Amir Javadpour holds a Ph.D. in Mathematics/Cybersecurity from Guangzhou University, China. His academic journey is distinguished by numerous publications in highly-ranked journals and prestigious conferences. These works span a diverse range of topics, reflecting his deep expertise in Cybersecurity, Cloud Computing, Software-Defined Networking (SDN), Big Data, Intrusion Detection Systems (IDS), the Internet of Things (IoT), Moving Target Defense (MTD), Machine Learning (ML), Reinforcement Learning, and optimization algorithms.

Beyond his publications, he has made substantial contributions as a reviewer and author for leading academic venues, including IEEE Transactions on Cloud Computing, IEEE Transactions on Network Science and Engineering, and ACM Transactions on Internet Technology. His reviewing efforts extend to various reputable journals under Springer and Elsevier. Additionally, he serves as a dedicated Technical Program Committee (TPC) member for several international conferences.

Dr. Javadpour is actively in international collaborations, particularly with European consortiums on funded projects such as Inspire-5Gplus (https://www.inspire-5gplus.eu/) and Rigourous (https://rigourous.eu/).  These partnerships have resulted in significant contributions to the field, with his work being featured in top-tier journals and conferences, including Globecom, IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Network and Service Management (TNSM), and ACM Transactions on Sensor Networks (TOSN).

In addition to his research and publication efforts, he is deeply committed to mentoring and supervising Master’s and Doctoral students. His extensive experience in this area has equipped him with the skills and confidence to lead a research group and conduct independent, high-impact research.