BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.16.0//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:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240304T150000
DTEND;TZID=Asia/Hong_Kong:20240304T165000
DTSTAMP:20260513T054326
CREATED:20240222T062850Z
LAST-MODIFIED:20250114T072855Z
UID:17945-1709564400-1709571000@ece.hku.hk
SUMMARY:Running a net-zero grid in 2024: experiences from the Australian "real-world lab"
DESCRIPTION:With deeper and deeper penetration of variable renewable energy sources (RES) and distributed energy resources (DER) across the world\, new challenges are emerging in terms of their grid and market integration. In this lecture we will illustrate these challenges from a techno-economic perspective\, with focus on security and reliability requirements when operating power systems and markets with ultra-deep penetration of RES and DER\, and with the support of real experiences from Australia\, and particularly South Australia\, which has already exhibited net-zero grid operation in the past couple of years. We will then discuss several technical\, commercial and regulatory solutions and opportunities that are being deployed or considered\, ranging from widespread adoption of both highly distributed and large-scale batteries to the development of “clean super-power” plans based on green hydrogen investment. \nBiography of the speaker: \n\nPierluigi Mancarella is the Chair Professor of Electrical Power Systems at The University of Melbourne\, Australia\, and Professor of Smart Energy Systems at The University of Manchester\, UK. \nHe received his MSc (2002) and PhD (2006) degrees from the Politecnico di Torino\, Italy\, worked as a post-doc at Imperial College London\, UK\, has held visiting positions in the US (NREL)\, France (Ecole Centrale de Lille)\, Chile (University of Chile)\, and China (Tsinghua University)\, and will be the 2024 Otto Monsted Visiting Professor at the Danish Technical University (DTU)\, Denmark. \nPierluigi’s research interests include techno-economic modelling of low-carbon grids\, multi-energy systems\, energy system planning under uncertainty\, and reliability and resilience of future networks. He has been involved in/led more than 100 research projects worldwide\, has been actively engaged with energy policy in the UK\, Europe and Australia\, and is author of several books and of over 400 research publications and reports. \nPierluigi is a Fellow of the IEEE; an IEEE Power and Energy Society Distinguished Lecturer; a Senior Editor of the IEEE Transactions on Power Systems; an Editor of the IEEE Transactions on Energy Markets\, Policy and Regulation; the Convenor of the Cigre C6/C2.34 WG on “Flexibility provision from distributed energy resources”; and the inaugural Chair of the WG on Energy of the IEEE European Public Policy Initiative. \nPierluigi was awarded the 2017 veski Innovation Fellowship by the Victorian Government for his “FlexCity” project on multi-energy urban virtual power plants\, and an international Newton Prize 2018 for his UK-Chile Newton-Picarte project on power system resilience. He also led the Melbourne Energy Institute’s work “Power system security assessment of the future National Electricity Market” for the Australian Chief Scientist’s “Finkel Review”. He has recently been working closely with the Australian Energy Market Operator (AEMO)\, the Australian Energy Market Commission (AEMC)\, National Grid ESO (UK)\, and a number of other industry stakeholders in the development of distributed energy marketplaces\, new power system security\, reliability and resilience services and markets\, and new methodologies and tools for energy system planning under uncertainty. \nPierluigi is the Australian Director of the recently announced USA-UK-Australia Global Centre in Climate Change and Clean Energy “Electric Power Innovation for a Carbon-Free Society (EPICS)”\, co-led with Johns Hopkins University (USA) and Imperial College London (UK). \n\n\nAll are welcome.
URL:https://ece.hku.hk/events/running-a-net-zero-grid-in-2024-experiences-from-the-australian-real-world-lab/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240304T160000
DTEND;TZID=Asia/Hong_Kong:20240304T170000
DTSTAMP:20260513T054326
CREATED:20240228T081116Z
LAST-MODIFIED:20250114T072753Z
UID:17953-1709568000-1709571600@ece.hku.hk
SUMMARY:Towards Generalizable and Robust Multimodal AI for Healthcare
DESCRIPTION:Artificial Intelligence (AI) is catalyzing a paradigm shift in healthcare\, promising to reshape the landscape of patient care. At the heart of this transformation is medical imaging\, where AI-enabled technologies hold substantial promise for precise and personalized image-based diagnosis and treatment. Despite these advances\, these models often underperform at real-world deployment\, particularly due to the heterogeneous data distributions and varying modalities in healthcare applications. In this talk\, I will introduce our work dedicated to tackling these real-world challenges to advance model generalizability and multimodal robustness. First\, I will show how we can leverage generative networks and model adaptation to generalize models under data distribution shifts. Next\, I will describe how to achieve robust multimodal learning with missing modalities and with imaging and non-imaging clinical information. Finally\, I will present our work that extends to large-scale datasets and more diverse modalities based on foundation model for generalizable multimodal representation learning. \nBiography of the speaker: \nDr. Cheng CHEN is a postdoc research fellow at the Center for Advanced Medical Computing and Analysis\, Harvard Medical School. She obtained her Ph.D. degree in Computer Science and Engineering at The Chinese University of Hong Kong in 2021. She received her M.S. and B.S. degrees from Johns Hopkins University and Zhejiang University\, respectively. Her research interests lie in the interdisciplinary area of AI and healthcare\, with a focus on generalizable\, robust\, and multimodal medical image analysis. She has over 25 papers published at top AI and medical imaging venues\, reaching over 2300 Google Scholar citations with an h-index of 16. Her first-authored papers have been recognized as an ESI “Highly cited paper”\, selected as oral presentations\, and received travel awards from AAAI and MICCAI. In addition\, she has been named one of the Global Top 80 Chinese Young Female Scholars in AI and won the MICCAI Federated Brain Tumor Segmentation Challenge. \nAll are welcome.
URL:https://ece.hku.hk/events/20240304-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
END:VCALENDAR