
We explore the synergy between sensor data and large language models to create intelligent systems that understand and interpret the world through a fusion of modalities. This research area focuses on developing novel approaches that combine traditional sensing technologies with modern AI to create more intuitive and responsive systems.
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We pioneer the development of efficient machine learning algorithms for ultra-low-power edge devices, enabling intelligent sensing in resource-constrained environments. This research is crucial for IoT applications and sustainable computing.
Funding: National Science Foundation
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We leverage artificial intelligence to revolutionize behavioral health, providing innovative tools for diagnosis, monitoring, and treatment to improve developmental and mental well-being. Our interdisciplinary approach combines AI with healthcare expertise.
Funding: National Institute of Health
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