Indian Institute of Science, Bangalore.
Narahari got his B.E. from Department of Electrical Communication Engineering in 1982, M.E. and Phd from Department of Computer Science and Automation in 1984 and 1987 respectively. In February 1988, he joined as the faculty of the Department of Computer Science and Automation and was Chair of the department during January 2010 – July 2014. He was the Dean of the Division of EECS (Electrical, Electronics, and Computer Sciences) from August 2014 to July 2021. He was also chairing the Office of DIGITS (Digital Campus and Informational Technology Services) from January 2016 to August 2020. During 1992, he was a Post-Doctoral Researcher at the Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, USA and during 1997, he was a Visiting Scientist on sabbatical at the National Institute of Standards and Technology, Gaithersberg, Maryland, USA.
The focus of Narahari’s current research is to apply game theory, mechanism design, and machine learning to research problems at the interface of computer science and economics. In particular, he is interested in algorithmic game theory, design of auctions and electronic markets, dynamic mechanisms with learning, crowdsourcing , online education, social network analysis, and blockchains.
University at Buffalo.
Sharman's research is focused on extreme events from a decision-support system perspective and on health information technology-related issues. This includes factors influencing online health information search, meaningful use of ambulatory EMR, resilience in hospital information systems, health information exchanges, health care social networks as well as a simulation based study for managing the hospital's emergency room capacity in extreme events, active shooter incidents and mass casualty event management.
His expertise also includes information systems infrastructure management as it relates to information assurance, internet performance and distributed computing. Sharman's papers have been published in a number of national and international journals, and he is the recipient of several grants from the university as well as external agencies, including the National Science Foundation.
He serves as an associate editor for the following journals: Journal of Information Systems Security, Journal of Information Privacy and Security, and Springer Security Informatics Journal.
Shenzhen University, China.
Philippe Fournier-Viger is distinguished professor at the Shenzhen University (China). He obtained his Ph.D at University of Quebec in Montreal (Canada) in 2010. After working as post-doctoral researcher at National Cheng Kung University, and being a faculty member at University of Moncton, he came to China in 2015 and became full professor at the Harbin Institute of Technology (Shenzhen). There, he received a title of national talent from the National Science Foundation of China. His interests are data mining, algorithm design, pattern mining, sequence mining, big data, and applications. He has published more than 340 research papers related to data mining, intelligent systems and applications, which have received more than 8500 citations (H-Index 46). He is associate editor-in-chief of the Applied Intelligence journal (SCI, Q1) and editor-in-chief of Data Science and Pattern Recognition. He is the founder of the popular SPMF data mining library, offering more than 200 algorithms for analyzing data, cited in more than 1,000 research papers. He is a co-founder of the UDML, MLiSE and PMDB series of workshops held at the ICDM, PKDD, KDD and DASFAA conferences.