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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.16.0//NONSGML v1.0//EN
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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
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BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240517T100000
DTEND;TZID=Asia/Hong_Kong:20240517T110000
DTSTAMP:20260512T175221
CREATED:20240510T012737Z
LAST-MODIFIED:20250114T063205Z
UID:18502-1715940000-1715943600@ece.hku.hk
SUMMARY:RPG Seminar – Manipulating Light Scattering at the Nanoscale by Metasurface
DESCRIPTION:Abstract\nLight scattering is a fundamental optical process that accounts for many optical phenomena and applications. This process comes from the interaction between light and scattering particles\, or scatters. It greatly depends on parameters such as the scatters’ shapes and refractive index\, the polarization and wavelength of light. We will show that by arranging the specially designed nano scatters on a flat surface to form a metasurface\, the output light field can be manipulated at the nanoscale\, which will lead to many promising applications. \nTwo main topics will be discussed in this seminar. The first topic relates to tri-channel metalenses. Since it is difficult to encode three independent phase information at single-pixel or single-cell level\, most current designs use spatial multiplexing strategies including segmentation\, interleaving and multilayer integration\, which would result in large unit pixel sizes and limited performances. In this seminar\, we will present a single-celled design method to achieve tri-functional metalenses. Another topic relates to broadband antireflection by metasurfaces. We have proposed a quasi-random design method\, and developed a high-throughput nanofabrication method to fabricate the metasurfaces. \nSpeaker\nMr. Xudong GUO\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Xudong GUO received the B.Eng. degree in Optoelectronic Information Science and Engineering from Changchun University of Science and Technology\, Changchun\, in 2018. He is currently working toward the Ph.D. degree in electrical and electronic engineering with the Department of Electrical and Electronic Engineering\, The University of Hong Kong\, Hong Kong. His research interests include metasurface\, holography and imaging. \nOrganizer\nProf. Kenneth K. Y. WONG
URL:https://ece.hku.hk/events/20240517-2/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240517T110000
DTEND;TZID=Asia/Hong_Kong:20240517T120000
DTSTAMP:20260512T175221
CREATED:20240510T040913Z
LAST-MODIFIED:20250114T063123Z
UID:18504-1715943600-1715947200@ece.hku.hk
SUMMARY:RPG Seminar – Scalable Optical Neural Network Based on Parametric Process
DESCRIPTION:Abstract\nIn the past decades\, with the rapidly increasing data\, AI technology\, including neural network (NN) shows more and more powerful ability. However\, the development of electronic hardware meets a dilemma because of the physical limitation\, which restricts the computation performance growth of NN. Thus\, developing the next-generation computation platform for NN is necessary. Since the optical system can also provide the solution to carry and process the information\, optical neural network (ONN) is developed\, and it shows high energy efficiency\, low crosstalk\, low latency\, and massive parallelism computation. Most ONNs are realized by direct spatial manipulation and observation with digital micromirror device\, spatial light modulator\, and camera. But those items can only provide a frame rate of several kHz\, which will limit the computation speed of ONN. \nThanks to the development of high-speed optical communication system\, superior optical manipulation and observation methods are available. The mode-locked laser can achieve ultrawide bandwidth for spectral encoding. By achieving wavelength-to-time mapping with temporal dispersion\, time-stretch method or we also called it as dispersive Fourier transform can be utilized for high-frame rate spectrum observation\, which is widely applied in microscopy\, and soliton dynamics observation. Here\, we applied to our ONN to achieve high computation frame rate. \nSpeaker\nMr. Xin DONG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Xin DONG received the B.S. degree and the master’s degree from the Huazhong University of Science and Technology (HUST)\, Wuhan\, China\, in 2016 and 2019. He worked as a Research Scientist with the Wuhan National Laboratory for Optoelectronics\, and School of Optical and Electronic Information\, HUST from 2019 to 2020. He is currently a Ph.D. Candidate at the Department of Electrical and Electronic Engineering\, University of Hong Kong\, Hong Kong\, China. His research interests include fiber nonlinearities\, ultrafast spectroscopy\, fluorescence imaging\, structure illumination and optical neural network. \nOrganizer\nProf. Kenneth K. Y. WONG \nAll are welcome.
