BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250528T143000
DTEND;TZID=Asia/Hong_Kong:20250528T153000
DTSTAMP:20260509T211550
CREATED:20250603T025615Z
LAST-MODIFIED:20250626T083737Z
UID:111508-1748442600-1748446200@ece.hku.hk
SUMMARY:Seminar on Human-AI Ecosystems for Daily Health and Well-being
DESCRIPTION:Abstract\nAs the intelligence of everyday smart devices continues to evolve\, they can already monitor basic health behaviors such as physical activities and heart rates. The vision of an intelligent health monitoring and intervention pipeline seems to be within reach. How do we get there? \nIn this talk\, I will introduce a comprehensive pipeline that connects AI\, end-users\, and health experts. For end-users\, I will introduce our work that bridges behavior science theory-driven intervention designs and generalizable behavior models. I will also introduce my efforts on passive sensing datasets\, human-centered algorithms & large language models (LLMs)\, as well as a benchmark platform that drives the community toward more robust and deployable health systems for both end-users and experts. \nSpeaker\nProf. Xuhai (Orson) XU\nAssistant Professor\,\nColumbia University \nSpeaker’s Biography\nXuhai (Orson) XU is an Assistant Professor at Columbia University\, Department of Biomedical Informatics and Department of Computer Science (by courtesy)\, where he directs the SEA (Sense\, Empower\, and Augment) Lab. He is also a visiting faculty researcher at Google. He received his PhD at the University of Washington in 2023 and was a postdoc at MIT until 2024. Specializing in human-computer interaction\, applied machine learning\, and health\, Xu develops deployable behavior modeling algorithms to monitor various health and well-being conditions using everyday sensor data and health records. He further designs and deploys intelligent intervention & interaction techniques that help users achieve personal health and well-being goals and support health experts in making decisions. Xu has earned several awards\, including several Best Paper\, Best Paper Honorable Mention\, and Best Artifact awards. His research has been covered by media outlets such as the Washington Post and ACM News. He was recognized as the Outstanding Student Award Winner at UbiComp 2022\, the 2023 UW Distinguished Dissertation Award\, and the 2024 Innovation and Technology Award at the Western Association of Graduate Schools. \nSEA Lab is actively hiring PhD students with the background of HCI\, mobile sensing\, and applied AI\, with the focus in health applications. \nOrganiser\nProf. Edith C.H. NGAI\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20250528-2/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/06/1280-5.jpg
END:VEVENT
END:VCALENDAR