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X-WR-CALNAME: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
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240702T143000
DTEND;TZID=Asia/Hong_Kong:20240702T163000
DTSTAMP:20260512T230546
CREATED:20240619T020036Z
LAST-MODIFIED:20250114T043200Z
UID:18842-1719930600-1719937800@ece.hku.hk
SUMMARY:Magnetism-coupled Flexible and Wearable Devices
DESCRIPTION:Abstract\nThe emergence of flexible and wearable electronics is now leading a revolutionary era for real-time healthcare monitoring and human-machine interaction (HMI) in a more convenient and authentic manner. Sensors\, as the bridge between human beings and electrical terminals\, are playing an important role in facilitating interaction with the complex environment and promoting the healthy development of our society. It is thus crucial to develop high-performance flexible sensors for precise and effective conversion of multiple physiological signals from human beings. In this presentation\, we will introduce our recent studies of magnetism-coupled flexible sensors that aim to improve the sensing performance of flexible devices from linearity\, sensitivity\, to potential working range. Furthermore\, taking advantage of the intrinsic “divergence” and “curl” property of magnetic vector\, we will present that the coupling of magnetized component to flexible sensors can possibly enrich the function for future HMI and healthcare sensing. The design principle and optimization mechanism will be discussed in details. \nSpeaker\nProf. Bingpu ZHOU\nAssociate Professor\,\nInstitute of Applied Physics and Materials Engineering\,\nUniversity of Macau \nBiography of the Speaker\nProf. Bingpu ZHOU obtained his PhD degree from HKUST in 2015. He is currently an Associate Professor of Institute of Applied Physics and Materials Engineering in the University of Macau. He also serves as the Associate Department Head of Department of Physics and Chemistry in Faculty of Science and Technology\, and the Joint Associate Professor in Function Hub at HKUST (GZ). He is recipient of grants including FDCT (Macau SAR)\, GDST (Guangdong\, China) and FDCT-GDST joint projects. His group is mainly focusing on the optimization of flexible sensors with magnetism-mechanics-coupled effect\, and functional surface/interface analysis. He has authored/co-authored ~100 SCI papers. Some of the works have been published in Advanced Materials\, Advanced Functional Materials\, and ACS Nano\, etc. as first/corresponding author. \nOrganizer\nProf. Zhiqin CHU \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240702-1/
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/2024/06/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240716T140000
DTEND;TZID=Asia/Hong_Kong:20240716T160000
DTSTAMP:20260512T230546
CREATED:20240702T075019Z
LAST-MODIFIED:20250114T043117Z
UID:18848-1721138400-1721145600@ece.hku.hk
SUMMARY:Introduction to Reinforcement Learning
DESCRIPTION:Abstract\nThis seminar aims to introduce reinforcement learning (RL) and its application to communication systems to graduate students\, although everyone is welcome to attend. RL has successfully been applied to many application domains ranging from control of communication and computer systems\, navigation of driverless vehicles\, robots and flying drones\, to guiding medical imaging and surgery\, to name a few. The speaker will first present the Markov Decision Process (MDP) – the mathematical foundation of RL. To solve the MDP\, the goal is to derive the optimal (action) policy that decides the optimal action for every given state of the system to maximize the long-term reward. As the underlying models for many application settings are unknown\, various model-free RL techniques have been developed\, including temporal difference learning\, SARSA\, Q-learning and policy gradient methods. The speaker will briefly describe these techniques. Furthermore\, as the system complexity increases\, neural networks are used to approximate the Q-values (rewards) and/or action policies as functions of system states and actions. This has led to deep RL where the neural-network parameters are “trained” or “learned” from processing the observed data from practical systems. For illustration purposes\, deep RL is used to manage communication infrastructures. New techniques will be highlighted to overcome issues of model complexity and long training time.  Open research issues on RL will also be briefly discussed. \nSpeaker\nProf. Kin K. LEUNG\nTanaka Chair Professor\,\nElectrical and Electronic Engineering\, and Computing Departments\,\nImperial College\, London \nBiography of the Speaker\nProf. Kin K. LEUNG received his B.S. degree from the Chinese University of Hong Kong\, and his M.S. and Ph.D. degrees from University of California\, Los Angeles. He worked at AT&T Bell Labs and its successor companies in New Jersey from 1986 to 2004. Since then\, he has been the Tanaka Chair Professor in the Electrical and Electronic Engineering (EEE)\, and Computing Departments at Imperial College in London. He also served as the Head of Communications and Signal Processing Group in the EEE Department at Imperial from 2009 to 2024. His current research focuses on optimization and machine learning for system design and control of large-scale communications\, computer and quantum networks. He also works on multi-antenna and cross-layer designs for wireless networks. \nHe is a Fellow of the Royal Academy of Engineering\, IEEE Fellow\, IET Fellow\, and member of Academia Europaea. He received the Distinguished Member of Technical Staff Award from AT&T Bell Labs and the Royal Society Wolfson Research Merits Award. Jointly with his collaborators\, he received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize (2021)\, the IEEE ComSoc Best Survey Paper Award (2022)\, the U.S.–UK Science and Technology Stocktake Award (2021)\, the Lanchester Prize Honorable Mention Award (1997)\, and several best conference paper awards. He was an IEEE ComSoc Distinguished Lecturer. In 2012-15\, he chaired the IEEE Fellow Evaluation Committee for ComSoc. He has served as an editor for 10 IEEE and ACM journals and chaired the Steering Committee for the IEEE Transactions on Mobile Computing. Currently\, he is an editor for the ACM Computing Survey and International Journal of Sensor Networks. \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240716-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240718T150000
DTEND;TZID=Asia/Hong_Kong:20240718T160000
DTSTAMP:20260512T230546
CREATED:20240529T090712Z
LAST-MODIFIED:20250114T043030Z
UID:18688-1721314800-1721318400@ece.hku.hk
SUMMARY:Quantum Dot-based Opto and Nano Electronic Devices
DESCRIPTION:Abstract\nColloidal quantum dots (QDs) have been of great interest owing to the unique optical and electrical properties\, such as size-dependent band gap tunability\, wide absorption and narrow emission spectra\, and controllable surface properties. Recently\, several types of opto- and nano-electronic devices utilizing QDs have been reported for future optoelectronics. The QD-based light-emitting diodes\, QLEDs\, are one of the most promising devices for future full-color displays and new types of light sources. However\, fundamental mechanisms\, such as charge injection into QDs\, exciton recombination\, and operational stability\, should be understood and improved more to commercialize the QLED displays. In this talk\, I will mainly present our recent research progress on QLEDs\, including device design to improve device performance and to understand operational mechanisms. Also\, I will briefly introduce the QD-based memristors for neuromorphic computing. \nSpeaker\nProf. Jeonghun KWAK\nAssociate Professor\,\nDepartment of Electrical and Computer Engineering\,\nSeoul National University \nBiography of the Speaker\nProf. Jeonghun KWAK received his B.S. (2005) and Ph.D. (2010) degrees in Electrical Engineering from Seoul National University (SNU)\, Korea. After working as a postdoctoral researcher at SNU for one year\, he worked as an assistant/associate professor at Dong-A University\, Korea (2011–2015) and at the University of Seoul\, Korea (2015–2019). Since March 2019\, he has been an associate professor at the Department of Electrical and Computer Engineering\, SNU. His current research interests focus on opto- and nano-electronic devices\, such as QLEDs\, organic thermoelectric devices\, and neuromorphic devices based on organic molecules and low-dimensional materials. \nOrganizer\nProf. Leo Tianshuo ZHAO \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240718-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240802T110000
DTEND;TZID=Asia/Hong_Kong:20240802T120000
DTSTAMP:20260512T230546
CREATED:20240724T043745Z
LAST-MODIFIED:20250114T042912Z
UID:18932-1722596400-1722600000@ece.hku.hk
SUMMARY:High-Frame-Rate Ultrasound Imaging in the Deep Learning Era
DESCRIPTION:Please note the seminar venue is revised to Tam Wing Fan Innovation Wing Two\, The University of Hong Kong. \nAbstract\nUltrasound is undoubtedly a popular medical imaging modality and is becoming known for its high-frame-rate imaging capabilities. However\, high-frame-rate ultrasound has yet to flourish in point-of-care applications due to the lack of suitable portable hardware\, and its ability to offer time-resolved flow visualization is hampered by Doppler aliasing artifacts. Can we take advantage of deep learning to overcome bottlenecks in high-frame-rate system design? Can we design neural networks to resolve Doppler aliasing artifacts in real time? This seminar will introduce our laboratory’s quest to learn deep and learn smart about ultrasound imaging systems to make high-frame-rate ultrasound viable for portable use and flow estimation. We will demonstrate how deep learning solutions can be devised to resolve data transfer bottlenecks in ultrasound systems and\, in turn\, enable robust generation of high-frame-rate ultrasound images with data acquired from few array channels. We will also show how deep learning has enabled the design of advanced Doppler flow imaging platforms with lucid flow visualization performance. Related algorithms\, real-time engineering efforts\, and clinical applications will be presented throughout the presentation. \nSpeaker\nProf. Alfred C. H. YU\nAssistant Vice-President (Research and International)\,\nProfessor of Biomedical Engineering\,\nUniversity of Waterloo\, Canada \nBiography of the Speaker\nProf. Alfred C. H. YU is Assistant Vice-President (Research and International) and Professor of Biomedical Engineering at the University of Waterloo\, Canada. He leads the University of Waterloo’s research partnership portfolio and interdisciplinary research files\, and he is the Director of the NSERC Collaborative Research Program on “Next-Generation Innovations in Ultrasonics” in Canada. Alfred has a long-standing research interest in ultrasound imaging and therapeutics. He is a Fellow of IEEE\, American Institute of Ultrasound in Medicine\, Canadian Academy of Engineering\, and Engineering Institute of Canada. His research has been endorsed by many milestone prizes\, including the NSERC Steacie Memorial Fellowship\, the ISTU Frederic Lizzi Award\, the IEEE Ultrasonics Early Career Investigator Award\, the Ontario Early Researcher Award\, and various best paper awards. He is now the Editor-in-Chief of the IEEE Transactions on Ultrasonics\, Ferroelectrics\, and Frequency Control\, the Program Chair of 2023 and 2025 IEEE Ultrasonics Symposium\, and the Vice-Chair of the AIUM Basic Science and Instrumentation Group. \nOrganiser\nProf. W.-N. LEE \nCo-organisers\nIEEE EMB Hong Kong-Macau Joint Chapter\nTam Wing Fan Innovation Wing Two \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240802-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/07/1280-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240808T140000
