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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
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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
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BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251117T100000
DTEND;TZID=Asia/Hong_Kong:20251117T103000
DTSTAMP:20260511T143728
CREATED:20251111T043648Z
LAST-MODIFIED:20251111T043648Z
UID:113864-1763373600-1763375400@ece.hku.hk
SUMMARY:RPG Seminar – Scalable and Robust Energy Routing Optimization in Stochastic Vehicular Energy Network
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/94022031345 \nAbstract\nA vehicular energy network (VEN) enables energy transfer by leveraging electric vehicles as mobile carriers through wireless exchange across large geographic areas. A scalable and robust framework for energy routing in stochastic VENs with the objective of minimizing transmission loss is presented. The problem is formulated as a graph generalized flow optimization\, solvable to global optimality via linear programming. To ensure scalability\, a flow-guided graph reduction method is proposed\, which preserves critical supply-demand connectivity by prioritizing high-impact routes based on vehicular flow patterns. Building upon this\, a route-guided time-expanded graph construction strategy is developed to avoid exhaustive temporal replication by generating only time-relevant nodes and arcs along active routes. To address long-horizon stochasticity\, a long short-term memory-based model predictive control framework is designed\, which captures both randomness and uncertainty via data-driven forecasting and residual-aware robust correction under a rolling-horizon decomposition. The proposed methods are validated on real-world U.S. datasets\, demonstrating significant gains in computational efficiency\, scalability\, and solution robustness across both time-invariant and time-varying VENs. \nSpeaker\nMiss Yao TANG\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nYao Tang received her BEng in Electrical Engineering from Beijing Forestry University in 2019\, followed by an M.S. degree in Electrical Engineering from Hunan University. She is currently a Ph.D. candidate under the supervision of Prof. Yunhe Hou at the Department of Electrical and Electronic Engineering\, The University of Hong Kong. Her research focuses on applying AI and optimization to intelligent energy management in EV energy networks. \nOrganiser\nProf. Yunhe Hou\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251117-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251117T110000
DTEND;TZID=Asia/Hong_Kong:20251117T120000
DTSTAMP:20260511T143728
CREATED:20251106T070600Z
LAST-MODIFIED:20251110T064624Z
UID:113828-1763377200-1763380800@ece.hku.hk
SUMMARY:💡 Informational Webinar on the MSc(Eng)ICES (Integrated Circuits and Electronic Systems) Admissions for 2026/27 ✨
DESCRIPTION:MSc(Eng)ICES is a new programme jointly offered by the Department of Electrical & Electronic Engineering (EEE)\, Faculty of Engineering\, The University of Hong Kong (HKU) and the Center for Advanced Semiconductors and Integrated Circuits. Prof. Yuhao ZHANG and Prof. Han WANG\, the Programme Directors of the Master of Science in Integrated Circuits and Electronic Systems (MSc(Eng)ICES) programme and the committee members will give an online admissions talk via Zoom. \nPlease find the details as follows: \n📅 Date: November 17\, 2025 (Monday)\n🕒 Time: 11:00 am – 12:00 pm (HKT)\n🔗 Zoom Link: https://hku.zoom.us/j/94597307927\n📍 Meeting ID: 945 9730 7927 \nIn the talk\, details about the Integrated Circuits and Electronic Systems discipline\, career prospects\, programme structure\, and admission requirements will be covered. At the end of the talk\, an interesting interactive Q&A session is waiting for you. All students\, parents and teachers are welcome to attend the talk and be familiar with the latest admissions information. We are looking forward to seeing you! \nThe MSc(Eng)ICES application for 2026/27 is now open. To visit the admissions website\, please click HERE. 📝 \nRelated news: https://ece.hku.hk/20251010-1
URL:https://ece.hku.hk/events/20251117-1/
LOCATION:Online via Zoom
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/11/Untitled-1.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251117T140000
DTEND;TZID=Asia/Hong_Kong:20251117T150000
DTSTAMP:20260511T143728
CREATED:20251114T091828Z
LAST-MODIFIED:20251114T092941Z
UID:113901-1763388000-1763391600@ece.hku.hk
SUMMARY:RPG Seminar – Fast Spectroscopy and Chemical-Specific Microscopy in NIR-IIc Window Based on Advanced Fiber Laser
DESCRIPTION:Zoom Link: : https://hku.zoom.us/j/94746878840?pwd=YEf9BnbAPbuFS7TZl0jbE4qf5rty3N.1 \nAbstract\nThe NIR-IIc window (1600–2000 nm) offers exceptional potential for deep-tissue bioimaging. However\, progress has been hindered by the lack of suitable laser sources. To overcome the limitation\, we develop a suite of specialized laser systems tailored for the NIR-IIc region. In this talk\, several novel laser systems are introduced\, including a spectrally flat supercontinuum source for molecular discrimination\, a fiber-based oscillator for deep photoacoustic imaging of hydration dynamics\, a dual-wavelength optical parametric amplifier for multiplexed detection of materials such as microplastics\, and a dual-comb coherent Raman platform for hyperspectral validation. Collectively\, we hope that these novel laser light sources will provide new and effective solutions for exploring the NIR-IIc region. \nSpeaker\nMr. Huajun TANG\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nHuajun Tang received the B.S. degree and the master’s degree from the Huazhong University of Science and Technology (HUST)\, Wuhan\, China\, in 2016 and 2019. He is currently pursuing the Ph.D. degree in the Department of Electrical and Electronic Engineering at the University of Hong Kong\, under the supervision of Prof. Kenneth K.Y. Wong. His research interests include AI chips\, neuromorphic computing\, memory\, and VLSI design. \nOrganiser\nProf. Kenneth K.Y. Wong\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251117/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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