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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:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231129
DTEND;VALUE=DATE:20231130
DTSTAMP:20260512T013716
CREATED:20231123T061424Z
LAST-MODIFIED:20250114T080103Z
UID:17853-1701216000-1701302399@ece.hku.hk
SUMMARY:Web3.0 and Digital Economy
DESCRIPTION:As the world moves towards the new era of post-covid and new world order brought about by innovative industries and digital economy\, Web3.0 serves as the social fabric in everybody’s daily life. \nBiography of the speaker:\n\nProf. James Lei is Secretary General of Institute of Web3.0 Hong Kong\, founder of Meta Metopia\, New Paramount Technology\, and Hunan-Hong Kong Blockchain Institute. He is the Adjunct Professor at HKUST. Before founding Web3.0HK\, he has led Hong Kong Applied Science and Technology Research Institute (ASTRI) for over 18 years in AI\, Big Data\, and intelligent systems. He has worked at Bell Labs\, Lucent Technologies\, Panasonic Research\, and Clicksafe in the U.S. He has over 120 publications and patent applications. He obtained his bachelor’s degree from Beijing University and PhD from Brown University. Prof. Lei actively contributes his experience\, knowledge\, and passion to the technical and innovative entrepreneur world of Web3.0 and digital economy. \nAll are welcome.
URL:https://ece.hku.hk/events/web3-0-and-digital-economy/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231122
DTEND;VALUE=DATE:20231123
DTSTAMP:20260512T013716
CREATED:20231121T063620Z
LAST-MODIFIED:20250114T080539Z
UID:17851-1700611200-1700697599@ece.hku.hk
SUMMARY:RPG Seminar – A Novel Algorithm For TDOA-BASED SOURCE LOCALIZATION with None Line of Sight Error using Robust Least M-estimation
DESCRIPTION:This work presents a novel algorithm for source localization based on Time Difference of Arrival (TDoA) measurements. We proposed a robust variant of the classic least-squares solution that improves the precision and robustness of the localization technique in the presence of heavily noisy measurements\, including those with non-line-of-sight (NLOS) errors\, which could be caused by reverb and reflections. Specifically\, we employ a robust regression algorithm\, namely the Robust Linear Model (RLM)\, to estimate the TDoA values that are used in the least-squares optimization problem. Our proposed RLM-based algorithm is evaluated using both simulations with NLOS error and real-recorded data sets\, and compared with existing methods including conventional least squares(LS) and Regularized Least Squares (RLS) . Simulation results show that our proposed algorithm outperforms existing methods in terms of accuracy and robustness\, especially in highly noisy environments with NLOS error. The use of real-recorded data further demonstrates the effectiveness and practicality of our proposed algorithm. The proposed algorithm has potential applications in acoustic tracking\, speech recognition\, and surveillance\, among others. \nBiography of the speaker:\n\nXiling Sheng completed his Bachelor’s at Commucation University of\nChina\, specializing in Sound Recording Engineering and his MPhil in Technology Leadership and Entreprenurship at HKUST. Currently\, Xiling is a Ph.D. student in the Departmental of Electrical and Electronic Engineering at the University of Hong Kong under the supervision of Prof. Shing Chow Chan. His primary research interest lies in the acoustics\, array signal processing for applications such as tracking\, source seperation and MIMO distribution systems. \nAll are welcome.
URL:https://ece.hku.hk/events/rpg-seminar-a-novel-algorithm-for-tdoa-based-source-localization-with-none-line-of-sight-error-using-robust-least-m-estimation/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231122
DTEND;VALUE=DATE:20231123
DTSTAMP:20260512T013716
CREATED:20231121T062836Z
LAST-MODIFIED:20250114T080513Z
UID:17850-1700611200-1700697599@ece.hku.hk
SUMMARY:RPG Seminar – Toward Domain Generalization in Stereo Matching Networks
DESCRIPTION:Estimating depth from images is a fundamental problem in many computer vision applications such as autonomous driving and robot navigation. Stereo matching is a solution to this task\, which finds the matching correspondences between stereo image pairs and recovers the depth through triangulation. However\, despite recent stereo matching networks achieving impressive performance given sufficient training data\, they suffer from domain shifts and generalize poorly to unseen domains. In this seminar\, we will review representative works and show some possible improvement directions on domain-generalized stereo matching network. \nZoom Link :\nhttps://hku.zoom.us/j/99189328899?pwd=U291c092a2FrWG03VnB2dGduSkNqUT09 \nBiography of the speaker:\n\nZezheng Zhang received his Bachelor’s from Nankai University in 2020. He is currently pursuing his Ph.D. degree in the Department of Electrical and Electronic Engineering of HKU\, under the supervision of Prof. Kenneth K. Y. Wong. His research interest mainly focus on computer vision and computational imaging. \nAll are welcome.
URL:https://ece.hku.hk/events/rpg-seminar-toward-domain-generalization-in-stereo-matching-networks/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231120
DTEND;VALUE=DATE:20231121
DTSTAMP:20260512T013716
CREATED:20231102T032053Z
LAST-MODIFIED:20250114T080326Z
UID:17779-1700438400-1700524799@ece.hku.hk
SUMMARY:Near-Field Communications: What Will Be Different?
DESCRIPTION:In this talk\, the design dilemma of “What will be different between near-field communications (NFC) and far-field communications (FFC)?” is discussed from four perspectives. (1) From the channel modelling perspective\, the differences between near-field and far-field channel models are discussed. (2) From the performance analysis perspective\, analytical results for characterizing the degrees of freedom and the power scaling laws in the near-field region are provided. (3) From the beamforming perspective\, the features of far-field beamsteering and near-field beamfocusing are compared. A couple of new beamforming structures for NFC are also introduced. (4) From the application perspective\, several new designs are discussed in the context of promising next-generation technologies in NFC. Finally\, research opportunities and problem are discussed. \nBiography of the speaker: \nYuanwei Liu is an Associate Professor with the School of Electronic Engineering and Computer Science\, Queen Mary University of London. His research interests include next generation multiple access\, integrated sensing and communications reconfigurable intelligent surface\, and near-field communications. His research attract over 20\,000 Google Scholar citations. He is listed as one of 35 Innovators Under 35 China in 2022 by MIT Technology Review and a Web of Science Highly Cited Researcher since 2021. He serves as an IEEE Communication Society Distinguished Lecturer\, an IEEE Vehicular Technology Society Distinguished Lecturer\, the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative\, the rapporteur of ETSI Industry Specification Group on Reconfigurable Intelligent Surfaces\, and the UK representative for the URSI Commission C on Radio communication Systems and Signal Processing. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 IEEE Signal Processing and Computing for Communications (SPCC) Technical Committee Early Achievement Award\, IEEE Communication Theory Technical Committee (CTTC) 2021 Early Achievement Award. He received IEEE ComSoc Outstanding Nominee for Best Young Professionals Award in 2021. He is the co-recipient of the Best Student Paper Award in IEEE VTC2022-Fall\, the Best Paper Award in ISWCS 2022\, the 2022 IEEE SPCC-TC Best Paper Award and the IEEE ICCT 2023 Best Paper Award. He serves as the Co-Editor-in-Chief of IEEE ComSoc TC Newsletter\, an Area Editor of IEEE Communications Letters\, an Editor of IEEE Communications Surveys & Tutorials\, IEEE Transactions on Wireless Communications\, IEEE Transactions on Vehicular Technology\, and IEEE Transactions on Network Science and Engineering. He serves as the (leading) Guest Editors for Proceedings of the IEEE/IEEE JSAC/JSTSP/Network/TGCN.
URL:https://ece.hku.hk/events/near-field-communications-what-will-be-different/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231114
DTEND;VALUE=DATE:20231115
DTSTAMP:20260512T013716
CREATED:20231102T074244Z
LAST-MODIFIED:20250114T080350Z
UID:17803-1699920000-1700006399@ece.hku.hk
SUMMARY:On-chip Spectrum Detection and Sub-diffraction Optical Microscopy
DESCRIPTION:Spectral analysis is one of the most widely adopted techniques in various fields of scientific research\, industrial production\, and medical diagnostics. Yet\, traditional spectrum detection techniques often require the setup of spectroscopic components\, photodetector arrays\, and mechanical positioning parts and so on. The relatively large size of those instrumentations may limit their applicability for small-scale or in-situ spectral sensing. In this study\, by leveraging the continuous tunability of the optical bandgap in halide perovskites\, along with the innovation in device architecture/fabrication processes/detection principles\, the authors succeeded to develop single device-based color detectors and integrated flexible spectral sensors. This finding presents promising applications in artificial intelligence vision systems as well as the intelligent sensors in the Internet of Things. \nThough the advanced integrated circuit (IC) fabrication processes are able to fabricate nanoscale devices\, there still remain numerous puzzles in the other domains such as life science\, material science to be explored at nanoscale. In the aim of extending the applicability of advanced IC manufacturing techniques to the other domains\, the authors have developed an ultra-high-density image sensor. After overcoming a series of challenges in semiconductor materials optimization\, photodetector performance improvement\, circuit design\, and sub-wavelength optical physics\, the ultra-high-density image sensor can be utilized in on-chip sub-diffraction optical microscopy. It is expected that this breakthrough will have profound applications in multiple fields such as nanoscience and life science. \nZoom Link :\nhttps://us05web.zoom.us/j/87181504042?pwd=wfGHZAGyUNyUwWiTBHnzgrUtMv9Cra.1 \nMeeting ID: 871 8150 4042\nPasscode: 7zscGQ\n\nBiography of the speaker:\n\nDr. Xiaohan WU\, Associate Professor\, at the School of Microelectronics\, Fudan University\, doctoral advisor. He has been awarded in the Shanghai Young Talents Program and the Shanghai Young Technological Star Program\, and serves as a council member of the Fudan University Young Teachers’ Association. His research focuses on novel image sensors\, advanced memories\, and flexible electronics. Supported by projects from the National Nature Science Foundation and the Minister of Science and Technology of China\, his research works have been published over 60 papers in international academic journals and received more than 10 granted patents.
