Thomas J. Watson Research Center, Yorktown Heights, NY USA
Dr. Zhen Wen is currently a research staff member at IBM T. J. Watson Research Center. He received his PhD from University of Illinois at Urbana-Champaign in Computer Science in 2004.
He is a co-PI of the Social Network Analytics Research in IBM T. J. Watson Research Center. He is leading both basic and applied research efforts on modeling human behavior in social networks, which is sponsored by various funding agencies including Army Research Lab Social and Cognitive Networks Academic Research Center. The research has also led to successful IBM product such as IBM Atlas. His past research at IBM includes context-sensitive visualization for visual analytics. Specifically, he has worked on generating visualization that is appropriate for user analytic tasks using contextual cues. His work has been used in a Department of Homeland Security project on monitoring and analyzing shipment through US Customs, as well as in a project on business intelligence (e.g., IBM Cognos).
Zhen Wen has broad interests in data mining, signal processing and human computer interaction with applications on social network analysis and multimedia analysis. He is an author of 80+ papers. Previously, Zhen's PhD thesis work was on tracking and classifying human identity and activities based on face appearance and motion. His ICCV 2003 paper was among of the early works that integrated geometric models and appearance model for facial expression analysis under diverse lighting conditions. The work received a Certificate of Appreciation from Army Research Lab in Fed Lab Symposium 2001.
He has been serving as organizing committee member, technical committee member at various IEEE/ACM conferences. He is an area chair of social media at ACM conference on Multimedia 2012. His work received 2011 Association of Information System ICIS Best Theme Paper Award, the best paper award at ACM Conference on Intelligent User Interfaces (IUI) 2005, an IBM Research division award in 2005, and an IBM invention achievement award in 2007, 2010 and 2011. Dr. Wen is a senior member of IEEE.