I am a seasoned Research Scientist specializing in Machine Learning (ML) and Artificial Intelligence (AI). I hold a Ph.D. in Information Engineering and Sciences from the University of Siena, Italy, where I focused on developing a Game-Theoretic approach for adversarial information fusion in distributed sensor networks within the cybersecurity domain. With extensive experience in both academia and industry, I have worked on projects funded by notable institutions such as DARPA, the U.S. Air Force Research Laboratory, the Italian Ministry of University and Research, and the French ANR. My contributions include research on adversarial deep learning and signal processing, as well as AI security. I was a research fellow at the USA National Institute of Standards and Technology from February 2020 until the end of February 2022 in the wireless communication division of the chemical process and nuclear measurements group. From March 2022 to December 2023, I served as a research scientist at the French National Institute for Research in Digital Science and Technology (INRIA). Notable for my contributions to the SAIDA project, I focused on the security of AI for defense applications, exploring areas like backdoor attacks, deep learning defenses, and deep neural networks watermarking. I am currently a Senior Scientist at the French National Institute of Health and Medical Research, focusing on the security and privacy of AI for healthcare. My achievements include being recognized with the top 3 in the best-of-the-best PhD thesis award by Springer, the Best Paper Award at the Ninth International Conference on Advances in Multimedia (MMEDIA) in 2017, and the top 3% paper award at the ICASSP conference in June 2023.

I am  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, I served as 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. I was a technical committee - PC member at the 51st International Carnahan Conference on Security Technology ICCST 2017, and the 2024 ACM Symposium On Applied Computing, Safe, Secure and Robust AI Track, and a Session Chair for NGN and Network Management at IARIA Ninth International Conferences on Advances in Multimedia (MMEDIA), 2017. I 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”.

My 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. My diverse experiences and contributions make me a valuable asset to any team or organization.

In his spare time, I volunteer as a mentor at IEEE Collabortec and I was a Youth Volunteer at the Lebanese Red Cross. I also hold an Executive Master of Business Administration (E-MBA) from the Valar Institute at Quantic School of Business and Technology.