DTEND;TZID=Asia/Hong_Kong:20240808T170000
DTSTAMP:20260512T230546
CREATED:20240725T085244Z
LAST-MODIFIED:20250114T042822Z
UID:18938-1723125600-1723136400@ece.hku.hk
SUMMARY:MVSG-based Compact Models for GaN Devices
DESCRIPTION:Abstract\nGiven its high mobility\, high breakdown voltage and decent thermal conductivity\, GaN technologies have shown great promise for high-power high-frequency (HP-HF)\, rapidly rising as a front runner for mm-wave to THz analog/RF circuits for IoT and 5G/6G wireless communication. Meanwhile\, it is also heavily explored for power electronic applications for fast charging\, data center\, and electric vehicles. As GaN technology continues to improve\, challenges of high design cost and sub-optimal system performance emerge as bottlenecks preventing the technology from wide scale deployment. Accurate\, scalable and efficient compact model is key to overcome such challenges. \nThis presentation will provide a brief overview of the family of MVSG GaN compact model\, including models for GaN HEMT\, GaN multi-channel diodes and GaN transmission-line resistors.  The model formulation and various features will be introduced. Application examples will also be demonstrated\,  showing the potentials of this group of physics-based compact models. \nSpeaker\nProf. Lan WEI\nAssociate Professor\,\nUniversity of Waterloo\, Canada \nBiography of the Speaker\nProf. Lan WEI received her B.S. in Microelectronics from Peking University\, China (2001)\, M.S and Ph. D. in Electrical Engineering from Stanford University\, USA (2007 and 2010\, respectively). She is currently an Associate Professor at the University of Waterloo\, Canada. She has intensive experience in device physics-based compact modeling including silicon and GaN technologies\, device-circuit interactive design and optimization\, integrated nanoelectronic systems with low-dimensional materials\, cryogenic CMOS device modeling and circuit design for quantum computing.  She has authored/co-authored more than 90 peered reviewed publications and served on the technical program committees including IEDM\, ICCAD\, DATE\, ISQED\, BCICTS\, etc. \nOrganiser\nProf. H. Wang \nCo-organiser\nIEEE ED/SSC Hong Kong Joint Chapter\n\nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240808-1/
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/2024/07/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240813T143000
DTEND;TZID=Asia/Hong_Kong:20240813T153000
DTSTAMP:20260512T230546
CREATED:20240712T030813Z
LAST-MODIFIED:20250114T042722Z
UID:18871-1723559400-1723563000@ece.hku.hk
SUMMARY:Mechano-nanooncology
DESCRIPTION:Abstract\nNanomedicines are an important means of treating solid tumors\, but in clinical applications\, they can only reduce side effects and cannot significantly improve efficacy. The main reason is that the rapid clearance of the reticuloendothelial system (RES) and the abnormal mechanical microenvironment of solid tumors limit the delivery efficiency of nanomedicines.The RES blockade strategy can temporarily and reversibly delay liver clearance\, improve tumor enrichment and antitumor effects of nanomedicines\, and have good biological safety. However\, the large number of nanoparticles in the circulatory system still imposes an additional burden on RES\, making it particularly important to improve the efficiency of the RES blockade strategy. We systematically explored how to use the mechanical properties of nanogel to overcome the clearing effect of RES\, and proposed the treatment strategy of antitumor effect of nanomedicines with mechanical modulation for the first time. Crucially\, RES blockade strategy based on the mechanical properties of nanogel boosts antitumor efficacy of marketed nanomedicines\, such as Doxil® And Abraxane®. Therefore\, mechano-based RES blockade has broad universality and huge clinical application potential. We propose using hyperbaric oxygen and mild photothermal therapy to improve the abnormal mechanical microenvironment of solid tumors and enhance the antitumor effect of nanomedicines. For the first time\, we discovered that hyperbaric oxygen can overcome tumor hypoxia and inhibit tumor associated fibroblasts\, regulate the abnormal mechanical microenvironment of solid tumors\, as well as the structure and function of tumor blood vessels\, thereby selectively enhancing the commercialized nanomedicines\, e.g.\, Doxil® and Abraxane® and nanoscale biological macromolecules\, such as PD-1 antibodies. In addition\, we have confirmed that the mild photothermal effect of nanomedicines efficiently depletes tumor associated fibroblasts and extracellular matrix\, reduces solid stress and stiffness of tumors\, normalizes tumor vascular structure and function\, promotes subsequent nanomedicine and oxygen delivery\, damages the ecological niche of tumor stem cells\, eliminates cancer stem cells\, and augments the antitumor effect of nanomedicines. Our results indicate that mechano-mediated regulation strategies have the potential to enhance the antitumor effect of nanomedicines. Two prospective trials have been performed in bedside. \nSpeaker\nProf. Zifu LI\nFull Professor\,\nHuazhong University of Science and Technology \nBiography of the Speaker\nProf. Zifu LI received the B.S. degree from Huazhong University of Science and Technology in 2008 and the Ph.D. degree from the Chinese University of Hong Kong in 2012. In 2013 and 2015\, he worked as a postdoctoral fellow at the University of Alberta. He then joined Georgia Institute of Technology as a research scientist. Since 2016\, he has been a full professor at Huazhong University of Science and Technology. Professor Zifu Li’s lab is based on the National Engineering Research Center for Nanomedicine at Huazhong University of Science and Technology. His research lies at the interface of biomaterials\, drug delivery\, and cellular and molecular bioengineering to fundamentally understand and therapeutically target biological molecules\, cancer cells\, immune cells\, and cancer stem cells. He applies his research findings and the technologies developed to a range of human health applications\, particularly on cancer diagnosis and treatment. Current research projects include mechano-nanooncology\, smart nanomedicine and hyperbaric oxygen-enabled cancer therapy. \nOrganizer\nProf. Zhiqin CHU \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240813-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240815T143000
DTEND;TZID=Asia/Hong_Kong:20240815T153000
DTSTAMP:20260512T230546
CREATED:20240716T092305Z
LAST-MODIFIED:20250114T042634Z
UID:18875-1723732200-1723735800@ece.hku.hk
SUMMARY:Developing of Stable Multimode Neural Interface for Brain Activity Detection and Modulation
DESCRIPTION:Speaker\nDr. Xiaoling WEI\nShanghai Institute of Microsystem and Information Technology\,\nChinese Academy of Sciences \nAbstract\nImplanted neural electrodes provide one of the most important neuro-techniques that are able to direct detect individual neuron electrical activities in the living brain. However\, there are three factors we need to consider for the further application of the electrodes for the Brain Machine Interface\, namely\, they are high-throughput\, low trauma and longevity. Ultraflexible neural electrodes have shown superior stability compared to rigid electrodes in long-term in vivo recordings\, owing to their low mechanical mismatch with brain tissue. To detect neurotransmitters as well as electrophysiology for months long is desirable in brain science. This talk I will cover our recent work on a novel stable electronic interface that can simultaneously detect neural electrical activity and dopamine concentration in deep brain. Also\, I will talk about some work related to silk fibroin-based bioelectronic devices for recording and modulation of neurons. \nSpeaker\nDr. Xiaoling WEI\nShanghai Institute of Microsystem and Information Technology\,\nChinese Academy of Sciences \nBiography of the Speaker\nDr. WEI received his B.Eng. degree in 2008 from the Department of Polymer Science and Engineering\, the University of Science and Technology of China and PhD degree in 2013 from the Department of Chemistry\, the Chinese University of Hong Kong. After one more year as a postdoctoral associate in the Hong Kong Polytechnic University\, he carried out his postdoctoral research (2014/11 – 2018/08) in Department of Biomedical Engineering\, the University of Texas at Austin (USA). Since September 2018\, he moved to Shanghai Institute of Microsystem and Information Technology\, the Chinese Academy of Sciences. He has authored and co-authored over more than 30 peer reviewed scientific articles\, including Science Advances\, Advanced Science\, Microsystem & Nanoengineering etc. His research interests are implantable devices\, neural interface and BioMEMS. \nOrganizer\nProf. Zhiqin CHU \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240815-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240819T163000
DTEND;TZID=Asia/Hong_Kong:20240819T173000
DTSTAMP:20260512T230546
CREATED:20240813T061300Z
LAST-MODIFIED:20250114T042504Z
UID:18982-1724085000-1724088600@ece.hku.hk
SUMMARY:Variational Bayesian Inference for Sensing Over Wireless Networks
