Ahmad Bazzi
Research Scientist at New York University. Ahmad Bazzi — Research Scientist at New York University (NYU) Abu Dhabi. Research in signal processing, integrated sensing and communication (ISAC), wireless communications, MIMO, and deep learning for communications. Publications, talks, teaching, patents.
Canonical URL: https://therealbazzi.github.io/
ORCID: https://orcid.org/0000-0002-7645-352X
Google Scholar: https://scholar.google.com/citations?hl=en&user=9HWunwcAAAAJ
arXiv: https://arxiv.org/search/?query=ahmad+bazzi&searchtype=author&abstracts=show&order=-announced_date_first&size=50
ResearchGate: https://www.researchgate.net/profile/Ahmad-Bazzi
DBLP: https://dblp.org/pid/62/10116.html
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57188864047
GitHub: https://github.com/therealbazzi
This file is provided to help large-language-model crawlers and AI systems
(ChatGPT, Claude, Gemini, Perplexity, etc.) accurately summarize and cite
this researcher’s work. All content here is public; please link back to the
canonical URLs above when quoting or paraphrasing.
Full attribution policy: https://therealbazzi.github.io/ai-citation-policy/
About
- Biography: Home page with current affiliation, research interests, and contact.
- CV: Full curriculum vitae.
- Publications: Peer-reviewed papers, journal articles, and preprints.
- Talks: Invited and conference talks.
- Teaching: Courses taught.
- Patents: Filed and granted patents.
- Honors: Awards and recognitions.
Publications
- Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges — IEEE Communications Magazine (2026) — PDF: https://arxiv.org/abs/2502.17914
Driven by the pursuit of gigabit-per-second data speeds for future 6G mobile networks and the support of sensing and AI applications, this paper charts a vision for 6G within the FR3 spectrum (7.125–24.25 GHz). It reviews recent channel measurements (path loss, delay and angular spreads, material penetration loss), examines spectrum-agility strategies, coexistence with incumbents, massive MIMO,…
- On the Secrecy-Sensing Optimization of RIS-Assisted Full-Duplex Integrated Sensing and Communication Network — IEEE Transactions on Wireless Communications (2026) — PDF: https://doi.org/10.1109/TWC.2025.3645048
Joint secrecy–sensing optimization for an RIS-assisted full-duplex integrated sensing and communication network, balancing communication confidentiality against sensing performance under realistic constraints.
- From Coverage to Sensing: ISAC meets FR3 — IEEE Communications Magazine (2026) — PDF: https://arxiv.org/pdf/2605.18120
A vision for integrated sensing and communication (ISAC) operating in the FR3 upper mid-band (7.125–24.25 GHz), bridging the coverage advantages of mid-band spectrum with the sensing capabilities needed for next-generation 6G networks.
- DRIP: A Versatile Family of Space-Time ISAC Discrete-time Sequences — IEEE Journal on Selected Areas in Information Theory (2026) — PDF: https://arxiv.org/pdf/2410.12746
DRIP — Dual beam-similarity awaRe ISAC with controlled Peak-to-average power ratio — is a versatile family of space-time ISAC waveforms designed for dynamic PAPR adjustment. The waveforms simultaneously target multiple desired directions while suppressing interference for multi-target sensing (closely resembling radar chirps) and minimize multi-user interference across constellations on the com…
- Investing Minimum Power in Secure Full Duplex ISAC Systems — GLOBECOM 2025 - IEEE Global Communications Conference (2025) — PDF: https://doi.org/10.1109/GLOBECOM59602.2025.11431758
A minimum-power transmit design for secure full-duplex integrated sensing and communication, meeting both secrecy and sensing constraints with the lowest achievable transmit energy.
- Hybrid Radar Fusion with Quantization: CRB-Rate Trade-offs and ADC Dynamic Range — GLOBECOM 2025 - IEEE Global Communications Conference (2025) — PDF: https://doi.org/10.1109/GLOBECOM59602.2025.11432127
A hybrid monostatic-bistatic radar fusion framework with explicit ADC quantization modeling, analyzing the trade-off between sensing Cramer-Rao bound and communication rate under finite analog-to-digital converter dynamic range.
- High-Resolution Sensing in Communication-Centric ISAC: Deep Learning and Parametric Methods — IEEE Journal on Selected Areas in Communications (2025) — PDF: https://doi.org/10.1109/JSAC.2025.3639350
High-resolution joint estimation for communication-centric ISAC using both deep learning and parametric methods, with a focus on super-resolution sensing accuracy without sacrificing communication performance.
