BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240906T153000
DTEND;TZID=Asia/Hong_Kong:20240906T163000
DTSTAMP:20260512T125831
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:20260512T125832
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:20260512T125832
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:20260512T125832
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:20260512T125832
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:20260512T125832
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:20260512T125832
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
END:VCALENDAR