AReS

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projects

AReS (Connectivity and Situational Awareness via AI-Enabled ISAC) aims to help first responders assess damaged environments, restore and adapt wireless connectivity, localize people and assets, and deliver real-time situational awareness. By enabling wireless networks to sense their surroundings as well as communicate, AReS supports more informed and coordinated disaster recovery.

Integrated Sensing and Communication Wireless AI Disaster Response
Rahman Doost-Mohammady
Authors
Rahman Doost-Mohammady
Associate Research Professor
I work at the intersection of computer systems and wireless networking — building programmable, intelligent infrastructure for 5G/6G and Open RAN. A common thread across my projects is algorithm and system design across FPGA, GPU, and CPU — spanning real-time massive MIMO baseband on commodity servers, many-antenna hardware platforms, and learning-driven schedulers. I am currently focused on virtualized Open RAN systems and ML-enabled RAN software design.