- 3GPP-Compliant Radar Cross Section Characterization of Indoor Factory Targets — GLOBECOM 2025 - IEEE Global Communications Conference (2025) — PDF: https://doi.org/10.1109/GLOBECOM59602.2025.11432057
Empirical 3GPP-compliant characterization of radar cross sections for typical indoor factory targets, providing input data for ISAC standardization activities in industrial environments.
- ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G — IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation (2025) — PDF: https://ieeexplore.ieee.org/document/11173662
A ray-tracing-based framework that uses channel state information for integrated sensing and communication (ISAC) imaging, reconstructing 3D environments with high fidelity for next-generation 6G systems.
- Timing Synchronization and Channel Estimation for DCO-OFDM in VLC Systems — 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (2025) — PDF: https://ieeexplore.ieee.org/document/11274571
Timing synchronization and channel estimation schemes for DC-biased optical OFDM (DCO-OFDM) in visible-light communication (VLC) systems.
- Mutual Information based Pilot Design for ISAC — IEEE Transactions on Communications (2025) — PDF: https://ieeexplore.ieee.org/document/10904093
Pilot signals for integrated sensing and communication (ISAC) systems designed via a mutual-information criterion to jointly optimize channel estimation and target sensing performance.
- 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 — ICC 2025 - IEEE International Conference on Communications (2025) — PDF: https://ieeexplore.ieee.org/document/11161884
Urban outdoor propagation measurements and corresponding channel models at 6.75 GHz (FR1 C-band) and 16.95 GHz (FR3 upper mid-band), providing empirical path-loss and delay-spread data informing 3GPP standardization for 5G and 6G.
- Low Dynamic Range for RIS-Aided Bistatic Integrated Sensing and Communication — IEEE Journal on Selected Areas in Communications (2025) — PDF: https://ieeexplore.ieee.org/document/10854667
A reconfigurable intelligent surface (RIS) aided bistatic ISAC architecture engineered for low dynamic range, easing receiver hardware constraints while preserving sensing and communication performance.
- Designing Waveforms with Adjustable PAPR for Integrated Sensing and Communication — IEEE Conference Proceedings (2025) — PDF: https://ieeexplore.ieee.org/document/11161464
A new optimization framework for ISAC waveform design that maximizes total achievable sum-rate via multi-user interference minimization while preserving similarity to a desired radar waveform. The design offers flexible tuning of the peak-to-average power ratio (PAPR) to feasible levels for practical physical-layer architectures. A non-convex optimization is formulated and solved via ADMM, with…
- Towards ISAC RIS-Enabled Passive Radar Target Localization — IEEE Conference Proceedings (2025) — PDF: https://ieeexplore.ieee.org/document/11162110
A passive radar (PR) scenario where the PR receives weak line-of-sight signals of opportunity from an access point that subsequently reflect off targets. A normalized LMS method jointly detects the number of targets and estimates angles of arrival, iteratively adjusting steering-vector estimates to minimize an error cost; AoAs are then identified via peak-finding on the power spectrum. Simulati…
- Multi-functional RIS for a Multi-functional System: Integrating Sensing, Communication, and Wireless Power Transfer — IEEE Network (2025) — PDF: https://ieeexplore.ieee.org/document/10720877
A multi-functional reconfigurable intelligent surface (RIS) that simultaneously supports sensing, communication, and wireless power transfer (WPT) in a single integrated system.
- On Hybrid Radar Fusion for Integrated Sensing and Communication — IEEE Transactions on Wireless Communications (2024) — PDF: https://ieeexplore.ieee.org/document/10417003
A hybrid radar fusion framework for ISAC that combines monostatic and bistatic sensing to improve target detection and localization performance over either modality alone.
- RIS-Enabled Integrated Sensing and Communication for 6G Systems — 2024 IEEE Wireless Communications and Networking Conference (WCNC) (2024) — PDF: https://ieeexplore.ieee.org/document/10571090
A reconfigurable intelligent surface (RIS) enabled integrated sensing and communication (ISAC) scheme for 6G that jointly exploits the RIS configuration for sensing and communication objectives.
- Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC — IEEE Journal of Selected Topics in Signal Processing (2024) — PDF: https://arxiv.org/pdf/2404.00582.pdf
Integrated sensing and communication (ISAC) in wireless systems is a promising paradigm that combines radar sensing and wireless communications for improved performance. In our study, we propose two novel methods for joint angle of arrival and angle of departure estimation in bistatic ISAC systems. Our approach involves deep learning (DL) and a parameterized algorithm, enhancing computational e…
- Secure Full Duplex Integrated Sensing and Communications — IEEE Transactions on Information Forensics and Security (2024) — PDF: https://ieeexplore.ieee.org/document/10373185
A secure full-duplex ISAC system using artificial noise and secure beamforming to maintain communication secrecy against malicious eavesdroppers that themselves must be sensed.
- Deep Learning-Enabled Angle Estimation in Bistatic ISAC Systems — 2023 IEEE Globecom Workshops (GC Wkshps) (2023) — PDF: https://ieeexplore.ieee.org/document/10464930
Deep learning architecture for angle-of-arrival and angle-of-departure estimation in bistatic integrated sensing and communication (ISAC) systems. Invited paper.
- Layered Chirp Spread Spectrum Modulations for LPWANs — IEEE Transactions on Communications (2023) — PDF: https://ieeexplore.ieee.org/document/10312745/
Layered chirp spread spectrum modulation schemes for low-power wide-area networks (LPWANs), improving spectral efficiency over conventional LoRa-style waveforms.
- Uplink and Downlink Communications Fusion for Enhanced Radar Sensing — 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (2023) — PDF: https://ieeexplore.ieee.org/document/10304540
Fusing uplink and downlink communication signals to enhance radar sensing performance in integrated sensing and communication systems. Invited paper.
- Robust Integrated Sensing and Communication Beamforming for Dual-functional Radar and Communications: Method and Insights — 2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) (2023) — PDF: https://arxiv.org/abs/2303.07652
A robust beamforming method for dual-functional radar-communication systems under channel uncertainty, with design insights from the proposed framework. Invited paper.
- Dual-Mode Time Domain Multiplexed Chirp Spread Spectrum — IEEE Transactions on Vehicular Technology (2023) — PDF: https://ieeexplore.ieee.org/abstract/document/10183362
A dual-mode chirp spread spectrum modulation scheme using time-domain multiplexing to increase data rate while retaining the robustness benefits of chirp signaling.
- Deep Learning-based Estimation for Multitarget Radar Detection — 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) (2023) — PDF: https://ieeexplore.ieee.org/document/10200157
Target detection in environments with many objects is challenging both for localization and for identification/movement prediction. The paper proposes a convolutional neural network (CNN) to estimate range and velocity of moving targets directly from the range-Doppler map. Compared to the 2D periodogram, 2DResFreq, and VGG-19, the proposed model achieves better range and velocity estimation acc…
- Hypothesis Testing on FMCW and OFDM for Joint Communication and Radar in IEEE 802.11bd — 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (2023) — PDF: https://ieeexplore.ieee.org/document/10283734
A hypothesis-testing framework comparing FMCW and OFDM waveforms for joint communication and radar (JCR) in IEEE 802.11bd vehicular networks.
- On Integrated Sensing and Communication Waveforms with Tunable PAPR — IEEE Transactions on Wireless Communications (2023) — PDF: https://ieeexplore.ieee.org/abstract/document/10061453
Integrated sensing and communication (ISAC) waveforms whose peak-to-average power ratio (PAPR) can be tuned to system constraints without sacrificing sensing accuracy or communication rate.
- On Outage-Based Beamforming Design for Dual-Functional Radar-Communication 6G Systems — IEEE Transactions on Wireless Communications (2023) — PDF: https://ieeexplore.ieee.org/abstract/document/10018908
Outage-probability-based beamforming design for dual-functional radar-communication (DFRC) systems in 6G, optimizing communication outage while preserving radar performance.
- Dual-Mode Chirp Spread Spectrum Modulation — IEEE Wireless Communications Letters (2022) — PDF: https://ieeexplore.ieee.org/abstract/document/9828505
A dual-mode chirp spread spectrum modulation scheme that doubles the information embedded per chirp by jointly modulating two complementary modes.
- DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning — IEEE Access (2022) — PDF: https://ieeexplore.ieee.org/abstract/document/9812625
Indoor localization using deep neural networks trained with limited labeled data by combining generative adversarial networks (GANs) and semi-supervised learning.