URL:https://ece.hku.hk/events/on-chip-spectrum-detection-and-sub-diffraction-optical-microscopy/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231113
DTEND;VALUE=DATE:20231114
DTSTAMP:20260512T013716
CREATED:20231107T023553Z
LAST-MODIFIED:20250114T080412Z
UID:17811-1699833600-1699919999@ece.hku.hk
SUMMARY:Introduction to the world of optical solitary waves in ultrafast lasers
DESCRIPTION:On the occasion of the 50th anniversary of the prediction of optical solitons\, I feel instructive to revisit the connections between ultrafast laser dynamics and solitary waves through a few milestones. The concepts of conventional (Hamiltonian) and dissipative solitons have been found to echo\, oppose\, or complement each other in the understanding of original dynamical regimes and related optical waveforms – such as bright solitons in normally-dispersive laser cavities\, self-assembled soliton molecules\, and pulsating solitons. Nevertheless\, both concepts remain indispensable in the culture of laser scientists\, as they are actually intertwined in numerous physical situations\, and sustain a remarkable creativity in our scientific field. \nBiography of the speaker: \nPhilippe Grelu received the Ph.D. degree in quantum optics from the University Paris-Saclay in 1996. Following a postdoctoral position at University of Bordeaux\, France\, his interests moved to ultrafast nonlinear optics and femtosecond lasers. He joined the University of Burgundy in 1997 as an Associate Professor\, where he initiated ultrafast fiber laser research and became Full Professor in 2005. He developed a key expertise in nonlinear optical cavity dynamics\, with major contributions in the fast-developing field of dissipative optical solitons. He introduced the use of artificial intelligence\, with genetic algorithms\, to pilot ultrafast fiber lasers. He edited a monograph on Nonlinear Optical Cavity Dynamics in 2016 (Wiley) and is author or coauthor of above 250 scientific articles\, proceedings\, and book chapters.
URL:https://ece.hku.hk/events/introduction-to-the-world-of-optical-solitary-waves-in-ultrafast-lasers/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231109
DTEND;VALUE=DATE:20231110
DTSTAMP:20260512T013716
CREATED:20231026T033320Z
LAST-MODIFIED:20250114T080234Z
UID:17771-1699488000-1699574399@ece.hku.hk
SUMMARY:IDS Distinguished Speaker Series #4 - Learned Imaging Systems
DESCRIPTION:Computational imaging systems are based on the joint design of optics and associated image reconstruction algorithms. Of particular interest in recent years has been the development of end-to-end learned “Deep Optics” systems that use differentiable optical simulation in combination with backpropagation to simultaneously learn optical design and deep network post-processing for applications such as hyperspectral imaging\, HDR\, or extended depth of field. In this talk I will in particular focus on new developments that expand the design space of such systems from simple DOE optics to compound refractive optics and mixtures of different types of optical components. \nBiography of the speaker: \nProfessor of Computer Science and Elecrical & Computer Engineering @ King Abdullah University of Science and Technology (KAUST) Visual Computing Center\nProf. Wolfgang Heidrich is a Professor of Computer Science and Electrical and Computer Engineering in the KAUST Visual Computing Center\, for which he also served as director from 2014 to 2021. Prof. Heidrich joined King Abdullah University of Science and Technology (KAUST) in 2014\, after 13 years as a faculty member at the University of British Columbia. He received his PhD in from the University of Erlangen in 1999\, and then worked as a Research Associate in the Computer Graphics Group of the Max-Planck-Institute for Computer Science in Saarbrucken\, Germany\, before joining UBC in 2000. Prof. Heidrich’s research interests lie at the intersection of imaging\, optics\, computer vision\, computer graphics\, and inverse problems. His more recent interest is in computational imaging\, focusing on hardware-software co-design of the next generation of imaging systems\, with applications such as High-Dynamic Range imaging\, compact computational cameras\, hyperspectral cameras\, to name just a few. Prof. Heidrich’s work on High Dynamic Range Displays served as the basis for the technology behind Brightside Technologies\, which was acquired by Dolby in 2007.\nProf. Heidrich is a Fellow of the IEEE\, AAIA\, and Eurographics\, and the recipient of a Humboldt Research Award as well as the ACM SIGGRAPH Computer Graphics Achievement Award.
URL:https://ece.hku.hk/events/ids-distinguished-speaker-series-4-learned-imaging-systems/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20231108T183000
DTEND;TZID=Asia/Hong_Kong:20231108T200000
DTSTAMP:20260512T013716
CREATED:20250224T024610Z
LAST-MODIFIED:20250224T024610Z
UID:110126-1699468200-1699473600@ece.hku.hk
SUMMARY:HKU EEE X HKIE Electrical Membership Drive Talk 2023 (Electrical Discipline)
DESCRIPTION:
URL:https://ece.hku.hk/events/20231108-1/
CATEGORIES:Career Talks,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231101
DTEND;VALUE=DATE:20231102
DTSTAMP:20260512T013716
CREATED:20231030T031257Z
LAST-MODIFIED:20250114T080259Z
UID:17774-1698796800-1698883199@ece.hku.hk
SUMMARY:Machine learning applications to nonlinear pulse propagation dynamics
DESCRIPTION:The propagation of short and intense laser pulses in an optical fiber is known to be associated with a rich landscape of nonlinear propagation scenarios and multidimensional dynamical regimes. For example\, in the coherent regime\, soliton dynamics can lead to the generation of a broadband supercontinuum while in the incoherent regime noise amplification can lead to the development of instabilities that have been associated with the emergence of extreme events. These can be challenging to model and control using conventional approaches. Recently\, there has been rapid growth in the field of smart ultrafast photonics where machine-learning algorithms are combined with nonlinear optical systems allowing for optimized performance and control\, high-speed characterization and identification of particular features within noisy data\, or enhanced functionalities. In this talk\, we will review our work in this area and\, in particular\, we will show how the techniques of machine learning can be efficiently exploited for the analysis of nonlinear instabilities and rogue waves; the prediction of complex supercontinuum generation dynamics with orders of magnitude increased computation speed when compared to conventional direct numerical integration of the generalized nonlinear Schrödinger equation; the optimized and precise control of the spectrum of broadband supercontinuum sources for spectroscopic applications. \nBiography of the speaker: \nGoëry Genty obtained his from Ecole Supérieure d’Optique (France) in 1998 and PhD degree from Aalto University (Finland) in 2004. He has been Professor at Tampere University since 2014. His interest ranges from the study of ultrafast dynamics and instabilities\, supercontinuum generation\, to multimode systems\, real-time measurement techniques\, and machine learning. Awards include the IUPAP Young Scientist International Prize in Optics in 2011 and the Physics Prize of Finnish Academy of Science and Letters in 2019. He is Fellow of the Optical Society of America and European Optical Society and has published more than 150 publications in peer-reviewed journals. Goëry Genty is also the director of the Flagship for Photonics Research and Innovation and director of the Finnish national research infrastructure for light-based technologies\, two of the most prestigious research programs funded by the Research Council of Finland.
URL:https://ece.hku.hk/events/machine-learning-applications-to-nonlinear-pulse-propagation-dynamics/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231020
DTEND;VALUE=DATE:20231021
DTSTAMP:20260512T013716
CREATED:20231017T031513Z
LAST-MODIFIED:20250114T080910Z
UID:17739-1697760000-1697846399@ece.hku.hk
SUMMARY:Recent Developments in Kerr Optical Frequency Combs
DESCRIPTION:Kerr optical frequency combs have emerged as one of the most versatile laser sources over the past decade. Through the nonlinear cavity soliton generation process within a Kerr resonator\, a narrow linewidth coherent laser can be efficiently broadened into a wide-ranging comb\, with all comb lines remaining mutually coherent. In the quest for miniaturization\, the Kerr comb community has primarily focused on the microresonator platform. However\, these combs often have large frequency spacings\, making them impractical for many applications. Our latest work has centered on intriguing nonlinear phenomena observed in relatively large-scale resonators. By employing a synchronously pulsed driving scheme\, we’ve explored unique cavity solitons that were previously overlooked in continuous-wave pumped microresonators. \nBiography of the speaker: \nRay Xu completed his Ph.D. from the University of Auckland\, New Zealand\, specializing in nonlinear optics with a specific focus on ultrafast nonlinear laser source generation. After earning his doctorate\, he served as a postdoctoral fellow at the EEE department of the University of Hong Kong (HKU)\, collaborating closely with Kevin Tsia and Kenneth Wong. During this time\, he delved into the intriguing applications of ultrafast lasers in imaging.\nSubsequently\, Ray transitioned to a postdoctoral research role at Zhejiang University\, where he inadvertently became involved in pioneering work on spatiotemporal chirped cavity time-of-flight mass spectrometers.\nCurrently\, Ray is a research fellow at the University of Auckland. His primary research interest lies in the generation of Kerr frequency combs and their potential applications.
