Ahmad Bazzi

@nyuad.nyu.edu

NYU WIRELESS, NYU Tandon School of Engineering
New York University Abu Dhabi

Ahmad Bazzi


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https://researchid.co/ahmadbazzi
Ahmad Bazzi - Research Scientist
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 Centrale Supélec, in 2014. He is currently a Research Scientist at the Wireless Research Lab of New York University (NYU) Abu Dhabi, and NYU WIRELESS, NYU Tandon School of Engineering, contributing to integrated sensing and communications (ISAC). 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 multiple 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 lectures on the YouTube pl

EDUCATION

🎓 PhD in Electrical Engineering (2014-2017) EURECOM / Communication Systems

🎓 MSc in Electrical Engineering (2013-2014) CentraleSupélec / SAR

🎓 BSc in Electrical and Computer Engineering (2009-2014) Lebanese University, Faculty of Engineering III

RESEARCH, TEACHING, or OTHER INTERESTS

Signal Processing, Computer Science, Information Systems, Artificial Intelligence
50

Scopus Publications

2085

Scholar Citations

26

Scholar h-index

31

Scholar i10-index

Scopus Publications

  • DRIP: A Versatile Family of Space-Time ISAC Discrete-Time Sequences
    Dexin Wang, Ahmad Bazzi, Marwa Chafii
    IEEE Journal on Selected Areas in Information Theory, 2026
    The following paper introduces Dual beam-similarity awaRe Integrated sensing and communications (ISAC) with controlled Peak-to-average power ratio (DRIP) discrete-time sequences. DRIP is a novel family of space-time ISAC discrete-time sequences designed for dynamic peak-to-average power ratio (PAPR) adjustment. The proposed DRIP sequences are designed to conform to specified PAPR levels while exhibiting beampattern properties, effectively targeting multiple desired directions and suppressing interference for multi-target sensing applications, while closely resembling radar chirps. For communication purposes, the proposed DRIP sequences aim to minimize multi-user interference across various constellations. Addressing the non-convexity of the optimization framework required for generating DRIP sequences, we introduce a block cyclic coordinate descent algorithm. This iterative approach ensures convergence to an optimal ISAC sequence solution. Simulation results validate the DRIP waveforms’ superior performance, versatility, and favorable ISAC trade-offs, highlighting their potential in advanced multi-target sensing and communication systems.
  • High-Resolution Sensing in Communication-Centric ISAC: Deep Learning and Parametric Methods
    Salmane Naoumi, Ahmad Bazzi, Roberto Bomfin, Marwa Chafii
    IEEE Journal on Selected Areas in Communications, 2026
    This paper introduces two novel algorithms designed to address the challenge of super-resolution sensing parameter estimation in bistatic configurations within communication-centric integrated sensing and communication (ISAC) systems. Our approach leverages the estimated channel state information derived from reference symbols originally intended for communication to achieve super-resolution sensing parameter estimation. The first algorithm, IFFT-C2VNN, employs complex-valued convolutional neural networks to estimate the parameters of different targets, achieving significant reductions in computational complexity compared to traditional methods. The second algorithm, PARAMING, utilizes a parametric method that capitalizes on the knowledge of the system model, including the transmit and receive array geometries, to extract the sensing parameters accurately. Through a comprehensive performance analysis, we demonstrate the effectiveness and robustness of both algorithms across a range of signal-to-noise ratios, underscoring their applicability in realistic ISAC scenarios.
  • On the Secrecy-Sensing Optimization of RIS-Assisted Full-Duplex Integrated Sensing and Communication Network
    Elmehdi Illi, Ahmad Bazzi, Marwa Qaraqe, Ali Ghrayeb
    IEEE Transactions on Wireless Communications, 2026