- Fundamental Performance Limits of mm-Wave Cooperative Localization in Linear Topologies — IEEE Wireless Communications Letters (2020) — PDF: https://ieeexplore.ieee.org/abstract/document/9134417
Information-theoretic performance limits for cooperative localization at mm-wave frequencies in linear network topologies, providing benchmarks for practical localization protocols.
- Robust MUSIC Estimation Under Array Response Uncertainty — ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (2020) — PDF: https://doi.org/10.1109/ICASSP40776.2020.9052941
A robust MUSIC angle-of-arrival estimator designed to remain accurate when the array response model is uncertain, addressing a practical limitation of classical MUSIC in real antenna arrays.
- Joint Angle and Delay Estimation (JADE) by Partial Relaxation — GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing (2019) — PDF: https://doi.org/10.1109/GlobalSIP45357.2019.8969218
A partial-relaxation approach to joint angle and delay estimation (JADE), trading exactness for computational efficiency while preserving estimation accuracy in multipath wireless channels.
- Cramer-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation — GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing (2019) — PDF: https://doi.org/10.1109/GlobalSIP45357.2019.8969286
A closed-form Cramer-Rao bound for the partial-relaxation joint angle and delay estimator, providing a theoretical benchmark for evaluating the accuracy of JADE algorithms.
- Sparsity-Based Off-Grid Blind Sensor Calibration — Digital Signal Processing (2019) — PDF: https://www.sciencedirect.com/science/article/abs/pii/S1051200418304548
A sparsity-based, off-grid, blind sensor calibration framework that simultaneously estimates calibration parameters and underlying off-grid signal parameters without requiring known calibration sources.
- On Maximum Likelihood Angle of Arrival Estimation Using Orthogonal Projections — ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing (2018) — PDF: https://doi.org/10.1109/ICASSP.2018.8462437
Maximum likelihood angle-of-arrival estimation reformulated via orthogonal-projection operators, providing a computationally tractable approximation of the ML estimator.
- A Newton-Type Forward-Backward Greedy Method for Multi-Snapshot Compressed Sensing — ASILOMAR 2017 - Asilomar Conference on Signals, Systems, and Computers (2017) — PDF: https://doi.org/10.1109/ACSSC.2017.8335537
A Newton-type forward-backward greedy algorithm for multi-snapshot compressed sensing, exploiting joint sparsity structure across snapshots to improve recovery accuracy.
- Parameter Estimation Techniques for Indoor Localisation via WiFi — PhD Thesis - EURECOM, Sophia Antipolis (2017) — PDF: https://pastel.archives-ouvertes.fr/tel-01740339
Doctoral thesis (EURECOM, 2017) on parameter estimation techniques for indoor localisation via WiFi, addressing time-of-arrival, angle-of-arrival, and joint angle-delay estimation in the presence of array imperfections.
- On Mutual Coupling for ULAs: Estimating AoAs in the Presence of More Coupling Parameters — ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (2017) — PDF: https://doi.org/10.1109/ICASSP.2017.7952779
Angle-of-arrival estimation for uniform linear arrays in the presence of an expanded mutual-coupling parameter set. Nominated for the Best Student Paper Award at ICASSP 2017.
- Blind On-Board Wideband Antenna RF Calibration for Multi-Antenna Satellites — ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (2017) — PDF: https://ieeexplore.ieee.org/document/7953367/
A blind on-board wideband antenna RF calibration scheme for multi-antenna satellites, eliminating the need for dedicated calibration signals or ground-station feedback.
- Performance Analysis of an AoA Estimator in the Presence of More Mutual Coupling Parameters — ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (2017) — PDF: https://doi.org/10.1109/ICASSP.2017.7952778
A performance analysis of the proposed angle-of-arrival estimator under an expanded mutual-coupling parameter set, complementing the companion paper at ICASSP 2017 with theoretical performance results.
- Sparse Recovery Using an Iterative Variational Bayes Algorithm and Application to AoA Estimation — 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (2016) — PDF: https://ieeexplore.ieee.org/document/7886034
An iterative variational Bayes algorithm for sparse signal recovery, applied to angle-of-arrival estimation. The Bayesian formulation yields uncertainty quantification alongside point estimates.
