Hang Cai
Education:
Worcester Polytechnic Institute, Master of Science in Electrical & Computer Engineering. 2013
Northwestern Polytechnical University 2010
Hang Cai, a PhD candidate in the Computer Science department of Worcester Polytechnic Institute. His research interests includes wearable systems, network security, biological signal processing and machine learning.
Office Location
Fuller Laboratories B17
Contact
Research Lab
Awards
Travel Grant for Smart Health Systems and Applications 2014
Research Interests
Research Interests:
Security in body area networks
Biosignal processing
Machine learning
Scholarly Work
Scholarly Work:
Hang Cai, Krishna K. Venkatasubramanian. “Fusion of Electrocardiogram and Arterial Blood Pressure Signals for Authentication in Wearable Medical Systems”, 2016 International Workshop on Cyber-Physical Systems Security (CPS-Sec), Philadelphia, October 2016
M.Leonard,HangCai,K.K.Venkatasubramanian,M.M.Ali,andT.Eisenbarth.“A Honeypot System for Wearable Networks”,37th IEEE Sarno Symposium, Newark, NJ, September, 2016
Hang Cai, Krishna K. Venkatasubramanian. “Detecting Signal Injection Attack-based Morphological Alternations of ECG Measurement”, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2016), Washington D.C, May 2016
Andrzejewski, Kelly L., Hang Cai, et al. “Wearable Sensors in Huntington Disease: a Pilot Study”, Journal of Huntington's Disease (2016)
Hang Cai, Krishna K. Venkatasubramanian. “Detecting Malicious Temporal Alterations of ECG signals in Body Sensor Networks”, IEEE International Conference on Network and System Security (NSS 2015), New York, NY, November 2015.
Hang Cai, Krishna K. Venkatasubramanian. “Poster: Detecting Malicious Morphological Alterations of ECG Signals in Body Sensor Networks”, ACM International Conference on Information Processing in Sensor Networks (IPSN 2015), Seattle, WA, April 2015
Junjie Gu, Hang Cai and Joseph E. Beck. “Investigate Performance of Expected Maximization on the Knowledge Tracing Model”, in 12th International Conference on Intelligent Tutoring Systems, June 7-9, 2014, Honolulu, Hawaii.