Daqing He is an associate professor at the School of Information Sciences (iSchool), and associate professor at the Intelligent Systems Program, both of which are at the University of Pittsburgh. He earned his Ph.D. degree in artificial intelligence from the University of Edinburgh, Scotland. Prior joining the University of Pittsburgh in 2004, he served on the research faculties of the Robert Gordon University, Scotland and the University of Maryland at College Park, College Park, MD. His main research interests cover information retrieval (monolingual and multilingual), information access on the social web, adaptive web systems and user modeling, interactive retrieval interface design, web log mining and analysis, and research data management. Dr. He has been the Principal Investigator (PI) and Co-PI for more than ten research projects, funded by the National Science Foundation (NSF), United States Defense Advanced Research Projects Agency (DARPA), University of Pittsburgh, and otheragencies. He has published more than 120 articles in internationally recognized journals and conferences in these areas, which include Journal of Association for Information Science and Technology, Information Processing and Management, ACM Transaction on Information Systems, Journal of Information Science, ACM SIGIR, CIKM, WWW, CSCW, and so on. Dr. He has served as a member on the program committees for more than 30 major international conferences in the area of information retrieval and web technologies, and has been called upon to be a reviewer for many top-ranked international journals in the same areas. He services on the editorial board of SCI/SSCI indexed journals Internet Research and Aslib Journal of Information Management. WeiJeng is a Ph.D. student in the School of Information Sciences (iSchool) at the University of Pittsburgh. Her research explores how people share information, data, and resources in the digital age. Given the increasing need in academic communities to manage a huge amount of data, her longterm research goal is to provide insights on improving research infrastructure for scholars in all disciplines, particularly social sciences, humanities, and related scholarly communities.
