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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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BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240912T180000
DTEND;TZID=Asia/Hong_Kong:20240912T190000
DTSTAMP:20260511T120148
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:20240912T170000
DTEND;TZID=Asia/Hong_Kong:20240912T180000
DTSTAMP:20260511T120148
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:20240906T153000
DTEND;TZID=Asia/Hong_Kong:20240906T163000
DTSTAMP:20260511T120148
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:20240829T100000
DTEND;TZID=Asia/Hong_Kong:20240829T150000
DTSTAMP:20260511T120148
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:20240827T160000
DTEND;TZID=Asia/Hong_Kong:20240827T173000
DTSTAMP:20260511T120148
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:20240827T133000
DTEND;TZID=Asia/Hong_Kong:20240827T143000
DTSTAMP:20260511T120148
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:20240826T093000
DTEND;TZID=Asia/Hong_Kong:20240826T124000
DTSTAMP:20260511T120148
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:20240819T163000
DTEND;TZID=Asia/Hong_Kong:20240819T173000
DTSTAMP:20260511T120148
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/08/1280-4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240815T143000
DTEND;TZID=Asia/Hong_Kong:20240815T153000
DTSTAMP:20260511T120148
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/07/1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240813T143000
DTEND;TZID=Asia/Hong_Kong:20240813T153000
DTSTAMP:20260511T120148
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/07/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240808T140000
DTEND;TZID=Asia/Hong_Kong:20240808T170000
DTSTAMP:20260511T120148
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240802T110000
DTEND;TZID=Asia/Hong_Kong:20240802T120000
DTSTAMP:20260511T120148
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:20240718T150000
DTEND;TZID=Asia/Hong_Kong:20240718T160000
DTSTAMP:20260511T120148
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/05/1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240716T140000
DTEND;TZID=Asia/Hong_Kong:20240716T160000
DTSTAMP:20260511T120148
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:20240702T143000
DTEND;TZID=Asia/Hong_Kong:20240702T163000
DTSTAMP:20260511T120148
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:20240628T140000
DTEND;TZID=Asia/Hong_Kong:20240628T160000
DTSTAMP:20260511T120148
CREATED:20240619T032438Z
LAST-MODIFIED:20250114T043256Z
UID:18844-1719583200-1719590400@ece.hku.hk
SUMMARY:A Memristor-based Hybrid Analog-digital Cerebellum (Small Brain) for Mobile Robotics
DESCRIPTION:Abstract\nAlgorithms for mobile robotic systems are generally implemented on purely digital computing platforms. As complementary metal-oxide-semiconductor (CMOS) scaling approaches the end of the road\, the improvement of the throughput of digital processors and computing power efficiency is nearing its end. This issue not only affects the power requirements of large data centers but also limits the performance of mobile robotic systems with perception and actuation. Developing alternative computational platforms may lead to more energy-efficient and responsive mobile robotics. \nInspired by how human and animal brains work\, we report a hybrid analog-digital computing platform enabled by memristors on a mobile inverted pendulum robot. The “cerebellum” (sensor fusion + motion control) of this mobile robotic system is implemented in memristor-based analog circuits\, and the rest of the system is implemented in digital circuits. Such a platform can perform computation in the analog domain and thus removes the speed and energy efficiency bottleneck. The robot using the hybrid analog-digital platform demonstrated dramatic enhancement of speed and energy efficiency over the traditional digital platform. \nSpeaker\nProf. Wei WU\nProfessor\,\nMing Hsieh Department of Electrical and Computer Engineering\,\nUniversity of Southern Californi \nBiography of the Speaker\nProf. Wei WU graduated from Peking University with a BS in Physics in 1996 and received a Ph.D. in Electrical Engineering from Princeton University in 2003. He is a Professor at the Ming Hsieh Department of Electrical and Computer Engineering\, University of Southern California. Before joining USC in 2012\, he had worked as a research associate\, scientist\, and senior scientist at HP labs. His work includes nanoimprint lithography and applications in nano-electronics\, nano-photonics\, plasmonics\, chemical sensing\, and nano-electrochemical cells. He co-authored 126 peer-reviewed scientific journal papers with 12155 citations\, 2 book chapters\, and more than 150 conference presentations\, including 16 keynote and invited presentations. He has 119 granted US patents. Half of them were also filed internationally. His H-index is 503 He is a co-editor of Applied Physics A\, an associate editor of IEEE Transactions on Nanotechnology\, and a regional editor (North America) of Nanomanufacturing and Metrology. He was also an IEEE Nanotechnology Council 2015 and 2016 distinguished lecturer and a recipient of the USC Stevens Center for Innovation Commercialization Award 2020. \nOrganizer\nProf. Han WANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240628-1/
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/2024/06/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240617T143000
