Machine learning

Jingrui He

Jingrui He

Prof.  He's research interests include rare category analysis and heterogeneous machine learning with applications in social media analysis, healthcare, semiconductor manufacturing, traffic prediction. She is the recipient of the 2014 IBM Faculty Award and has published more than 40 referred articles. She is the author of the book on Analysis of Rare categories (Springer-Verlag, 2011) and has served on the organizing/senior program committees of many top-tier conferences, including ICML, KDD, IJCAI, ICDM, and SDM.

Baoxin Li

Baoxin Li

Prof. Li's research research focuses on image and video processing, computer vision, statistical inference and multimedia content indexing and analysis, with applications to visual computing for people with visual impairment, medical image analysis, and vision based robotics. Prior to joining ASU he was a Senior Researcher with SHARP Laboratories of America.

Shawn Mankad, UMD Site co-Director

Shawn Mankad, UMD Site co-Director

Prof. Mankad's research focuses on using data analytics to facilitate better decision-making. Specifically, he aims to create and apply data mining, machine learning, and visualization for financial and economic modeling with unstructured and complex structured data. He was a consultant with the U.S. Commodity Futures Trading Commission and also worked at the Federal Reserve Board on characterizing market activity with visual analytic tools. 

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