My current research interests include security and privacy in wireless network, Big Data, Internet of Things (IoTs), crowdsensing, eHealth/mHealth system, location-based services, and cloud computing. I am also strongly interested in privacy-preserving machine learning and applied cryptography.
My research has been supported by National Science Foundation and Binghamton University.
[Feb.2018] One paper has been accepted to IEEE CNS 2018.
[Feb.2018] One paper has been accepted to IEEE Transactions on Parallel and Distributed Computing (TPDS).
[Jan.2018] Awarded as the Distinguish TPC Member of IEEE INFOCOM 2018.
[Nov.2017] One paper has been accepted to IEEE Transactions on Mobile Computing (TMC).
[Aug.2017] Receive the NSF SCH grant on privacy-preserving data analytics for environmental public health (Project Link).
[Jul.2017] Receive the NSF SaTC grant on malicious behavior detection in dynamic spectrum access. (Project Link).
[Jun.2017] Two papers have been accepted to IEEE CNS 2017!
[Jun.2017] Receive the NSF ECCS-CCSS/SaTC grant on privacy-preserving mobile crowdsensing (Project Link).
[Mar.2017] Invited to serve as the TPC member of INFOCOM 2018.
[Jan.2017] Pei's Globecom paper, which develops a new ECG-based biometric approach for authentication in eHealth, has been extensively reported by ACM, Biometric Update, Bleeping Computing, Daily Mail, ETHealthworld, HealthCareBusiness, IEEE GlobalSpec, Innovation Toronto, iTech Post, labroots, Madison, Medical Bag, MedicineNet, mental_floss, Mogaz News, Newswise, SecureWorld, St. Louis Post-Dispatch, The Christian Post, TheHealthSite, UPI, U.S. News, and many other media outlets.