Adversarial Multimedia Forensics

Dr. Ehsan Nowroozi is a leading cybersecurity researcher and an IEEE/ACM Professional Member with expertise in adversarial machine learning and multimedia forensics. He currently serves as a Research Fellow at Queen’s University Belfast, Centre for Secure Information Technologies, where he identifies and addresses vulnerabilities in AI systems. After earning his Ph.D. in Cybersecurity from the University of Siena in Italy, Dr. Nowroozi expanded his knowledge through postdoctoral fellowships at multiple prestigious institutions such as Siena and Padua Universities in Italy, and Sabanci University in Turkey. He also served as an Assistant Professor at Bahçeşehir University in Istanbul, Turkey, where he taught various artificial intelligence courses that focused on cybersecurity applications. Dr. Nowroozi’s research has been supported by competitive grants from DARPA, U.S.. Air Force Research Lab and Italian Ministry of University and Research. He is currently contributing to a Thales UK project on AI verification at Queen’s University, Belfast. Recognized in 2022 with IEEE Senior Membership status, he actively returns to the cybersecurity community through diligent journal review. With his specialized expertise and dedication to the field, Dr. Nowroozi published pioneering research on the intersection of artificial intelligence, cybersecurity, and forensics. His work laid the foundation for more secure AI systems, benefiting both academia and industry. As a leader in this critical area, he continued to pursue impactful advances to counter emerging technological threats.
Dr. Kassem Kallas is a seasoned Research Scientist with expertise in the fields of Machine Learning (ML) and Artificial Intelligence (AI). He has a wealth of experience in applying these concepts to real-world problems. Dr. Kallas earned his Ph.D. in Information Engineering and Sciences from the University of Siena, Italy.He has worked on a variety of projects, including ones funded by renowned institutions such as DARPA, Air Force Research Laboratory (AFRL) of the U.S. government, and the Italian Ministry of University and Research (MUR) to research adversarial deep learning and adversarial signal processing. He worked on applying deep learning to wireless communication systems at the National Institute of Standards and Technology (NIST), USA.In addition to his academic and professional accomplishments, Dr. Kallas has gained valuable experience in the business and industrial sectors. He worked as an R&D scientist at ViDiTrust srl and AI consultant at Centrica-ImagineMore. Dr. Kallas is currently a research scientist at the French National Institute for Research in Digital Science and Technology (INRIA), where he continues to make significant contributions to the field. He has also been recognised for his achievements with the Best Paper Award at the Ninth International Conference on Advances in Multimedia (MMEDIA) in 2017 and top 3% paper award at ICASSP 2023. He is a Senior Member of IEEE and is part of the IEEE Young Professionals, IEEE Signal Processing Society, the European Association for Signal Processing (EURASIP), and Asia-Pacific Signal and Information Processing Association (APSIPA). In addition, he has been a reviewer at the IEEE WCNC’2016, IRACON-WS 2017, Inscrypt 2019 and iSES 2019 conferences and the IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Signal Processing, EURASIP Journal on Information Security and National Institute of Standards and Technology (NIST) journal of research. He has been a technical committee - PC member at the 51st International Carnahan Conference on Security Technology ICCST 2017, and a Session Chair for NGN and Network Management at IARIA Ninth International Conferences on Advances in Multimedia (MMEDIA), 2017. He also participated in the ITU AI/ML in 5G 2020 Challenge and proposed an AI-based solution to the problem statement ＂Beam-Selection in Millimeter-Wave MIMO Systems＂. His research interests include Game-theoretic concepts for Adversarial Signal Processing, pattern recognition, and image processing for anti-counterfeiting applications, and Machine Learning security threats and defences. In his spare time, Dr. Kallas volunteers as a mentor at IEEE Collabortec. He is also pursuing an Executive Master of Business Administration (E-MBA) in Strategic Leadership at Valar Institute at Quantic School of Business and Technology to further enhance his expertise in the field of business.
Dr. Alireza Jolfaei is an Associate Professor in Cybersecurity and Networking in the College of Science and Engineering at Flinders University. He is a Senior Member of the IEEE and a Distinguished Speaker of the ACM on the topic of Cybersecurity. He has previously been a faculty member with Macquarie University and Federation University in Australia, and Temple University in the USA. He received a Ph.D. degree in Applied Cryptography from Griffith University, Gold Coast, Australia. His main research interest is in Cyber-Physical Systems Security, where he investigates the hidden interdependencies in industrial communication protocols and aims to provide fundamentally new methods for security-aware modelling, analysis and design of safety-critical cyber-physical systems in the presence of cyber-adversaries. He has been a chief investigator of several internal and external grants with a total amount exceeding ＄2,6 million. He successfully supervised eight HDR students to completion. He received the prestigious IEEE Australian Council award for his research paper published in the IEEE Transactions on Information Forensics and Security.