Jiawei Han

Professor, Univ. of Illinois at Urbana-Champaign, USA

Jiawei Han is a professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign and an affiliate faculty member in the Beckman Institute Image Formation and Processing group. His recent research interests include data mining, data warehousing, stream data mining, spatiotemporal and multimedia data mining, biological data mining, social network analysis, text and Web mining, and software bug mining, with over 300 conference and journal publications. He has chaired or served in many program committees of international conferences and workshops, including ACM SIGKDD Conferences (2001 best paper award chair, 1996 PC co-chair), SIAM-Data Mining Conferences (2001 and 2002 PC co-chair), ACM SIGMOD Conferences (2000 exhibit program chair), International Conferences on Data Engineering (2004 and 2002 PC vice-chair), and International Conferences on Data Mining (2005 PC co-chair). He also served or is serving on the editorial boards for Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Journal of Computer Science and Technology, and Journal of Intelligent Information Systems. He is currently serving as founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD), and on the Board of Directors for the Executive Committee of ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD). His book "Data Mining: Concepts and Techniques" (Morgan Kaufmann) has been used popularly as a textbook.

Ramana V Davuluri

Professor, Northwestern University Chicago, IL, USA

Dr. Ramana obtained his Ph.D. from Indian Agricultural Statistics Research Institute, Statistics in 1996. Currently, he is working as a Professor of Preventive Medicine - Health and Biomedical Informatics Northwestern University - Feinberg School of Medicine, Chicago, IL, USA. His Research in the lab focuses on developing data-mining algorithms and informatics solutions for problems in biology and medicine. The overarching goal of the lab is to translate Big Data from high dimensional (comic) platforms (e.g., NextGen sequencing) to derive experimentally interpretable and testable discovery models towards genomics-based clinical decision support systems for personalized cancer therapy. They are developing clinically useful diagnostic tools for identification of subsets of brain tumor patients who may benefit from therapeutic intervention and guide the understanding of drug activity in patient tumors. Towards these goals, they apply a combination of state-of-the-art statistically rigorous data-mining methods and NextGen sequencing based experimental procedures in a systems biology setting.

Huixiao Hong

Chief, Bioinformatics Branch, U.S. Food and Drug Administration.

Huixiao Hong received his Ph.D. from Nanjing University in China in 1990 and conducted post-doctoral research at Maxwell Institute in Leeds University in England in 1990-1992. He was an Associate Professor and the Director of Laboratory of Computational Chemistry at Nanjing University in China in 1992-1995. He was a visiting scientist at the National Cancer Institute (NCI) at National Institutes of Health (NIH) in 1995-1998. Dr. Hong held a Research Scientist position at Sumitomo Chemical Company in Japan in 1998-2000. He was a senior computational scientist in ROW Science in 2000-2002. He was the Manager of Bioinformatics Division at Z-Tech, an ICFI company, at NCTR in 2002-2007. He was a Research Chemist in 2007-2018, and is now a Supervisory Research Chemist and the Chief of the Bioinformatics Branch in the Division of Bioinformatics and Biostatistics. He has more than 180 publications and has received many awards during his career.