DESCRIPTION:Abstract\nFuture wireless networks are envisioned to provide ubiquitous sensing services\, driving a substantial demand for high-accuracy and low-complexity estimation algorithms. Variational Bayesian inference (VBI) provides a powerful tool for modeling complex estimation problems and leveraging prior information\, but poses a long-standing challenge on computing intractable posterior distributions. In this talk\, we propose two problem formulations that are suitable for different sensing scenarios. In the first formulation\, the sensing problem is modeled as a multi-dimensional non-convex parameter estimation. We propose a parallel stochastic particle VBI (PSPVBI) algorithm to solve this challenging problem. Due to innovations like particle approximation\, added updates of particle positions\, and parallel stochastic successive convex approximation (PSSCA)\, PSPVBI can flexibly drive particles to fit the posterior distribution with acceptable complexity\, yielding high-precision estimates of the target parameters. Furthermore\, additional speedup can be achieved by deep-unfolding this algorithm to obtain a learnable PSPVBI (LPSPVBI). In the second formulation\, the sensing problem is modeled as a structured compressive sensing with a dynamic grid. The state-of-the-art expectation maximization based compressed sensing (EM-CS) methods have a relatively slow convergence speed and each inner iteration in the E-step involves a high-dimensional matrix inverse in general. To better address this problem\, we propose an alternating estimation framework (called AE-SC-VBI) based on a novel subspace constrained VBI (SC-VBI) method\, in which the high-dimensional matrix inverse is replaced by a low-dimensional subspace constrained matrix inverse. We further prove the convergence of the SC-VBI to a stationary solution of the Kullback-Leibler divergence minimization problem. Finally\, we apply the LPSPVBI and AE-SC-VBI to solve several important sensing problems\, including multi-band WiFi sensing and TDD massive MIMO channel extrapolation. Simulations demonstrate that the proposed VBI-based algorithms can achieve a much better tradeoff between complexity per iteration\, convergence speed\, and performance compared to the state-of-the-art algorithms. \nSpeaker\nProf. An LIU\nAssociated Professor\,\nCollege of Information Science and Electronic Engineering\,\nZhejiang University \nBiography of the Speaker\nProf. An LIU (Senior Member\, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Peking University\, China\, in 2004 and 2011\, respectively. From 2008 to 2010\, he was a Visiting Scholar with the Department of ECEE\, University of Colorado at Boulder. He was a Post-Doctoral Research Fellow from 2011 to 2013\, a Visiting Assistant Professor in 2014\, and a Research Assistant Professor with the Department of ECE\, HKUST\, from 2015 to 2017. He is currently an Associated Professor with the College of Information Science and Electronic Engineering\, Zhejiang University. His research interests include wireless communications\, stochastic optimization\, compressive sensing\, and machine/deep learning for communications. He is serving an Editor for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and a member for the Signal Processing for Communications and Networking Technical Committee (SPCOM TC) of IEEE Signal Processing Society. He served as an Editor for IEEE TRANSACTIONS ON SIGNAL PROCESSING and IEEE WIRELESS COMMUNICATIONS LETTERS. \nOrganiser\nProf. Kaibin HUANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240819-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240826T093000
DTEND;TZID=Asia/Hong_Kong:20240826T124000
DTSTAMP:20260512T230546
CREATED:20240805T022655Z
LAST-MODIFIED:20250114T042419Z
UID:18974-1724664600-1724676000@ece.hku.hk
SUMMARY:A New Era of Emerging Microelectronics and Applications
DESCRIPTION:Seminar series under the 2022/23 Theme-based Research Scheme ReRACE: ReRAM Al Chips on the Edge. \nProgramme & Speakers \n\n\n\n09:30am–09:55am\nOpening & Briefing of ReRACE\nProf. Ngai Wong\n\n\n10:00am–10:40am\nEfficient & Secure Edge Al through ReRAM Compute-in-Memory (CIM) Co-Design\nProf. Ngai Wong\, Dr. Zhengwu Liu & Students\n\n\n10:45am–11:25am\nBuilding ReRAM Crossbars and Peripheral Circuitry for Efficient Edge Al\nProf.  Can Li & Students\n\n\n11:30am–12:10pm\nWearable\, Soft Electronics Merging Humans and Machines\nProf. Shiming Zhang & Students\n\n\n12:15pm–12:40pm\nFuture Directions\, Industrial Pointers & Wrap-up\nProf. Ngai Wong\n\n\n\nOrganizer\nProf. Ngai Wong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240826-1/
LOCATION:Lecture Theatre CB-A\, G/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/08/1280-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240827T133000
DTEND;TZID=Asia/Hong_Kong:20240827T143000
DTSTAMP:20260512T230546
CREATED:20240826T065927Z
LAST-MODIFIED:20250114T042326Z
UID:19033-1724765400-1724769000@ece.hku.hk
SUMMARY:IEEE EDS Distinguished Lecturer Seminar: Key Considerations for Obtaining High Performance Contact-controlled Thin-film Transistors
DESCRIPTION:Abstract\nSource-gated transistors (SGTs) have a relatively long history of development but only recently have mainstream technologies allowed for their effective implementation at scale. This talk is addressed to those interested in efficient analog and mixed signal design with advanced thin-film transistors. They provide a development progression with a forward look toward SGT application to future edge processing of sensor data\, signal conditioning\, and current-mode driving. Crucially\, the concept can be applied in practically any material system. As such\, the talk will present the fundamentals of contact effect engineering and modelling\, design rules for successful SGT implementation\, specifics of performance optimisation in thin-film silicon\, organic\, and oxide semiconductors\, and structural evolutions for additional functionality. Finally\, the next step in the evolution of contact-controlled thin-film transistor\, the multimodal transistor (MMT) will be briefly introduced. \nSpeaker\nProf. Radu A. Sporea\nAssociate Professor in Semiconductor Devices\,\nUniversity of Surrey \nBiography of the Speaker\nProf. Radu Sporea is Associate Professor in Semiconductor Devices at the University of Surrey\, and holds an EPSRC Early Career Fellowship (2021-2026). He was RAEng Research Fellow (2011-2016)\, EPSRC PhD+ Fellow (2010-2011) and PhD researcher (2006 – 2010). Radu studied Computer Systems Engineering at “Politehnica” University\, Bucharest\, and worked as Design Engineer for Catalyst Semiconductor Romania on ultra-low-power CMOS analog circuits. Radu was named EPSRC Rising Star in 2014 and received the I K Brunel Award for Engineering in 2015\, the Vice Chancellor’s award for Early Career Teaching in 2017 and the Tony Jeans Inspirational Teaching distinction in 2018. In 2021\, he was a finalist for Innovator of the Year prize at Surrey. His research focuses on advanced thin-film transistors for improved manufacturability\, large area sensors and sensor arrays for smart environments\, and paper-based electronics and physical-digital interaction. He is chair of the IEEE EDS UK and Ireland chapter. \nOrganiser\nProf. Han Wang\nProfessor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nCo-organiser\nIEEE EDS Hong Kong Chapter \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240827-2/
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/2024/08/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240827T160000
DTEND;TZID=Asia/Hong_Kong:20240827T173000
DTSTAMP:20260512T230546
CREATED:20240826T065135Z
LAST-MODIFIED:20250114T042239Z
UID:19031-1724774400-1724779800@ece.hku.hk
SUMMARY:Asymptotic Capacity of 1-Bit MIMO Channels: From Bayesian Statistics to Large-Scale MIMO Communications
DESCRIPTION:Abstract\nLarge-scale MIMO systems utilizing low-resolution analog-to-digital converters (ADCs) have emerged as a cost-effective and energy-efficient solution for future wireless communication networks. While extended research has been conducted on signal processing and transceiver design in these systems\, the fundamental Shannon capacity limit remains elusive. In this talk\, we introduce a novel approach that leverages information-theoretic asymptotics from Bayesian statistics to derive the Shannon capacity of such systems. We reveal the critical role of the Fisher information and Jeffreys’ prior in this characterization\, and demonstrate how to apply this method to derive the asymptotic capacity of 1-bit MIMO channels in the Gaussian and the (coherent and non-coherent) fading cases. \nSpeaker\nProf. Sheng Yang\nFull Professor\,\nParis-Saclay University \nBiography of the Speaker\nProf. Sheng Yang received the B.E. degree in electrical engineering from Jiaotong University\, Shanghai\, China\, in 2001\, and both the engineer degree and the M.Sc. degree in electrical engineering from Telecom Paris\, France\, in 2004\, respectively. In 2007\, he obtained his Ph.D. from Université de Pierre et Marie Curie (Paris VI). From October 2007 to November 2008\, he was with Motorola Research Center in Gif-sur-Yvette\, France\, as a senior staff research engineer. Since December 2008\, he has joined CentraleSupélec\, Paris-Saclay University\, where he is currently a full professor. He has also hold visiting professorships in the University of Hong Kong (2015\, 2016) and the Hong Kong University of Science and Technology (2023\, 2024). He received the 2015 IEEE ComSoc Young Researcher Award for the Europe\, Middle East\, and Africa Region (EMEA). He was an associate editor of the IEEE transactions on wireless communications from 2015 to 2020. He is currently an associate editor of the IEEE transactions on information theory. \nOrganiser\nProf. Kaibin Huang \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240827-1/
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/2024/08/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240829T100000
DTEND;TZID=Asia/Hong_Kong:20240829T150000
DTSTAMP:20260512T230546
CREATED:20240814T071715Z
LAST-MODIFIED:20250114T042119Z
UID:18984-1724925600-1724943600@ece.hku.hk
SUMMARY:Unveiling Neural Activities through Advanced Microscopic Technologies
DESCRIPTION:This workshop will include notable speakers from various universities in Hong Kong and we shall further discuss regarding the potential and advancement of neuroimaging technologies. \n \nProgramme and Speakers:\n \n\n\n\n\nTime\n\n\nActivity\n\n\n\n\n09:30 am – 10:00 am\n\n\nRegistration\n\n\n\n\n10:00 am – 10:15 am\n\n\nOpening\, Welcome Speech\, and Photo Sessions\n– Prof. Kenneth Kin-Yip Wong\, HKU\n\n\n\n\n10:15 am – 10:40 am\n\n\nTalk 1: Pushing the Limit of kHz Multiphoton FACED Imaging\n– Prof. Kevin Tsia\, HKU\n\n\n\n\n10:40 am – 11:05 am\n\n\nTalk 2: Counteracting Brain Aging: Recent Progress and Potential Further Applications of In Vivo Imaging\n– Dr. Junzhe Huang\, CUHK\n\n\n\n\n11:05 am – 11:30 am\n\n\nTalk 3: Empowering Multimode Fiber for Minimally Invasive Deep-brain Imaging with Wavefront Shaping\n– Prof. Puxiang Lai\, HKPolyU\n\n\n\n\n11:30 am – 11:55 am\n\n\nTalk 4: Volumetric Multiphoton Microscopy with Non-diffracting Beams\n– Dr. Hongsen He\, HKU\n\n\n\n\n11:55 am – 14:00 pm\n\n\nLunch Break\n\n\n\n\n02:00 pm – 02:25 pm\n\n\nTalk 5: Intravital Imaging in Learning and Memory\n– Prof. Cora Sau Wan Lai\, HKU\n\n\n\n\n02:25 pm – 02:50 pm\n\n\nTalk 6: Illuminating Links Between Neural Circuit Activity and Behaviour\n– Prof. Michael Hausser\, HKU\n\n\n\n\n02:50 pm – 03:00 pm\n\n\nClosing Remarks\n– Prof. Kenneth Kin-Yip Wong\, HKU\n\n\n\n\nOrganiser\nProf. Kenneth Kin-Yip Wong\nElectrical and Electronic Engineering Department\,\nThe University of Hong Kong (HKU) \nCo-organisers\nChinese University of Hong Kong (CUHK)\nHong Kong Polytechnic University (HKPolyU) \nFunded by\nCollaborative Research Fund (C7074-21G) \nAll are welcome! Save the date and we look forward to seeing you soon.