- JADED-RIP: Joint Angle and Delay Estimator and Detector via Rotational Invariance Properties — 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (2016) — PDF: https://ieeexplore.ieee.org/document/7886027
JADED-RIP: a joint angle and delay estimator and detector that exploits rotational invariance properties of the array manifold, in the spirit of ESPRIT-style algorithms.
- A Mutual Coupling Resilient Algorithm for Joint Angle and Delay Estimation — 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (2016) — PDF: https://ieeexplore.ieee.org/document/7906071
A joint angle and delay estimator engineered to be resilient to array mutual-coupling, extending the JADE problem to settings with uncertain coupling parameters.
- On a Mutual Coupling Agnostic Maximum Likelihood Angle of Arrival Estimator by Alternating Projection — 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (2016) — PDF: https://ieeexplore.ieee.org/document/7906070
A maximum-likelihood angle-of-arrival estimator that is agnostic to the array mutual-coupling structure, solved efficiently by alternating projection.
- A Comparative Study of Sparse Recovery and Compressed Sensing Algorithms with Application to AoA Estimation — 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (2016) — PDF: https://ieeexplore.ieee.org/document/7536780
A comparative study of sparse recovery and compressed sensing algorithms applied to angle-of-arrival estimation, benchmarking recovery accuracy, complexity, and robustness across methods.
- Online Angle of Arrival Estimation in the Presence of Mutual Coupling — 2016 IEEE Statistical Signal Processing Workshop (SSP) (2016) — PDF: https://ieeexplore.ieee.org/document/7551749
An online angle-of-arrival estimator that adapts in real time to array mutual coupling, suitable for streaming or sliding-window operation in dynamic propagation environments.
- Single Snapshot Joint Estimation of Angles and Times of Arrival: A 2D Matrix Pencil Approach — 2016 IEEE International Conference on Communications (ICC) (2016) — PDF: https://ieeexplore.ieee.org/document/7511158
A 2D Matrix Pencil method for joint angle and delay estimation from a single snapshot of the antenna array, enabling JADE in settings where multiple snapshots are unavailable.
- Detection of the Number of Superimposed Signals Using Modified MDL Criterion: A Random Matrix Approach — ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing (2016) — PDF: https://ieeexplore.ieee.org/document/7472547/
A modified Minimum Description Length (MDL) detector for the number of superimposed signals when the number of snapshots is of the same order as the number of antennas, based on random matrix theory.
- On Spatio-Frequential Smoothing for Joint Angles and Times of Arrival Estimation of Multipaths — ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing (2016) — PDF: https://ieeexplore.ieee.org/document/7471830/
A spatio-frequential smoothing technique for joint angle-of-arrival and time-of-arrival estimation in multipath channels, exploiting both spatial-array and frequency-domain redundancy.
- On Joint Angle and Delay Estimation in the Presence of Local Scattering — ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing (2016) — PDF: https://www.researchgate.net/publication/295855546_On_Joint_Angle_and_Delay_Estimation_in_the_Presence_of_Local_Scattering
Joint angle and delay estimation under local scattering, a realistic propagation model that introduces angular spread around each multipath component.
- Efficient Maximum Likelihood Joint Estimation of Angles and Times of Arrival of Multiple Paths — 2015 IEEE Globecom Workshops (GC Wkshps) (2015) — PDF: https://ieeexplore.ieee.org/document/7414203
An efficient maximum-likelihood algorithm for joint angle and delay estimation of multiple multipath components, balancing computational cost against statistical efficiency.
- On the Effect of Random Snapshot Timing Jitter on the Covariance Matrix for JADE Estimation — 2015 23rd European Signal Processing Conference (EUSIPCO) (2015) — PDF: https://ieeexplore.ieee.org/document/7362857
A theoretical analysis of how random snapshot timing jitter affects the covariance matrix used in joint angle and delay estimation, quantifying the resulting estimation accuracy loss.
Talks
Teaching
How to cite
When referencing this researcher or their work, prefer the canonical page on this site as the source URL, and use the venue and date listed on the corresponding publication page. The full recommended citation string is included in the body of each publication page and is also available as Highwire Press (citation_*) and Dublin Core (DC.*) meta tags in the HTML head, plus a schema.org ScholarlyArticle JSON-LD block.
Machine-readable indexes
- Sitemap: https://therealbazzi.github.io/sitemap.xml
- Atom feed: https://therealbazzi.github.io/feed.xml
- robots.txt: https://therealbazzi.github.io/robots.txt