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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.16.0//NONSGML v1.0//EN
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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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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240110T110000
DTEND;TZID=Asia/Hong_Kong:20240110T120000
DTSTAMP:20260513T055357
CREATED:20240102T063048Z
LAST-MODIFIED:20250114T074608Z
UID:17912-1704884400-1704888000@ece.hku.hk
SUMMARY:Machine Learning for Real-Time Constrained Optimization: The Case of Optimal Power Flows
DESCRIPTION:Optimization problems subject to hard constraints are common in time-critical applications such as autonomous driving and wireless communication. However\, existing iterative solvers often face difficulties in solving these problems in real-time. In this talk\, we focus on one such problem – the critical optimal power flow (OPF) problem in power system operation. We develop DeepOPF as a neural network (NN) approach to solve OPF problems directly\, orders of magnitude faster than state-of-the-art iterative solvers. The idea is to employ NN’s approximation capability to learn the input-solution mapping of the OPF problem (or any constrained problem). Thus\, one can pass the input to the NN and receive a quality solution instantly. A fundamental issue\, however\, is to ensure NN solution feasibility with respect to the hard constraints\, which is non-trivial due to inherent NN prediction errors. To this end\, we present two approaches\, predict-and-reconstruct and homeomorphic projection\, to ensure NN solution strictly satisfies the equality and inequality constraints. In particular\, homeomorphic projection is a low-complexity scheme to guarantee NN solution feasibility for optimization over a general set homeomorphic to a unit ball\, covering all compact convex sets and certain classes of nonconvex sets. The idea is to (i) learn a minimum distortion homeomorphic mapping between the constraint set and a unit ball using an invertible NN (INN)\, and then (ii) perform a simple bisection operation concerning the unit ball so that the INN-mapped final solution is feasible with respect to the constraint set with minor distortion-induced optimality loss. We prove the feasibility guarantee and bound the optimality loss under mild conditions. Simulation results\, including those for non-convex AC-OPF problems in power grid operation\, show that homeomorphic projection outperforms existing methods in solution feasibility and run-time complexity\, while achieving similar optimality loss. We will also discuss open issues in machine learning for solving constrained puzzles. \nBiography of the speaker: \nMinghua received his B.Eng. and M.S. degrees from the Department of Electronic Engineering at Tsinghua University. He received his Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California Berkeley. He is a Professor of School of Data Science\, City University of Hong Kong. He received the Eli Jury award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the area of Systems\, Communications\, Control\, or Signal Processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards\, including IEEE ICME Best Paper Award in 2009\, IEEE Transactions on Multimedia Prize Paper Award in 2009\, ACM Multimedia Best Paper Award in 2012\, IEEE INFOCOM Best Poster Award in 2021\, and ACM e-Energy Best Paper Award in 2023. Storage codes co-invented by Minghua have been incorporated into Microsoft Windows and Azure Cloud Storage\, serving hundreds of millions of users. His recent research interests include online optimization and algorithms\, machine learning in power system operation\, intelligent transportation\, distributed optimization\, delay-critical networking\, and capitalizing the benefit of data-driven prediction in algorithm/system design. He is an ACM Distinguished Scientist and an IEEE Fellow.
URL:https://ece.hku.hk/events/machine-learning-for-real-time-constrained-optimization-the-case-of-optimal-power-flows/
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:20240116T163000
DTEND;TZID=Asia/Hong_Kong:20240116T173000
DTSTAMP:20260513T055357
CREATED:20240110T060851Z
LAST-MODIFIED:20250114T074547Z
UID:17923-1705422600-1705426200@ece.hku.hk
SUMMARY:Modelling and Design of Smart Radio Environments
DESCRIPTION:Since 2019\, reconfigurable intelligent surface (RIS) has attracted a lot of interests from both academia and industry. In this talk\, Professor Jie Zhang will first introduce their pioneering work on Smart Radio Environments back to 2012 in a 2.2 million Euros research project titled “Wireless Friendly Energy Efficient Buildings (WiFEEB)” in which frequency selective surfaces\, intelligent walls and reconfigurable intelligent structures were studied. Then\, he will give an introduction of their ground-breaking work on the establishment of a theoretical building wireless performance (BWP) evaluation framework that can be used to quantify the wireless performance of a building layout (i.e.\, given a building design/floorplan\, tells how “wireless friendly” it is). Next\, he will briefly introduce the progress on RIS simulation that they have made in a South Korea – UK joint R&D project titled “AI-powered Reconfigurable Intelligent Surface (AIRIS)”.  Finally\, he will discuss how to use the BWP evaluation framework to analyse the impact of smart radio environments on the indoor wireless network performance such as the deployment of RIS. \nBiography of the speaker: \nProfessor Jie Zhang has held the Chair in Wireless Systems at the Department of Electronic and Electrical Engineering\, University of Sheffield\, Sheffield\, U.K.\, on a part-time basis\, since January 2011. He is also the Founder\, Board Director and  Chief Scientific Officer of Ranplan Wireless\, Cambridge\, U.K.\, a public company listed on Nasdaq First North and a professor at HIT Shenzhen since 2023. Ranplan Wireless produces a suite of world leading indoor and the first joint indoor-outdoor radio access network planning tool — Ranplan Professional\, which is being used over 300 industrial and academic customers including all the top 5 telecom equipment vendors\, the world’s largest mobile operators\, and leading research organisations. Along with his students and colleagues\, he has pioneered research in small cell and heterogeneous network and published some of the landmark papers and book on these topics\, widely used by both academia and industry. Since 2010\, he and his team have also developed ground-breaking work in smart radio environment and building wireless performance modelling\, evaluation and optimisation\, the key concepts of which were introduced in a paper titled “Fundamental Wireless Performance of a Building”\, IEEE Wireless Communications\, 29(1)\, 2022. His Google scholar citations are in excess of 9000 with an H-index of 41. He received a PhD in Industrial Automation from East China University of Science and Technology\, Shanghai\, China\, in 1995. Prior to joining the University of Sheffield\, he had studied/worked with Imperial College London\, Oxford University\, and University of Bedfordshire\, reaching a status of Senior Lecturer\, Reader and Professor in 2002\, 2005 and 2006\, respectively.\n\nAll are welcome.
