Turning CSI Into a Camera NYU Abu Dhabi’s Ahmad Bazzi to Keynote IMSENSORS2026 on 6G Imaging

Las Vegas, NV

At IMSENSORS2026, part of INSCITECH SUMMITS, Research Scientist Ahmad Bazzi (NYU Abu Dhabi / NYU WIRELESS) will deliver a keynote titled “CSI as a Camera: Imaging the 6G World.” The talk explores how channel state information (CSI), already measured in modern wireless systems for reliable connectivity which can be repurposed into a practical imaging signal for integrated sensing and communications (ISAC).

From Multipath to 3D Scene Reconstruction

Bazzi’s keynote makes the case that 6G networks won’t stop at data delivery because they will increasingly become network-native sensors that continuously infer and update a geometric understanding of their surroundings. That capability underpins emerging 6G ambitions such as digital twins, environment-aware beam management, and sensing-assisted mobility.

The core idea is to treat each resolvable multipath component (with measurable delay and departure/arrival angles) as evidence of where radio waves interacted with the environment. Instead of relying on simplified single-bounce assumptions, the approach converts real-world propagation effects, such as multi-bounce reflections, diffraction, and scattering into equivalent reflection points (ERPs). When aggregated across transmitter/receiver pairs, these ERPs can be fused into dense 3D point clouds that recover object structure.

What the Keynote Covers

Attendees will see how the framework estimates geometry using a two-segment reflection-point optimization strategy:

• Separately estimates the path lengths from TX → ERP and ERP → RX
• Enforces consistency with the measured delay
• Minimizes mismatch between the inferred transmit and receive rays

Using NYURay simulations at 6.75 GHz (FR3), the results show reconstructions that capture edges, planar surfaces, and curved features across varied targets, including natural and metallic objects and a vehicle-like silhouette. The talk also confronts the real question that matters: what it takes to move beyond “simulation-perfect CSI” toward robust, real-time imaging under constraints like bandwidth, SNR, and hardware impairments.

Built on Peer-Reviewed Research

The keynote builds on Bazzi’s invited paper:

A. Bazzi, M. Ying, O. Kanhere, T. S. Rappaport and M. Chafii, “ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G,” IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation, doi: 10.1109/JSTEAP.2025.3605877.

The paper presents an ISAC imaging framework that maps per-path CSI components into 3D ERPs and demonstrates multi-bounce imaging with wireless ray tracing at 6.75 GHz.

Ahmad Bazzi, Research Scientist at NYU Abu Dhabi / NYU WIRELESS, will deliver a keynote titled “CSI as a Camera: Imaging the 6G World” at IMSENSORS2026 (INSCITECH SUMMITS) on March 8, 2026, in Kuala Lumpur, Malaysia. More information can be found on:

https://inscitechsummits.com/2026/sensors/keynote-speakers

About Ahmad Bazzi

Ahmad Bazzi is a Research Scientist at NYU Abu Dhabi and NYU WIRELESS (NYU Tandon School of Engineering), working on integrated sensing and communications (ISAC). He earned his PhD in Electrical Engineering from EURECOM (2017) and an MSc (summa cum laude) from CentraleSupélec (2014). Previously, he led algorithm and signal processing efforts at CEVA-DSP (Sophia Antipolis), contributing to high-performance Wi-Fi (802.11ax) and Bluetooth modem and scheduling technologies, with multiple patents implemented in commercial products. He is a Senior Member of IEEE and Sigma Xi. He also publishes technical lectures on YouTube under “Ahmad Bazzi,” with 270,000+ subscribers and 17M+ views (as of Nov 2024).