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:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230918
DTEND;VALUE=DATE:20230919
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230908
DTEND;VALUE=DATE:20230909
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230906
DTEND;VALUE=DATE:20230907
DTSTAMP:20260511T235242
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:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230829
DTEND;VALUE=DATE:20230830
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230825
DTEND;VALUE=DATE:20230826
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230823
DTEND;VALUE=DATE:20230824
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2023/08/head.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230816
DTEND;VALUE=DATE:20230817
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20230811T143000
DTEND;TZID=Asia/Hong_Kong:20230811T160000
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20230807T140000
DTEND;TZID=Asia/Hong_Kong:20230807T153000
DTSTAMP:20260511T235242
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20230803T111500
DTEND;TZID=Asia/Hong_Kong:20230803T130000
DTSTAMP:20260511T235242
CREATED:20250224T023748Z
LAST-MODIFIED:20250224T023748Z
UID:109902-1691061300-1691067600@ece.hku.hk
SUMMARY:Seminar - Qusai-Single-Stage Current Fed Resonant AC-DC Converter Having Improved Heat Distribution
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/94898976823?pwd=K1NlUldEZUtzOGlqbUtzUDlZMjNHQT09\nMeeting ID: 948 9897 6823\nPassword: 03082023 \nAbstract\nIn the seminar\, I will present one of my previously published works. This work presents a quasi-single-stage current-fed resonant ac-dc converter having improved heat distribution. Secondary-side switches are turned off with a voltage close to zero at high instantaneous power and with a voltage close to half of the output voltage at low instantaneous power. Switching losses at the primary-side bottom switches are reduced; this change improves the heat distribution over the switches. The primary-side duty-cycle fixed at 0.5 results in negligible input current ripple; this trait can significantly reduce the size of the filter inductor at the grid side. Experimental results show the effectiveness of the proposed ac-dc converter and its improved heat distribution against a conventional solution. \nBiography of the Speaker\nWaqar Uddin was born in Upper Dir\, Khyber Pakhtunkhwa\, Pakistan in 1989. He received his B.S. degree in Electrical Power Engineering from COMSATS University Islamabad\, Pakistan in 2013\, and his Ph.D. degree in 2020 from Pusan National University\, Busan\, South Korea. \nHe worked as a Postdoctoral Researcher at Dongguk University\, Seoul\, South Korea in 2020/2021. He also worked as a Lecturer at the University of Management & Technology\, Lahore Pakistan from 2016 to 2018. Currently\, he is with the National University of Technology (NUTECH)\, Islamabad\, Pakistan\, where he serves as an Assistant Professor. \nHe has published 60 research and review articles in reputable journals and international conferences with a cumulative impact factor of 170+.  His work has been cited 1300+ times having an h-index of 19 and an i-10 index of 28 according to google scholar. \nHis research interests include power converters design and control\, grid-connected converters\, electric drives\, and integration of renewable energies into the grid.
URL:https://ece.hku.hk/events/seminar-qusai-single-stage-current-fed-resonant-ac-dc-converter-having-improved-heat-distribution-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
END:VCALENDAR