URL:https://ece.hku.hk/events/20240829-1/
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/2024/08/1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240906T153000
DTEND;TZID=Asia/Hong_Kong:20240906T163000
DTSTAMP:20260512T230546
CREATED:20240904T041742Z
LAST-MODIFIED:20250114T042015Z
UID:19089-1725636600-1725640200@ece.hku.hk
SUMMARY:Mechanism Design for Federated Learning with Unstateful Clients
DESCRIPTION:Abstract\nFederated learning (FL) is an attractive distributed machine learning paradigm that enables numerous clients to collaboratively train a model under the coordination of a central server\, while keeping the training data private. However\, without sufficient incentive\, clients may be reluctant to participate in FL due to the associated training costs and variant availability. Moreover\, clients’ availability can be inconsistent\, leading to periodic or random participation—a phenomenon known as unstatefulness. This variability renders existing incentive mechanisms\, designed for full or partial client participation throughout the entire training process\, ineffective. \nIn this talk\, we propose a game-theoretic incentive mechanism for FL with randomized client participation\, where the server adopts a customized pricing strategy to motivate clients to participate at different levels (probabilities). Each client responds to the server’s monetary incentive by choosing its optimal participation level to maximize its profit\, considering both the incurred local cost and its intrinsic value for the model. We show that intrinsic value (internal motivation) introduces the intriguing possibility of bidirectional payments between the server and clients\, leading to a more efficient pricing strategy and enhanced model performance. \nSpeaker\nProf. Bing Luo\nAssistant Professor of Data and Computational Science\,\nDuke Kunshan University (DKU) \nBiography of the Speaker\nProf. Bing Luo is an Assistant Professor of Data and Computational Science at Duke Kunshan University (DKU). He earned his Ph.D. from The University of Melbourne and served as a joint Postdoctoral Researcher at The Chinese University of Hong Kong (Shenzhen) and Yale University. Prior to his Ph.D.\, he worked as a project manager at the China Mobile Corporation Headquarter. His current research interests include the theory and practice of federated and edge learning\, with a focus on optimization and game-theoretical design\, as well as embedded AI for mobile systems. More information can be found in this webpage: https://luobing1008.github.io/ \nOrganiser\nProf. Xianhao Chen\nAssistant Professor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240906-1/
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/2024/09/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240912T170000
DTEND;TZID=Asia/Hong_Kong:20240912T180000
DTSTAMP:20260512T230546
CREATED:20240906T071948Z
LAST-MODIFIED:20250114T041725Z
UID:19099-1726160400-1726164000@ece.hku.hk
SUMMARY:RPG Seminar – Stretchable Organic Electrochemical Transistors for Wearable Applications
DESCRIPTION:Abstract\nOrganic electrochemical transistors (OECT) have emerged as a promising technology paradigm for wearable healthcare applications. However\, several major challenges limit their widespread adoption in real-world applications: 1) the lack of conformable and stretchable OECT units to reduce the mechanical mismatch between devices and the soft human body; 2) the lack of reliable fabrication methods to enable scalable manufacturing of intrinsically stretchable OECT arrays with smaller feature sizes and high density; and 3) the lack of miniaturized readout systems to enable wearable-sized assembly for practical on-body applications. Herein we present a wearable\, integrated\, and soft electronic (WISE) platform based on intrinsically stretchable OECT arrays\, addressing all these challenges. The WISE-platform achieves: 1) intrinsically stretchability (>50%) by establishing a standardizable material protocol for device assembly; 2) a scalable fabrication of stretchable OECTs arrays with feature size down to 100 μm using a high-resolution 6 channel inkjet printing system; and 3) a customized\, coin-sized data readout system for easy acquisition of biosignals at their origin. As an example\, we demonstrate the use of the coin-sized\, smartwatch-compatible electronic module for wearable in-sensor computing at the edge\, but other application scenarios can be easily imagined. \nSpeaker\nMr. Liu Dingyao\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nDingyao Liu received his B.Sc. in Applied Chemistry from Xi’an Jiaotong University and M.Eng. in Polymer Science and Engineering from Sichuan University. He is interested in the design\, fabrication\, and characterization of soft materials. He is currently a Ph.D. candidate in the WISE Research Group aiming to developing high-performance and miniaturized soft OECTs for wearable bioelectronic applications. \nOrganiser\nProf. Shiming Zhang \nAll are welcome.
URL:https://ece.hku.hk/events/20240912-1/
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:20240912T180000
DTEND;TZID=Asia/Hong_Kong:20240912T190000
DTSTAMP:20260512T230546
CREATED:20240906T071453Z
LAST-MODIFIED:20250114T041645Z
UID:19097-1726164000-1726167600@ece.hku.hk
SUMMARY:RPG Seminar – Coin-sized\, Fully Integrated\, and Minimally Invasive Continuous Glucose Monitoring System Based on Organic Electrochemical Transistors
DESCRIPTION:Abstract\nContinuous glucose monitoring systems (CGMs) are critical toward closed-loop diabetes management. The field’s progress urges next-generation CGMs with enhanced antinoise ability\, reliability\, and wearability. Here\, we propose a coin-sized\, fully integrated\, and wearable CGM\, achieved by holistically synergizing state-of-the-art interdisciplinary technologies of biosensors\, minimally invasive tools\, and hydrogels. The proposed CGM consists of three major parts: (i) an emerging biochemical signal amplifier\, the organic electrochemical transistor (OECT)\, improving the signal-to-noise ratio (SNR) beyond traditional electrochemical sensors; (ii) a microneedle array to facilitate subcutaneous glucose sampling with minimized pain; and (iii) a soft hydrogel to stabilize the skin-device interface. Compared to conventional CGMs\, the OECT-CGM offers a high antinoise ability\, tunable sensitivity and resolution\, and comfort wearability\, enabling personalized glucose sensing for future precision diabetes health care. Last\, we discuss how OECT technology can help push the limit of detection of current wearable electrochemical biosensors\, especially when operating in complicated conditions. \nSpeaker\nMr. Bai Jing\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Jing Bai received his B.Eng. in Software Engineering and B.Mgmt. in Business Administration at Xi’ an Jiaotong University. He was working on industrial projects related to inkjet printing control systems\, microcontrollers\, and human-machine interfaces. Jing is currently a PhD candidate in HKU-WISE Lab. He aims to establish a reliable and standardized manufacturing method for soft OECTs with fully printing technologies\, and using high-density soft OECT arrays for emerging biosensing and computing applications. \nOrganiser\nProf. Shiming Zhang \nAll are welcome.
