Alireza Jolfaei

Alireza Jolfaei received the Ph.D. degree in Applied Cryptography from Griffith University, Gold Coast, Australia. He is the Program Leader of Master of IT in Cyber Security in the School of Computing at Macquarie University, Sydney, Australia. Alireza has previously worked as an Assistant Professor at Federation University Australia and also at Temple University in Philadelphia, USA. His current research areas include Cyber and Cyber-Physical Systems Security. He has authored over 100 peer-reviewed articles on topics related to cybersecurity. He has received multiple awards for Academic Excellence, University Contribution, and Inclusion and Diversity Support. He received the prestigious IEEE Australian council award for his research paper published in the IEEE Transactions on Information Forensics and Security. He received a recognition diploma with a cash award from the IEEE Industrial Electronics Society for his publication at the 2019 IEEE IES International Conference on Industrial Technology. He is a founding member of the Federation University IEEE Student Branch. He served as the Chairman of the Computational Intelligence Society in the IEEE Victoria Section and also as the Chairman of Professional and Career Activities for the IEEE Queensland Section. He has served as the guest associate editor of IEEE journals and transactions, including the IEEE IoT Journal, IEEE Sensors Journal, IEEE Transactions on Industrial Applications, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Emerging Topics in Computational Intelligence. He has served over 10 conferences in leadership capacities including program co-Chair, track Chair, session Chair, and Technical Program Committee member, including IEEE TrustCom and IEEE INFOCOM. He is a Senior Member of the IEEE and a Distinguished Speaker of the ACM on the topic of Cyber Security.

Collaborators

Alireza has research collaborations with peers from academia and industry on the topics of Smart Grid Security, Intelligent Transportation Systems Security, Privacy-Preserving Edge Computing, Trustworthy Machine Learning, and the Usable Security for Mixed Realities.