URL:https://ece.hku.hk/events/20240517-4/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240517T140000
DTEND;TZID=Asia/Hong_Kong:20240517T150000
DTSTAMP:20260512T175221
CREATED:20240510T013911Z
LAST-MODIFIED:20250114T063038Z
UID:18503-1715954400-1715958000@ece.hku.hk
SUMMARY:RPG Seminar – Trajectory Inference of T-Cell Activation from Label-free Single-cell Biophysical Morphologies with StaVia
DESCRIPTION:Abstract:\nBlood analysis is an indispensable clinical tool for human health and diseases. Specifically\, the overarching challenge in characterization of blood\, notably immune cells\, is to identify the cellular phenotypes at the single-cell precision to dissect the complex functional roles of different cell types/states. Strategies for phenotyping immune cells enable biological discovery and shed light on the immune system’s intricate mechanisms and the enormous heterogeneity of hematopoiesis. They are instrumental in the quality assessment and control of emerging immunotherapy methods. \nOften overlooked are the biophysical properties of the immune cell\, which simultaneously impact and are affected by its molecular signature. Defining biophysical markers\, which are label-free in nature\, could overcome the issues of scale and cost of analyzing numerous single cells. However\, deep biophysical profiling of single-cell requires both high-throughput and high-content that are not achievable or affordable with current technologies. Here we present a single-cell image-based trajectory inference strategy for tracking human T-cell activation based on the label-free biophysical morphology of T-cells. \nWe used our recently developed ultra-large-scale label-free imaging technology (up to 100\,000 cells/sec)\, multi-ATOM\, to extract high-resolution quantitative morphological and biophysical features (e.g. cell size\, shape\, dry mass density\, subcellular distributions) from the single-cell images. This is integrated with our unsupervised trajectory inference method StaVia to parameterize the morphology of each T-cell into a high-dimensional feature profile (> 90 dimensions) in order to uncover cellular dynamics of the underlying T-cell activation. We demonstrate that the integration of StaVia with multi-ATOM-derived single cells biophysical profiles reveal not only the overall T-cell activation process but also the subtle distinct morphological changes of CD4+ and CD8+ T-cells activations. We anticipate this work could spearhead further research in employing single-cell biophysical phenotypes as effective surrogate biomarkers of immune cell profiling in health and disease. Ultimately\, it could potentially inspire new cost-effective clinical diagnostic strategies in monitoring various immune-related disease/treatment progression. \nSpeaker\nMr. Kobashi MINATO\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker\nMr. Kobashi MINATO received his BEng degree in biological Engineering at The Hong Kong University of Science and Technology in 2022. He is currently a MPhil student supervised by Prof. Kevin K.M. Tsia in the department of electrical and electronic engineering. His research interest resides in the field of biomedical engineering and focusing on the analysis of biological data. \nOrganizer\nProf. Kevin K.M. TSIA\n \nAll are welcome.
URL:https://ece.hku.hk/events/20240517-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240517T150000
DTEND;TZID=Asia/Hong_Kong:20240517T160000
DTSTAMP:20260512T175221
CREATED:20240418T012121Z
LAST-MODIFIED:20250114T062952Z
UID:18278-1715958000-1715961600@ece.hku.hk
SUMMARY:RPG Seminar – A Multi-Agent and Self-Adaptive Framework for Portfolio Management in Computational Finance
DESCRIPTION:Abstract:\nFinancial portfolio management (PM) is a very important topic in computational finance\, with its primary objective of achieving higher returns while reducing investment risks through dynamically allocating capital to different assets in a portfolio. Recently\, deep or reinforcement learning(DL/RL)-based PM approaches have been applied to capture the valuable opportunities from the underlying financial market yet the trade-off between returns and risks is definitely a great challenge. Accordingly\, this talk will consider the newly proposed Multi-Agent and Self-Adaptive (MASA) framework to dynamically balance the long-term portfolio profits and potential short-term risks. Through the close cooperation between the RL-based agent and solver-based agent\, the MASA framework continuously learns the profitable patterns of stock data from the concerned financial market\, monitors the current trends of financial markets\, and carefully evaluates the future risk exposures such that the newly balanced investment portfolios can adapt to the highly turbulent trading environments. Furthermore\, due to the high flexibility of the MASA framework\, its agent can be adaptively adjusted to satisfy a diversity of trading constraints and investor preferences. The reported results demonstrate the great potential of the proposed framework on PM tasks in various financial markets. Beyond the DL/RL-based PM approaches\, this talk will also introduce two novel meta-heuristic algorithms for solving continuous optimization problems with complex natures. The case studies show the significant advantages of the proposed algorithms on optimizing large-scale financial portfolios in such ever-changing financial markets. Most importantly\, the proposed frameworks shed light on many possible applications in computation finance like pair trading\, orderbook trading\, multi-factor model optimization\, etc. \nSpeaker: Mr. Zhenglong LI\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nBiography of the speaker:\nMr. Zhenglong LI received the B.Eng. degree in Electronic Information Science and Technology and B.Econ. degree in Financial Engineering both from Jinan University\, and the M.S. degree in Electrical and Electronics Engineering from the University of Hong Kong. He is currently pursuing the Ph.D degree with the Department of Electrical and Electronic Engineering at the University of Hong Kong\, under the supervision of Dr. Vincent Tam and Prof. Lawrence Yeung. His research interest lies in computational finance including portfolio optimization\, risk management\, pair trading\, and financial sentiment analysis. \nOrganizer:\nDr. Vincent TAM
URL:https://ece.hku.hk/events/20240517-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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