    Integrated sensing and communication (ISAC) has recently emerged as a viable technique for establishing sensing and communication using the same resources. Nonetheless, the operation of ISAC networks is often challenged by the absence of a direct link between the sensing node and the targets, and by the risk of disclosing confidential data to malicious targets when using the same signal for both tasks. In this paper, a robust reconfigurable intelligent surface (RIS)-aided scheme for securing a full-duplex (FD) ISAC network is proposed. The considered network consists of uplink and downlink users served in FD through a multi-antenna dual-functional radar communication base station (BS), which employs co-located multi-antenna communication-radar arrays to detect multiple malicious targets while preserving communication secrecy in their presence. Additionally, the BS utilizes an optimized artificial noise (AN) that serves to disrupt the malicious targets’ reception and increase the sensing illumination power. By optimally designing the RIS phase shifts, transmit beamforming matrix, AN covariance matrix, and uplink users’ transmit power and combining vectors using an alternating optimization-based algorithm, the network’s sensing performance is maximized under secrecy and total power constraints. Numerical results present the proposed scheme’s efficacy, particularly when a direct link between the BS and the various nodes/targets is absent.
  • Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges
    Ahmad Bazzi, Roberto Bomfin, Marco Mezzavilla, Sundeep Rangan, Theodore Rappaport, Marwa Chafii
    IEEE Communications Magazine, 2026
    Driven by the pursuit of gigabit-per-second data speeds for future 6G mobile networks, in addition to the support of sensing and artificial intelligence applications, the industry is expanding beyond crowded sub-6 GHz bands with innovative new spectrum allocations. In this paper, we chart a compelling vision for 6G within the frequency range 3 (FR3) spectrum, i.e. 7.125-24.25 GHz, by delving into its key enablers and addressing the multifaceted challenges that lie ahead for these new frequency bands. Here we highlight the physical properties of this never-before used spectrum for cellular by reviewing recent channel measurements for outdoor and indoor environments, including path loss, delay and angular spreads, and material penetration loss, all which offer insights that underpin future 5G/6G wireless communication designs. Building on the fundamental knowledge of the channel properties, we explore FR3 spectrum agility strategies that balance coverage and capacity tradeoffs, while examining coexistence with incumbent systems, such as satellites, radio astronomy, and earth exploration. Moreover, we discuss the potential of massive multiple-input multiple-output technologies, challenges for commercial deployment, and potential solutions for FR3, including multiband sensing for FR3 integrated sensing and communications. Finally, we outline 6G standardization features that are likely to emerge from 3GPP radio frame innovations and open radio access network developments.
  • Mutual Information Based Pilot Design for ISAC
    Ahmad Bazzi, Marwa Chafii
    IEEE Transactions on Communications, 2025
    The following paper presents a novel orthogonal pilot design dedicated for integrated sensing and communications (ISAC) systems performing multi-user communications and target detection. After careful characterization of both sensing and communication metrics based on mutual information (MI), we propose a multi-objective optimization problem (MOOP) tailored for pilot design, dedicated for simultaneously maximizing both sensing and communication MIs. Moreover, the MOOP is further simplified to a single-objective optimization problem, which characterizes trade-offs between sensing and communication performances. Due to the non-convex nature of the optimization problem, we propose to solve it via the projected gradient descent method on the Stiefel manifold. Closed-form gradient expressions are derived, which enable execution of the projected gradient descent algorithm. Furthermore, we prove convergence to a fixed orthogonal pilot matrix. Finally, we demonstrate the capabilities and superiority of the proposed pilot design, and corroborate relevant trade-offs between sensing MI and communication MI. In particular, significant signal-to-noise ratio (SNR) gains for communication are reported, while re-using the same pilots for target detection with significant gains in terms of probability of detection for fixed false-alarm probability. Other interesting findings are reported through simulations, such as an information overlap phenomenon, whereby the fruitful ISAC integration can be fully exploited.
  • Investing Minimum Power in Secure Full Duplex ISAC Systems
    Ahmad Bazzi, Marwa Chafii
    Proceedings IEEE Global Communications Conference Globecom, 2025
