Professor, PhD. Regina Barzilay, Massachusetts Institute of Technology, U.S.A

Regina Barzilay is a professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Barzilay's research on natural languages focuses on the development of models of natural language, and uses those models to solve real-world language processing tasks. Her research in computational linguistics deals with multilingual learning, interpreting text for solving control problems, and finding document-level structure within text.
She is a recipient of various awards including of the NSF Career Award, the MIT Technology Review TR-35 Award, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL. She received her Ph.D. in Computer Science from Columbia University, and spent a year as a postdoc at Cornell University

Professor, PhD. Jiawei Han, University of Illinois, U.S.A

Dr. Jiawei Han is Abel Bliss Professor in the Department of Computer Science at the University of Illinois. He has been researching into data mining, information network analysis, and database systems, with over 700 publications. He served as the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD). Dr. Han has received ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), and Daniel C. Drucker Eminent Faculty Award at UIUC (2011). He is a Fellow of ACM and Fellow of IEEE. His co-authored textbook "Data Mining: Concepts and Techniques" (Morgan Kaufmann) has been adopted worldwide.
Dr. Han is currently the co-Director of KnowEnG, a Center of Excellence in Big Data Computing, funded by NIH Big Data to Knowledge (BD2K) Initiative. He also served in 2009-2016 as the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab.

Professor, M.D, PhD. Mark A. Musen, Stanford University, U.S.A

Dr. Musen is Professor of Biomedical Informatics and of Biomedical Data Science at Stanford University, where he is Director of the Stanford Center for Biomedical Informatics Research. Dr. Musen conducts research related to intelligent systems, reusable ontologies, metadata for publication of scientific data sets, and biomedical decision support. His group developed Protégé, the world's most widely used technology for building and managing terminologies and ontologies. He is principal investigator of the National Center for Biomedical Ontology, one of the original National Centers for Biomedical Computing created by the U.S. National Institutes of Heath (NIH). He is principal investigator of the Center for Expanded Data Annotation and Retrieval (CEDAR). CEDAR is a center of excellence supported by the NIH Big Data to Knowledge Initiative, with the goal of developing new technology to ease the authoring and management of biomedical experimental metadata.
Dr. Musen directs the World Health Organization Collaborating Center for Classification, Terminology, and Standards at Stanford University, which has developed much of the information infrastructure for the authoring and management of the 11th edition of the International Classification of Diseases (ICD-11). Dr. Musen was the recipient of the Donald A. B. Lindberg Award for Innovation in Informatics from the American Medical Informatics Association in 2006. He has been elected to the American College of Medical Informatics, the Association of American Physicians, and the National Academy of Medicine. He is founding co-editor-in-chief of the journal Applied Ontology.

Professor, PhD. Ravi Kumar, Google, U.S.A

Dr. Ravi Kumar has been a senior staff research scientist at Google since 2012. Prior to this, he was a research staff member at the IBM Almaden Research Center and a principal research scientist at Yahoo! Research. Dr. Ravi Kumar obtained his PhD in Computer Science from Cornell University. His research interests include Web search and data mining, algorithms for massive data, and the theory of computation.

Professor, PhD. Clement Jonquet, University of Montpellier, France

Dr. Clement Jonquet is assistant professor at University of Montpellier, France and since Sept. 2015 visiting scholar at the Stanford University. He is a researcher at the Laboratory of Informatics, Robotics, and Microelectronics of Montpellier (LIRMM), on (biomedical/agronomical) ontologies, semantic data indexing and annotation, semantic Web, text mining, knowledge representation.
Dr. Jonquet obtained his PhD in Informatics from the same university in 2006 (about multi-agent systems, grid and service-oriented computing), then he served as a postdoc for 3 years at the Stanford BMIR within Pr. Mark A. Musen's group where he was working on semantic annotations of biomedical data using biomedical ontologies in the context of the National Center for Biomedical Ontology (NCBO) project. He contributed actively to the design, evolution and development of the NCBO BioPortal and won the 1st prize at ISWC Semantic Web Challenge 2010.