Ahmad Bazzi

Research Associate Affiliation: NYU Abu Dhabi
Education: PhD, EURECOM, France

Research Areas: Wireless communications; integrated sensing and communication; signal processing

Ahmad Bazzi was born in Abu Dhabi, United Arab Emirates. He received his PhD degree in electrical engineering from EURECOM, Sophia Antipolis, France, in 2017. and the MSc degree (summa cum laude) in wireless communication systems (SAR) from the Centrale Supélec, in 2014. Bazzi is currently a researcher with New York University Abu Dhabi, contributing to integrated sensing and communications. Prior to that, he was the Algorithm and Signal Processing Team Leader at CEVA-DSP, Sophia Antipolis, leading the work on Wi-Fi (802.11ax) and Bluetooth (5.xx BR/BLE/BTDM/LR) high-performant (HP) PHY modems, OFDMA MAC schedulers, and RF-related issues. He is an inventor with several patents involving intellectual property of Wi-Fi and Bluetooth products, all of which have been implemented and sold to key clients.

Since 2018, he has been publishing YouTube lectures under his name "Ahmad Bazzi", where his channel contains mathematical, algorithmic, and programming topics, with 287K+ subscribers and 17M+ views, as of August 2023. Bazzi was awarded a CIFRE Scholarship from Association Nationale Recherche Technologies (ANRT) France, in 2014, in collaboration with RiveiraWaves (now CEVA-DSP). He was nominated for the Best Student Paper Award at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016. Bazzi received the Silver Plate Creator Award from YouTube, in 2022, for his 100,000 subscriber milestone. He was awarded an exemplary reviewer for the IEEE Transactions on Communications in 2022 and an exemplary reviewer for the IEEE Wireless Communications Letters in 2022. His research interests include signal processing, wireless communications, statistics, and optimization. He was selected one of the top 200 influencers in the Arab World on LinkedIn for 2023.

Current Research

Waveform Design for Integrated Sensing and Communications (ISAC) 6G Systems

6G is intended to foster a wide scope of services, spanning haptic telemedicine to VR/AR remote services and holographic teleportation with massive eXtended reality (XR) capabilities, as well as Blockchain, just to name a few. Therefore, 6G will go beyond communications, thanks to a key feature that is ISAC. Indeed, ISAC cooperation and convergence is an utmost topic that will serve as a door-opener for innovative applications in several domains such as the automotive sector, UAV sector, and robotics. Spectrum efficiency is one of the major virtues of ISAC, as the dynamics of sensing and communication can be “buckled up” within the same resource. An additional advantage is hardware resource sharing between radar and communication tasks, thus having both sensing and communication on a single platform will lead to reduced PHY-layer modem size and cost. All these merits give rise to a serious number of challenges and research questions that need to be addressed, such as efficient resource reuse and spectrum sharing, trade-offs between high communication rates and high-resolution sensing performances, privacy and security, and shared waveform design from a practical standpoint. In this project, we focus on practical waveform design, which puts forward dual-functional radar and communication base stations at the forefront of future 6G cellular networks. The main essence lies in providing efficient algorithms and designs through suitable optimization frameworks, enabling fruitful trade-offs, given the conflicting natures of the sensing and communication objectives. Even more, these methods should adapt to model uncertainties, such as situations with imperfect channel state information, and hardware imperfections, such as high power amplifier considerations.