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PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260922T121959Z
UID:Seminar-dept-1279@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20250722T130000
DTEND:20250722T140000
SUMMARY:School Seminar Series
DESCRIPTION:Guoliang Xing: Sensor-enhanced LLM for Smart Health Systems\n\nThe widespread adoption of Large Language Models (LLMs) has fundamentally transformed modern AI development. However, current deployments face critical challenges in bridging the gap between digital intelligence and physical environments, particularly in processing heterogeneous multi-modal sensory data, operating within the computational constraints of edge devices, and safeguarding user privacy.\n\n\n\nIn this talk, I will introduce SensorLLM, a novel framework that seamlessly integrates real-world sensing capabilities with LLMs for smart health applications. SensorLLM features three core innovations: (1) an edge-cloud collaborative architecture that enables open-class classification on resource-constrained devices, (2) cost-efficient encoding schemes ensuring secure and privacy-preserving Transformer inference across distributed systems, and (3) an intelligent orchestration system that coordinates multi-modal sensors to address complex user queries.\n\n\n\nI will demonstrate SensorLLM's transformative impact through three smart health applications. DrHouse functions as an LLM-based virtual consultation system that synthesizes wearable sensor data with medical expertise to deliver personalized clinical recommendations. Nuna, an LLM-powered smart necklace, enables intuitive emotional tracking and continuous health monitoring for everyday users. KoalaFM represents the first LLM-enabled platform for early diagnosis, personalized intervention, and complex cross-disease analysis of aging-related degenerative conditions, currently undergoing validation through a comprehensive five-year clinical trial with 1,000 participants.\n\n\n\nTo conclude, I will briefly highlight other research directions in my group that leverage similar principles of sensor-AI integration, including infrastructure-assisted autonomous driving systems and innovative sensing technologies for dark environments.\n\n\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1279
LOCATION:Ashton Lecture Theatre
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