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Speakers


Lawrence Carin, Duke University LC

Dr. Lawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University, where he is now a Professor. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke's Vice President for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin's research focuses on Machine Learning (ML), Artificial Intelligence (AI) and Applied Statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML. He is an IEEE Fellow.

 

HHHeng Huang, University of Pittsburgh

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, and biomedical data science. Dr. Huang has published more than 220 papers in top-tier conferences and many papers in premium journals, such as ICML, NeurIPS, KDD, RECOMB, ISMB, ICCV, CVPR, IJCAI, AAAI, Nature Machine Intelligence, Nucleic Acids Research, Bioinformatics, Medical Image Analysis, Neurobiology of Aging, IEEE TMI, TKDE, etc. Based on csrankings.org, for the last ten years, Dr. Huang is ranked 3rd among researchers who published most top computer science conference papers. As PI, Dr. Huang currently is leading NIH R01, U01, and multiple NSF funded projects on machine learning, neuroimaging, precision medicine, electronic medical record data analysis and privacy-preserving, smart healthcare, and cyber physical system. Over the past 13 years, Dr. Huang received more than $34,000,000 research funding. He is a Fellow of AIBME and serves as the Program Chair of ACM SIGKDD Conference 2020.

 

YNWYing Nian Wu, University of California, Los Angeles

Dr. Ying Nian Wu is currently a professor in the Department of Statistics, UCLA. He received his A.M. degree and Ph.D. degree in statistics from Harvard University in 1994 and 1996 respectively. He was an assistant professor in Department of Statistics, University of Michigan from 1997 to 1999. He joined UCLA in 1999. He has been a full professor since 2006. Wu’s research areas include Generative Modeling, Representation Learning, Unsupervised Learning, Computer Vision, Computational Neuroscience, and Bioinformatics.

 

Ruslan Salakhutdinov, Carnegie Mellon UniversityRS

Dr. Ruslan Salakhutdinov is a UPMC professor of Computer Science in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. He received his M.S. degree and Ph.D. degree both in Computer Science from the University of Toronto in 2003 and 2009 respectively. He works in the field of statistical machine learning. His research interests include Deep Learning, Probabilistic Graphical Models, and Large-scale Optimization. He has received numerous awards including Google Focused Award, Microsoft Research Faculty Fellowship, and Sloan Research Fellowship.

 

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