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Wireless and Ambient Sensing AI (WASAI): Algorithms, Models, and Applications

Welcome

Welcome to the website of the ICASSP 2027 Satellite Workshop Wireless and Ambient Sensing AI (WASAI): Algorithms, Models, and Applications. Wireless sensing using RF signals such as Wi-Fi, mmWave, UWB, RFID, and 5G/6G has transformed communication infrastructure into a ubiquitous sensing platform, enabling applications from presence detection and vital sign monitoring to fall detection and smart-space automation.

This workshop brings together researchers and practitioners to address two broad categories of open challenges: algorithmic challenges in cross-domain generalization, data-efficient foundation models, and few-/zero-shot adaptation; and systems-level challenges in sensing-communication coexistence, privacy-preserving sensing, multi-target scalability, and the growing gap between sensing-capable wireless standards and their commercial deployment.

The program features invited talks by leading experts, contributed presentations, and a panel discussion. See the Program page for the schedule and the Speakers page for talk details.

Topics

Submission Guidelines

Important Dates

Organizers

Beibei Wang (Vice President of Research, ADT Research)
Pu (Perry) Wang (Lead Research Scientist, MERL)
Chenshu Wu (Director, HKU AIoT Lab, University of Hong Kong)
For questions, please contact the organizers by e-mail.