Yingying (Jennifer) Chen is a computer scientist whose research involves mobile computing, the internet of things, [1] the security implications of mobile sensor data, [2] [3] wearable technology, [3] [4] and activity trackers. [5] [6] She is a professor at Rutgers University, where she heads the Department of Electrical and Computer Engineering [7] and directs the Data Analysis and Information SecuritY (DAISY) Lab. [8]
Chen has a 2007 Ph.D. from Rutgers, [7] jointly supervised by Richard Martin and Wade Trappe. [9] Before returning to Rutgers as a faculty member, she worked for Alcatel-Lucent Enterprise and then as a professor at the Stevens Institute of Technology. [7]
Chen is the coauthor of books including:
Chen was named an IEEE Fellow, in the 2020 class of fellows, "for contributions to mobile computing and mobile security". [10] She was named as a fellow of the National Academy of Inventors in 2021. [11] She was named as an ACM Fellow, in the 2023 class of fellows, for "contributions to design and application of mobile sensing and mobile security systems". [12]
Yingying (Jennifer) Chen is a computer scientist whose research involves mobile computing, the internet of things, [1] the security implications of mobile sensor data, [2] [3] wearable technology, [3] [4] and activity trackers. [5] [6] She is a professor at Rutgers University, where she heads the Department of Electrical and Computer Engineering [7] and directs the Data Analysis and Information SecuritY (DAISY) Lab. [8]
Chen has a 2007 Ph.D. from Rutgers, [7] jointly supervised by Richard Martin and Wade Trappe. [9] Before returning to Rutgers as a faculty member, she worked for Alcatel-Lucent Enterprise and then as a professor at the Stevens Institute of Technology. [7]
Chen is the coauthor of books including:
Chen was named an IEEE Fellow, in the 2020 class of fellows, "for contributions to mobile computing and mobile security". [10] She was named as a fellow of the National Academy of Inventors in 2021. [11] She was named as an ACM Fellow, in the 2023 class of fellows, for "contributions to design and application of mobile sensing and mobile security systems". [12]