URL:https://ece.hku.hk/events/20240912-2/
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:20240912T190000
DTEND;TZID=Asia/Hong_Kong:20240912T200000
DTSTAMP:20260512T230546
CREATED:20240906T071640Z
LAST-MODIFIED:20250114T041612Z
UID:19098-1726167600-1726171200@ece.hku.hk
SUMMARY:RPG Seminar – Detect The Undetectable in Wearables and Human-Machine Interfaces: pM-Level Biomolecular Detection with ETRS
DESCRIPTION:Abstract\nOrganic electrochemical transistors (OECTs) are emerging as next-generation biosensing technologies due to their capacity to amplify biosignals at low power\, making them particularly suitable for developing sensitive wearable sensors capable of detecting low-concentration biosignals. Current technologies predominantly focus on maximizing the transconductance (amplification capability) of OECTs\, which proves effective for direct electrophysiological detection. However\, in the case of complex biochemical sensing\, involving a multi-stage reaction\, the detection limit depends not only on the amplification capacity but also on the reactions at the gate electrode. In this study\, we introduce the concept of OECTs resonant spectroscopy\, where we have found that a resonant frequency exists\, which can lower the limit of detection (LoD) of the sensor by 1-2 orders. The resonant frequency reflects the peaking synergy at which the dynamic binding-debinding process of targeted molecules and the transconductance of OECTs achieve optimal coupling. The proposed resonance-mode OECTs could serve as a new paradigm applicable to a wide range of biosensing applications that demand higher sensitivity. \nSpeaker\nMr. Tian Xinyu\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Xinyu Tian received his B.Eng in Control & Measurement Technology and Instrument from Tianjin University and M.Sc. in Material Science Engineering from the University of California\, San Diego He is currently a Ph.D. student in the WISE Research Group working on miniaturized OECTs systems for wearable applications. He is a key contributor to the “PERfECT” system which is the world`s smallest system for wearable OECT characterization. \nOrganiser\nProf. Shiming Zhang \nAll are welcome.
URL:https://ece.hku.hk/events/20240912-3/
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:20240912T200000
DTEND;TZID=Asia/Hong_Kong:20240912T210000
DTSTAMP:20260512T230546
CREATED:20240906T081639Z
LAST-MODIFIED:20250114T041532Z
UID:19102-1726171200-1726174800@ece.hku.hk
SUMMARY:RPG Seminar – Stretchable\, Sticky\, and Sensorized Hydrogel Dressing for Wound Monitoring System
DESCRIPTION:Abstract\nChronic wounds resulting from underlying diseases like diabetes pose a significant healthcare challenge\, necessitating continuous monitoring and timely intervention to avoid medical complications. Smart bandages integrating multifunctional sensors offer the potential for monitoring chronic wounds caused by diabetes and other underlying diseases\, thereby relieving hospitals from labor-intensive analysis and avoiding medical delays. We fabricated a stretchable organic electrochemical transistor (OECT)-based sensing technology which is a reference electrode-free technique with high sensitivity and excellent tissue compatibility. To ensure patient comfort and convenience\, the OECT-based glucose sensors are seamlessly integrated into a coin-sized wearable readout system and a durable hydrogel dressing patch. In the end\, we also integrated a conductive hydrogel dressing for wound healing. This innovative design renders the sensors imperceptible to patients\, promoting compliance with the monitoring regimen. This work represents a significant step forward in developing digital wearables for chronic wound care and holds promise in transforming the landscape of chronic wound management. \nSpeaker\nMr. Cui Binbin\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Binbin Cui received his B.S. in Applied Chemistry from Nankai University. He was a research intern in the Stoddart group at Northwestern University for Supramolecular Chemistry research. He is interested in the chemical and electrochemical functionalization of thin-film electrodes for molecular analysis\, and conductive hydrogel for wearable devices application. He is currently a Ph.D. student in the WISE Research Group working on OECT-based biosensors for healthcare applications. \nOrganiser\nProf. Shiming Zhang \nAll are welcome.
URL:https://ece.hku.hk/events/20240912-4/
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:20240917T160000
DTEND;TZID=Asia/Hong_Kong:20240917T170000
DTSTAMP:20260512T230546
CREATED:20240911T031453Z
LAST-MODIFIED:20250114T041231Z
UID:19134-1726588800-1726592400@ece.hku.hk
SUMMARY:Integrated Sensing and Communications at Mobile Edge
DESCRIPTION:Abstract\nThe emergence of the metaverse and digital twin technologies necessitates addressing key challenges in mapping the large-scale physical world to virtual domains. Integrated sensing and communication techniques\, particularly wireless communications and radar sensing in millimetre-wave bands\, will play a crucial role in achieving this goal and will be a significant enabling technology for 6G networks. The newly introduced sensing function at the mobile edge presents two main challenges: merging sensing information with existing sensors and ensuring efficient data transmission. As different sensors have different data modalities\, this talk will first discuss the recognition under multi-modal dataset. With the help of Variational Autoencoders\, data from different modalities are mapped into a latent variable space with the same prior distribution. As a representation of the original data\, the latent variables contain higher-level semantic information\, thereby simplifying the recognition task. Then\, novel federated learning algorithms to ensure the data privacy at mobile edge and reduce the communication traffic will be presented. \nSpeaker\nProf. Arumugam Nallanathan\nProfessor of Wireless Communications\,\nQueen Mary University of London \nBiography of the Speaker\nProf. Arumugam Nallanathan is Professor of Wireless Communications and the founding head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017\, where he was Professor of Wireless Communications from April 2013 to August 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering\, National University of Singapore from August 2000 to December 2007. His research interests include 6G Wireless Networks and Internet of Things (IoT). He published more than 700 technical papers in scientific journals and international conferences. He is a co-recipient of the Best Paper Awards presented at the IEEE International Conference on Communications 2016 (ICC’2016)\, IEEE Global Communications Conference 2017 (GLOBECOM’2017) and IEEE Vehicular Technology Conference 2017 (VTC’2017). He is a co-recipient of IEEE Communications Society Leonard G. Abraham Prize\, 2022. \nHe was an Editor-at-Large for IEEE Transactions on Communications\, Editor for IEEE Transactions on Wireless Communications\, IEEE Transactions on Vehicular Technology and IEEE Signal Processing Letters\, a senior editor for IEEE Wireless Communications Letters and a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC). He served as the Chair for the Signal Processing and Computing for Communications (SPCC-TC) of IEEE Communications Society and Technical Program Chair and member of Technical Program Committees in numerous IEEE conferences. He received the IEEE Communications Society SPCE outstanding service award 2012 and IEEE Communications Society RCC outstanding service award 2014. He has been selected as a Web of Science (ISI) Highly Cited Researcher in 2016\, 2022 and 2023. He is an IEEE Fellow and IEEE Distinguished Lecturer. \nOrganiser\nProf. Yuanwei Liu\nProfessor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240917-1/
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/2024/09/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240930T110000
DTEND;TZID=Asia/Hong_Kong:20240930T120000
DTSTAMP:20260512T230546
CREATED:20240925T023301Z
LAST-MODIFIED:20250114T040833Z
UID:19155-1727694000-1727697600@ece.hku.hk
SUMMARY:Turbine Rocket Experimental (TReX) Spaceship - An Answer to SpaceX Superheavy-Starship
DESCRIPTION:Dear Colleagues and Students\, \nYou are cordially invited to join the upcoming seminar on “Turbine Rocket Experimental (TReX) Spaceship – An Answer to SpaceX Superheavy-Starship”. Please find the details below. \nDate: 30 September 2024 (Monday)\nTime: 11:00 am – 12:00 noon (HKT)\nVenue: Room 603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong\nZoom: https://hku.zoom.us/j/93424497472?pwd=caVqiD02btCx1qdnHdVoSZERVHGT95.1 \nSpeaker: Prof. Joseph Y Hui\nArizona State University \nModerators: Prof. Victor OK Li & Prof. Jacqueline CK Lam\nDirector & Co-director\,\nHKU-Cambridge AI-WiSe \nAbstract:\nWe present a low cost reusable 2-stage rockets 1/100th the size of SpaceX Superheavy Starship. TReX Spaceship uses atmospheric oxygen for takeoff by Hydrogen Gas Turbine Generator and level flight by TReX Ramjet. Above 50 km\, GOH (gaseous-oxygen-hydrogen) rocket engines bring Spaceship to orbit. 20 persons can travel from Hong Kong to New York City in 2 hours\, mostly in Space at Mach-6 speed. No airport\, flight schedule or check-in are necessary with ride-sharing. We bring 10 tons of payload to low earth orbit by a 2-stage rocket at $100/kg. 2nd-stage rocket is reusable with fast turnaround. Key advances are: use high pressure gaseous propellants and atmospheric air. Our TReX engines are 1/100 smaller than SpaceX Raptor engines. TReX will beat Raptor for a better\, safer\, and cheaper ride to Space. \nBiography of the Speaker:\nJoseph Hui matriculated 1977 and won the IIE scholarship to attend MIT\, where he earned his BS’81\, MS’81\, EE’82\, and PhD’83 in Electrical Engineering. He worked at Bell Labs\, Bellcore\, Comsat\, and IBM before he joined academia 1989 at Rutgers University where he became Full Professor in 1996 and IEEE Fellow 1997. He has taught at Columbia University and the Chinese University of Hong Kong\, before joining Arizona State University as ISS Chair Professor until 2015 as Professor Emeritus. He works on the 3E’s of Energy\, Environment\, and Education\, focusing on global carbon neutrality by 2050 hydrogen gas turbines. His AWESOME inventions include clean Air\, Water\, Energy\, and safe travel by Space\, Ocean\, Maglev\, and Electric-aviation as described in the Awesome Solarman YouTube Channel. \nLooking forward to welcoming you at the seminar next Monday. \nBest Regards\,\nVictor OK Li & Jacqueline CK Lam\nDepartment of Electrical and Electronic Engineering