DTEND;TZID=Asia/Hong_Kong:20240617T153000
DTSTAMP:20260511T120148
CREATED:20240603T025204Z
LAST-MODIFIED:20250114T043355Z
UID:18754-1718634600-1718638200@ece.hku.hk
SUMMARY:Open-Source Ultra-Low Power Edge AI Systems for a Connected World
DESCRIPTION:Abstract\nEdge computing is becoming an essential concept covering multiple domains nowadays as our world becomes increasingly connected to enable the Internet of Things (IoT) concept. In addition\, the new wave of Artificial Intelligence (AI)\, particularly complex Machine Learning (ML) and Deep Learning (DL) models\, is demanding new computing paradigms beyond traditional general-purpose computing to make IoT a viable reality in a sustainable world. In this seminar\, Prof. Atienza will discuss new approaches to effectively design the next generation of ultra-low power edge AI computing architectures by taking inspiration from how biological computing systems operate. In particular\, these novel bioinspired edge AI architectures include two key concepts. First\, it exploits the idea of accepting computing inexactness and integrating multiple computing acceleration engines and low-power principles to create a new open-source eXtended and Heterogeneous Energy-Efficient hardware Platform (called x-HEEP). Second\, x-HEEP can be instantiated for different application domains of edge AI to operate ensembles of neural networks and federated learning to improve the ML/DL outputs’ robustness at system level\, while minimizing memory and computation resources for the target application. Overall\, x-HEEP instantiations for edge AI applications included in-memory computing or run-time reconfigurable coarse-grained accelerators to minimize energy according to the required precision of the target application. \nSpeaker\nProf. David ATIENZA\nProfessor\,\nHead of the Embedded Systems Laboratory (ESL)\,\nScientific Director of the EcoCloud Sustainable Computing Center\,\nEPFL\, Switzerland \nBiography of the Speaker\nProf. David ATIENZA is a professor of Electrical and Computer Engineering\, and leads both the Embedded Systems Laboratory (ESL) and the new EcoCloud Sustainable Computing Center at EPFL\, Switzerland. He received his M.Sc. and Ph.D. degrees in Computer Science and Engineering from UCM (Spain) and IMEC (Belgium). His research interests include system-level design methodologies for high-performance multi-processor system-on-chip (MPSoC) and low-power Internet-of-Things (IoT) systems\, including edge AI architectures for wearables and IoT systems as well as thermal-aware designs for MPSoCs and many-core servers. He is a co-author of more than 400 papers\, two books\, and has 14 licensed patents in these topics. He served as DATE General Chair and Program Chair\, and is currently Editor-in-Chief of IEEE TCAD and ACM CSUR. Among others\, Dr. Atienza has received the ICCAD 10-Year Retrospective Most Influential Paper Award\, the DAC Under-40 Innovators Award\, the IEEE TC-CPS Mid-Career Award\, and the ACM SIGDA Outstanding Faculty Award. He is a Fellow of IEEE\, a Fellow of ACM\, served as IEEE CEDA President (period 2018-2019) and Chair of the European Design Automation Association (EDAA) in the period 2021-2023. \nOrganizer\nProf. Xianhao CHEN \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240617-1/
LOCATION:Room CPD-3.01\, 3/F\, Run Run Shaw Tower\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240611T100000
DTEND;TZID=Asia/Hong_Kong:20240611T150000
DTSTAMP:20260511T120148
CREATED:20240606T032557Z
LAST-MODIFIED:20250114T043541Z
UID:18779-1718100000-1718118000@ece.hku.hk
SUMMARY:Workshop on Optical and Computational Technologies to Combat Microplastics and Nanoplastics Pollution
DESCRIPTION:Organizer\nImaging Systems Laboratory\, Department of Electrical and Electronic Engineering\, The University of Hong Kong \nPartners \n\nDepartment of Food Science and Nutrition\, The Hong Kong Polytechnic University\nSchool of Energy and Environment\, City University of Hong Kong\nDepartment of Chemistry\, City University of Hong Kong\nDepartment of Science and Environmental Studies (SES)\, The Education University of Hong Kong\nHong Kong Marine Ecological Association\nEnvironmental Protection Department/HKSAR Government\n\nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240611-1/
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:20240606T153000
DTEND;TZID=Asia/Hong_Kong:20240606T163000
DTSTAMP:20260511T120148
CREATED:20240603T015835Z
LAST-MODIFIED:20250114T043621Z
UID:18751-1717687800-1717691400@ece.hku.hk
SUMMARY:Stabilizing Control Interactions of Converter-Based Resources
DESCRIPTION:Abstract\nThe widespread use of power electronic converters in renewable energy resources and flexible ac or dc transmission systems is profoundly changing dynamics and control of power systems. These converter-based resources are significantly different from synchronous generators in respect to their physical properties and control dynamics. The differences pose challenges to the stability and power quality of electricity supply. This lecture will give an overview of instability issues caused by dynamic interactions of converter-based resources\, and then discuss dynamics analysis and control methods for addressing the problems. Emerging trends and challenges with grid integration of converter-based resources will also be covered. \nSpeaker\nProf. Xiongfei WANG\nProfessor\,\nKTH Royal Institute of Technology\,\nStockholm\, Sweden \nBiography of the Speaker\nProf. Xiongfei WANG is currently a full-time Professor