URL:https://ece.hku.hk/events/recent-developments-in-kerr-optical-frequency-combs/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231013
DTEND;VALUE=DATE:20231014
DTSTAMP:20260512T013716
CREATED:20231012T025739Z
LAST-MODIFIED:20250114T080934Z
UID:17704-1697155200-1697241599@ece.hku.hk
SUMMARY:Compressed Spectrum Sensing and Learning: From Theory to Practice
DESCRIPTION:This presentation discusses various aspects of Compressed Spectrum Sensing (CSS) systems to address existing challenges and enhance practical implementation. The research contributes to some of the key techniques that enhance the performance of CSS systems in a practical framework\, including refining spectrum recovery accuracy\, optimising sampling pattern design\, and improving reconstruction and machine learning algorithms. This talk will also present a software-defined system for CSS on mmWave which achieves real-time spectrum sensing for a 3.072 GHz bandwidth signal at a 28.5 GHz centre frequency\, utilising Bayesian sparsity estimation and data decimation algorithms for robust performance. \nBiography of the speaker: \nYue Gao is a Chair Professor at School of Computer Science\, and Director of Intelligent Networking and Computing Research Centre at Fudan University\, China and a Visiting Professor at University of Surrey\, UK. His research interests include smart antennas\, sparse signal processing and cognitive networks for mobile and satellite systems. He has published over 200 peer-reviewed journal and conference papers. He was a co-recipient of the EU Horizon Prize Award on Collaborative Spectrum Sharing in 2016\, elected as the Engineering and Physical Sciences Research Council Fellow in 2017 and the Fellow of the Fellow of Chinese Institute of Communications in 2023. He is a member of the Board of Governors and Distinguished Lecturer of the IEEE Vehicular Technology Society (VTS)\, Chair of the IEEE ComSoc Wireless Communication Technical Committee\, past Chair of the IEEE ComSoc Technical Committee on Cognitive Networks. He has been an Editor of several IEEE Transactions and Journals\, and Symposia Chair\, Track Chair\, and other roles in the organising committee of several IEEE ComSoC\, VTS and other conferences. \nAll are welcome.
URL:https://ece.hku.hk/events/compressed-spectrum-sensing-and-learning-from-theory-to-practice/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231012
DTEND;VALUE=DATE:20231013
DTSTAMP:20260512T013716
CREATED:20231009T083418Z
LAST-MODIFIED:20250114T080745Z
UID:17703-1697068800-1697155199@ece.hku.hk
SUMMARY:Publishing in Wiley Materials Science Journals
DESCRIPTION:A highly competitive research environment with increasingly limited research funding has created a “Publish or Perish” attitude among scientists who are judged on the quantity rather than quality of their research articles. This presentation provides a brief overview of current trends and challenges in scientific publishing\, some ethical considerations\, how publishers and authors interact and influence each other\, and how the publishing arena is being transformed. Tips will be presented on how to select an appropriate journal for your paper\, what aspects of preparation and presentation to focus on from an editor’s and referee’s perspective\, and hints for increasing the discoverability of your paper after publication. \nBiography of the speaker:\nGuanchen Xu joined Wiley in September 2011 as an Assistant Editor from the Beijing University of Technology\, where he obtained his PhD (Materials Science) and then served as Assistant Professor for one year. He has been working as the Deputy Editor for Small and Advanced Energy Materials and has also contributed to the rapid growth and success of other journals in the materials science in-house editorial portfolio\, such as Advanced Science. In early 2017\, he\, acting as the acting Editor-in-Chief\, successfully launched the first sister journal of Small – Small Methods. Besides of his editorial role\, he provides leadership and management for the editorial teams of Physical Sciences in China. \nAll are welcome.
URL:https://ece.hku.hk/events/publishing-in-wiley-materials-science-journals/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231012
DTEND;VALUE=DATE:20231013
DTSTAMP:20260512T013716
CREATED:20231005T022635Z
LAST-MODIFIED:20250114T080816Z
UID:17701-1697068800-1697155199@ece.hku.hk
SUMMARY:Distinguished Seminar :Advancements and Opportunities in Next-Generation MIMO Wireless Communication
DESCRIPTION:MIMO (multiple-input multiple-output) wireless communication has been an instrumental technology in fourth and fifth generation cellular communication systems. With more aggressive performance targets\, the evolution of MIMO is essential to support more antennas\,  accommodate larger bandwidths and exploit higher carrier frequencies.  In this talk\, I will describe three areas of opportunity for the next generation of MIMO wireless communications. First\, I will discuss the need for new antenna array designs to realize large apertures. Second\, I will cover methods for modeling and analyzing these arrays. Finally\, I will make the case for data-driven algorithms  to adaptively configure these new MIMO systems. Throughout the presentation\, I will emphasize the importance of revisiting classical models and assumptions. \nBiography of the speaker: \nRobert W. Heath Jr. is the Lampe Distinguished Professor in the Department of ECE at North Carolina State University.  He is the recipient or co-recipient of several awards including  the 2019 IEEE Kiyo Tomiyasu Award\, the 2020 IEEE Signal Processing Society Donald G. Fink Overview Paper Award\, the 2020 North Carolina State University Innovator of the Year Award\, the 2021 IEEE Vehicular Technology Society Neal Shepherd Memorial Best Propagation Paper Award\,  the 2021 IEEE Vehicular Technology Society James Evans Avant Garde Award\, and the 2022 IEEE Vehicular Technology Society Best Vehicular Electronics Paper Award. He authored  “Introduction to Wireless Digital Communication” (Prentice Hall in 2017) and “Digital Wireless Communication: Physical Layer Exploration Lab Using the NI USRP” (National Technology and Science Press in 2012). He co-authored “Millimeter Wave Wireless Communications” (Prentice Hall in 2014) and “Foundations of MIMO Communications” (Cambridge 2019). He is a licensed Amateur Radio Operator\, a registered Professional Engineer in Texas\, a Private Pilot\,  a Fellow of the National Academy of Inventors\, and a Fellow of the IEEE. \nAll are welcome.
URL:https://ece.hku.hk/events/distinguished-seminar-advancements-and-opportunities-in-next-generation-mimo-wireless-communication/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231012
DTEND;VALUE=DATE:20231013
DTSTAMP:20260512T013716
CREATED:20230928T093248Z
LAST-MODIFIED:20250114T080844Z
UID:17670-1697068800-1697155199@ece.hku.hk
SUMMARY:Orthogonal Delay-Doppler Division Multiplexing (ODDM): A Novel Delay-Doppler Domain Multi-Carrier Waveform
DESCRIPTION:In this talk\, we will first review the model of linear time-varying (LTV) channels from the delay-Doppler (DD) domain\, and discuss the LTV channels’ DD domain impulse response. Next\, we revisit the fundamentals of multi-carrier (MC) modulation\, including the transmission strategy\, the pulse design principles and the implementation methods. Then\, we propose an impulse function based transmission strategy for LTV channels\, and design the corresponding general delay-Doppler multi-carrier (DDMC) modulation. By introducing the newly discovered delay-Doppler domain orthogonal pulse (DDOP)\, we present the DDOP-based orthogonal delay-Doppler division multiplexing (ODDM) modulation. We show perfect orthogonality property of the DDOP with respect to DD resolutions using its ambiguity function\, which infers that the proposed ODDM/DDMC waveform is suitable for future integrated sensing and communications (ISAC) systems. \nBiography of the speaker: \nHai Lin received the B.E. degree from Shanghai JiaoTong University\, China\, in 1993\, and the Dr. Eng. degree from Osaka Prefecture University\, Japan\, in 2005. In 2000\, he joined the Graduate School of Engineering\, Osaka Prefecture University (renamed Osaka Metropolitan University in 2022)\, where he is currently a Professor. Prof. Lin received the Best Paper Award from IEEE GLOBECOM 2018. He has served as technical program co-chair for symposium/track of international conferences\, including IEEE ICC 2011\, 2013\, IEEE GLOBECOM 2013\, 2020\, IEEE WCNC 2019\, 2021. He was the Chair of the Signal Processing and Communications Electronics Technical Committee\, IEEE Communications Society\, from 2015 to 2016. Currently\, he is the Chair of the IEEE Communications Society Kansai Chapter. Prof. Lin was an Associate Editor of the IEEE Transactions on Wireless Communications and now is an Associate Editor of the IEEE Transactions on Communications and the IEEE Transactions on Vehicular Technology. His current research interests include wireless communications and statistical signal processing. \nAll are welcome.
