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:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241128T090000
DTEND;TZID=Asia/Hong_Kong:20241128T100000
DTSTAMP:20260512T104509
CREATED:20241125T073223Z
LAST-MODIFIED:20250114T032042Z
UID:19483-1732784400-1732788000@ece.hku.hk
SUMMARY:RPG Seminar – Design of High-Performance Microwave Active Circuits Using Synthesis Techniques
DESCRIPTION:Abstract\nMicrowave active circuits\, such as low-noise amplifiers\, power amplifiers\, and oscillators\, are essential components of the transceivers in the front-end of RF communication systems. As modern communication systems evolve\, the demand for higher performance increases. This necessitates compact circuit designs for integration applications\, along with reduced jitter and bit error rates for enhanced communication accuracy. Additionally\, multi-functionality\, such as multi-band operation\, is currently the research hotspot. However\, achieving these high-performance goals with existing circuit design methods\, which are generally based on experience and trial-and-error\, is often time-consuming and lacks a systematic design approach. \nIn this seminar\, we will introduce a series synthesis techniques for microwave active circuits. Using these techniques\, we have developed oscillators with ultra-low phase noise\, an ultra-wideband voltage-controlled oscillator (VCO)\, and dual-band power amplifier circuits. Simulation and measurement results demonstrate that these novel circuits achieve state-of-the-art performance compared to existing designs. \nSpeaker\nMiss Sun Menghan\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the speaker\nMenghan Sun received the B.S. degree from the University of Electronic Science and Technology of China\, Chengdu\, China\, in 2020. She is pursuing the Ph.D. degree with the Department of Electrical and Electronic Engineering at the University of Hong Kong\, Hong Kong. Her current research interests include RF/mm-wave circuit designs. \nOrganizer\nProf. Lawrence Yeung \nAll are welcome.
URL:https://ece.hku.hk/events/20241128-6/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241128T093000
DTEND;TZID=Asia/Hong_Kong:20241128T103000
DTSTAMP:20260512T104509
CREATED:20241108T035312Z
LAST-MODIFIED:20250114T032000Z
UID:19429-1732786200-1732789800@ece.hku.hk
SUMMARY:RPG Seminar – Decision-Oriented Modeling in Building Energy Systems
DESCRIPTION:Abstract\nBuilding energy systems (BESs) serve as crucial flexible resources within power systems. Among various building load types\, thermostatically controlled loads (TCLs) for indoor temperature regulation are the primary contributors to flexible grid services. To harness this flexibility\, it is essential to acquire a thermal dynamics model that represents temperature variations influenced by TCLs. Data-driven methods are commonly employed to capture thermal dynamics accurately\, and model performance is assessed using statistical metrics\, such as mean square error. However\, this approach may lead to biases in model applications because of the unaligned modeling errors and application objectives. In other words\, maximal model accuracy does not necessarily translate to maximal application objectives in terms of actual thermal dynamics within buildings. \nTo tackle this problem\, our research focuses on a new perspective of decision-oriented modeling of thermal dynamics\, ensuring that the modeling objectives are closely aligned with application purposes. We demonstrate the potential of the perspective through two topics: individual building modeling for energy-efficient temperature control\, and multiple building modeling for flexibility aggregation. \nSpeaker\nMr. Cui Xueyuan\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the speaker\nXueyuan Cui received the B.E. degree and the M.S. degree from Zhejiang University\, Hangzhou\, China\, in 2019 and 2022. He is currently a Ph.D. Candidate at the Department of Electrical and Electronic Engineering\, The University of Hong Kong\, Hong Kong\, China. His research interests include grid-interactive buildings\, virtual power plants\, and learning to optimize. \nOrganizer\nProf. Yi Wang \nAll are welcome.
URL:https://ece.hku.hk/events/20241128-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241128T103000
DTEND;TZID=Asia/Hong_Kong:20241128T113000
DTSTAMP:20260512T104509
CREATED:20241108T035452Z
LAST-MODIFIED:20250114T031919Z
UID:19430-1732789800-1732793400@ece.hku.hk
SUMMARY:RPG Seminar – Learning-Assisted Optimal Power Flow for Power Systems: Addressing Feasibility\, Adaptability\, and Scalability Issues
DESCRIPTION:Abstract\nOptimal Power Flow (OPF) problem has been studied for many years. Traditionally\, this problem is solved using an iterative algorithm like the Interior Point Method (IPM). However\, due to the non-convex and nonlinearity of the OPF problem\, it is challenging for iterative algorithm to meet the real-time requirement of power system operation and security analysis. Thanks to the powerful fitting capabilities of the machine learning models and the fact that they can provide a solution in real time\, leveraging such models to solve the OPF problems has become a hot topic. Even though a large number of papers are published to expedite the solving process\, three primary issues are hindering their application. In this seminar\, we would like to address feasibility\, adaptability\, and scalability issues of the existing data-driven OPF methods by employing learning and optimization. Additionally\, we will also discuss open issues in machine learning for solving OPF problem. \nSpeaker\nMr. Jia Yixiong\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the speaker\nYixiong Jia received the B.S. degree in science from Northwest Agriculture and Forestry University and the M.S. degree in electronic science and technology from ShanghaiTech University\, Shanghai\, China\, in 2019 and 2022\, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Electronic Engineering\, The University of Hong Kong. His research interests include data-driven optimal power flow and power flow linearization in power systems. \nOrganizer\nProf. Yi Wang \nAll are welcome!