    Integrated Sensing and Communication (ISAC) systems vulnerability to information interception has become more dramatic with the usage of unified signaling techniques. This paper introduces a secure full-duplex (FD) multi-eavesdroppers (Eve) ISAC system, where malicious users, termed as Eve, aim at intercepting the downlink (DL) as well as the uplink (UL) information interchanged between legitimate DL/UL users and the dual functional radar and communication (DFRC) base station (BS). Following the model, we design a suitable secure ISAC method that invests minimal power in the FD system in order to satisfy desired UL/DL secrecy rates, while illuminating radar beams at Eves. The motivation being that the FD system should expose minimal useful information towards the Eves, while simultaneously sensing their physical parameters. To this end, a suitable optimization problem is formed taking into account the aforementioned requirements, and a successive convex approximation approach is taken to iteratively solve the problem. Simulation results also reveal secrecy-sensing trade-offs and demonstrate the effectiveness of the method for different system parameters and requirements.
  • Low Dynamic Range for RIS-Aided Bistatic Integrated Sensing and Communication
    Ahmad Bazzi, Marwa Chafii
    IEEE Journal on Selected Areas in Communications, 2025
    The following paper presents a reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system model scenario, where a base station communicates with a user, and a bi-static sensing unit, i.e. the passive radar (PR), senses targets using downlink signals. Given that the RIS aids with communication and sensing tasks, this paper introduces new interfering paths that can overwhelm the PR with unnecessarily high power, namely the path interference (PI), which is itself a combination of two interfering paths, the direct path interference (DPI) and the reflected path interference (RPI). For this, we formulate an optimization framework that allows the system to carry on with its ISAC tasks, through analog space-time beamforming at the sensing unit, in collaboration with RIS phase shift and statistical transmit covariance matrix optimization, while minimizing the PI power. As the proposed optimization problem is non-convex, we tailor a block-cyclic coordinate descent (BCCD) method to decouple the non-convex sub-problem from the convex one. A Riemannian conjugate gradient method is devised to generate the RIS and PR space-time beamforming phase shifts per BCCD iteration, while the convex sub-problem is solved via off-the-shelf solvers. Simulation results demonstrate the effectiveness of the proposed solver when compared with benchmarking ones.
  • Towards ISAC RIS-Enabled Passive Radar Target Localization
    Ahmad Bazzi, Marwa Chafii
    IEEE International Conference on Communications, 2025
    Incorporating integrated sensing and communication capabilities into forthcoming 6G wireless networks is crucial for achieving seamless synchronization between the digital and physical worlds. The following paper focuses on a scenario where a passive radar (PR) is subject to weak line-of-sight signals of opportunity, emanating from an access point and subsequently reflecting off targets, ultimately reaching the PR. Furthermore, a normalized least mean squares method is presented for jointly detecting the number of targets and estimating target angles of arrival (AoAs). The algorithm iteratively adjusts the steering vector estimates to minimize a suitable error cost function, while the target AoAs are identified via a peak-finding search conducted on the resulted power spectrum. Simulation results show the capabilities of the proposed localization method, as well as a 14 dB dynamic range reduction that can be achieved at the PR.
  • Designing Waveforms with Adjustable PAPR for Integrated Sensing and Communication
    Ahmad Bazzi, Marwa Chafii
    IEEE International Conference on Communications, 2025
    This paper presents a new optimization framework dedicated for integrated sensing and communication (ISAC) waveform design. In particular, the problem aims at maximizing the total achievable sum-rate, through multi-user interference minimization, while preserving a certain level of similarity to a given desired radar waveform. Aiming towards feasible and practical PHY architectures, we also offer the flexibility of tuning the peak-to-average power ratio to a desired level. Towards this design, a non-convex optimization problem is formulated, and an alternating direction method of multipliers based solution is derived to converge towards the superiority of the final ISAC waveform. Finally, simulation results validate the proposed ISAC waveform design, as compared to state-of-the-art solutions.
  • Hybrid Radar Fusion with Quantization: CRB-Rate Trade-offs and ADC Dynamic Range
    Akhileswar Chowdary, Ahmad Bazzi, Marwa Chafii
    Proceedings IEEE Global Communications Conference Globecom, 2025