URL:https://ece.hku.hk/events/orthogonal-delay-doppler-division-multiplexing-oddm-a-novel-delay-doppler-domain-multi-carrier-waveform/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231012
DTEND;VALUE=DATE:20231013
DTSTAMP:20260512T013716
CREATED:20230913T092249Z
LAST-MODIFIED:20250114T100137Z
UID:17639-1697068800-1697155199@ece.hku.hk
SUMMARY:6G\, Metaverse\, and Generative AI: From Convergence to Emergence
DESCRIPTION:6G networks will bring forth a variety of novel enabling technologies such as integrated sensing and communications for perceptive mobile networks\, quantum-enabled wireless networks\, blockchainized mobile networks\, and AI-native networks with intelligence-endogenous capabilities. The push from more advanced technological tools becoming available as well as the pull from society’s needs imply that there must be several 6G paradigm shifts\, e.g.\, transition from 2D to global 3D connectivity\, services beyond communication\, and a cyber-physical continuum between the connected physical world of senses\, actions\, and experiences and its programmable digital representations. Importantly\, NSF’s view on Next G research is that Next G includes but is not limited to the specific key performance indicator requirements and topics of interest addressed by the different 6G standards development organizations. In fact\, according to the Next G Alliance roadmap\, there is a unique opportunity to address the interdependencies between technological and human evolution\, given that there is a symbiotic relationship between technology and a population’s societal and economic needs. As technology shapes human behavior and lifestyles\, those needs shape technological evolution. \nThis talk focuses on the fusion of digital and real worlds. We introduce the concept of the so-called Multiverse as an interesting attempt to help realize the fusion of digital and real worlds. The Multiverse offers eight different types of reality\, including but not limited to virtual and augmented reality. A term closely related to the Multiverse is the recently emerging Metaverse. The Metaverse might be viewed as the next step after the Internet\, similar to how the mobile Internet expanded and enhanced the early Internet in the 1990s and 2000s. The various adventures that this place has to offer will surround us both socially and visually. The Metaverse will put the user first\, allowing every member of our species to delve into new realms of possibilities. A modern\, digital renaissance is taking place on the grandest stage we have ever seen\, involving billions of connected brains. In the coming decades\, a new era of virtual life will bring in our next big milestone as a networked species. \nSome argue that we are in the middle of making a historic pivot from adapting nature to our species to adapting our species back to nature. This pivot requires a wholesale rethinking of our worldview\, shifting to a new scientific paradigm that views nature as a life source rather than resource and perceives the Earth as a complex self-organizing and self-evolving system. While we know less about the ocean floor than we know about the surface of the moon\, we know even less about the complex life that busies itself under our feet in the soil and cannot be seen with the naked eye. A handful of forest soil contains more life forms than there are people on the planet. The talk will end by providing an outlook on the convergence of digital evolution with biology\, as illustrated for the use case of Metaverse’s virtual society. We outline our ideas of the virtual society’s symbiosis of Inter(net) and (human) being in the future Metaverse\, giving rise to the powerful concept of Interbeing. We show that generative AI is instrumental in creating life-like digital organisms that produce clever solutions that AI researchers did not consider\, had thought impossible\, or even outwitting us humans. \n  \nBiography of the speaker: \nMartin Maier is a full professor with the Institut National de la Recherche Scientifique (INRS)\, Montréal\, Canada. He was educated at the Technical University of Berlin\, Germany\, and received MSc and PhD degrees both with distinctions (summa cum laude) in 1998 and 2003\, respectively. He was a recipient of the two-year Deutsche Telekom doctoral scholarship from 1999 through 2001. He was a visiting researcher at the University of Southern California (USC)\, Los Angeles\, CA\, in 1998 and Arizona State University (ASU)\, Tempe\, AZ\, in 2001. In 2003\, he was a postdoc fellow at the Massachusetts Institute of Technology (MIT)\, Cambridge\, MA. Before joining INRS\, Dr. Maier was a research associate at CTTC\, Barcelona\, Spain\, 2003 through 2005. He was a visiting professor at Stanford University\, Stanford\, CA\, 2006 through 2007. He was a co-recipient of the 2009 IEEE Communications Society Best Tutorial Paper Award. Further\, he was a Marie Curie IIF Fellow of the European Commission from 2014 through 2015. In 2017\, he received the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt (AvH) Foundation in recognition of his accomplishments in research on FiWi-enhanced mobile networks. In 2017\, he was named one of the three most promising scientists in the category “Contribution to a better society” of the Marie Skłodowska-Curie Actions (MSCA) 2017 Prize Award of the European Commission. In 2019/2020\, he held a UC3M-Banco de Santander Excellence Chair at Universidad Carlos III de Madrid (UC3M)\, Madrid\, Spain. \nAmong numerous other publications\, Martin Maier is co-author of the book “Toward 6G: A New Era of Convergence” (Wiley-IEEE Press\, January 2021) and author of the recently published sequel “6G and Onward to Next G: The Road to the Multiverse” (Wiley-IEEE Press\, February 2023). The first book elaborates on the importance of convergence of upcoming technological trends and key enabling technologies (e.g.\, AI\, robots\, XR\, and blockchain) that lie at the heart of 6G and the possible end of the smartphone era. The book ends with an outlook on how future profound technologies will weave themselves into the fabric of everyday life until they are indistinguishable from it and the boundary between virtual and physical worlds is to become increasingly imperceptible. Conversely\, the second book explores the emergence of a new regime that connects all humans and machines into a global matrix\, which some call the global mind or world brain\, leveraging on the collective intelligence of all humans combined with the collective behavior of all machines\, plus the intelligence of nature\, plus whatever behavior emerges from this whole. It focuses not only on the technologies but also points to the expected human transformation in the 6G era through unifying experiences across the physical\, digital\, and biological worlds delivered by non-traditional converged service platforms\, where developers do not hesitate to use technologies from as many disciplines as possible to pave the way for the coming Metaverse as the precursor of the future Multiverse. \n  \n  \nAll are welcome.
URL:https://ece.hku.hk/events/6g-metaverse-and-generative-ai-from-convergence-to-emergence/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231010
DTEND;VALUE=DATE:20231011
DTSTAMP:20260512T013716
CREATED:20230919T083526Z
LAST-MODIFIED:20250114T100250Z
UID:17663-1696896000-1696982399@ece.hku.hk
SUMMARY:Advancing Network Management for Ubiquitous and Intelligent 6G Connectivity
DESCRIPTION:In the imminent era of 6G communications\, unprecedented advancements will reshape our technological landscape and redefine the boundaries of the digital experience. 6G will enable two main features: ubiquitous communications via satellite-terrestrial integrated networks and intelligent connections. It is expected that 6G will significantly amplify network capabilities through advanced communication techniques such as AI methods and low-cost satellite communications\, but this also ushers in new challenges to network management in 6G. In this talk\, we will first discuss extended use cases and potential network architectures in 6G. We will then focus on two case studies for network management to support two representative 6G use cases: connected autonomous driving and satellite-terrestrial integrated networks\, respectively. The first case study centers on enhancing resource scheduling for timely and reliable edge computing in autonomous driving\, while the second delves into developing agile and scalable service provision for ultra-remote real-time services with long transmission distances and stringent delay requirements in satellite-terrestrial integrated networks. In both case studies\, we will highlight the indispensable role of AI in network management\, aiming to provide seamless connectivity and meet diverse service demands in the 6G era. \nBiography of the speaker:\nDr. Lian Zhao is a professor at the Department of Electrical\, Computer\, & Biomedical Engineering at Toronto Metropolitan University. She has been an IEEE Communication Society (ComSoc) and IEEE Vehicular Technology (VTS) Distinguished Lecturer (DL); received the Best Land Transportation Paper Award from IEEE Vehicular Technology Society in 2016\, Best Paper Award from the 2013 International Conference on Wireless Communications and Signal Processing (WCSP)\, and the Canada Foundation for Innovation (CFI) New Opportunity Research Award in 2005. She has been serving as an Editor for IEEE Transactions on Wireless Communications\, IEEE Internet of Things Journal\, and IEEE Transactions on Vehicular Technology. She served as a General Chair for 2023 ComSoc Frontier Networking Symposium (FNS)\, co-Chair of Wireless Communication Symposium for IEEE Globecom 2020 and IEEE ICC 2018; Finance co-Chair for 2021 ICASSP; Local Arrangement co-Chair for IEEE VTC Fall 2017 and IEEE Infocom 2014. She has been an elected member for the Board of Governor (BoG) since 2023. She has severed as a panel expert in various federal\, provincial\, and international evaluation committees. \nAll are welcome.