URL:https://ece.hku.hk/events/20240930-1/
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/2024/09/1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241002T110000
DTEND;TZID=Asia/Hong_Kong:20241002T120000
DTSTAMP:20260512T230546
CREATED:20240603T024223Z
LAST-MODIFIED:20250114T040742Z
UID:18753-1727866800-1727870400@ece.hku.hk
SUMMARY:Ultrasound and Microbubbles for Anticancer Drug Delivery: From Physics to Clinics
DESCRIPTION:Abstract\nUltrasound\, in conjunction with microbubbles\, offers a promising drug delivery method. This approach\, known as sonoporation\, enables targeted drug delivery by temporarily permeating biological barriers (e.g.\, cell membrane\, vessel wall) under ultrasound insonation. It shows potential for a wide range of therapeutic agents\, including chemotherapeutics\, nucleic acids\, peptides\, and antibodies. While preclinical studies have demonstrated promise\, several challenges must be addressed for clinical translation. These include standardizing ultrasound parameters\, selecting suitable microbubbles\, identifying optimal clinical applications\, and resolving questions about administration methods and treatment schedules. Additionally\, the type and concentration of microbubbles\, as well as their response to ultrasound activation\, play critical roles. The ultimate goal is to facilitate the adoption of this technology in clinical settings\, and ongoing and future trials aim to further advance drug delivery through sonoporation. \nSpeaker\nDr. Ayache BOUAKAZ\nIEEE Ultrasonics Distinguished Lecturer\,\nResearch Director of the INSERM Imaging and Brain Institute (iBrain)\,\nUniversity of Tours\, France \nBiography of the Speaker\nDr. Ayache BOUAKAZ obtained his Master degree and his PhD in acoustics in 1992 and 1996 at the National Institute of Applied Sciences in Lyon\, France (INSA Lyon). In 1998\, he joined the Pennsylvania State University at State College\, PA\, USA as a Research Fellow. From December 1999 to November 2004\, he held a Senior Research Associate position at Erasmus Medical Center in Rotterdam\, the Netherlands. His research focused on ultrasound imaging\, ultrasound contrast agents and transducer design. In 2004\, he obtained a position as an Inserm researcher and since 2009\, he has held the position of research director at the Inserm Imaging and Brain institute (iBrain) and the position of Adjunct Professor of Biomedical engineering\, University of Tours\, where he heads the ultrasound imaging and therapy group. His research focuses on imaging and therapeutic applications of ultrasound. Ha was a Chair Professor at the Jiaotong University of Xi’an in China (2017- 2022). He is the general chair of the international conference IEEE International Ultrasonics Symposium (IEEE IUS) 2016 in Tours\, France and co-general chair of the IEEE IUS 2021\, in Xi’an China (virtual meeting). He has served as the vice-president of the IEEE UFFC society in charge of Symposia from 2017-2020 and an elected board member of the International Therapeutic Ultrasound society (2017 – 2019). He has been awarded the distinguished lecturer award of the IEEE UFFC society 2023-2024. He has published more than 220 articles in peer-reviewed journals\, more than 100 articles published in conference proceedings and has filed 9 patents. \nOrganiser\nProf. W.-N. LEE \nCo-organisers\nIEEE Advancing Technology for Humanity\nIEEE Ultrasonics Ferroelectrics and Frequency Control Society\nTam Wing Fan Innovation Wing Two \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241002-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241008T140000
DTEND;TZID=Asia/Hong_Kong:20241008T150000
DTSTAMP:20260512T230546
CREATED:20241003T102505Z
LAST-MODIFIED:20250114T034443Z
UID:19243-1728396000-1728399600@ece.hku.hk
SUMMARY:Fiber Optic Modes and Imaging Basics
DESCRIPTION:Abstract\nThis talk will focus on some simplified concepts to help understand graded-index multimode fibers which are commonly used in short reach (<100 m) optical links in Data Centers and Super Commuter applications.  Simplified first order estimates often provide useful insights and are a good first step before turning to more detailed numerical modelling. \nSpeaker\nDr. Wayne V. Sorin\nLife Fellow of the IEEE \nBiography of the Speaker\nWayne V. Sorin received his Ph. D. in Electrical Engineering from Stanford University in 1986.  After graduation\, he worked for over 14 years as a scientist in the area of fiber optics at Hewlett-Packard Laboratories.  He then spent 7 years at the start-up company Novera Optics which focused on WDM-PONs for access networks.  Later he spent a year at the University of Melbourne as a Senior Research Fellow.  For the last 14 years\, he has been back at Hewlett Packard Labs working in the area of high-bandwidth short-reach optical communications for computer applications. \nWayne is an inventor on over 165 US patents and an author on over 150 journal and conference papers.  He has been an Associate Editor for the IEEE journal “Photonics Technology Letters” and has served a 3-year term on the Board of Governors for the IEEE Lasers and Electro-Optics Society which is now called the Photonics Society.  Wayne also served as the General Co-Chair for OFC’2002 (Optical Fiber Communications conference).  He was a contributing author for the textbook “Fiber Optic Test and Measurement” (Prentice Hall\, 1997) and has spent 4 years on the part-time faculty of San Jose State University.  Wayne is a Life Fellow of the IEEE.\n\nOrganiser\nProf. Kenneth K.Y. Wong\nProfessor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241008-1/
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/2024/10/1280-5.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241009T160000
DTEND;TZID=Asia/Hong_Kong:20241009T170000
DTSTAMP:20260512T230546
CREATED:20241004T081613Z
LAST-MODIFIED:20250114T034350Z
UID:19268-1728489600-1728493200@ece.hku.hk
SUMMARY:What is the Value of Magnetic Resonance Elastography (MRE) for Clinical and Cognitive Brain Science?
DESCRIPTION:Joint Seminar Organised by the Department of Electrical & Electronic Engineering & Department of Psychology \n \nDate: 9 October 2024 (Wednesday)\nTime: 4:00 pm – 5:00 pm\nVenue: Room 1103\, 11/F\, The Jockey Club Tower\, The University of Hong Kong \nZoom Meeting (For participants who couldn’t attend the Seminar in person):\nhttps://hku.zoom.us/j/6985555998?pwd＝V05yTGJWNTlzazd2OFZ0Q3FReHVkdz09\nMeeting ID: 698 555 5998 I Password: Psyc \nAbstract:\nMagnetic Resonance Elastography (MRE) is a Magnetic Resonance Imaging (MRI) technique that receives close attention because it allows non-invasive measurement of a fundamental physical quantity\, namely the mechanical properties (i.e. elasticity and viscosity) of tissues. The technique was first described in a publication in the journal Science in 1995 (Muthupillai et al.\, 1995). Mechanical vibrations are introduced in the organ of interest via an appropriate actuator and the acoustic waves that are produced are imaged by using a phase sensitive MRI technique. Tissue stiffness is related to the speed of the propagating waves and mathematical inversion techniques are applied to produce a parametric map that is referred to as an elastogram. The capability to perform MRE is now available on 1\,000’s of commercial MRI systems worldwide and application of MRE to grade the severity of fibrosis in patients with liver disease is replacing the need for invasive biopsy. Meanwhile a substantial body of research has been performed concerning the study of the brain and which will be reviewed. The MRE technique offers the possibility of exquisite sensitivity through an inherently large dynamic range and robust quantification\, and of particular interest will be to consider the resources that are required to establish potential new research projects in clinical and cognitive neuroscience concerning brain MRE. The presentation will conclude with a glimpse into the future and consideration of what is state of the art in MRE research and how MRE is influencing clinical practice. \nSpeaker:\nProf. Neil Roberts\nChair of Medical Physics and Imaging Science\,\nUniversity of Edinburgh\, UK \nBiography of the Speaker:\nAfter graduating in Physics from the University of Liverpool\, Neil was awarded a Personal Fellowship from the Natural Environment Research Council (NERC) and subsequently moved to the USA where he was Research Associate at University of California in Santa Barbara (UCSB). Returning to the UK\, Neil was appointed Lecturer at the University of Liverpool\, Magnetic Resonance and Image Analysis Research Centre (MARIARC)\, which was built to house the UK’s first commercial Magnetic Resonance Imaging (MRI) system\, to set up an Image Analysis Laboratory\, and where he was subsequently appointed Director. In 2009 Neil was appointed Chair of Medical Physics and Imaging Science at the University of Edinburgh and is based in the Centre for Reproductive Health (CRH) in the Institute for Regeneration and Repair (IRR). \nNeil’s chosen research is quantitative Magnetic Resonance Imaging (qMRI) and he has published over 200 relevant peer-reviewed scientific articles concerning application of different MRI techniques ( e.g. structural MRI\, DTI\, ±MRI\, MRS) in clinical research and especially in clinical and cognitive neuroscience. Most prominent is the technique of Magnetic Resonance Elastography (MRE) for non-invasive measurement of tissue mechanical properties\, and in collaboration with Dr. Richard Ehman at the Mayo Clinic\, Minnesota\, USA this is being applied in studies of the uterus with Professor Hilary O.D. Critchley at the University of Edinburgh\, of brain with Professor Meiyun Wang\, Henan Academy of Science\, ZhengZhou\, China and Professor Yoshiyuki Watanabe\, Shiga University of Medical Science (SUMS)\, Japan and of muscle with Dr. Uraiwan Chatchawan\, Khon Kaen University (KKU)\, Thailand. \nDetails of the Seminar: https://psychology.hku.hk/events/2024-10-09 \n  \nEnquiry: bbecker@hku.hk \nAll are welcome! We look forward to seeing you.