    Recent advancements have underscored the relevance of low-resolution analog-to-digital converters (ADCs) in integrated sensing and communication (ISAC) systems. Nevertheless, their specific impact on hybrid radar fusion (HRF) remains largely unexplored. In HRF systems, where uplink (UL) paths carry direct and reflected signals in the same frequency band, the reflected signal is often significantly weaker, making HRF performance particularly sensitive to ADC resolution. To study this effect, we use the quantized Cramér-Rao bound (CRB) to measure sensing accuracy. This work derives an upper bound on the quantized CRB for angle of arrival (AoA) estimation and explores CRB-rate trade-offs through two formulated optimization problems. Simulation results indicate that HRF becomes infeasible when the dynamic range of the received signal exceeds the dynamic range supported by the ADC, which is inherently limited by its resolution. Furthermore, the UL communication rate does not increase significantly when the ADC resolution is raised beyond a certain threshold. These observations highlight a fundamental trade-off between sensing and communication performance: while HRF performance benefits from higher ADC resolutions, the corresponding gains in communication rate plateau. This trade-off is effectively characterized using CRB-rate boundaries derived through simulation.
  • 3GPP-Compliant Radar Cross Section Characterization of Indoor Factory Targets
    Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin, Marwa Chafii
    Proceedings IEEE Global Communications Conference Globecom, 2025
  • Timing Synchronization and Channel Estimation for DCO-OFDM in VLC Systems
    Ali Waqar Azim, Talha Rahman, Ahmad Bazzi, Murat Uysal, Marwa Chafii
    IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC, 2025
  • Multi-Functional RIS for a Multi-Functional System: Integrating Sensing, Communication, and Wireless Power Transfer
    Ahmed Magbool, Vaibhav Kumar, Ahmad Bazzi, Mark F. Flanagan, Marwa Chafii
    IEEE Network, 2025
  • Multi-Band Channel Sensing in the Upper Mid-Band (FR3)
    Roberto Bomfin, Ali Rasteh, Ahmad Bazzi, Hao Guo, Hyeongtaek Lee, Marco Mezzavilla, Sundeep Rangan, Junil Choi, Marwa Chafii
    Proceedings IEEE Global Communications Conference Globecom, 2025
  • Urban Outdoor Propagation Measurements and Channel Models at 6.75 GHz FR1(C) and 16.95 GHz FR3 Upper Mid-Band Spectrum for 5G and 6G
    Dipankar Shakya, Mingjun Ying, Theodore S. Rappaport, Peijie Ma, Idris Al-Wazani, Yanze Wu, Yanbo Wang, Doru Calin, Hitesh Poddar, Ahmad Bazzi, Marwa Chafii, Yunchou Xing, Amitava Ghosh
    IEEE International Conference on Communications, 2025
  • Layered Chirp Spread Spectrum Modulations for LPWANs
    Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin, Raed Shubair, Marwa Chafii
    IEEE Transactions on Communications, 2024
  • Secure Full Duplex Integrated Sensing and Communications
    Ahmad Bazzi, Marwa Chafii
    IEEE Transactions on Information Forensics and Security, 2024
  • On Hybrid Radar Fusion for Integrated Sensing and Communication
    Akhileswar Chowdary, Ahmad Bazzi, Marwa Chafii
    IEEE Transactions on Wireless Communications, 2024
  • RIS-Enabled Integrated Sensing and Communication for 6G Systems
    Dexin Wang, Ahmad Bazzi, Marwa Chafii
    IEEE Wireless Communications and Networking Conference Wcnc, 2024
  • Complex Neural Network Based Joint AoA and AoD Estimation for Bistatic ISAC
    Salmane Naoumi, Ahmad Bazzi, Roberto Bomfin, Marwa Chafii
    IEEE Journal on Selected Topics in Signal Processing, 2024
  • Dual-Mode Time Domain Multiplexed Chirp Spread Spectrum
    Ali Waqar Azim, Ahmad Bazzi, Mahrukh Fatima, Raed Shubair, Marwa Chafii
    IEEE Transactions on Vehicular Technology, 2023
  • On Integrated Sensing and Communication Waveforms With Tunable PAPR
    Ahmad Bazzi, Marwa Chafii
    IEEE Transactions on Wireless Communications, 2023
  • On Outage-Based Beamforming Design for Dual-Functional Radar-Communication 6G Systems
    Ahmad Bazzi, Marwa Chafii
    IEEE Transactions on Wireless Communications, 2023
  • Uplink and Downlink Communications Fusion for Enhanced Radar Sensing
    Akhileswar Chowdary, Ahmad Bazzi, Marwa Chafii
    IEEE Workshop on Signal Processing Advances in Wireless Communications Spawc, 2023
  • Hypothesis Testing on FMCW and OFDM for Joint Communication and Radar in IEEE 802.11bd
    Shahab Ehsanfar, Ahmad Bazzi, Klaus Mößner, Marwa Chafii
    2023 IEEE International Conference on Communications Workshops Sustainable Communications for Renaissance Icc Workshops 2023, 2023
  • Deep Learning-Enabled Angle Estimation in Bistatic ISAC Systems
    Salmane Naoumi, Ahmad Bazzi, Roberto Bomfin, Marwa Chafii
    2023 IEEE Globecom Workshops GC Wkshps 2023, 2023
  • Deep Learning-based Estimation for Multitarget Radar Detection