URL:https://ece.hku.hk/events/advancing-network-management-for-ubiquitous-and-intelligent-6g-connectivity/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231010
DTEND;VALUE=DATE:20231011
DTSTAMP:20260512T013716
CREATED:20230919T082524Z
LAST-MODIFIED:20250114T100225Z
UID:17662-1696896000-1696982399@ece.hku.hk
SUMMARY:Self-Evolving and Transformative (SET) Protocol Architecture for 6G
DESCRIPTION:The fusion of digital and real worlds in all dimensions will be the driving force for future sixth-generation (6G) wireless systems. Ubiquitous in-time and on-time communication services between humans\, machines\, robots\, and their virtual counterparts are essential\, and they expand from the ground to air\, space\, underground\, and deep sea. 6G systems are not only data pipelines but also large-scale distributed computing systems with integrated sensing\, processing\, storage\, communication and computing capabilities. It is challenging to build ubiquitous and intelligent 6G systems\, handling stringent quality-of-service (QoS) requirements\, providing a rich set of communication modes\, including unicast\, multicast\, broadcast\, in-cast\, and group-cast\, and supporting user-centric mobile applications. In this talk\, we introduce a new protocol architecture\, Self-Evolving and Transformative (SET) architecture that can provide a wide range of control functions\, and be intelligently configured for different types of 6G applications and networking environments. Its design principles\, potentials\, and open issues are discussed. We also introduce a use case applying the architecture to develop a mobility-aware multi-path QUIC protocol for satellite networks. \nBiography of the speaker:\nLin Cai is a Professor with the Department of ECE at the University of Victoria. She is an NSERC E.W.R. Steacie Memorial Fellow\, an Engineering Institute of Canada (EIC) Fellow\, and an IEEE Fellow. In 2020\, she was elected as a Member of the Royal Society of Canada’s College of New Scholars\, Artists and Scientists\, and a 2020 “Star in Computer Networking and Communications” by N2Women. Her research interests span several areas in communications and networking\, focusing on network protocol and architecture design supporting emerging multimedia traffic and the Internet of Things. She was a recipient of the NSERC Discovery Accelerator Supplement (DAS) Grants in 2010 and 2015\, respectively. She has co-founded and chaired the IEEE Victoria Section Vehicular Technology and Communications Joint Societies Chapter. She is an elected member of the IEEE Vehicular Technology Society (VTS) Board of Governors\, 2019 – 2024. She is the Associate Editor-in-Chief for IEEE Transactions on Vehicular Technology and has served as a Distinguished Lecturer of both the IEEE VTS Society and the IEEE ComSoc Society. \nAll are welcome.
URL:https://ece.hku.hk/events/self-evolving-and-transformative-set-protocol-architecture-for-6g/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20231005T053000
DTEND;TZID=Asia/Hong_Kong:20231005T183000
DTSTAMP:20260512T013716
CREATED:20250224T025225Z
LAST-MODIFIED:20250224T025225Z
UID:110132-1696483800-1696530600@ece.hku.hk
SUMMARY:PricewaterhouseCoopers China Holding Limited
DESCRIPTION:
URL:https://ece.hku.hk/events/20231005-1/
CATEGORIES:Career Talks,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230926
DTEND;VALUE=DATE:20230927
DTSTAMP:20260512T013716
CREATED:20230921T090122Z
LAST-MODIFIED:20250114T100315Z
UID:17666-1695686400-1695772799@ece.hku.hk
SUMMARY:Geometric Robot Learning for Generalizable Skills Acquisition
DESCRIPTION:Robot learning has witnessed significant progress in terms of generalization in the past few years. At the heart of such a generalization\, the advancement of representation learning\, such as image and text foundation models plays an important role. While these achievements are encouraging\, most tasks conducted are relatively simple. In this talk\, I will talk about our recent efforts on learning generalizable skills focusing on tasks with complex physical contacts and geometric reasoning. Specifically\, I will discuss our research on: (i) the use of a large number of low-cost\, binary force sensors to enable Sim2Real manipulation; (ii) unifying 3D and semantic representation learning to generalize policy learning across diverse objects and scenes. I will showcase the real-world applications of our research\, including dexterous manipulation\, language-driven manipulation\, and legged locomotion control. \nZoom Link:\nhttps://hku.zoom.us/j/95792387978?pwd=YmJGU1ZxMC80alNWZ1gwS2lyNWFydz09 \nBiography of the speaker:\nXiaolong Wang is an Assistant Professor in the ECE department at the University of California\, San Diego\, affiliated with the TILOS NSF AI Institute. He received his Ph.D. in Robotics at Carnegie Mellon University. His postdoctoral training was at the University of California\, Berkeley. His research focuses on the intersection between computer vision and robotics. His specific interest lies in learning 3D and dynamics representations from videos and physical robotic interaction data. These comprehensive representations are utilized to facilitate the learning of robot skills\, with the goal of generalizing the robot to interact effectively with a wide range of objects and environments in the real physical world. He is the recipient of the NSF CAREER Award\, Intel Rising Star Faculty Award\, and Research Awards from Sony\, Amazon\, Adobe\, and Cisco. \nAll are welcome.
URL:https://ece.hku.hk/events/geometric-robot-learning-for-generalizable-skills-acquisition/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230925
DTEND;VALUE=DATE:20230926
DTSTAMP:20260512T013716
CREATED:20230913T094624Z
LAST-MODIFIED:20250114T100203Z
UID:17640-1695600000-1695686399@ece.hku.hk
SUMMARY:Control of renewable-energy-dominated power systems
DESCRIPTION:Renewable energy is the key to achieving carbon neutrality. However\, the large-scale integration of renewable energy sources poses tremendous challenges to the stable operation of modern power systems\, as the systems become much more complex and are under lots of uncertainties. In particular\, the grid interface of renewable generators (i.e.\, power electronics converters) generally have distinct dynamics compared with traditional fossil-fuel-based synchronous generators\, resulting in new stability problems in practice. Moreover\, it has been widely recognized that conventional PLL-based control methods of power converters cannot support a stable renewable-energy-dominated power system because they have no grid-forming capability. Hence\, it is essential to develop advanced control strategies for power converters. This talk will introduce the challenges in controlling a renewable-energy-dominated power system and discuss how we can possibly understand the dynamics of such a system. I will present my research works in designing stabilizing\, robust\, and optimal controllers for renewable generators to handle uncertainties in the system and enable their grid-forming capabilities. I will demonstrate how data-driven control can equip renewable generators with adaptability and ensure robust and optimal performance under variable grid conditions. Moreover\, I will discuss other open problems in renewable-energy-dominated power systems and envision future research directions.\n \nBiography of the speaker: \nLinbin Huang is a postdoctoral researcher at ETH Zurich since September 2020\, working in the Automatic Control Laboratory. He received his Ph.D. degree in College of Electrical Engineering at Zhejiang University in 2020 and a B. Eng. degree from the same institution in 2015. From 2018 to 2019\, he was a visiting scientist at ETH Zurich. His research interests include power system stability\, optimal control of power electronics\, and data-driven control. \nAll are welcome.
URL:https://ece.hku.hk/events/control-of-renewable-energy-dominated-power-systems/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230918
DTEND;VALUE=DATE:20230919
DTSTAMP:20260512T013716
CREATED:20230808T085759Z
LAST-MODIFIED:20250114T095818Z
UID:17569-1694995200-1695081599@ece.hku.hk
SUMMARY:From basic concepts to clinical translation of deep learning in MRI reconstruction
DESCRIPTION:In 2016\, deep learning techniques have been introduced to solve the inverse problem of MR image reconstruction from undersampled data from accelerated acquisitions (1\,2\,3). Since then\, the field has grown substantially\, and a wide range of machine learning methods have been developed and applied to a wide range of imaging applications. In this talk\, I will give a short overview of the background of a deep learning reconstruction that is based on iterative reconstruction methods used in compressed sensing. I will discuss advantages as well as ongoing challenges that need to be met when translating these approaches into daily clinical practice (4). This will include a discussion of the lessons learnt from the recent fastMRI image reconstruction challenges (5\,6). \nReferences:\n1. Learning a variational model for compressed sensing MRI reconstruction. Hammernik\, et al. Proc. ISMRM p33 (2016).\n2. Accelerating magnetic resonance imaging via deep learning. Wang et al. IEEE ISBI 514-517 (2016).\n3. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Hammernik et al. MRM\, 79:3055-3071 (2018).\n4. Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI. Johnson et al.\, Radiology 307:e220425 (2023).\n5. Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. Knoll et al. MRM 84 (6)\, 3054-3070 (2020).\n6. Results of the 2020 fastmri challenge for machine learning MR image reconstruction. Muckley et al. IEEE TMI 40 (9)\, 2306-2317(2021). \nBiography of the speaker: \nFlorian Knoll received his PhD in electrical engineering in 2011 from Graz University of Technology. From 2015 to 2021\, he was Assistant Professor for Radiology at the Center for Biomedical Imaging at NYU Grossman School of Medicine. Since 2021\, he is Professor and head of the Computational Imaging Lab at the Department Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander University Erlangen Nuremberg. In currently holds two grants from the German research fund (DFG) as well as an R01 and a P41 TR&D project award from NIH. His research interests include iterative MR image reconstruction\, parallel MR imaging\, Compressed Sensing and Machine Learning. \nAll are welcome.
