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-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260413T110000
DTEND;TZID=Asia/Hong_Kong:20260413T123000
DTSTAMP:20260511T065753
CREATED:20260410T042404Z
LAST-MODIFIED:20260410T044306Z
UID:115573-1776078000-1776083400@ece.hku.hk
SUMMARY:Seminar on Mechanism Design for the Evolving Landscape of Sustainable Power Systems
DESCRIPTION:Abstract\nModern power systems are undergoing rapid transformation driven by the integration of emerging technologies\, diverse participants\, and innovative business models. These changes offer unprecedented opportunities to enhance system reliability within existing infrastructure\, reduce electricity costs\, and accelerate renewable energy adoption. However\, they also introduce complex market interactions that require rigorous analytical frameworks to ensure efficiency\, fairness\, and sustainability. \nIn this talk\, the speaker will discuss our recent research on leveraging game-theoretic modelling to analyse and design mechanisms for these evolving power systems. His studies examine the impacts of coincident peak-shaving programs and energy storage participation in wholesale electricity markets through competitive equilibrium models. He also explores optimal pricing strategies for voluntary renewable energy contracts that promote large-scale renewable deployment. Together\, these results underscore the importance of a principled understanding of emerging market structures and provide guidance for designing future policies that balance economic efficiency\, reliability\, and sustainability in power systems. \nSpeaker\nProf. Bolun XU\nAssistant Professor\,\nColumbia University \nSpeaker’s Biography\nProf. Bolun XU is an Assistant Professor in Earth and Environmental Engineering at Columbia University\, with an affiliated appointment in Electrical Engineering. He received his PhD from the University of Washington and his M.S. from ETH Zurich\, both in Electrical Engineering. He also received dual bachelor degrees from Shanghai Jiaotong University and University of Michigan Ann Arbor in Electrical and Computer Engineering. Before joining Columbia\, he was a Postdoctoral Fellow at the MIT Energy Initiative. His research focuses on the design and optimisation of sustainable energy and power systems and the integration of emerging technologies. He is a recipient of the NSF CAREER Award\, the Outstanding Young Investigator Award from the IISE Energy Systems Division\, and the Early Career Award from the INFORMS Energy\, Natural Resources\, and Environment (ENRE) Section. \nOrganiser\nProf. Yi WANG\nDepartment of Electrical and Computer Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20260413-1/
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/2026/04/1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260416T110000
DTEND;TZID=Asia/Hong_Kong:20260416T120000
DTSTAMP:20260511T065753
CREATED:20260413T041830Z
LAST-MODIFIED:20260413T042149Z
UID:115637-1776337200-1776340800@ece.hku.hk
SUMMARY:Seminar on Machine Learning for Integrated Sensing and Communication
DESCRIPTION:Abstract\nIntegrated sensing and communication (ISAC) is a key technology for the sixth-generation (6G) wireless networks\, where the same spectral and hardware resources are used for both communication and environmental sensing. Many optimization problems in ISAC require accurate sensing and communication channel models\, which are often difficult to obtain. Machine learning (ML) is a powerful tool for solving ISAC problems by enabling data-driven solutions that can bypass the reliance on explicit models. This talk will explore how ML techniques can improve ISAC performance beyond traditional optimisation approaches. Two case studies will be discussed: sensing-assisted predictive beamforming and cooperative sensing through ML. These examples will demonstrate the potential of ML to enable end-to-end signal processing for ISAC in 6G wireless networks. \nSpeaker\nProf. Vincent WONG\nProfessor\,\nDepartment of Electrical and Computer Engineering\,\nUniversity of British Columbia\, Vancouver\, Canada \nSpeaker’s Biography\nVincent WONG is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia\, Vancouver\, Canada. His research areas include protocol design\, optimisation\, and resource management of communication networks\, with applications to the Internet\, wireless networks\, smart grid\, mobile edge computing\, and Internet of Things. Dr. Wong is the Editor-in-Chief of the IEEE Transactions on Wireless Communications. He is a Fellow of the IEEE\, Canadian Academy of Engineering\, and the Engineering Institute of Canada. \nOrganisers\nProf. Kaibin HUANG & Prof. Xianhao CHEN\nDepartment of Electrical and Computer Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20260416-2/
LOCATION:Room CB-601J\, 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/2026/04/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260425T090000
DTEND;TZID=Asia/Hong_Kong:20260425T173000
DTSTAMP:20260511T065753
CREATED:20260310T093703Z
LAST-MODIFIED:20260326T023321Z
UID:115286-1777107600-1777138200@ece.hku.hk
SUMMARY:HKUECE: RoboLeague 2026 cum RoboCup Junior China Open (Hong Kong)
DESCRIPTION:*** Application deadline is on April 2\, 2026 (Thursday) at 8:00 pm ***\n\n🚀 Join the Excitement of Robotics!\n🌟 Please stay tuned to event-day announcements for any schedule adjustments or important updates! 🤩 \nCompetition Details\n📅 Date: April 25\, 2026 (Saturday)\n🕒 Time: 9:00 am – 5:30 pm\n📍Venue: The University of Hong Kong \nCompetition Description\nEngage your autonomous robots in thrilling challenges: \n– Soccer League (Open) （足球公開租）\n– Soccer League (Lightweight) （足球輕量組）\n– Soccer League (Standard Platform) （足球標準平台組）\n– Rescue League (Line) （搜救循線組）\n– Rescue League (Maze) （搜救迷宮組）\n– Mini-rescue League （迷你救援組） \nWho Can Join?\nTarget Audience: Secondary School Students Team\nFormation: 2-4 students ( any Forms ) per team from the same school \nKey Dates\n*Briefing Session: \n📅 Date: March 28\, 2026 (Saturday) @1:00 pm\n📍Venue: Online via Zoom \n*Application Deadline: \n📅 Date: April 2\, 2026 (Thursday) @8:00 pm \nRegistration & More Details\nhttps://linktr.ee/hkuecerl \nEnquiries\nPlease contact us via WhatsApp at 5793 9462 or email at hkuecerl@gmail.com\, using the subject line “HKUECERL2026 Enquiry”.
URL:https://ece.hku.hk/events/rl2026/
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2026/03/1280-3.jpg
END:VEVENT
END:VCALENDAR