at the Department of Electrical Engineering\, KTH Royal Institute of Technology\, Stockholm\, Sweden\, a part-time Professor at Aalborg University\, Aalborg\, Denmark\, and a Visiting Professor at Hitachi Energy Research Center\, Vasteras\, Sweden. His research interests include modeling and control of power electronic converters\, stability and power quality of power-electronic-dominated power systems\, and high-power converters. He is an IEEE Fellow and the Executive Editor (Editor-in-Chief) for the IEEE Transactions on Power Electronics Letters\, as well as an Associate Editor for the IEEE Journal of Emerging and Selected Topics in Power Electronics. He received 10 IEEE Prize Paper Awards\, the 2016 AAU Talent for Future Research Leaders\, the 2018 Richard M. Bass Outstanding Young Power Electronics Engineer Award\, the 2019 IEEE PELS Sustainable Energy Systems Technical Achievement Award\, and the 2022 Isao Takahashi Power Electronics Award. \nOrganizer\nProf. Ron S.Y. HUI & Prof. S.C. TAN \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240606-1/
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:20240603T110000
DTEND;TZID=Asia/Hong_Kong:20240603T120000
DTSTAMP:20260511T120148
CREATED:20240529T013654Z
LAST-MODIFIED:20250114T043655Z
UID:18654-1717412400-1717416000@ece.hku.hk
SUMMARY:Extreme Spatial Multiplexing: A Fluid Antenna System Approach
DESCRIPTION:Abstract\nFluid antenna system (FAS) represents shape-flexible position-flexible antenna technologies for wireless communications and has recently emerged as a new degree of freedom for wireless communication design and optimization. The unique feature of FAS also changes the way in which interference is mitigated. In this talk\, we will first take a closer look at massive multiuser MIMO (multiple-input multiple-output) and discuss why massive MIMO alone cannot be a feasible solution for extreme spatial multiplexing of an enormous number of users. We then present how FAS at each user can reduce the burden of the base station and enable massive MIMO to handle a huge number of users with little channel state information (CSI) at the base station. The results reveal that 1000 of users can be served on the same physical data channel if massive MIMO combines with FAS. The talk will be concluded by sharing some recent updates on the implementation of FAS. \nSpeaker\nProf. Kai-Kit WONG\nProfessor of Wireless Communications\,\nUniversity College London \nBiography of the Speaker\nProf. Kai-Kit WONG received the BEng\, the MPhil\, and the PhD degrees\, all in Electrical and Electronic Engineering\, from the Hong Kong University of Science and Technology\, Hong Kong\, in 1996\, 1998\, and 2001\, respectively. He is Chair Professor of Wireless Communications at the Department of Electronic and Electrical Engineering\, University College London. His current research centers around 6G mobile communications. He is one of the early researchers who proposed multiuser MIMO. His first paper on multiuser MIMO was published in WCNC 2000 which appeared to be the first ever research paper on this topic. He is Fellow of IEEE and IET. He served as the Editor-in-Chief for IEEE Wireless Communications Letters between 2020 and 2023. \nOrganizer\nProf. Y.C. WU \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240603-1/
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/2024/05/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240531T150000
DTEND;TZID=Asia/Hong_Kong:20240531T160000
DTSTAMP:20260511T120148
CREATED:20240521T090117Z
LAST-MODIFIED:20250114T043757Z
UID:18572-1717167600-1717171200@ece.hku.hk
SUMMARY:Integrated Nonlinear Multimode Photonics for Information Processing and Computation
DESCRIPTION:Meeting ID:937 8072 8049\n \nAbstract\nPhotonics technology has become indispensable in communication\, imaging\, sensing\, metrology\, and more recently\, in signal processing and computation. These advancements are made possible through optical systems that leverage the control of multiple degrees of freedom of light\, e.g.\, in space/momentum\, time/frequency\, angle/orbital angular momentum and polarization. Recently\, the integration of table-top optical systems into photonic integrated circuits has not only miniaturized the form factor but also enhanced light-matter interaction. This offers enormous opportunities to explore fundamental nonlinear optical physics and unlock new functionalities in integrated photonics. \nThe first part of my talk focuses on the fundamental aspects of integrated nonlinear photonics. I will show how we optically induce the second-order ((2)) nonlinearity in silicon nitride photonics\, along with techniques to achieve quasi-phase-matching for the second-harmonic generation process. Moreover\, I will discuss the generalization of our approach to other (2) nonlinear processes\, such as sum-frequency generation\, backward second-harmonic generation\, and combined (2) and Kerr nonlinear effects for different participating spatial modes. \nThe second part of my talk is on the applications of integrated nonlinear multimode photonics for information processing and computing. I will discuss the use of integrated Kerr microcombs for microwave photonics\, showcasing the reconfigurable microwave filtering based on inherently rich soliton states from silicon nitride microresonators. I will also show how we combine second-harmonic generation and multiple light scattering in disordered lithium niobite (2) nanocrystals for various machine learning applications. Additionally\, I will introduce a new reservoir computing paradigm harnessing the massive spatial parallelism of light. \nSpeaker\nDr. Jianqi HU\nPostdoc Researcher\,\nÉcole Polytechnique Fédérale de Lausanne (EPFL)\, Switzerland \nBiography of the Speaker\nDr. Jianqi HU is currently a postdoc researcher in Prof. Tobias Kippenberg’s group at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. He received the B.E. from the University of Electronic Science and Technology of China in 2016\, and the Ph.D. in photonics from EPFL in 2021\, advised by Prof. Camille Brès. After completing the Ph.D.