Yingying Chen

Yingying (Jennifer) Chen is Professor of Electrical and Computer Engineering at Rutgers University and a member of the Wireless Information Network Laboratory (WINLAB). Her background is a combination of Physics, Computer Science and Computer Engineering. Her research interests include Mobile Healthcare, Internet of Things (IoT), Cyber Security and Privacy, Connected Vehicles, Mobile Computing and Sensing. She has co-authored two books Securing Emerging Wireless Systems (Springer 2009) and Pervasive Wireless Environments: Detecting and Localizing User Spoofing (Springer 2014), and published over 100 journal articles and referred conference papers.

Previously, she was a tenured professor in the Department of Electrical and Computer Engineering (ECE) at Stevens Institute of Technology. She received early promotion twice at Stevens: from Assistant to Associate Professor, and from Associate to Full Professor. She led the Data Analysis and Information Security (DAISY) Lab, an inter-disciplinary research group working on a diverse set of projects using machine learning and data mining techniques. She was also the Graduate Program Directors of Information and Data Engineering (IDE) and Networked Information Systems (NIS) in ECE Department at Stevens. She was a visiting professor at Princeton University. Prior to joining Stevens, she was with Alcatel – Lucent (now Nokia) working on research, design, and development in network and security systems, network management standards, and system performance modeling and analysis.

She served for many conference organizations. She was the General Co-chair of ACM MobiCom 2016 – a prestigious conference in mobile computing, and the Technical Program Co-chair of IEEE CNS 2016 – a top tier computer and network security conference. She also serves as an Area Chair of IEEE INFOCOM. She has served on the technical program committees of numerous ACM and IEEE conferences and on the editorial boards of the journals IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, and IEEE Network Magazine. Her research has been reported in numerous media outlets including the Wall Street Journal, MIT Technology Review, CNN, Fox News Channel, IEEE Spectrum, Fortune, Inside Science, NPR, Tonight Show with Jay Leno and Voice of America TV.

•    Smart Healthcare
•    Internet of Things (IoT)
•    Cyber Security and Privacy
•    Large-scale Sensing Data Analysis
•    Connected Vehicles
•    Mobile Computing and Sensing

Selected Awards:

•    Best Paper Award, IEEE International Conference on Sensing, Communication and Networking (SECON), 2017.
•    Henry Morton Distinguished Teaching Professor Award, Stevens Institute of Technology, 2017.
•    Best Paper Award, ACM Symposium on Information, Computer and Communications Security (ASIACCS), 2016.
•    Best Paper Award, IEEE Conference on Communications and Network Security (IEEE CNS), 2014.
•    Best Paper Runner-Up, IEEE Conference on Communications and Network Security (IEEE CNS), 2013.
•    Jess Davis Memorial Award for Research Excellence from Stevens, 2013
•    Spotlight Paper of the September 2012 issue of the IEEE Transactions on Mobile Computing, 2012.
•    New Jersey Inventors Hall of Fame Innovator Award, 2012
•    Best Paper Award, ACM International Conference on Mobile Computing and Networking (MobiCom), 2011
•    Stevens Board of Trustees Award for Scholarly Excellence, 2010
•    National Science Foundation CAREER Award, 2010
•    Google Faculty Research Award, 2010
•    Best Paper Award, Sixth International Conference on Wireless On-demand Network Systems and Services (WONS), 2009
•    Best Technological Innovation Award, Third International TinyOS Technology Exchange, 2006
•    IEEE Outstanding Contribution Award from IEEE NJ Coast Section, 2005 - 2009
•    Best Paper Award, International Conference on Wireless On-demand Network Systems and Services (WONS), 2009.
•    Best Technological Innovation Award, Third International TinyOS Technology Exchange, 2006.
•    Bell Labs Software Excellence Award, Lucent Technologies, 2004.

• Ph.D., Computer Science, Rutgers, the State University of New Jersey, 2007