URL:https://ece.hku.hk/events/modelling-and-design-of-smart-radio-environments/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240123T163000
DTEND;TZID=Asia/Hong_Kong:20240123T180000
DTSTAMP:20260513T055357
CREATED:20240112T064937Z
LAST-MODIFIED:20250114T074441Z
UID:17931-1706027400-1706032800@ece.hku.hk
SUMMARY:New prospects for group IV and III-V Materials for optoelectronic Applications
DESCRIPTION:Nowadays\, there is a large effort to find a monolithic solution for photonics and electronics. The main purpose is to integrate materials which have high carrier mobility and high photonic performance for optoelectronic components. In many cases\, a 3D integration is required where electrons are processing the data and photons are communicating the data in a chip. In this field of research\, materials such as Ge\, GeSi or GeSn have attracted attention due to their excellent electronic and photonic properties. These materials have been applied in the channel of transistors as well in active regions for detection and lasing of Infrared light. Ge\, GeSi and GeSn have demonstrated excellent performance in near and short wavelength infrared (SWIR) regions. Although\, a large effort has been spent on group IV materials for laser application but so far there is no operating laser at room temperature. There are also some interests for III-V growth on Si for photonic application. The control of defect density is a vital issue for good performance. This invited talk will present the challenges for the integration of group IV materials as well as III-V materials on Si for optoelectronics devices. Issues such as epitaxy\, material quality\, strain engineering\, structure designs for SWIR detectors and lasers are discussed in detail. \nBiography of the speaker: \nProfessor Henry Homayoun Radamson is from Sweden\, he got bachelor from Stockholm University\, later got Master and PhD from Linkoping University in 1996\, Institute of Physics and Measurement Techniques. Between 1997-2016\, he worked for Royal Institute of Technology in Sweden\, Department of Electrical components and circuits as a Senior Researcher. Henry got invited to China through 1000-talent project since 2016 and worked in Institute of Microelectronics of the Chinese Academy of Sciences (IMECAS). In 2019\, Prof. Radamson was invited as chief Scientist in Guangdong Greater Bay Area Institute of Integrated Circuit and System (GIICS) and he became Fellow of European Academy of Sciences same year. So far\, he has almost 300 publications in Journals like ASC Nano\, Nano Letters\, Physical Review B\, Applied Physics Letter\, IEEE Electron Device Letters\, IEEE Transactions on Electron Devices\, etc. He has also written 4 books like CMOS past present and future.He has got many awards like Swedish quality innovation\, First award in 2019; Swedish venture Cup award\, Innovation contest\, 10 Best awards in 2011; Talent Award Guangzhou\, March 2023; Friendship Award in China\, March 12\, 2023; Best Tutor Award\, University of Chinese Academy of Sciences 2021; ZhuliYuehua Teacher Award\, University of Chinese Academy of Sciences 2020; Best Course Award\, University of Chinese Academy of Sciences 2020; Best Teacher Award\, University of Chinese Academy of Sciences\, 2019; Foreign Talent Award\, China\, 2018; Best Teacher Award\, Reykjavik University\, Iceland\, 2008. So Far\, His research field focuses on semiconductor materials and process. Until 2022\, he has successfully made Germanium-based short wave infrared chips with commercial quality and significant price advantage compared with InGaAs material chip. He is also working with Terahertz chips and laser materials which have wide application in the market.\n\nAll are welcome.
