among researchers who published most top CS conference papers. As PI, Dr. Huang currently is leading an NIH R01 and multiple (7 as PI and 3 as Co-PI) NSF funded projects on machine learning, neuroimaging, big data computation, precision medicine, electronic medical record data analysis and privacy-preserving, smart healthcare, and cyber physical system. Dr. Huang serves as the Program Chair of ACM SIGKDD Conference 2020.