\, he continued his research as a postdoc at EPFL from 2021 to 2022\, and then he was an SNF postdoc fellow at Ecole Normale Supérieure\, France\, working with Prof. Sylvain Gigan from 2022 to 2023. His research interests include integrated nonlinear photonics\, frequency microcombs\, structured light\, and photonic computing. \nOrganizer\nProf. Kaibin HUANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240531-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/05/1280-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240531T140000
DTEND;TZID=Asia/Hong_Kong:20240531T170000
DTSTAMP:20260511T120148
CREATED:20240521T083633Z
LAST-MODIFIED:20250114T043839Z
UID:18570-1717164000-1717174800@ece.hku.hk
SUMMARY:Real-time Twisting on a Chip
DESCRIPTION:Meeting ID: 939 1846 8563 \nAbstract\nOptical nanostructures and two-dimensional materials (2DM) have optical properties that are widely tunable via several approaches\, such as heating\, electrostatic gating\, and interfacial engineering such as twisting. Being able to tailor the interfacial properties in a similar real-time manner represents the next leap in our ability to modulate the underlying physics and build exotic photonics devices. We demonstrate the first on-chip platform designed for optical nanostructures and 2D materials with in situ tunable interfacial properties\, utilizing a microelectromechanical system (MEMS). Each of these compact\, cost-effective\, and versatile devices is a standalone micromachine that allows voltage-controlled approaching\, twisting\, and pressurizing of two sheets of materials with high accuracy. \nSpeaker\nDr. Haoning TANG\nHarvard Quantum Initiative Postdoctoral Fellow\,\nJohn A. Paulson School of Engineering Applied Science\,\nHarvard University \nBiography of the Speaker\nDr. Haoning TANG is the Harvard Quantum Initiative Postdoctoral Fellow at John A. Paulson School of Engineering Applied Science at Harvard University. She obtained bachelor’s degree at The Hong Kong University of Science and Technology\, and Ph.D. at Harvard. Her primary research interest is in the nonlinear and quantum optical properties of metamaterials and low-dimensional materials\, and the engineering of these properties through advanced nanotechnologies including micro-electricalmechanical systems (MEMS). \nOrganizer\nProf. Kaibin HUANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240531-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240531T110000
DTEND;TZID=Asia/Hong_Kong:20240531T120000
DTSTAMP:20260511T120148
CREATED:20240506T014649Z
LAST-MODIFIED:20250114T043911Z
UID:18494-1717153200-1717156800@ece.hku.hk
SUMMARY:Localization of a Non-Cooperative Object Irrespective of the Range to Receivers
DESCRIPTION:Abstract\nPosition-related services and applications appear everywhere in our daily lives and precise positioning is indispensable.  For non-cooperative localization of an object by time difference of arrival (TDOA) such as in an integrated sensing and communications (ISAC) environment\, it requires the knowledge that the object is near to or far from the receivers.  If the object is close\, a near-field model is used to determine the unique coordinates of the object.  If it is distant\, a far-field model needs to be applied instead to obtain its direction.  Such knowledge\, however\, is seldom available in practice. This talk introduces a novel representation of the object position\, called the modified polar representation (MPR)\, which can eliminate the necessity of such knowledge.  MPR leads to a unified model that naturally yields the unique coordinates of the object if it is near and the direction if it is far.  Both the theory by the Cramer-Rao Lower Bound (CRLB) and the Hybrid Bhattacharyya-Barankin (HBB) Bound\, and the simulations by the Maximum Likelihood Estimator (MLE) support the effectiveness of MPR for TDOA localization. \nSpeaker:\nDr. Dominic K. C. HO\nProfessor\, University of Missouri\, USA \nBiography of the Speaker\nDr. Dominic K. C. HO was born in Hong Kong.  He received the BSc degree with First Class Honors and the PhD degree in Electronic Engineering\, both from the Chinese University of Hong Kong.  He was a research associate at the Royal Military College of Canada\, a member of scientific staff at the Bell-Northern Research\, and a faculty at the University of Saskatchewan\, Canada.  Since 1997\, he has been with the University of Missouri\, where he is a professor in the Electrical Engineering and Computer Science Department.  His research interests are in sensor array processing\, source localization\, subsurface object detection\, and wireless communications.  He has been active in the International Telecommunications Union (ITU) standard developments between 1995 and 2012.  He was the rapporteur of one recommendation and the editor of several others.  He was an Associate Editor of the IEEE Transactions of Signal Processing (2003-2006\, 2009-2013) and the IEEE Signal Processing Letters (2004-2008).  He served as the Chair of the IEEE Sensor Array Multichannel (SAM) Technical Committee from 2013 to 2014 and the Past Chair in 2015.  He was Technical Co-Chair of the IEEE International Conference on Acoustics\, Speech and Signal Processing (ICASSP) held in Shanghai\, in 2016.  He is an inventor of 22 patents in the United States\, Canada\, Europe and Asia on geolocation and signal processing for wireless communications.  He is a fellow of the IEEE. \nOrganizer\nProf. Y.C. WU \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240531-1/
