AI-Powered Radar Systems for Enhancing Care in Long-Term Facilities
As populations age, the demand for safe, effective, and scalable solutions in long-term care continues to grow. Conventional monitoring approaches—such as cameras or wearable devices—raise concerns related to privacy, compliance, and user acceptance. Radar, combined with artificial intelligence, offers a promising alternative for unobtrusive and privacy-preserving monitoring of residents in care facilities. This talk will present recent advances in the design and deployment of AI-powered radar systems for long-term care applications. By enabling continuous, unobtrusive monitoring, these systems have the potential to support caregivers, reduce hospital transfers, and enhance overall quality of care. The talk will conclude with open challenges and future directions for scaling radar-based AI technologies across healthcare and aging-in-place settings.
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Dr. Hajar Abedi
AI-Powered Radar Systems for Enhancing Care in Long-Term Facilities
Biography:
Dr. Hajar Abedi is the co-founder and Chief Science Officer at Gold Sentintel, where she leads the development of AI-powered radar systems for healthcare and aging-in-place applications. She holds a PhD and postdoctoral fellowship from the University of Waterloo, with over 10 years of experience in radar system design and AI integration. Dr. Abedi has authored over 60 publications and patents and received multiple international awards for her contributions to radar and healthcare technology. She is also serving as the IEEE AP-S Young Professional Ambassador for 2025.
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