Dr. Burak Kantarci is the founding director of the Next Generation Communications and Computing Networks (NEXTCON) Research laboratory, and an Assistant Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa (Canada). From 2014 to 2016, he was an assistant professor at the ECE Department at Clarkson University (NY, U.S.A.). Dr. Kantarci received the M.Sc. and Ph.D. degrees in computer engineering from Istanbul Technical University, in 2005 and 2009, respectively. During his Ph.D. study, he studied as a Visiting Scholar at the University of Ottawa. He has co-authored over 150 papers in established journals and conferences, and contributed to 12 book chapters. He is the Co-Editor of the book entitled Communication Infrastructures for Cloud Computing. Dr. Kantarci’s current research interests include Internet of Things, vehicular networks, big data in the network, mobile crowd-sensing, social networks, and continuous authentication via behavioral biometrics. He has served as the Technical Program Co-Chair of more than ten international conferences/symposia/workshops. He has been a PI/co-PI of multiple federally/provincially-funded research projects supported by major granting agencies in Canada and US such as Natural Sciences and Engineering Research Council of Canada (NSERC), Ontario Centres of Excellence (OCE), and U.S. National Science Foundation (NSF). He is an editor of IEEE Communications Surveys and Tutorials, an associate editor for IEEE Access, Area Editor for IEEE Transactions on Green Communications and Networking, and an associate editor for IEEE Networking Letters. He also serves as the Chair of the IEEE ComSoc Communication Systems Integration and Modeling Technical Committee. Dr. Kantarci is a senior member of the IEEE, member of the ACM, and a distinguished speaker of the ACM.
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Empowering behaviometrics for authentication
Learning unique behavioral patterns of an individual can improve detection of identity spoofing while addressing user comfort issues in user authentication processes. To this end, social and...
Trustworthiness and truthfulness issues in big crowd-sensed data
As a cloud-inspired sensing service model, mobile crowd-sensing can enable access to the Internet of Things (IoT)-based services. When mobile crowd-sensing becomes widely adopted, sensed data from...
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