URL:https://ece.hku.hk/events/20241128-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241128T113000
DTEND;TZID=Asia/Hong_Kong:20241128T123000
DTSTAMP:20260512T104509
CREATED:20241108T035057Z
LAST-MODIFIED:20250114T031829Z
UID:19428-1732793400-1732797000@ece.hku.hk
SUMMARY:RPG Seminar – Multi-time-scale management of virtual power plant for frequency regulation service provisio
DESCRIPTION:Abstract\nRenewable integration in power systems causes a surge of frequency fluctuations\, primarily due to the intermittent nature of renewable energy. To address this challenge\, distributed energy resources (DERs) pave one promising way for frequency regulation by their aggregation as a virtual power plant (VPP). However\, the technical heterogeneity of DERs results in varying frequency regulation performance across different DER portfolios. To promote the performance-based profit for frequency regulation\, we propose a data-driven approach to model the frequency regulation performance with the DER portfolio\, which is integrated into a VPP’s operation schemes. On this basis\, the optimal operations of the VPP in different time scales are explored for frequency regulation service provision\, including both hour-ahead frequency reserve bidding and real-time reserve activation. A comprehensive technical and economic analysis is conducted to validate the effectiveness of the proposed approach in enhancing VPP’s profit for frequency regulation service provision. \nSpeaker\nMiss Huang Mingyu\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the speaker\nMingyu Huang received the B.S. degree in automation and the M.S. degree in control science and engineering from Wuhan University\, Wuhan\, China\, in 2019 and 2022\, respectively. She is currently pursuing the Ph.D. degree with the Department of Electrical and Electronic Engineering\, The University of Hong Kong. Her research interests include dynamic virtual power plants and ancillary services. \nOrganizer\nProf. Yi Wang \nAll are welcome.
URL:https://ece.hku.hk/events/20241128-1/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241128T140000
DTEND;TZID=Asia/Hong_Kong:20241128T150000
DTSTAMP:20260512T104509
CREATED:20241120T015524Z
LAST-MODIFIED:20250114T031758Z
UID:19459-1732802400-1732806000@ece.hku.hk
SUMMARY:The Future of AI in Vision and Healthcare: Multimodal Large Language Models for Image Perception\, Restoration\, and Medical Applications
DESCRIPTION:Abstract\nThe rapid advancement of artificial intelligence\, driven by the emergence of multimodal large language models (MLLMs)\, is transforming the fields of computer vision and healthcare. By integrating diverse modalities\, these models enable groundbreaking progress in image perception\, restoration\, and medical applications. This talk explores how MLLMs leverage foundational model paradigms—incorporating billions of parameters and vast\, heterogeneous datasets—to unify vision-centric tasks within a natural language framework. Key innovations include open-world image understanding\, unified vision-language models\, MLLM-augmented image restoration\, and generalized medical diagnosis. By aligning vision tasks with language instructions\, these models overcome traditional constraints\, enabling user-defined operations\, advanced visual reasoning\, and complex diagnostic capabilities. This talk also explores how MLLMs are transforming the landscape of vision and healthcare\, establishing a robust foundation for the next generation of AI systems. \nSpeaker\nDr. Xiaowei Hu\nResearch Scientist\,\nShanghai Artificial Intelligence Laboratory \nBiography of the Speaker\nDr. Xiaowei Hu is a Research Scientist at the Shanghai Artificial Intelligence Laboratory\, with expertise spanning computer vision\, low-level vision\, vision perception\, medical AI\, and deep learning. He earned his Ph.D. in Computer Science and Engineering from the Chinese University of Hong Kong and has authored over 50 academic papers in top journals and conferences in computer vision\, including IEEE TPAMI\, CVPR\, and ICCV. Dr. Hu has earned recognition as one of the World’s Top 2% Scientists by Stanford University for 2022-2024 and is also a recipient of China’s Outstanding Young Talents Program (Overseas). \nOrganiser\nProf. Cheng Chen\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20241128-5/
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/2024/11/1280-4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241128T153000
DTEND;TZID=Asia/Hong_Kong:20241128T170000
DTSTAMP:20260512T104509
CREATED:20241112T041820Z
LAST-MODIFIED:20250220T080029Z
UID:19431-1732807800-1732813200@ece.hku.hk
SUMMARY:Navigating Your Dream Career in Finance and Technology
