Associate Professor of Information Sciences and Technology
Ph.D. in Information Systems, National University of Singapore, Singapore, 2001-2005
Certificate in Fashion Design, Nanyang Academy of Fine Arts, Singapore, 2003-2005
Dr. Heng Xu teaches courses on security and risk analysis, integration of privacy and security, human information behavior, and organizational informatics. Her research themes emerge from her interests in the fields of information privacy, data analytics, information systems, human-computer interaction, social psychology and public policy. She continuously strives to increase the impact of her work in these fields through crafting of insightful research questions, to address how factors related to technological change (e.g., big data) and societal trends (e.g., smart city) are combining to shape new sociotechnical systems and their implications.
She has authored or co-authored over 100 research papers on information privacy, security management, human-computer interaction, and technology innovation adoption. Her award winning work has been published in prestigious outlets, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, University of Pennsylvania Journal of Constitutional Law, Proceedings of the International World Wide Web Conference (WWW), Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), and many others.
She has been a recipient of an NSF Career award (2010) and the endowed PNC Technologies Career Development Professorship (2010-2013). She has received a number of best paper nominations and awards at leading conferences such as CSCW (Best Paper Honorable Mention Award 2015), CHI (Best Paper Award 2015; Best Paper Honorable Mention Award 2014 & 2013), International Conference on Electronic Commerce (Best Paper Nominee 2012), International Conference on Information Systems (Best Theme Paper runner-up in ICIS 2003, and Best Doctoral Dissertation runner-up in ICIS 2006), and others.
During 2013-2016, Dr. Xu served as a program director for several interdisciplinary research programs at the U.S. National Science Foundation (NSF). Much of her work at NSF focused on bringing the social, behavioral and economic sciences to studies of major challenges in Big Data, Cybersecurity & Privacy, and Smart Cities.
FAR -- Fashion Analytics Research: Understanding fashion trends via a data analytics approach is challenging because different stakeholders may have different interpretations of trends. When data scientists work on trend analysis, they concentrate on technical mechanisms that fashion designers never care about. When fashion designers work on trend analysis, they see fashionable nuances that everyday people ignore. When everyday people talk about fashion trends, they see wearable design elements that fashion designers do not. This line of research is designed to integrate these different perspectives in the fields of data analytics, fashion design, and consumer behavior to better understand and predict fashion trends. Currently the FAR group is exploring the following three topics:
SELECTED JOURNAL PUBLICATIONS
SELECTED CONFERENCE PROCEEDINGS (Recent 3 years)