    Mamady Delamou, Ahmad Bazzi, Marwa Chafii, El Mehdi Amhoud
    IEEE Vehicular Technology Conference, 2023
  • Dual-Mode Chirp Spread Spectrum Modulation
    Ali Waqar Azim, Ahmad Bazzi, Raed Shubair, Marwa Chafii
    IEEE Wireless Communications Letters, 2022
  • DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning
    Wafa Njima, Ahmad Bazzi, Marwa Chafii
    IEEE Access, 2022
  • Fundamental Performance Limits of mm-Wave Cooperative Localization in Linear Topologies
    Varun Amar Reddy, Ahmad Bazzi, Gordon L. Stuber, Suhail Al-Dharrab, Wessam Mesbah, Ali Hussein Muqaibel
    IEEE Wireless Communications Letters, 2020
  • Robust music estimation under array response uncertainty
    Ahmad Bazzi, Dirk Slock
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2020
  • Joint angle and delay estimation (jade) by partial relaxation
    Ahmad Bazzi, Dirk Slock
    Globalsip 2019 7th IEEE Global Conference on Signal and Information Processing Proceedings, 2019
  • CramĂ©r-rao bound for joint angle and delay estimators by partial relaxation
    Ahmad Bazzi, Dirk Slock
    Globalsip 2019 7th IEEE Global Conference on Signal and Information Processing Proceedings, 2019
  • On maximum likelihood angle of arrival estimation using orthogonal projections
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2018
  • A Newton-type Forward Backward Greedy method for multi-snapshot compressed sensing
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    Conference Record of 51st Asilomar Conference on Signals Systems and Computers Acssc 2017, 2017
  • On mutual coupling for ULAs: Estimating AoAs in the presence of more coupling parameters
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2017
  • Blind on board wideband antenna RF calibration for multi-antenna satellites
    Ahmad Bazzi, Laura Cottatellucci, Dirk Slock
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2017
  • Performance analysis of an AoA estimator in the presence of more mutual coupling parameters
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2017
  • On a mutual coupling agnostic maximum likelihood angle of arrival estimator by alternating projection
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    2016 IEEE Global Conference on Signal and Information Processing Globalsip 2016 Proceedings, 2017
  • A mutual coupling resilient algorithm for joint angle and delay estimation
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    2016 IEEE Global Conference on Signal and Information Processing Globalsip 2016 Proceedings, 2017
  • JADED-RIP: Joint Angle and Delay Estimator and Detector via Rotational Invariance Properties
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac
    2016 IEEE International Symposium on Signal Processing and Information Technology Isspit 2016, 2017
  • Sparse recovery using an iterative Variational Bayes algorithm and application to AoA estimation
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac
    2016 IEEE International Symposium on Signal Processing and Information Technology Isspit 2016, 2017
  • Online angle of arrival estimation in the presence of mutual coupling
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    IEEE Workshop on Statistical Signal Processing Proceedings, 2016
  • A comparative study of sparse recovery and compressed sensing algorithms with application to AoA estimation
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac, Swarnalathaa Panneerselvan
    IEEE Workshop on Signal Processing Advances in Wireless Communications Spawc, 2016
  • Single snapshot joint estimation of angles and times of arrival: A 2D Matrix Pencil approach
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    2016 IEEE International Conference on Communications Icc 2016, 2016
  • On Joint Angle and Delay Estimation in the presence of local scattering
    Ahmad Bazzi, Dirk T.M. Slock, Lisa Meilhac
    2016 IEEE International Conference on Communications Workshops Icc 2016, 2016
  • On spatio-frequential smoothing for joint angles and times of arrival estimation of multipaths
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2016
  • Detection of the number of superimposed signals using modified MDL criterion: A random matrix approach
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2016
  • On the effect of random snapshot timing jitter on the covariance matrix for JADE estimation
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    2015 23rd European Signal Processing Conference Eusipco 2015, 2015
  • Efficient maximum likelihood joint estimation of angles and times of arrival of multiple paths
    Ahmad Bazzi, Dirk T. M. Slock, Lisa Meilhac
    2015 IEEE Globecom Workshops GC Wkshps 2015 Proceedings, 2015

