Team

Associate Professor of Computer Science; Director, Cybersecurity Education, Research and Outreach Center (CEROC)

AI-enabled resource management and generalizable AI under concept drift.

Coordinates the project. Leads surface channel prediction, shadowed-surface exclusion, continual learning, and end-to-end evaluation.

Associate Professor and Charlotte and Walter Buchanan Faculty Fellow, Electronic Systems Engineering Technology (ESET); Director, Generative AI Literacy Initiative, Texas A&M Institute of Data Science

Fresnel metallic reflector array (MRA) design, deployment, parameter configuration, channel measurement, and modeling.

Leads Texas A&M's part of the project, including the FR3 measurement campaign, the dynamic simulation platform, and channel-model validation.

David Lee/Ernst Weber Professor of Electrical Engineering, NYU Tandon School of Engineering; Founding Director, NYU WIRELESS

FR3 and high-frequency propagation measurements and channel modeling.

Advises the FR3 measurement campaign, channel modeling, and validation of the measured and synthetic data.

Professor of Wireless Systems; Head, Wireless Systems Group, Tampere Wireless Research Center

Reconfigurable intelligent surface (RIS) design, deployment, configuration, channel measurement, and modeling.

Leads interference-aware user assignment and surface configuration, and their evaluation. Hosts the FR3 RIS testbed at Tampere.

Professor, Department of Information and Communications Engineering, School of Electrical Engineering

AI-enabled beamforming and integrated sensing and communication (ISAC).

Leads the ISAC-driven context-awareness framework and the evaluation of AI adaptation strategies.