URL:https://ece.hku.hk/events/new-prospects-for-group-iv-and-iii-v-materials-for-optoelectronic-applications/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240124T110000
DTEND;TZID=Asia/Hong_Kong:20240124T123000
DTSTAMP:20260513T055357
CREATED:20240111T025050Z
LAST-MODIFIED:20250114T074434Z
UID:17930-1706094000-1706099400@ece.hku.hk
SUMMARY:Critical Issues in the Electrohydrodynamic Inject Printing – Examples of printing fluorescent quantum dots
DESCRIPTION:Micro-printing is a good way to manufacture patterning structures in modern manufacture\, which has been widely used in fields\, e.g. micro-LED display\, benefiting from the high material utilization. The electrohydrodynamic inject printing (EHD-IP) is proven to be with the highest spatial resolution among various micro-printing techniques. Still\, the ink control and homogeneity are two main obstacles EHD-IP are facing before its possible fully commercialization. In this talk\, by taking the example of printing color conversion layer for micro-LED displays\, I will introduce new designs of EHD specialized inks that have been developed in our research group recently. (a) The dual non-polar solvent perovskite QD colloidal ink for EHD-IP; (b) Three dimensional micro-pillars arrays manufactured by EHD-IP; (c) Dual ligands passivated red perovskite QDs inks. During the introduction of these work\, I would like to discuss some fundamental principles\, such as the differences in dynamics between inks employing polar and non-polar solvents\, interaction between ligands and solvent and its effect on colloidal stability\, how to decoupling designs of functional QDs and E-field driven-able ink\, etc. These issues are universally applied to various kinds of EHD specialized inks and determine the final quality of EHD-IP. \nBiography of the speaker: \nYue received his B.Sc. in the Department of Physics at Southeast University. He received his Ph.D. degree from the Department of Electronic Science at Xiamen University. He is currently an associate professor in the Department of Electronic Science\, Xiamen University. His research scope includes a) Micro-LED display technology; b) Electrohydrodynamic inkjet printing for quantum dot color conversion layers; c) GaN and AlGaN based semiconductor material and devices and the optoelectronic properties; d) All-inorganic and hybrid perovskite quantum dots and the optoelectronic properties. As first and/or corresponding author\, he published more than 20 papers on journals such as Adv. Mat.\, Adv. Opt. Mat.\, Small\, Appl. Phys. Lett.\, Chinese Chemical Letters\, etc. He hosted fundings like NSF of China\, NSF and cooperation funding of Fujian Province\, etc.\n\nAll are welcome.
URL:https://ece.hku.hk/events/critical-issues-in-the-electrohydrodynamic-inject-printing-examples-of-printing-fluorescent-quantum-dots/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240125T100000
DTEND;TZID=Asia/Hong_Kong:20240125T110000
DTSTAMP:20260513T055357
CREATED:20240117T065641Z
LAST-MODIFIED:20250114T074426Z
UID:17934-1706176800-1706180400@ece.hku.hk
SUMMARY:High-power GHz femtosecond fiber laser technologies and frontier applications
DESCRIPTION:Fiber lasers have been known as compact and robust laser sources. When operating in the femtosecond-pulse regime with high repetition rates (HRRs)\, particularly at a level of GHz\, they open new opportunities for industrial and scientific applications\, such as high-speed ablation-cooled material removal\, ultrafast measurement\, low-photodamage biophotonics\, etc. Among various schemes of generating HRR fs fiber laser\, fundamentally mode-locking in ultrashort Fabry-Pérot (FP) fiber cavities is a promising method for generating fs pulses at repetition rates of several-to-tens GHz. Despite these exciting opportunities\, further efforts are still required for improving the repetition rate\, average power\, pulse width\, wavelength range\, as well as the noise performance and long-term stability. In this talk\, I will present the latest progress on the high-power GHz femtosecond fiber lasers. In the meanwhile\, the application exploration in the fields of ultrafast measurement\, micro-machining and biological imaging will also be briefly discussed. \nBiography of the speaker: \nDr. Xiaoming Wei received his B.S. and M.S. degrees from South China University of Technology\, China\, in 2009 and 2012\, respectively\, and PhD degree from the University of Hong Kong in 2015. He received the postdoctoral training from both the University of Hong Kong (OCT\, 2015 – April\, 2017) and Caltech (May\, 2017 – Aug.\, 2019)\, then he joined the Department of Physics and Optoelectronics\, South China University of Technology. So far\, he has published more than 100 papers in peer-reviewed journals\, including Nature Communications\, Science Advances\, Light: Science & Applications\, Optics Letters\, etc\, and filed more than 50 patents in the field of ultrafast optics. His research interests include high-power femtosecond fiber lasers and their applications in the fields of ultrafast measurement\, micromachining and biophotonics.\n\nAll are welcome.
URL:https://ece.hku.hk/events/high-power-ghz-femtosecond-fiber-laser-technologies-and-frontier-applications/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
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