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:20240524T150000
DTEND;TZID=Asia/Hong_Kong:20240524T163000
DTSTAMP:20260511T120148
CREATED:20240517T043054Z
LAST-MODIFIED:20250114T044042Z
UID:18564-1716562800-1716568200@ece.hku.hk
SUMMARY:EEE MasterClass (EEE 大師講堂) – Research Advances in Energy Storage Systems
DESCRIPTION:Abstract\nAs the penetration of variable renewable generation increases in power systems\, issues such as grid stiffness\, larger frequency deviations\, and grid stability are becoming more relevant. In this context\, Energy Storage Systems (ESSs) are proving to be effective in facilitating the integration of renewable resources\, and thus are being widely deployed in both microgrids and large power grids.  This talk will review several energy storage technologies\, particularly Compress Air Energy Storage (CAES)\, flywheels\, batteries\, and thermal energy systems\, and their modelling and applications for power systems.  An overview will be provided of the work being carried out by Prof. Canizares’ group at the University of Waterloo on all these energy storage systems\, focusing on novel models and applications in microgrids and distribution and transmission grids for system stability and control\, in particular for frequency regulation. \nSpeaker\nProf. Claudio Cañizares\nProfessor and Hydro One Endowed Chair\,\nElectrical and Computer Engineering (ECE) Department\,\nUniversity of Waterloo \nBiography of the Speaker\nProf. Claudio Cañizares is a University Professor and Hydro One Endowed Chair in the electrical and computer engineering (ECE) department at the University of Waterloo\, where he has held various academic and administrative positions since 1993. In 2021\, he was appointed the Executive Director of the Waterloo Institute for Sustainable Energy (WISE). He received an electrical engineering degree from the Escuela Politécnica Nacional (EPN) in Quito\, Ecuador in 1984\, where he held different academic and administrative positions between 1983 and 1993\, and his MSc (1988) and PhD (1991) degrees in electrical engineering from the University of Wisconsin-Madison\, in the USA. His research activities focus on the study of stability\, control\, optimization\, modelling\, simulation\, and computational issues in bulk power systems\, microgrids\, and energy systems in the context of competitive energy markets and smart grids. Professor Cañizares has collaborated with multiple industry and university researchers in Canada and abroad and supervised/co-supervised nearly 180 research fellows and students. He has authored/co-authored more than 370 publications with over 29\,000 citations and a 77 H index in Google Scholar and has been invited to deliver over 225 keynote speeches\, seminars\, tutorials\, and presentations at numerous institutions and conferences worldwide. He is the current Editor-In-Chief of the IEEE Transactions on Smart Grid\, a Fellow of the Institute of Electrical & Electronic Engineering (IEEE)\, a Fellow of the Royal Society of Canada\, and a Fellow of the Canadian Academy of Engineering. He is the recipient of the 2017 IEEE Power & Energy Society (PES) Outstanding Power Engineering Educator Award\, the 2016 IEEE Canada Electric Power Medal\, and multiple IEEE PES Technical Council and Committee awards and recognitions\, holding leadership positions in several IEEE-PES Committees\, Working Groups\, and Task Forces. In 2021 and 2022\, he received the Award for Excellence in Graduate Supervision from the University of Waterloo. \nOrganizer: Prof. Y. WANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240524-1/
LOCATION:Room CPD-3.01\, 3/F\, Run Run Shaw Tower\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240523T143000
DTEND;TZID=Asia/Hong_Kong:20240523T180000
DTSTAMP:20260511T120148
CREATED:20240513T012814Z
LAST-MODIFIED:20250114T062539Z
UID:18505-1716474600-1716487200@ece.hku.hk
SUMMARY:Workshop on Frontiers of Legged Robotics 2024
DESCRIPTION:The Faculty of Engineering\, The University of Hong Kong is organizing the “Workshop on Frontiers of Legged Robotics 2024”. The workshop will be held on May 23\, 2024 (Thursday) from 2:30 pm to 6:00 pm at Lecture Theatre A\, G/F\, Chow Yei Ching Building\, HKU. \nKeynote Speaker for William Mong Distinguished Lecture:\n– Prof Abderrahmane Kheddar\, The French National Centre for Scientific Research (CNRS) \nSpeakers*: \n– Prof Hua Chen\, Zhejiang University and LimX Dynamics – Dr Zhicheng He\, Leju (Shenzhen) Robotics Co.\, Ltd – Dr Baiyu Pan\, UBTech Co.\, Ltd – Prof Peng Lu\, Department of Mechanical Engineering\, The University of Hong Kong – Prof Jiangcheng Chen\, Department of Industrial and Manufacturing Systems Engineering\, The University of Hong Kong \nRegister now: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=93930 \nFor more details\, please visit: https://sites.google.com/view/workshop-legged-robotics \n*Speakers are in alphabetical order by surname.
