He is a Research Scientist at the New York University (NYU) Abu Dhabi, specializing in communication systems, signal processing, and wireless technologies. He earned his Ph.D. in Electrical Engineering from EURECOM, France, in 2017, following an M.Sc. in Electrical Engineering from CentraleSupélec and a B.Sc. in Electrical and Computer Engineering from the Lebanese University. Throughout his career, he has contributed extensively to the advancement of signal processing and communication technologies in both academia and industry. Prior to joining NYU Abu Dhabi as a Research Associate and later Research Scientist, he served as Algorithm and Signal Processing Team Leader at CEVA-DSP, where he led the development of advanced algorithms for next-generation communication systems. He also worked as a Signal Processing Engineer at CEVA-DSP and completed an engineering internship at RivieraWaves. His research interests include wireless communications, digital signal processing, communication system design, and emerging intelligent technologies. In addition to his research contributions, he actively serves the scientific community as a reviewer for several prestigious international conferences, including the IEEE International Conference on Communications (ICC), IEEE Wireless Communications and Networking Conference (WCNC), IEEE Vehicular Technology Conference (VTC), International Symposium on Wireless Communication Systems (ISWCS), International Wireless Communications and Mobile Computing Conference (IWCMC), Conference on Internet of Things and Embedded Intelligence (CITEI), and the International Conference on Computational Intelligence and Communication (CICN). His work continues to bridge theoretical innovation and practical implementation in modern communication and signal processing systems.

Integrated Sensing and Communications for 6GAs the global wireless industry evolves toward 6G, networks are moving beyond traditional connectivity into a paradigm where they must actively perceive their surroundings. Integrated sensing and communications (ISAC) has emerged as a foundational technology for this shift, driven by the need for spectrum efficiency, shared hardware, and the rigorous demands of advanced applications like autonomous driving and haptic telemedicine. However, this integration presents significant challenges, most notably the conflicting waveform and receiver design objectives for sensing and communication, as well as the high peak-to-average power ratio (PAPR) inherent in modern waveforms. This talk presents a comprehensive overview of our multifaceted research across ISAC technology, beginning with physical layer (PHY) design. At the transmitter side, I introduce novel beamforming and waveform techniques, as well as specialized ISAC pilots, that optimize a single signal to simultaneously detect targets and serve multiple users, yielding proven improvements in detection probability and channel capacity. On the receiver side, I showcase advancements in sensing, estimation, and imaging, including hybrid radar fusion models, deep learning, and parametric methods for super-resolution joint estimation, and an imaging framework that utilizes ray-tracing-derived channel state information (CSI) for  3D environmental reconstruction. Furthermore, addressing the critical pillars of security and privacy, our work explores secure beamforming and artificial noise generation designed to maintain communication secrecy against malicious eavesdroppers who inherently act as sensing targets. Finally, I present recent experimental work characterizing the upper mid-band (FR3) spectrum (7.125–24.25 GHz), providing essential empirical data that has directly informed 3GPP standardization and demonstrating how these converging research lines pave the way toward a fully perceptive 6G future.