URL:https://ece.hku.hk/events/from-basic-concepts-to-clinical-translation-of-deep-learning-in-mri-reconstruction/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230908
DTEND;VALUE=DATE:20230909
DTSTAMP:20260512T013716
CREATED:20230829T081126Z
LAST-MODIFIED:20250114T100048Z
UID:17600-1694131200-1694217599@ece.hku.hk
SUMMARY:Mapping Charge Carrier Dynamics in Solar Cell Materials
DESCRIPTION:The separation and collection of photo-generated charge carriers in light-harvesting devices are limited by the losses and ambiguous dynamical events at the surfaces and interfaces of the absorber layers.1-3 These events occur in ultrafast time scales and can only be visualized selectively in space and time by scanning ultrafast electron microscopy (the sole technique capable of surface-selective visualization of light-triggered carrier dynamics at nanometer and femtosecond scales). In this method\, the surface of the photoactive materials is excited by a clocking optical pulse and the photo-induced changes will be directly imaged using a pulsed electron beam that generate secondary electrons with a couple of electron volts energy\, which are emitted from the very top surface of the material in a manner that is extremely sensitive to the localization of the electron and hole on the photoactive material surfaces. This powerful technique along with ultrafast laser spectroscopy allow us to directly and precisely investigate and decipher the trajectory of charge carriers on materials surfaces and interfaces in real space and real time. Through this work\, we have optimized the properties of photoactive materials for applications in light-harvesting devices that led to the world-record solar cell devices based on perovskite crystals. Moreover\, we have clearly demonstrated in space and time how the surface orientations\, surface oxidation and passivation can significantly impact the overall dynamical processes of photo-generated charge carriers in optoelectronic materials.4-5 Finally\, I will talk about our recent ground-breaking work in X-ray imaging technology that include cutting-edge materials discovery\, heavy-atom engineering\, state-of-the-art characterization and efficient (nearly 100%) interfacial energy transfer between sensitizers and scintillators that has led to the development of novel X-ray imaging screens with outstanding sensitivity\, ultralow detection limit\, unprecedented spatial image resolution and low-cost fabrication\, with potential applications in medical imaging\, industrial monitoring and security screenings. 6-9  \nReferences  \n1- O. M. Bakr\, O. F. Mohammed.\, Science 355\, 1260 (2017). \n2- R. Begum\, M. R. Parida\, A. L. Abdelhady\, B. Murali\, N. Alyami\, G. H. Ahmed\, M. N. Hedhili\, O. M. Bakr\, and O. F. Mohammed.\, J. Am. Chem. Soc. 139\, 731 (2017). \n3- O. F. Mohammed\, D.-S. Yang\, S. Pal\, A. H. Zewail\, J. Am. Chem. Soc. 133\, 7708 (2011). \n4- R. Bose\, A. Bera\, M. R. Parida\, A. Adhikari\, B. S. Shaheen\, E. Alarousu\, J. Sun\, T. Wu\, O. M. Bakr\, O. F. Mohammed\, Nano Lett. 16\, 4417 (2016). \n5- A. M. El-Zohry\, B. S. Shaheen\, V. M. Burlakov\, J. Yin\, M. N. Hedhili\, S. Shikin\, B. S. Ooi\, O. M. Bakr\, O. F. Mohammed\, Chem\, 5\, 706-718 (2019). \n6- P. Maity\, N. A. Merdad\, J. Yin\, K. J. Lee\, L. Sinatra\, O. M. Bakr\, O. F. Mohammed\, ACS Energy Lett.\, 6\, 2602 (2021). \n7- Y. Zhang\, R. Sun\, X. Ou\, K. Fu\, Q. Chen\, Y. Ding\, L-J Xu\, L. Liu\, Y. Han\, A. V. Malko\, X. Liu\, H. Yang\, O. M. Bakr\, H. Liu\, O. F. Mohammed\, ACS Nano\, 13\, 2520 (2019). \n8- J.-X. Wang\, L. Gutie´rrez-Arzaluz\, X. Wang\, M. Almalki\, J. Yin\, J. Czaban-Jóźwiak\, O. Shekhah\, Y. Zhang\, O. B. Bakr\, M. Eddaoudi\, O. F. Mohammed\, Matter\, 5\, 253-265 (2022). \n9- J-X. Wang\, Chen\, L. Gutiérrez-Arzaluz\, X. Wang\, T. He\, Y. Zhang\, M. Eddaoudi\, O. M. Bakr\, O. F. Mohammed\, Nature Photonics\, 16\, 869-875 (2022). \nBiography of the speaker: \nDr. Mohammed is Professor of Chemistry and Materials Science & Engineering; and the principal investigator of ultrafast laser spectroscopy and four-dimensional (4D) electron imaging laboratory at KAUST. He earned a Ph.D in Physical and Theoretical Chemistry from Humboldt University of Berlin\, Germany. Prior to joining KAUST\, Dr. Mohammed was a senior research associate at Caltech\, where he worked with Professor Zewail\, a Nobel laureate\, on developing innovative laser spectroscopic and time-resolved electron imaging techniques. During his time at Caltech\, Dr. Mohammed made significant contributions to the profound understanding of the dynamics of photo-generated charge carriers in photoactive materials\, and pioneered the development of advanced characterization techniques for studying surface and interfacial dynamics on nanometer and femtosecond scales. The current research activities of Dr. Mohammed are focused on the development of highly efficient solar cells\, light-emitting diodes and X-ray imaging scintillators with the aid of ultrafast laser spectroscopy\, 4D electron imaging and computational materials. \nDr. Mohammed has published over 310 articles in international peer-reviewed journals including Science\, Nature\, Nature Materials\, Nature Energy and Nature Photonics\, large number of these papers are currently highly cited ( 39 papers). Dr. Mohammed has more than 32\,000 citations and 84 h-index. In 2019 and 2020\, 2021\, 2022 Dr. Mohammed was identified as a Highly Cited Researcher by Web of Science. In January 2020\, he joined the Editorial Advisory Board of the Journal of Physical Chemistry Letters. In February\, 2021\, he was named a Fellow of the Royal Society of Chemistry (FRSC). In March\, 1\, 2021\, Dr. Mohammed was appointed an Associate Editor of ACS Applied Materials & Interfaces. In January 2023\, he joined the Editorial Advisory Board of ACS Materials Letters and the Journal of Physical Chemistry A & B & C (American Chemical Society) – some of the leading journals of the field of Physical Chemistry and Materials Science. In July 2023\, he was named a Fellow of the Institute of Physics (IOP). Finally\, Dr. Mohammed is the recipient of several prestigious awards\, including the Distinguished Scholar Award from Arab Fund for Economic and Social Development\, Kuwait; Long-term Fellowship\, Germany\, the Japan Society for the Promotion of Science (JSPS) fellowship\, Japan\, the State Prize in Basic Sciences\, Egypt\, Shoman Prize in Photochemistry\, Shoman Foundation\, Jordan\, and Kuwait Prize in Physics\, Kuwait Foundation\, Kuwait. \nAll are welcome.
URL:https://ece.hku.hk/events/mapping-charge-carrier-dynamics-in-solar-cell-materials/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230906
DTEND;VALUE=DATE:20230907
DTSTAMP:20260512T013716
CREATED:20230831T024217Z
LAST-MODIFIED:20250114T100115Z
UID:17604-1693958400-1694044799@ece.hku.hk
SUMMARY:Seminar - Functional soft materials to interface with biology: from non-invasive mechanochemical drug delivery to miniaturized soft robotic actuators
DESCRIPTION:Non-invasive\, localized delivery and activation of chemical reactions and chemical release deep inside body is still challenging. In this talk\, I will cover how soft materials with energy transduction capabilities can address these challenges. In the first part\, I will showcase our efforts in developing soft materials that facilitate mechanochemistry\, a chemical process initiated by mechanical stress\, with biocompatible focused ultrasound assisted by acoustically-active proteins. To address the challenges of targeted delivery within the body\, in the second part of the talk\, I will discuss the development of cell-mimicking miniaturized soft actuators based on molecularly anisotropic polymer networks made by liquid crystalline elastomers (LCEs) with the goal to achieve untethered microrobots to navigate inside body for localized payload delivery. \nBiography of the speaker: \nDr. Yuxing Yao is a Resnick postdoctoral scholar in Chemical Engineering at California Institute of Technology working with Prof. Mikhail G. Shapiro. Dr. Yao received his B.S. in Chemistry from Tsinghua University and his Ph.D. in Chemistry and Chemical Biology from Harvard University. His research focuses on developing soft functional materials to interface with Biology. Yuxing’s work has been recognized by Foresight Institute Distinguished Student Award (Previous awardees: Yi Cui (Stanford)\, Jing Kong (MIT)) and DSM Science & Technology Award Finalist (4 ppl. nationwide under the ACS Div. of Polymer Chemistry). \nAll are welcome.
URL:https://ece.hku.hk/events/seminar-functional-soft-materials-to-interface-with-biology-from-non-invasive-mechanochemical-drug-delivery-to-miniaturized-soft-robotic-actuators/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230904
DTEND;VALUE=DATE:20230905
DTSTAMP:20260512T013716
CREATED:20230807T094456Z
LAST-MODIFIED:20250114T080719Z
UID:17567-1693785600-1693871999@ece.hku.hk
SUMMARY:Towards open-source MR software and hardware with Pulseq and CoilGen
DESCRIPTION:MRI is a mature non-invasive medical imaging technology\, which is why the human MRI machines from all major manufacturers are very similar. Nonetheless\, the development and dissemination of novel MR acquisition techniques is hampered by the notoriously difficult and time-consuming task of implementing new methods on a particular MR vendor’s platform since it must be done using that vendor’s low-level and proprietary programming environment. Furthermore\, distributing a new pulse sequence to another vendor’s platform is generally not possible since each vendor’s software ecosystem is different and tightly sealed. This discourages scientific and clinical collaboration by introducing artificial boundaries\, leading to fragmentation within the research community. Whereas for image reconstruction and image post-processing a great variety of open source software tools exist\, little can be found for the MR pulse sequence design and even less so for the MR hardware. With our recent tools Pulseq[1\,2] and CoilGen[3\,4] we are actively changing the established predominantly proprietary landscape by contributing towards the open source and open science culture[5]. \nReferences:\n[1] http://pulseq.github.io/\n[2] Layton\, MRM 2017\, doi:10.1002/mrm.26235;\n[3] https://github.com/Philipp-MR/CoilGen\n[4] Amrein\, MRM 2022\, doi: 10.1002/mrm.29294;\n[5] https://www.opensourceimaging.org/ \nBiography of the speaker: \nProf. Maxim Zaitsev graduated from the Belarussian State University in 1997 with a Diploma Degree in Physics\, major Biophysics (equivalent of today’s Master of Science) and after a short detour to software industry has joined a Ph.D. program at the University of Cologne\, Germany in Fall of 1999. After defending his Ph.D. thesis on method development for magnetic resonance imaging (MRI) in 2002 he moved to the University of Freiburg\, Germany\, where he pursued a career from a postdoc to a senior scientist and a leader of the group MR Technologies. In 2019 he accepted a University Professor position at the Medical University of Vienna\, Vienna\, Austria\, where he acted as a Co-Director of the High Field Imaging Center. In January 2022 Prof. Zaitsev returned to Freiburg\, Germany\, as a Head of the Medical Physics Division at the Department of Radiology\, University Medical Center Freiburg. Prof. Zaitsev is a co-author of over 130 scientific papers and named as inventor on over 20 patents. \nAll are welcome.