RECENT SCHOLAR PUBLICATIONS

  • DRIP: A Versatile Family of Space-Time ISAC Discrete-time Sequences
    D Wang, A Bazzi, M Chafii
    IEEE Journal on Selected Areas in Information Theory , 2026
    2026
  • From Coverage to Sensing: ISAC meets FR3
    A Bazzi, F Gast, F Liu, S Jin, G Fettweis, M Chafii
    IEEE Communications Magazine , 2026
    2026
  • Impact of Background Dense Multipath Components on Multi-Band Fusion ISAC Systems
    D Wang, R Bomfin, A Bazzi, M Chafii
    arXiv preprint arXiv:2604.27265 , 2026
    2026
  • Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts
    W Fan, N Wei, A Bazzi, R Xi, Z Song, Y Li, Z Zeng, Y Xiu, C Assi
    arXiv preprint arXiv:2604.26330 , 2026
    2026
  • A Novel Framework for Transmitter Privacy in Integrated Sensing and Communication
    V Kumar, A Bazzi, C Pöpper, M Chafii
    arXiv preprint arXiv:2604.16068 , 2026
    2026
  • Heterogeneous mixture-of-experts for energy-efficient multimodal ISAC in highly mobile networks
    W Fan, N Wei, R Xi, A Bazzi, Y Xiu, C Assi, J Dong, J Jin
    arXiv preprint arXiv:2604.06697 , 2026
    2026
    Citations: 1
  • Multi-Band Sensing in FR3 with Background Dense Multipath Components
    D Wang, R Bomfin, A Bazzi, M Chafii
    arXiv preprint arXiv:2602.23539 , 2026
    2026
    Citations: 1
  • Movable Antenna Empowered Covert Dual-Functional Radar-Communication
    R Yang, N Wei, Z Dong, L Zhang, W Lyu, Y Xiu, A Bazzi, C Assi
    arXiv preprint arXiv:2601.14868 , 2026
    2026
    Citations: 2
  • Timing Synchronization and Channel Estimation for DCO-OFDM in VLC Systems
    AW Azim, T Rahman, A Bazzi, M Uysal, M Chafii
    2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio … , 2025
    2025
  • Upper mid-band spectrum for 6G: Vision, opportunity and challenges
    A Bazzi, R Bomfin, M Mezzavilla, S Rangan, T Rappaport, M Chafii
    IEEE Communications Magazine, 1-7 , 2025
    2025
    Citations: 83
  • Multi-Band Channel Sensing in the Upper Mid-Band (FR3)
    R Bomfin, A Rasteh, A Bazzi, H Guo, H Lee, M Mezzavilla, S Rangan, ...
    GLOBECOM 2025-2025 IEEE Global Communications Conference, 5127-5132 , 2025
    2025
    Citations: 2
  • Investing Minimum Power in Secure Full Duplex ISAC Systems
    A Bazzi, M Chafii
    GLOBECOM 2025-2025 IEEE Global Communications Conference, 3481-3486 , 2025
    2025
  • Hybrid Radar Fusion with Quantization: CRB-Rate Trade-offs and ADC Dynamic Range
    A Chowdary, A Bazzi, M Chafii
    GLOBECOM 2025-2025 IEEE Global Communications Conference, 4909-4914 , 2025
    2025
  • A Framework for Statistical Geometric Channel Model for ISAC Systems
    AW Azim, A Bazzi, TS Rappaport, M Chafii
    arXiv preprint arXiv:2511.23201 , 2025
    2025
  • A Framework for Statistical Geometric Channel Model for ISAC Systems
    A Waqar Azim, A Bazzi, TS Rappaport, M Chafii
    arXiv e-prints, arXiv: 2511.23201 , 2025
    2025
  • Compressed Multiband Sensing in FR3 Using Alternating Direction Method of Multipliers
    D Wang, I Jariwala, A Bazzi, S Rangan, TS Rappaport, M Chafii
    arXiv preprint arXiv:2510.03055 , 2025
    2025
    Citations: 3
  • ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G
    A Bazzi, M Ying, O Kanhere, TS Rappaport, M Chafii
    IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation , 2025
    2025
    Citations: 42
  • High-Resolution Sensing in Communication-Centric ISAC: Deep Learning and Parametric Methods
    S Naoumi, A Bazzi, R Bomfin, M Chafii
    IEEE Journal on Selected Areas in Communications , 2025
    2025
    Citations: 5
  • Urban outdoor propagation measurements and channel models at 6.75 ghz fr1 (c) and 16.95 ghz fr3 upper mid-band spectrum for 5g and 6g
    D Shakya, M Ying, TS Rappaport, P Ma, I Al-Wazani, Y Wu, Y Wang, ...
    ICC 2025-IEEE International Conference on Communications, 3291-3296 , 2025
    2025
    Citations: 42
  • 3GPP-Compliant Radar Cross Section Characterization of Indoor Factory Targets
    AW Azim, A Bazzi, R Bomfin, M Chafii
    arXiv preprint arXiv:2505.08754 , 2025
    2025
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • On outage-based beamforming design for dual-functional radar-communication 6G systems