URL:https://ece.hku.hk/events/20241009-1/
LOCATION:Room 1103\, 11/F\, The Jockey Club Tower\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241017T140000
DTEND;TZID=Asia/Hong_Kong:20241017T150000
DTSTAMP:20260512T230546
CREATED:20241009T044459Z
LAST-MODIFIED:20250114T034058Z
UID:19291-1729173600-1729177200@ece.hku.hk
SUMMARY:RPG Seminar – AI-Embedded Stretchable E-Skin For Wearable\, Real-Time Muscle Proprioception
DESCRIPTION:Abstract\nStretchable and skin-attachable sensors hold significant potential for personalized health monitoring and sports enhancement applications. However\, the development of wearable\, stretchable e-skins that empower humans with muscle proprioception abilities is still lacking. We introduce an innovative approach that integrates stretchable e-skin with conductive hydrogels and an advanced Transformer model\, creating an AI-embedded stretchable e-skin with unique muscle proprioception capabilities. Additionally\, the embedded quantized neural networks enable precise and real-time predictions of joint torque in edge scenarios\, making our smart e-skin a promising solution for broad wearable applications. \nSpeaker\nMr. Pang Ivo\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the speaker\nIvo Pang received his BEng in Biomedical Engineering (BME) from the University of Hong Kong. He is currently an MPhil student in the WISE Research Group\, focusing on stretchable wearable devices for healthcare applications. \nOrganizer:\nProf. Shiming Zhang \nAll are welcome.
URL:https://ece.hku.hk/events/20241017-1/
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:20241018T140000
DTEND;TZID=Asia/Hong_Kong:20241018T150000
DTSTAMP:20260512T230546
CREATED:20241010T015619Z
LAST-MODIFIED:20250114T034021Z
UID:19303-1729260000-1729263600@ece.hku.hk
SUMMARY:Enhancing Contrast\, Field of View and Axial Resolution of Structured Illumination Microscopy
DESCRIPTION:Direction to Innovation Wing Two: https://innowings.engg.hku.hk/innowing2/visitors \nAbstract\nSuper-resolved structured illumination microscopy (SR-SIM) is among the most flexible\, fastest and least perturbing fluorescence microscopy techniques capable of surpassing the optical diffraction limit. Current custom-built instruments are easily able to deliver two-fold resolution enhancement at video-rate frame rates\, but the cost of the instruments is still relatively high and the physical size of the instruments is still prohibitively large. We have developed compact\, cost-efficient and high-speed 2D-\, grazing-incidence- and TIRF-SIM to overcome these limitations. A fiber-based illumination path allows multi-color imaging with a field-of-view (FOV) of up to 230×230 µm². A novel method called multi-angle TIRF SIM allows an image reconstruction with an enhanced axial resolution. The setup consists of a fiber-coupled laser combiner with 405 nm\, 491 nm\, 561 nm and 639 nm laser sources\, a fiber-switch to select the desired illumination angle with integrated phase shifters and a hexagonal fiber collimator with a lens telescope that projects the beams into the back-focal plane of the objective lens. All modules of the illumination path are home-built to achieve highest stability and a compact size. The rotation of the illumination angle is performed by two galvo-mirrors that select the corresponding pair of fibers and phase shifts of the zero order beam and one of the two first order beams are performed by home-built\, MEMS-mirror based phase-shifters that modulate the optical path length. The phase shifters and galvo-mirrors allow transition times between illumination patterns of less than 1 ms. The hexagonal collimator allows to adjust the pattern spacing in the sample seamlessly\, within a transition time of 100 ms. The capability of the setup is demonstrated by multicolor imaging of fixed liver endothelial cells (LSECs) and mouse brain tissue slices with TIRF- and 2D-SIM with a FOV of up to 230×230 µm² and a lateral resolution of up to 85 nm. Moreover\, an improved version of this setup was used with a wide-field FLIM detector for super-resolved FLIM-SIM\, which was applied for live-cell imaging and dye-multiplexing. \nSpeakers: Dr. Henning Ortkrass & Mr. Manuel Kunisch\nBielefeld University \nBiography of the Speakers: \nHenning Ortkrass is PostDoc in the research group of Prof. Dr. Thomas Huser in the field of biomolecular photonics. He obtained his PhD in 2024 with a thesis on novel approaches on super-resolution structured illumination microscopy (SIM)\, including the development of a large-FOV\, multi-color\, high-speed\, fiber-based TIRF-SIM system. Additionally\, he developed and applied a compact\, cost-efficient\, interferometric SIM system for joint fluorescent lifetime imaging microscopy. These systems were successfully used in live-cell applications. Besides his research focus on novel soft- and hardware solutions for more versatile SIM microscopy\, he currently prepares a start-up company to make this methods more user-friendly and commercially available. \nManuel Kunisch is PhD student at the Biomolecuar Photonics lab led by Thomas Huser at the Bielefeld University. He obtained his Bachelor’s degree in 2021 with a thesis about the fast reconstruction of hyperspectral coherent Raman scattering (HS-CRS) data. In this context\, a Python-based reconstruction tool with a user-friendly GUI was conceived and is still under development to facilitate the creation of false-color coded images from hyperspectral data separating distinct molecular groups based on their spectral response in individual channels. \nOrganiser: Professor Kenneth K.Y. Wong\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nCo-organiser: Tam Wing Fan Innovation Wing Two \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241018-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280-4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241021T110000
DTEND;TZID=Asia/Hong_Kong:20241021T120000
DTSTAMP:20260512T230546
CREATED:20241016T064446Z
LAST-MODIFIED:20250114T033931Z
UID:19308-1729508400-1729512000@ece.hku.hk
SUMMARY:Big AI for Small Devices
DESCRIPTION:Abstract\nAs artificial intelligence (AI) transforms industries\, state-of-the-art models have exploded in size and capability. However\, deploying these models on resource-constrained edge devices remains a significant challenge. Smartphones\, wearables\, and IoT sensors face stringent limitations on compute\, memory\, power\, and communication\, creating a gap between demanding AI models and edge hardware capabilities that hinders the deployment of intelligence. In this talk\, we will re-examine techniques to bridge this gap and embed big AI on small devices. We will begin by discussing how the properties of various hardware platforms impact the design strategies of efficient deep neural network (DNN) models\, such as quantization and pruning. Next\, we will discuss techniques aimed at reducing the inference and training costs of distributed collaborative edge AI systems. Finally\, we will delve into the underlying design philosophies and their evolution toward efficient\, scalable\, robust\, and secure edge computing systems. \nSpeaker\nProf. Yiran Chen\nJohn Cocke Distinguished Professor of Electrical and Computer Engineering\,\nDuke University \nBiography of the Speaker\nProf. Yiran Chen is the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University. He serves as the principal investigator and director of the NSF AI Institute for Edge Computing – Athena\, the NSF Industry-University Cooperative Research Center for Alternative Sustainable and Intelligent Computing (ASIC)\, and the co-director of the Duke Center for Computational Evolutionary Intelligence (DCEI). Dr. Chen is the author of over 600 publications and holds 96 US patents. His works have been recognized with numerous awards and honors\, including the IEEE Circuits and Systems Society’s Charles A. Desoer Technical Achievement Award and the IEEE Computer Society’s Edward J. McCluskey Technical Achievement Award. He is a Fellow of AAAS\, ACM\, IEEE\, and NAI\, and the inaugural Editor-in-Chief of IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI).\n\nOrganiser\nProf. K.B. Huang\nProfessor & Head of Department\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241021-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241104T110000
DTEND;TZID=Asia/Hong_Kong:20241104T120000
DTSTAMP:20260512T230546
CREATED:20241029T071514Z
LAST-MODIFIED:20250114T033626Z
UID:19354-1730718000-1730721600@ece.hku.hk
SUMMARY:Fundamental Principle of Magnetic Levitation for AI Driven Maglev Rides
DESCRIPTION:  \nSeminar on “Fundamental Principle of Magnetic Levitation for AI Driven Maglev Rides” \nDear Colleagues and Students\, \nYou are cordially invited to join the upcoming seminar on “Fundamental Principle of Magnetic Levitation for AI Driven Maglev Rides”. Please find the details below. \nDate: 4 November 2024 (Monday)\nTime: 11:00 am – 12:00 noon (HKT)\nVenue: Room 603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong\nZoom: https://hku.zoom.us/j/97401048897?pwd=WS8LiUbmLYOCce4bIWW8nHbHSDrJg0.1\nMeeting ID: 974 0104 8897\nPassword: 980783\n\nSpeaker\nProf. Joseph Y Hui\nArizona State University \nModerators\nProf. Victor O.K. Li & Prof. Jacqueline C.K. Lam\nDirector & Co-director\,\nHKU-Cambridge AI-WiSe \nAbstract\nElectric propulsion was invented by Michael Faraday who laid the foundation of electric locomotion. Subsequent effort for magnetic levitation has failed to replace wheels as the primary means of reducing impedance to locomotion. My thesis is that levitation should start from Ampere’s law:\n\nBased on this first principle\, I invented and patented a method that will make cars obsolete. Personal AI driven maglev is small\, simple\, silent\, smooth\, speedy\, safe\, smart\, and saving time\, energy and the environment with zero carbon emission. I will demonstrate a working maglev hoverboard and vehicle to show you how personal maglev will change the World. We propose building personal maglev for the Northern Metropolis. We can also increase China’s High Speed Rail throughput 10X and decrease cost to passenger 10X using existing rail infrastructures and individualized AI driven maglev carriages to transport passengers end-to-end without fixed train schedule. \nBiography of the Speaker\nJoseph Y Hui matriculated in 1977 and won the IIE scholarship to attend MIT\, where he earned his BS’81\, MS’81\, EE’82\, and PhD’83 degrees\, all in EECS. He has worked at Comsat\, Bell Labs\, Bellcore\, and IBM. He taught at Columbia University (86-89)\, Rutgers University (89-99)\, Chinese University (95-99)\, and ASU (99 – now). He works on his AWESOME inventions for clean Air\, Water\, and Energy as well as fast and safe travel by Space\, Ocean\, Maglev\, and Eviation. He is an IEEE fellow\, NSF Presidential Young Investigator\, and member of US Academy of Inventors with tens of patents granted.\n\nLooking forward to welcoming you at the seminar next Monday. \nBest Regards\,\nVictor O.K. Li & Jacqueline C.K. Lam\nDepartment of Electrical and Electronic Engineering