URL:https://ece.hku.hk/events/towards-open-source-mr-software-and-hardware-with-pulseq-and-coilgen/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230829
DTEND;VALUE=DATE:20230830
DTSTAMP:20260512T013716
CREATED:20230823T024337Z
LAST-MODIFIED:20250114T100025Z
UID:17584-1693267200-1693353599@ece.hku.hk
SUMMARY:Seminar - From Device to System –  can we design power converters without physical boundaries?
DESCRIPTION:From electric vehicles to ICT equipment\, every Watt consumed is converted and controlled by power converters several times from the end to end. It is pivotal for energy saving and decarbonisation that power converters achieve high efficiency\, high reliability\, low cost\, and miniaturization. We will demonstrate a new design paradigm for power converter systems by means of structural and functional integration. Instead of the unilateral serial design process using available components\, we will cohesively design the power device\, packaging\, and control of a power converter. Applications and working progress on integrating the control and packaging design will be given in this talk as well as new magnetic components design. Using printed circuit board (PCB) to replace bonding wires\, new Silicon Carbide (SiC) power device packaging design will be discussed in terms of electromagnetic and thermomechanical performance. A new switching method using the intrinsic electroluminescence of power MOSFETs will demonstrate a self-adaptive zero voltage switching (ZVS) approach. This progress will lead to the final fully integrated and intelligent power converter design we aim to achieve in the foreseeable future. \nBiography of the speaker: \nProf Teng Long has been appointed Lecturer at the University of Cambridge in 2016 then Associate Professor in 2021 and Full Professor (Professor of Power Electronics) in 2022. He established the Advanced Power Electronics Laboratory (The Long Group) in the Department of Engineering and he is currently leading a research team comprised of 3 Postdoctoral Research Associates and 7 PhD students. His research portfolio covers from power electronic devices to power converters to drive and power systems\, mainly for transport electrification and renewable energy applications. Since 2017\, Prof Long has been awarded more than £3 million research grants where half are funded by the UK government and the rest directly from industrial sponsors. Prof Long has built strong connections with industrial partners including the SAIC Motor\, Dynex Semiconductor\, STMicroelectronics\, Siemens\, CBMM\, NIO\, CRRC\, Wuxi SES. \nPrior to joining Cambridge\, he has worked for General Electric (GE) where he has led or played an important role in many rewarding projects such as the first transformer-less all electric oil-platform supply vessel\, the first large scale all electric warship (Type 45 Destroyer)\, and the first electromagnetic aircraft catapult demonstrator. Prof Long established the EPIC Tech Ltd\, a start-up company specializing high density power modules. Since inception\, the company has raised several tens of million RMB venture capital and launched a few products. \nTo date\, Prof Long has more than 80 academic papers published at international journals and he is the inventor of 5 international patents. Prof Long received the B.Eng. from the Huazhong University of Science and Technology\, China\, the first class B.Eng. (Hons.) from the University of Birmingham\, UK in 2009\, and the Ph.D. from the University of Cambridge\, UK in 2013. Prof Long is a Chartered Engineer registered with the UK Engineering Council. \nAll are welcome.
URL:https://ece.hku.hk/events/seminar-from-device-to-system-can-we-design-power-converters-without-physical-boundaries/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230825
DTEND;VALUE=DATE:20230826
DTSTAMP:20260512T013716
CREATED:20230821T063647Z
LAST-MODIFIED:20250114T095919Z
UID:17576-1692921600-1693007999@ece.hku.hk
SUMMARY:Seminar - EdgeGPT: Towards Autonomous Edge AI
DESCRIPTION:It has been envisioned that next-generation wireless networks have to support AI as a Service (AIaaS) as a new application scenario. Leveraging proximate edge computing resources\, edge AI stands out as a promising enabler for AI-based applications on resource-constrained devices at the wireless network edge. Nevertheless\, edge AI is a complex system\, consisting of diverse devices\, heterogeneous computing platforms\, and various network infrastructures\, and thus the design process and system operation are highly complicated. This talk will introduce EdgeGPT as a new framework for autonomous edge AI\, which relies on powerful capabilities of large language models (LLMs). Basics about LLMs\, especially GPT models\, will be firstly introduced. Then it will illustrate how EdgeGPT enables automatic cooperative edge inference and automatic federated learning. \nBiography of the speaker: \nJun Zhang received his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He is an IEEE Fellow and an IEEE ComSoc Distinguished Lecturer. He is an Associate Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. His research interests include wireless communications and networking\, mobile edge computing and edge AI\, and cooperative AI. Dr. Zhang co-authored the book Fundamentals of LTE (Prentice-Hall\, 2010). He is a co-recipient of several best paper awards\, including the 2021 Best Survey Paper Award of IEEE Communications Society\, the 2019 IEEE Communications Society & Information Theory Society Joint Paper Award\, and the 2016 Marconi Prize Paper Award in Wireless Communications. Two papers he co-authored received the Young Author Best Paper Award of the IEEE Signal Processing Society in 2016 and 2018\, respectively. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Editor of IEEE Transactions on Communications\, and was an editor of IEEE Transactions on Wireless Communications (2015-2020). He served as a MAC track co-chair for IEEE Wireless Communications and Networking Conference (WCNC) 2011 and a wireless communications symposium co-chair of IEEE International Conference on Communications (ICC) 2021. \nAll are welcome.
URL:https://ece.hku.hk/events/seminar-edgegpt-towards-autonomous-edge-ai/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230823
DTEND;VALUE=DATE:20230824
DTSTAMP:20260512T013716
CREATED:20230821T083240Z
LAST-MODIFIED:20250114T095946Z
UID:17582-1692748800-1692835199@ece.hku.hk
SUMMARY:Theme-Based Research Scheme Wireless Power Transfer – The Next StageAnnual Workshop 2023
DESCRIPTION:
URL:https://ece.hku.hk/events/theme-based-research-scheme-wireless-power-transfer-the-next-stageannual-workshop-2023/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230816
DTEND;VALUE=DATE:20230817
DTSTAMP:20260512T013716
CREATED:20230810T080043Z
LAST-MODIFIED:20250114T095847Z
UID:17570-1692144000-1692230399@ece.hku.hk
SUMMARY:High-performance Perovskite Optoelectronic Devices via Defect Passivation and Potential Career Development Opportunities at Huaqiao University
DESCRIPTION:Metal halide perovskites are emerging as promising optoelectronic materials with advantages like easy solution-based fabrication\, low material cost\, high defect tolerance\, and high PLQY. The MHPs have shown great potential in applications like LEDs and solar cells. \nAs for the perovskite LEDs\, before 2016\, it was highly challenging to prepare a high-quality perovskite emitting layer by the conventional method. The as-prepared perovskite films always show too many pin-holes\, disordered lattices\, and non-radiative defects. As a result\, the corresponding device performance\, especially for the external quantum efficiency (EQE)\, is far behind organic and quantum dot LEDs. Our group has been focusing on perovskite LEDs for years. In 2018\, we prepared a quasi-core-shell structure of CsPbBr3@CH3NH3Br\, passivated the non-radiative defects\, improved the charge injection balance\, and achieved a milestone EQE of over 20%.1 In 2021\, we utilized the TFPPO to tune the crystalline dimension of 2D/3D perovskite\, reducing the defect formation and significantly improving the PLQY. As a result\, we got an impressive EQE of over 25%.2 Moreover\, we will introduce some progress about manipulating crystal growth\, regulating phase composition3\, optimizing device structure\, and lead-free perovskite-based LEDs4. \nAs for the perovskite solar cells (PSCs)\, we have been focused on preparing ultra-pure FAPbI3 active layer5\, synthesis of functional fullerene\, and the application in PSCs\, perovskite/silicon tandem solar cells. Recently\, we successfully boosted the power conversion efficiency to over 25 % with an operational lifetime of over 1\,500 h. \nIn addition to the scientific talk\, Prof. Wei will also discuss potential career development opportunities available at Huaqiao University. Specifically\, he will discuss potential recruitment in the following research directions (including but not limited to): \n\nElectroluminescent materials and devices\, such as Perovskite LED\, QLED\, and OLED.\nNovel photovoltaic materials and devices\, such as perovskite solar cells\, organic solar cells\, and other new photovoltaic devices.\nOptics and device physics and related simulation calculations.