URL:https://ece.hku.hk/events/20240523-1/
LOCATION:Lecture Theatre CB-A\, G/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:20240522T100000
DTEND;TZID=Asia/Hong_Kong:20240522T110000
DTSTAMP:20260511T120148
CREATED:20240520T042136Z
LAST-MODIFIED:20250114T062646Z
UID:18567-1716372000-1716375600@ece.hku.hk
SUMMARY:Optimization of Phase Change Memory for In-Memory Computing and Packaging for Small Computers
DESCRIPTION:Abstract\nThe need to shuttle data between processing and memory units has been a key performance bottleneck for conventional hardware implementations of artificial neural networks. Analog in-memory computing (AIMC) emerges as a promising solution to this challenge by directly performing computations within non-volatile memory devices\, such as phase change memory (PCM). However\, the utilization of PCMs for analog computing introduces nonidealities\, including resistance drift\, read noise\, limited memory window\, and various device failures. I will discuss our work on optimizing PCM devices to alleviate these nonidealities and mitigate their impact on AIMC. Additionally\, I will talk about the effort to packaging such computer chips with photovoltaic power conversion devices and optical communication devices for ultra-small form factor edge computing applications. \nSpeaker\nProf. Ning LI\nAssociate professor\,\nDepartment and the Material Research Institute\,\nPenn State University \nBiography of the Speaker\nProf. Ning LI obtained his B.S. and M.S. from Tsinghua University and his Ph.D. from the University of Texas at Austin\, TX. He was a Research Staff Member at IBM T. J. Watson Research Center\, Yorktown Heights\, NY\, from 2010 to 2022. His research work is related to memory devices and their applications in neuromorphic computing\, flexible and new form factor devices and systems\, optoelectronic devices for interconnects and communications\, heterogeneous integration\, organic electronics\, etc. He published ~100 research papers in scientific journals and peer reviewed conferences\, including Nature Photonics\, Nature Communications\, Advanced Materials\, IEDM\, VLSI\, OFC\, etc. He was awarded more than 250 US patents\, many IBM High Value Patent Awards\, IBM Invention Achievement Awards\, and Master Inventor Awards. His work has been featured on Nature Research Highlight\, Semiconductor Today\, etc.  He joined the Electrical Engineering Department and the Material Research Institute at Penn State University as an associate professor in 2024. \nOrganizer: Prof. Han WANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240522-1/
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:20240521T160000
DTEND;TZID=Asia/Hong_Kong:20240521T170000
DTSTAMP:20260511T120148
CREATED:20240514T041838Z
LAST-MODIFIED:20250114T062744Z
UID:18510-1716307200-1716310800@ece.hku.hk
SUMMARY:Energy Intelligent Computing Devices Based on 2D Materials
DESCRIPTION:Abstract\nDespite the long and crucial role of traditional solid-state physics for current silicon-based technologies\, next-generation neuromorphic\, non-volatile memory\, and energy devices that are key components in the era of the Internet of Things (IoT) require novel working principles with quantum physics emerging in low-dimensional materials. The main research direction for future devices is to realize ‘ultralow device operation energy’\, ‘ultrahigh device operation speed’\, and ‘large-scale device integration (up to 10)’\, which calls for exploring diverse quantum phenomena in low dimensional device components. In this talk\, I will present some of our recent efforts to establish new device physics for energy-intelligent devices\, which could be a milestone for promising future devices. In particular\, dynamic convolution neural network\, phase transition and other intriguing quantum physics in two-dimensional (2D) materials will be discussed along with logic device\, neuromorphic computing\, and energy device applications. \nSpeaker\nProf. Heejun YANG\nQuantum Energy Device (QED) Lab\nDepartment of Physics\,\nKorea Advanced Institute of Science and Technology (KAIST) \nBiography of the Speaker\nProf. Heejun YANG received B.S. in physics from KAIST in 2003 and a joint Ph.D. in physics from Seoul National University (Korea) and University Paris-Sud XI (France) in 2010. He was awarded the IUPAP Young Scientist Prize (YSP) in Semiconductor Physics 2018 for his outstanding contribution to novel interface devices based on structural\, electronic\, and quantum-state control with van der Waals layered materials. His Ph.D. subject was on graphene by scanning tunnelling microscopy and spectroscopy (STM/STS)\, and he experienced industrial device studies in Samsung Electronics from 2010 to 2012. Then\, he conducted his research on graphene spintronics in Albert Fert’s (2007 Novel laureate) group in CNRS/Thales as a postdoc from 2012 to 2014. Based on his research background on molecular and nanometer-scale studies (in Seoul and Paris) and electric and spintronic device physics (in Samsung and CNRS/Thales)\, he moved to Sungkyunkwan University (2014~2021) and KAIST (2021~) and started original device studies with phase engineering of low-dimensional materials. He has proposed novel and conceptual interface devices such as ‘Graphene Barristor’ and ‘Ohmic homojunction contact between semiconductor channel and metal electrodes’. In 2022\, he gave an invited talk at the IUPAP centenary symposium as a representative YSP winner. \nOrganizer\nProf. C.L. TAN \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240521-1/
