Healthcare

Margrét Bjanadóttir

Margrét Bjanadóttir

Prof. Bjarnadottirs's research focuses on operations research methods building on large scale data. Her work spans applications ranging from analyzing nation-wide cross-ownership patterns and systemic risk in finance to prediction modeling, drug surveillance and practice patterns in health care. Dr. Bjarnadóttir has consulted and worked for a number of health care start-ups, the parliamentary appointed Special Investigation Commission into the Banking Crash in Iceland as well as the Central Bank of Iceland where she focused on capital control fraud detection in the post-crash era.

K. Selcuk Candan, Center Director, ASU Site Director

K. Selcuk Candan, Center Director, ASU Site Director

Prof. Candan’s primary research interests are in the area of efficient and scalable management and analysis of heterogeneous (such as sensed and streaming media, web and social media, scientific, and enterprise) data and data clouds.  He is a founding member of ASU’s Information Assurance Center and a senior sustainability scientist at ASU’s Global Institute of Sustainability (GIOS), one of whose missions is to connect researchers with businesses and industry. He has served as a Visiting Scientist at NEC for ~10 years and had collaborations with IBM, HP, JCI, Early Warning, Telecom Italia, and RAI Labs among others. He has 10 patents.  He is a member of the Executive Committee of the ACM Special Interest Group on Management of Data (SIGMOD).

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.

Hanghang Tong

Hanghang Tong

Prof. Tong's research interest is in large scale data mining for graphs and multimedia, with applications to social networks analysis, healthcare, cyber-security and e-commerce. He has published over 80 referred articles and more than 20 patents. He is the associated editor of ACM SIGKDD Explorations and has served as a program committee member in top data mining, databases and artificial intelligence venues. Before joining ASU, he was a research staff menber at IBM T.J Watson Research Center.