Dr. Kassem Kallas received his Ph.D. in Information Engineering and Mathematical Sciences from University of Siena, Italy, in April 2017, with a thesis on a Game-Theoretic approach for adversarial information fusion in distributed sensor networks, in the area of cyber security. He received a masters (advanced master II) in Wireless Systems and Related Technologies from Politecnico di Torino, Torino, Italy after obtaining a BSc. and M.Sc. degree in Computer and Communication Engineering from Lebanese International University in 2010 and 2012, respectively. During his Ph.D he won two research scholarships one with the European Project AMULET (A MUlti-cLuE approach To image forensics) from the European Office of Aerospace Research and Development (EOARD); and from May 2017 till February 2018, he was a R&D scientist at ViDiTrust srl., Siena, Italy. At ViDiTrust,he worked on developing and improving an image analysis and pattern recognition system for anti-counterfeiting and security applications. From March 2018 till February 2020, he was a Postdoctoral Research Associate at the department of Information Engineering and Mathematics at University of Siena working on the use of machine learning and artificial neural networks for information security, and in particular, for adversarial signal processing. During his Postdoc,he published several papers (some of them were partially supported by a research sponsored by DARPA and Air Force Research Laboratory (AFRL) of the U.S. government and the Italian Ministry of University and Research (MUR) in the fields of adversarial signal processing, and adversarial deep learning. From February 2020 till February 2022, he was a Research Scientist at the National Institute of Standards and Technology of the Department of Commerce, USA, where he is working on applying deep learning to wireless communication systems. Currently, he is a research scientist position at the National Institute for Research in Digital Science and Technology (INRIA), Rennes, France. Moreover, he co-authored a book published in Springer Signals and Communication Technology Book Series upon their invitation. Finally, he was a Lab-teaching assistant of Professor Abhir Bhalerao from University of Warwick, Warwick, England in his Ph.D. course ”Interpretation and Analysis of Medical Images using Computational and Machine Learning techniques”.

Dr. Kallas 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). He is the recipient of the best paper award of the Ninth International Conferences on Advances in Multimedia (MMEDIA) 2017, Venice, Italy.

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 interest focuses on: the application of Game-theoretic concepts to Adversarial Signal Processing, pattern recognition and image processing for anti-counterfeiting applications and security of machine learning models. In addition, he works on Machine Learning and Deep Learning security threats and defenses. Moreover, he was working on applications of AI/ML to 5G and 6G wireless communication systems.