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:20240520T140000
DTEND;TZID=Asia/Hong_Kong:20240520T150000
DTSTAMP:20260511T120148
CREATED:20240514T081548Z
LAST-MODIFIED:20250114T062839Z
UID:18512-1716213600-1716217200@ece.hku.hk
SUMMARY:EEE MasterClass (EEE 大師講堂) - Mixed-Dimensional Heterostructures for Electronic and Energy Technologies
DESCRIPTION:Abstract\nLayered two-dimensional (2D) materials interact primarily via van der Waals bonding\, which has created new opportunities for heterostructures that are not constrained by epitaxial lattice matching requirements. However\, since any passivated\, dangling bond-free surface interacts with another via non-covalent forces\, van der Waals heterostructures are not limited to 2D materials alone. In particular\, 2D materials can be integrated with a diverse range of other materials\, including those of different dimensionality\, to form mixed-dimensional van der Waals heterostructures. Furthermore\, chemical functionalization provides additional opportunities for tailoring the properties of 2D materials and the degree of coupling across heterointerfaces. In this manner\, a variety of optoelectronic and energy applications can be enhanced including photodetectors\, optical emitters\, supercapacitors\, and batteries. Furthermore\, mixed-dimensional heterostructures enable unprecedented electronic device function to be realized including neuromorphic memtransistors\, mixed-kernel heterojunction transistors\, and moiré synaptic transistors. In addition to technological implications for electronic and energy technologies\, this talk will explore several fundamental issues including band alignment\, doping\, trap states\, and charge/energy transfer across mixed-dimensional heterointerfaces. \nSpeaker\nProf. Mark C. HERSAM\nWalter P. Murphy Professor\,\nMaterials Science and Engineering\,\nNorthwestern University \nBiography of the Speaker\nProf. Mark C. HERSAM is the Walter P. Murphy Professor of Materials Science and Engineering\, Director of the Materials Research Center\, and Chair of the Materials Science and Engineering Department at Northwestern University. He also holds faculty appointments in the Departments of Chemistry\, Applied Physics\, Medicine\, and Electrical Engineering. He earned a B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign (UIUC) in 1996\, M.Phil. in Physics from the University of Cambridge (UK) in 1997\, and Ph.D. in Electrical Engineering from UIUC in 2000. His research interests include nanomaterials\, additive manufacturing\, nanoelectronics\, scanning probe microscopy\, renewable energy\, and quantum information science. Dr. Hersam has received several honors including the Presidential Early Career Award for Scientists and Engineers\, TMS Robert Lansing Hardy Award\, MRS Mid-Career Researcher Award\, AVS Medard Welch Award\, U.S. Science Envoy\, MacArthur Fellowship\, and eight Teacher of the Year Awards. Dr. Hersam has been repeatedly named a Clarivate Analytics Highly Cited Researcher with over 700 peer-reviewed publications that have been cited more than 70\,000 times with an h-index of 128. An elected member of the American Academy of Arts and Sciences\, National Academy of Engineering\, and National Academy of Inventors with over 170 issued and pending patents\, Dr. Hersam has founded two companies\, NanoIntegris and Volexion\, which are suppliers of nanoelectronic and battery materials\, respectively. Dr. Hersam is a Fellow of MRS\, ACS\, AVS\, APS\, AAAS\, SPIE\, and IEEE\, and also serves as an Executive Editor of ACS Nano. \nOrganizer\nProf. Han WANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240520-1/
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:20240517T150000
DTEND;TZID=Asia/Hong_Kong:20240517T160000
DTSTAMP:20260511T120148
CREATED:20240418T012121Z
LAST-MODIFIED:20250114T062952Z
UID:18278-1715958000-1715961600@ece.hku.hk
SUMMARY:RPG Seminar – A Multi-Agent and Self-Adaptive Framework for Portfolio Management in Computational Finance
DESCRIPTION:Abstract:\nFinancial portfolio management (PM) is a very important topic in computational finance\, with its primary objective of achieving higher returns while reducing investment risks through dynamically allocating capital to different assets in a portfolio. Recently\, deep or reinforcement learning(DL/RL)-based PM approaches have been applied to capture the valuable opportunities from the underlying financial market yet the trade-off between returns and risks is definitely a great challenge. Accordingly\, this talk will consider the newly proposed Multi-Agent and Self-Adaptive (MASA) framework to dynamically balance the long-term portfolio profits and potential short-term risks. Through the close cooperation between the RL-based agent and solver-based agent\, the MASA framework continuously learns the profitable patterns of stock data from the concerned financial