    A Bazzi, M Chafii
    IEEE Transactions on Wireless Communications 22 (8), 5598-5612 , 2023
    2023
    Citations: 222
  • On integrated sensing and communication waveforms with tunable PAPR
    A Bazzi, M Chafii
    IEEE Transactions on Wireless Communications 22 (11), 7345-7360 , 2023
    2023
    Citations: 154
  • DNN-based indoor localization under limited dataset using GANs and semi-supervised learning
    W Njima, A Bazzi, M Chafii
    IEEE access 10, 69896-69909 , 2022
    2022
    Citations: 152
  • Secure full duplex integrated sensing and communications
    A Bazzi, M Chafii
    IEEE Transactions on Information Forensics and Security 19, 2082-2097 , 2023
    2023
    Citations: 151
  • Dual-mode chirp spread spectrum modulation
    AW Azim, A Bazzi, R Shubair, M Chafii
    IEEE Wireless Communications Letters 11 (9), 1995-1999 , 2022
    2022
    Citations: 100
  • Complex neural network based joint AoA and AoD estimation for bistatic ISAC
    S Naoumi, A Bazzi, R Bomfin, M Chafii
    IEEE Journal of Selected Topics in Signal Processing 18 (5), 842-856 , 2024
    2024
    Citations: 99
  • On hybrid radar fusion for integrated sensing and communication
    A Chowdary, A Bazzi, M Chafii
    IEEE Transactions on Wireless Communications 23 (8), 8984-9000 , 2024
    2024
    Citations: 86
  • Upper mid-band spectrum for 6G: Vision, opportunity and challenges
    A Bazzi, R Bomfin, M Mezzavilla, S Rangan, T Rappaport, M Chafii
    IEEE Communications Magazine, 1-7 , 2025
    2025
    Citations: 83
  • Single snapshot joint estimation of angles and times of arrival: A 2D Matrix Pencil approach
    A Bazzi, DTM Slock, L Meilhac
    2016 IEEE International Conference on Communications (ICC), 1-6 , 2016
    2016
    Citations: 71
  • Detection of the number of superimposed signals using modified MDL criterion: A random matrix approach
    A Bazzi, DTM Slock, L Meilhac
    2016 IEEE International Conference on Acoustics, Speech and Signal … , 2016
    2016
    Citations: 70
  • Deep learning-based estimation for multitarget radar detection
    M Delamou, A Bazzi, M Chafii, EM Amhoud
    2023 IEEE 97th vehicular technology conference (VTC2023-Spring), 1-5 , 2023
    2023
    Citations: 67
  • Low dynamic range for RIS-aided bistatic integrated sensing and communication
    A Bazzi, M Chafii
    IEEE Journal on Selected Areas in Communications 43 (3), 912-927 , 2025
    2025
    Citations: 66
  • A Newton-type Forward Backward Greedy method for multi-snapshot compressed sensing
    A Bazzi, DTM Slock, L Meilhac
    2017 51st asilomar conference on signals, systems, and computers, 1178-1182 , 2017
    2017
    Citations: 64
  • Sparse recovery using an iterative variational Bayes algorithm and application to AoA estimation
    A Bazzi, DTM Slock, L Meilhac
    2016 IEEE International Symposium on Signal Processing and Information … , 2016
    2016
    Citations: 62
  • Online angle of arrival estimation in the presence of mutual coupling
    A Bazzi, DTM Slock, L Meilhac
    2016 IEEE Statistical Signal Processing Workshop (SSP), 1-4 , 2016
    2016
    Citations: 58
  • Mutual Information Based Pilot Design for ISAC
    A Bazzi, M Chafii
    IEEE Transactions on Communications , 2025
    2025
    Citations: 53
  • Fundamental performance limits of mm-wave cooperative localization in linear topologies
    VA Reddy, A Bazzi, GL StĂĽber, S Al-Dharrab, W Mesbah, AH Muqaibel
    IEEE Wireless Communications Letters 9 (11), 1899-1903 , 2020
    2020
    Citations: 49
  • Method for decoding an rf signal bearing a sequence of symbols modulated by cpm and associated decoder
    A BAZZI, L Meilhac
    US Patent 11,496,343 , 2022
    2022
    Citations: 46
  • Robust music estimation under array response uncertainty
    A Bazzi, D Slock
    ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and … , 2020
    2020
    Citations: 46
  • Multi-functional RIS for a multi-functional system: Integrating sensing, communication, and wireless power transfer
    A Magbool, V Kumar, A Bazzi, MF Flanagan, M Chafii
    IEEE Network 39 (1), 71-79 , 2024
    2024
    Citations: 44