URL:https://ece.hku.hk/events/20241104-1/
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/2024/10/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241107T130000
DTEND;TZID=Asia/Hong_Kong:20241107T153000
DTSTAMP:20260512T230546
CREATED:20241029T064840Z
LAST-MODIFIED:20250114T033534Z
UID:19352-1730984400-1730993400@ece.hku.hk
SUMMARY:Felix Wu Distinguished Lecture in Power Systems: Change of Paradigm of Power System Operation and Control
DESCRIPTION:Abstract\nSince the inception at the end of the 19th Century\, technical characteristics of power systems have been determined by the physics of synchronous machines (SMs) that convert the primary energy produced by thermal/hydro/nuclear power stations into electricity. However\, the traditional power plants are increasingly being replaced by wind/PV plants and batteries which are connected to the grid asynchronously by means of power electronics (controllable inverters). This means that the power system technical characteristics are increasingly being determined by the control algorithms of inverters rather than the physics of SMs\, and this has profound consequences for power system operation and control. The presentation will discuss those changes and especially the question to what extent inverters can replace synchronous machines. \nSpeaker\nProf. Janusz Bialek\nPrincipal Research Fellow\,\nImperial College London \nBiography of the Speaker\nProfessor Janusz Bialek (FIEEE) is Principal Research Fellow at Imperial College London. Previously\, he held Chair positions at the University of Edinburgh\, Durham University\, Newcastle University and Skolkovo Institute of Science and Technology (Skoltech). Janusz has been PI and Col of multi-million research grants funded by UK research councils and the industry\, and a consultant to the UK government\, European Commission\, and International Energy Agency. He has published widely on integration of renewable generation in power systems\, smart grids\, power system dynamics\, preventing electricity blackouts and power markets. His current main research interests are in addressing the techno-economic challenges posed by increasing penetration of wind/PV/batteries and other devices that are connected to the grid by means of power electronics (programmable inverters)\, rather than synchronous machines\, therefore changing fundamental technical characteristics of the power system. \nOrganiser\nProf. Y. Hou\nDeputy Head\,\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nCo-organiser\nTam Wing Fan Innovation Wing Two \nAll are welcome! \nDirection to Innovation Wing Two: https://innowings.engg.hku.hk/innowing2/visitors
URL:https://ece.hku.hk/events/20241107-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241107T141500
DTEND;TZID=Asia/Hong_Kong:20241107T153000
DTSTAMP:20260512T230546
CREATED:20241016T092204Z
LAST-MODIFIED:20250114T033454Z
UID:19313-1730988900-1730993400@ece.hku.hk
SUMMARY:Collaboration and Evolution of Foundation and Specialized Models
DESCRIPTION:The seminar scheduled for 24 October 2024 (Thur) has been postponed to 7 November 2024 (Thur)\, and time and venue remain unchanged.\n\n \n\nAbstract\nThe prevailing GPU resource monopoly significantly restricts AI development\, confining participation in the pretraining stages of Large Language Models (LLMs) to a few researchers. This project introduces a novel system that integrates hundreds of domain-specific models to construct a foundational model for Artificial General Intelligence (AGI) with minimal computational demand. By employing smaller\, efficient models\, leveraging top-ranked models across diverse domains through a robust ranking algorithm\, and continuously optimizing the evolving foundation model\, this approach seeks to democratize AI development. It shifts from the traditional ‘model over data’ method to a ‘model over models’ strategy\, aiming to reduce reliance on extensive computational resources and promote broader innovation and inclusivity in AI. \nSpeaker\nProf. Hongxia Yang\nProfessor\,\nDepartment of Computing\,\nThe Hong Kong Polytechnic University \nBiography of the Speaker\nProf. Hongxia Yang\, with over 15 years of experience as an AI scientist\, specializes in large-scale machine learning\, data mining\, and deep learning. Throughout her career\, she has developed 10 significant algorithmic systems\, improving the operations of various enterprises. Her research includes pre-trained models\, big data analytics\, and the practical deployment of large language model(LLM) systems in real settings. Prof. Yang has published more than 100 top-tier papers\, amassed around 10K citations with an H-index of 44\, and holds over 50 patents. She has received several awards\, including the 2019 SAIL Award at the World Artificial Intelligence Conference and the 2020 National Science and Technology Progress Award\, China’s top tech accolade. Named one of Forbes China’s Top 50 Women in Tech in 2022 and AI 2000 Most Influential Scholar Award in 2023-2024\, Prof. Yang has held prominent roles at ByteDance US\, Alibaba Group\, Yahoo! Inc\, and IBM T.J. Watson Research Center. She earned her PhD from Duke University and her B.S. from Nankai University.\n\nOrganiser\nProf. N. Wong\nAssociate Professor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241024-1/
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/2024/10/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241108T100000
DTEND;TZID=Asia/Hong_Kong:20241108T110000
DTSTAMP:20260512T230546
CREATED:20241104T080109Z
LAST-MODIFIED:20250114T033258Z
UID:19423-1731060000-1731063600@ece.hku.hk
SUMMARY:The Sound of Music at the Nanoscale – Exploring the Nanoscale World with NEMS Resonators Based on Low Dimensional Nanomaterials
DESCRIPTION:Abstract\nThe advent of low-dimensional nanostructures has enabled a plethora of new devices and systems. Among them\, nanoelectromechanical systems (NEMS) offers the unique capability of coupling the exquisite material properties found in these atomically-defined nanostructures with their mechanical degree of freedom\, opening new opportunities for exploring exotic phenomena at the nanoscale. In particular\, as these devices driven into mechanical vibration—just as musical instruments—they become essentially nanoscale guitars\, drums\, tuning folks\, etc. By studying the infinitesimal mechanical vibrations in these nanoscale “music instruments”\, i.e.\, listening to the “sound of music” at the nanoscale\, researchers can study a number of fundamental physical processes such as absorption\, phase transition\, anisotropy\, and nonlinear processes. \nSpeaker\nProf. Zenghui Wang\nInstitute of Frontier and Fundamental Sciences\,\nUniversity of Electronic Science and Technology of China \nBiography of the Speaker          \nZenghui Wang is currently a professor in the Institute of Frontier and Fundamental Sciences (IFFS) at the University of Electronic Science and Technology of China (UESTC). His research interests and expertise primarily focus on nanoscale devices and systems\, particularly Nanoscale Resonators\, and High-Frequency Resonant Sensors & Transducers. Prior to joining Case\, during 2010-2012\, he worked at Cornell University as a postdoc researcher. He earned a Ph.D. degree (2010) from University of Washington\, Seattle\, for building an ultra-high frequency NEMS resonant sensor with an individual single-walled carbon nanotube\, and using it to detect and study the low-dimensional phase transitions of the atomic layer adsorbed on the nanotube surface. He is an expert on studies of emerging nanoscale devices and sensors based on new materials such as carbon nanotubes\, graphene\, and other low-dimensional nanomaterials\, and has published 20+ research articles in peer-reviewed journals\, including Science\, Nature Physics\, Nature Nanotechnology\, Nature Communications\, Science Advances\, Nano Letters\, ACS Nano\, Physical Review Letters\, 2D Materials\, etc.\,. He has given dozens of invited talks and seminars at peer-reviewed conferences and research universities. He is an Associate Editor for Micro and Nano Letters\, and has been serving on the Technical Program Committees for IEEE IFCS\, IEEE Nano\, and the MEMS/NEMS Technical Group at the American Vacuum Society (AVS) International Symposium and Exhibition. \nOrganiser\nProf. Han Wang\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nCo-organiser:\nIEEE ED/SSC Hong Kong Joint Chapter \nAll are welcome! 
URL:https://ece.hku.hk/events/20241108-2/
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/2024/11/34343.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241108T143000
DTEND;TZID=Asia/Hong_Kong:20241108T152000
DTSTAMP:20260512T230546
CREATED:20241030T040743Z
LAST-MODIFIED:20250220T074437Z
UID:19375-1731076200-1731079200@ece.hku.hk
SUMMARY:Engineering Graduate Recruitment Talk - EMSD
DESCRIPTION:Opportunity Alert! Are you ready to jumpstart your career as an Electrical Engineering Graduate at EMSD? Join us for an engaging session with a dynamic Engineer from EMSD who will share valuable insights on the available positions and the recruitment process.
URL:https://ece.hku.hk/events/20241108-1/
LOCATION:Lecture Theatre CB-A\, G/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Career Talks,Seminar
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END:VEVENT
END:VCALENDAR