market\, monitors the current trends of financial markets\, and carefully evaluates the future risk exposures such that the newly balanced investment portfolios can adapt to the highly turbulent trading environments. Furthermore\, due to the high flexibility of the MASA framework\, its agent can be adaptively adjusted to satisfy a diversity of trading constraints and investor preferences. The reported results demonstrate the great potential of the proposed framework on PM tasks in various financial markets. Beyond the DL/RL-based PM approaches\, this talk will also introduce two novel meta-heuristic algorithms for solving continuous optimization problems with complex natures. The case studies show the significant advantages of the proposed algorithms on optimizing large-scale financial portfolios in such ever-changing financial markets. Most importantly\, the proposed frameworks shed light on many possible applications in computation finance like pair trading\, orderbook trading\, multi-factor model optimization\, etc. \nSpeaker: Mr. Zhenglong LI\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker:\nMr. Zhenglong LI received the B.Eng. degree in Electronic Information Science and Technology and B.Econ. degree in Financial Engineering both from Jinan University\, and the M.S. degree in Electrical and Electronics Engineering from the University of Hong Kong. He is currently pursuing the Ph.D degree with the Department of Electrical and Electronic Engineering at the University of Hong Kong\, under the supervision of Dr. Vincent Tam and Prof. Lawrence Yeung. His research interest lies in computational finance including portfolio optimization\, risk management\, pair trading\, and financial sentiment analysis. \nOrganizer:\nDr. Vincent TAM
URL:https://ece.hku.hk/events/20240517-1/
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:20240517T140000
DTEND;TZID=Asia/Hong_Kong:20240517T150000
DTSTAMP:20260511T120148
CREATED:20240510T013911Z
LAST-MODIFIED:20250114T063038Z
UID:18503-1715954400-1715958000@ece.hku.hk
SUMMARY:RPG Seminar – Trajectory Inference of T-Cell Activation from Label-free Single-cell Biophysical Morphologies with StaVia
DESCRIPTION:Abstract:\nBlood analysis is an indispensable clinical tool for human health and diseases. Specifically\, the overarching challenge in characterization of blood\, notably immune cells\, is to identify the cellular phenotypes at the single-cell precision to dissect the complex functional roles of different cell types/states. Strategies for phenotyping immune cells enable biological discovery and shed light on the immune system’s intricate mechanisms and the enormous heterogeneity of hematopoiesis. They are instrumental in the quality assessment and control of emerging immunotherapy methods. \nOften overlooked are the biophysical properties of the immune cell\, which simultaneously impact and are affected by its molecular signature. Defining biophysical markers\, which are label-free in nature\, could overcome the issues of scale and cost of analyzing numerous single cells. However\, deep biophysical profiling of single-cell requires both high-throughput and high-content that are not achievable or affordable with current technologies. Here we present a single-cell image-based trajectory inference strategy for tracking human T-cell activation based on the label-free biophysical morphology of T-cells. \nWe used our recently developed ultra-large-scale label-free imaging technology (up to 100\,000 cells/sec)\, multi-ATOM\, to extract high-resolution quantitative morphological and biophysical features (e.g. cell size\, shape\, dry mass density\, subcellular distributions) from the single-cell images. This is integrated with our unsupervised trajectory inference method StaVia to parameterize the morphology of each T-cell into a high-dimensional feature profile (> 90 dimensions) in order to uncover cellular dynamics of the underlying T-cell activation. We demonstrate that the integration of StaVia with multi-ATOM-derived single cells biophysical profiles reveal not only the overall T-cell activation process but also the subtle distinct morphological changes of CD4+ and CD8+ T-cells activations. We anticipate this work could spearhead further research in employing single-cell biophysical phenotypes as effective surrogate biomarkers of immune cell profiling in health and disease. Ultimately\, it could potentially inspire new cost-effective clinical diagnostic strategies in monitoring various immune-related disease/treatment progression. \nSpeaker\nMr. Kobashi MINATO\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Kobashi MINATO received his BEng degree in biological Engineering at The Hong Kong University of Science and Technology in 2022. He is currently a MPhil student supervised by Prof. Kevin K.M. Tsia in the department of electrical and electronic engineering. His research interest resides in the field of biomedical engineering and focusing on the analysis of biological data. \nOrganizer\nProf. Kevin K.M. TSIA\n \nAll are welcome.
URL:https://ece.hku.hk/events/20240517-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
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END:VEVENT
END:VCALENDAR