Publications

Journals
A. Bazzi* and M. Chafii, “Low Dynamic Range for RIS-aided Bistatic Integrated Sensing and Communication,” in IEEE Journal on Selected Areas in Communications, doi: 10.1109/. [paper][arXiv]
A. Magbool, V. Kumar, A. Bazzi, M. F. Flanagan and M. Chafii, “Multi-Functional RIS for a Multi-Functional System: Integrating Sensing, Communication, and Wireless Power Transfer,” in IEEE Network, doi: 10.1109/
S. Naoumi, A. Bazzi*, R. Bomfin and M. Chafii “Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC”, in IEEE Journal of Selected Topics in Signal Processing, March. 2024.[paper][arXiv][code]
A. Chowdary, A. Bazzi* and M. Chafii, “On Hybrid Radar Fusion for Integrated Sensing and Communication,” in IEEE Transactions on Wireless Communications, doi: 10.1109/. [paper][arXiv]
A. Bazzi* and M. Chafii, “Secure Full Duplex Integrated Sensing and Communications,” in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 2082-2097, 2024, doi: 10.1109/. [paper][arXiv][nyuscholars]
A. Bazzi* and M. Chafii, “On Integrated Sensing and Communication Waveforms With Tunable PAPR,” in IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 7345-7360, Nov. 2023, doi: 10.1109/. [paper][arXiv][nyuscholars][acm]
A. Bazzi* and M. Chafii, “On Outage-Based Beamforming Design for Dual-Functional Radar-Communication 6G Systems,” in IEEE Transactions on W

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

A. Bazzi and L. Meilhac. “Method for decoding an rf signal bearing a sequence of symbols modulated by cpm and associated U.S. Patent No. 11,496,343. 8 Nov. 2022.[Google Patents][FPO][US11496343]
L. Meilhac and A. Bazzi. “Digital pre-distortion method for OFDM-based communication U.S. Patent No. 11,303,310. 12 Apr. 2022.[Google Patents][FPO][US11303310]
L. Meilhac and A. Bazzi. “Pre-coding steering matrix for MU-MIMO communication U.S. Patent No. 10,686,500. 16 Jun. 2020.[Google Patents][FPO][US10686500]