DESCRIPTION:The Department has extended an invitation to an entrepreneur and researcher\, Dr. David Ng\, together with three experienced professionals\, Mr. David Sun Tak-kei\, Ms. Yan Yu\, and Mr. Terry Hao to share their valuable experience with you. By attending\, you will have the chance to broaden your perspective on career options. \n \nDate: 28 November\, 2024\nTime: 15:30 – 17:00\nVenue: Room 603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong\nSpeakers: Dr. David Ng\, Mr. David Sun Tak-kei\, and Ms. Yan Yu \nBiography of the speakers: \n\nDr. David Ng\nPhD\, EMBA\, MSc\, BEng\, MHKIE\, MIEEE\nAdjunct Assistant Professor\, HKU-EEE \nCEO & CTO\, High Tech Technology (https://www.hightt.com/)\nCEO & CTO\, FinSiliconX (https://www.fsx100.com/) \nDr. Ng received his PhD degree in Electrical Engineering from HKU\, where his engineering talents were duly honed. Dr. Ng is a current member of HKIE and IEEE with more than 20 patents to his name from US and China over the years. Dr. Ng graduated with an electronic engineering degree from the HKUST. He subsequently completed an MSc degree in Electronic & Information Engineering\, and Executive MBA (EMBA) degree from the CityU\, and had worked in Motorola Semiconductor\, Arizona\, USA. \nAs an entrepreneur and architectural IC design engineer with over 20 years’ substantial work experiences in high-tech industry\, Dr. Ng has founded several local technology companies focused on IC design\, loT-smart home\, Al algorithm for big data mining\, and digital control under funding by multinational companies and venture capitals after his respective service with ASTRI (Hong Kong Government Agency)\, ON Semiconductor (a NASDAQ-Iisted semiconductors company) and Motorola (an NYSE-listed Telecom Company). Dr. Ng possesses a track record of raising funds amounting to millions of US dollars from the HKSAR Government and industries to sponsor next-generation IC design technologies. \nDuring his years in ASTRI\, Dr. Ng successfully helped a corporate client in getting listed in the GEM Board of the HKEX by licensing the IP of Dr. Ng’s team for production. \nWith special interests in both fields of green power management and sensors\, Dr. Ng’s research areas range from efficient & safe LED driver ICs\, digital-protocol fast-battery-charging ICs\, energy-harvesting enabling circuits\, to low- impedance bandgap reference.\nAs far as sensors are concerned\, Dr. Ng specializes in low-noise amplifiers\, analog-to-digital\, digital-to-analog data converters\, µV (10 -6 V) bio-signal detection of brain or heart signals (EEG/ECG) and digital signal processing (DSP) like Fast Fourier Transform (FFT). \nOver the years\, Dr. Ng has gained solid experiences in building from scratch R&D teams of 10 to 50 engineers with fast revenue returns while commercializing product ICs for mass production (over 16 so far\, with some attaining Automotive Grade). \nDr. Ng has also completed CityU’s EMBA degree\, with special focuses on VC\, PE and merger & acquisitions (M&A) in tech companies. Being listed in “Beta Gamma Sigma”\, he keeps on sharpening his professional business development skills. \nDr. Ng frequently speaks in seminars on IC designs\, brain sensors\, power electronics\, fast battery-charging and LED driver ICs. He has published over ten academic papers. An adjunct assistant professor and honorary lecturer in HKU and other tertiary institutions\, Dr Ng has taught a variety of engineering courses including master-level ones and supervised postgraduate students for their dissertations for 16 years. \n\nMr. David Sun GBS JP \nDavid Sun Tak-kei\, GBS\, JP was the Director of Audit of Hong Kong\, a “principal official” position\, between 2012 and 2018\, and was the President of the Hong Kong Institute of Certified Public Accountants between 2003 and 2007 (Hong Kong Society of Accountants before 8 September 2004). \nSun began his career at Ernst & Young in 1977 and was the Far East Co-Area Managing Partner\, until his retirement in 2010. He was the partner in charge of the Akai Holdings account from 1991 to 1999. \nSun was a member of Securities and Futures Commission between 2001 and 2007. In 2003\, he became the president of the Hong Kong Institute of Certified Public Accountants (HKICPA) and served until 2007.Sun was later appointed as Director of Audit of Hong Kong in July 2012. He retired in December 2018. \n\nMiss Yan Yu \nYan Yu was born in China and moved to the UK in her teens. After obtaining an MSc from Warwick University (with Distinction) she joined Morgan Stanley as an analyst and spent 14 years on Wall Street as a derivatives trader\, working for banks like Goldmans Sachs and Merrill Lynch in London\, New York and Moscow before relocating to Hong Kong in 2010. \nIn 2018 Yan left her career on Wall Street to pursue seminary training at the Lutheran Theological Seminary\, obtaining an MA (in Theology) and an MTh (in Old Testament) by 2020\, before being invited to teach Biblical Hebrew and Old Testament as a visiting lecturer there. Yan is currently serving as a Church Minister. \nYan is also a serial entrepreneur and co-founder of a Medical AI company based in Cyberport. Yan recently started her PhD studies with HKU Med\, her research topic is Christian cancer care.
URL:https://ece.hku.hk/events/20241128-4/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Career Talks,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/12802.jpg
END:VEVENT
END:VCALENDAR