\nOther energy optoelectronic-related materials and device applications\, such as photodetectors and high-energy ray detectors.\n\nKeywords: Perovskite\, LEDs\, Solar Cells\, Defect Passivation  \nReference:  \n\nLin\, K.; Xing\, J.; Quan\, L. N.; de Arquer\, F. P. G.; Gong\, X.; Lu\, J.; Xie\, L.; Zhao\, W.; Zhang\, D.; Yan\, C.; Li\, W.; Liu\, X.; Lu\, Y.; Kirman\, J.; Sargent\, E. H.*; Xiong\, Q.*; Wei\, Z.*\, Perovskite light-emitting diodes with external quantum efficiency exceeding 20 percent. Nature 2018\, 562 (7726)\, 245-248.\nMa\, D.; Lin\, K.; Dong\, Y.; Choubisa\, H.; Proppe\, A. H.; Wu\, D.; Wang\, Y.-K.; Chen\, B.; Li\, P.; Fan\, J. Z.; Yuan\, F.; Johnston\, A.; Liu\, Y.; Kang\, Y.; Lu\, Z.-H.; Wei\, Z.*; Sargent\, E. H.*\, Distribution control enables efficient reduced-dimensional perovskite LEDs. Nature 2021\, 599 (7886)\, 594-598.\nLin\, K.; Yan\, C.; Sabatini\, R. P.; Feng\, W.; Lu\, J.; Liu\, K.; Ma\, D.; Shen\, Y.; Zhao\, Y.; Li\, M.; Tian\, C.; Xie\, L.; Sargent\, E. H. *; Wei\, Z. *\, Dual‐Phase Regulation for High‐Efficiency Perovskite Light‐Emitting Diodes. Advanced Functional Materials 2022\,\nLu\, J.; Guan\, X.; Li\, Y.; Lin\, K.; Feng\, W.; Zhao\, Y.; Yan\, C.; Li\, M.; Shen\, Y.; Qin\, X.; Wei\, Z.*\, Dendritic CsSnI3 for Efficient and Flexible Near-Infrared Perovskite Light-Emitting Diodes.  Mater. 2021\, 33 (44)\, 2104414.\nXie\, L.; Lin\, K.; Lu\, J.; Feng\, W.; Song\, P.; Yan\, C.; Liu\, K.; Shen\,L.; Tian\, C.; Wei\, Z.*\, Efficient and Stable Low-Bandgap Perovskite Solar Cells Enabled by a CsPbBr3-Cluster Assisted Bottom-up Crystallization Approach.  Am. Chem. Soc. 2019\, 141\, 20537.\n\nBiography of the speaker: \nZhanhua Wei is a full-time professor at the Institute of Luminescent Materials and Information Displays\, College of Materials Science and Engineering\, Huaqiao University\, China. He received his B.S. degree in 2011 from the Department of Chemistry\, Xiamen University\, China\, and his Ph.D. in 2015 from Prof. Shihe Yang’s group\, Department of Chemistry\, Hong Kong University of Science and Technology\, China. After postdoc research with Prof. Qihua Xiong at Nanyang Technological University\, he joined Huaqiao University as a principal investigator in May 2016. His current research focuses on perovskite light-emitting diodes\, solar cells\, and other optoelectronic materials and devices. He has published over 80 peer-reviewed papers in scientific journals like Nature\, J. Am. Chem. Soc. and Adv. Mater. \nProf. Wei is the Dean of the Institute of Luminescent Materials and Information Displays\, Vice-dean of the College of Materials Science and Engineering at Huaqiao University. \nAll are welcome.
URL:https://ece.hku.hk/events/high-performance-perovskite-optoelectronic-devices-via-defect-passivation-and-potential-career-development-opportunities-at-huaqiao-university/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20230811T143000
DTEND;TZID=Asia/Hong_Kong:20230811T160000
DTSTAMP:20260512T013716
CREATED:20250224T023233Z
LAST-MODIFIED:20250224T023321Z
UID:109896-1691764200-1691769600@ece.hku.hk
SUMMARY:Emerging opportunities in optical microresonators: fundamentals and applications
DESCRIPTION:Abstract\nLight-matter interactions are the fundamental basis for many phenomena and processes in optical devices. This talk will cover ultra-high-quality whispering-gallery-mode (WGM) optical microresonators\, which provide an unprecedented capability to trap light in a highly confined volume smaller than a strand of human hair. Light beams can travel around the boundary of a WGM resonator over 10^6 times\, significantly enhancing light-matter interactions and creating the potential for a wealth of new scientific discoveries and technological breakthroughs. High-Q microresonators and microlasers have great potential for both fundamental science and engineering applications; the choices of materials for the photonic resonators enable various opportunities for different applications. Examples range from low-threshold lasers to parity-time-symmetric resonators and their application for sensing and nonreciprocal light transmission. I will review our recent exploration non-Hermitian physics that has unravelled innovative strategies to achieve a new generation of optical systems enabling unconventional control of light flow\, such as loss engineering in a lasing system\, directional lasing emission\, and EPs enhanced sensing. I will also reveal the discovery of mechanical solitons through optomechanical effects in a microtoroid resonator.  I will conclude my talk with a new finding in EP-enhanced sensing that can expand this approach to a wide range of optical sensor systems. Our research discoveries represent a glimpse of the potential of photonic resonators; there are still many exciting opportunities by leveraging the enhanced light-matter interactions through resonant effects in the future. \nSpeaker\nProf. Lan Yang\nPreston M. Green Department of Electrical and Systems Engineering\,\nWashington University in St. Louis \nBiography of the Speaker\nProfessor Lan Yang is the Edwin H. and Florence G. Skinner professor in the Preston M. Green Department of Electrical and Systems Engineering at Washington University in St. Louis. She is also the editor-in-chief of Photonics Research. She received a B.S. from the University of Science and Technology of China and received her Ph.D. in applied physics from Caltech in 2005. Her research interests have been focusing on the fundamental understanding of light-matter interactions and their applications. She enjoys investigating physics in various types of high-quality photonic resonators and exploring their applications for sensing\, lasing\, light harvesting\, and communications. Her research in parity-time-symmetry and non-Hermitian physics in high-quality resonators have led to a series of new discoveries for unconventional control of light transport in photonic structures. Recently\, her research interests expanded to hybrid optoelectronic systems including flat optics modified CMOS imaging sensors for multimodality sensing applications. She received the NSF CAREER Award in 2010 for her work on single nanoparticle detection and sizing using an on-chip optical resonator. She also received the 2010 Presidential Early Career Award for Scientists and Engineers (PECASE). She is a Fellow of OSA (Optical Society of America)\, IEEE (Institute of Electrical and Electronics Engineers)\, APS (American Physical Society)\, and AAAS (American Association for the Advancement of Science). \nOrganiser\nFaculty of Engineering \n  \nAll are welcome.
URL:https://ece.hku.hk/events/emerging-opportunities-in-optical-microresonators-fundamentals-and-applications/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20230807T140000
DTEND;TZID=Asia/Hong_Kong:20230807T153000
DTSTAMP:20260512T013716
CREATED:20250224T023525Z
LAST-MODIFIED:20250224T024011Z
UID:109900-1691416800-1691422200@ece.hku.hk
SUMMARY:Seminar - Quantum Induced Coherence Light Detection and Ranging
DESCRIPTION:Abstract\nQuantum illumination has been proposed and demonstrated to improve the signal-to-noise ratio (SNR) in light detection and ranging (LiDAR). When relying on coincidence detection\, such a quantum LiDAR is limited by the response time of the detector and suffers from jamming noise. Inspired by the Zou-Wang-Mandel experiment\, we design\, construct and validate a quantum induced coherence (QuIC) LiDAR which is inherently immune to ambient and jamming noises. In traditional LiDAR the direct detection of the reflected probe photons suffers from deteriorating SNR for increasing background noise. In QuIC LiDAR we circumvent this obstacle by only detecting the entangled reference photons\, whose single-photon interference fringes are used to obtain the distance of the object\, while the reflected probe photons are used to erase path information of the reference photons. In consequence\, the noise accompanying the reflected probe light has no effect on the detected signal. We demonstrate such noise resilience with both LED and laser light to mimic the background noise and jamming attack. The proposed method paves a new way of battling noise in precise quantum electromagnetic sensing and ranging. \nBiography of the Speaker\nDa-Wei Wang received his Bachelor’s degree from Tongji University in 2006 and Ph.D degree in physics from the Chinese University of Hong Kong in 2012. He worked as Postdoc\, Research Assistant Professor and Research Associate Professor in Texas A&M University from 2012 to 2017\, and then joined Zhejiang University as a Professor. His research focuses in quantum simulation in atom-photon coupled systems\, and optical sensing with quantum light. He published more than 60 papers in peer reviewed journals\, including 2 Science\, 1 Nat. Phys.\, 1 Nat. Photon.\, 1 Nat. Nanotechnol. and 15 PRL papers. He was supported by NSFC Key Program and National Key Research and Development Program. \nOrganiser\nProf. Z. Chu \nAll are welcome!
URL:https://ece.hku.hk/events/seminar-quantum-induced-coherence-light-detection-and-rangingquantum-illumination-has-been-proposed-and-demonstrated-to-improve-the-signal-to-noise-ratio-snr-in-light-detection-and-ranging-lidar/
CATEGORIES:Seminar
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