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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
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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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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240405T140000
DTEND;TZID=Asia/Hong_Kong:20240405T150000
DTSTAMP:20260513T011631
CREATED:20240321T081304Z
LAST-MODIFIED:20250114T065546Z
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SUMMARY:RPG Seminar – Diffractive Neural Network Realized by Surface Acoustic Wave System
DESCRIPTION:Speaker\nMr. Lewei HE\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAbstract\nMatrix-vector multiplication (MVM) is a foundational operation within the architecture of deep neural networks (DNNs)\, critical for the propagation of information between layers and the overall function of the network. Recent advances in computational methodologies have sought to enhance the efficiency of MVM operations\, thereby improving the performance and applicability of DNNs across a spectrum of tasks. One innovative approach to calculate MVM is the utilization of the diffraction process inherent in wave dynamics\, which shares a mathematical resemblance with the operations of MVM.  This conceptual convergence has led to the development of diffractive neural networks\, a novel class of computational systems that employ diffraction phenomena for the execution of MVM tasks. The most common physics system to realize diffractive neural network is optical system suffering the problem of integrated on chip level. Here we propose a novel way of realizing diffractive neural network by surface acoustic wave with high integration level. The seminar will discuss the simulation method of surface acoustic wave diffractive system based on COMSOL. Additionally\, it will illustrate the difference between algorithm of diffractive neural network and tradition neural network. \nBiography of the speaker\nMr. Lewei HE is currently pursuing the MPhil Degree with the Department of Electrical and Electronic Engineering\, The University of Hong Kong (HKU). His research interests focus on simulation of diffractive surface acoustic wave system and algorithm of diffractive neural network. \nOrganizer\nProf. Shiming ZHANG
URL:https://ece.hku.hk/events/20240405-1/
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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DTSTART;TZID=Asia/Hong_Kong:20240405T140000
DTEND;TZID=Asia/Hong_Kong:20240405T150000
DTSTAMP:20260513T011631
CREATED:20240327T032308Z
LAST-MODIFIED:20250114T065627Z
UID:18175-1712325600-1712329200@ece.hku.hk
SUMMARY:RPG Seminar – Novel Approaches of Load Redistribution Attacks in Cyber-Physical Power Systems
DESCRIPTION:Abstract:\nWith the increasing integration of renewable energy and related communication technology\, ensuring the cyber-physical security of power systems has become crucial for national industries. In recent times\, hackers have employed load redistribution attacks (LRAs) to evade bad data detection (BDD) systems and manipulate operator actions. In this seminar\, we will discuss innovative LRA approaches in cyber-physical power systems. Firstly\, instead of raising system costs\, we change the LRA’s objective to compromise nodal voltage at specific target locations. Next\, we examine the feasibility of false data injection attacks (FDIAs). Generally\, it is unrealistic for hackers to gain access to network admittance information. To address this\, we create a sequential LRA strategy and estimate the power transfer distribution factor (PTDF) matrix\, allowing for a concealed attack without requiring network admittance knowledge. Lastly\, we expand LRAs to power systems with significant electric vehicle (EV) penetration. We propose a new LRA technique to influence electricity prices in both transmission and distribution networks\, leading to simultaneous charging behavior of EVs and resulting in a load spike during peak hours. \nBiography of the speaker:\nMr. Zelin Liu received his B.Eng. degree in electrical engineering and automation from Zhejiang University and his M.Eng. in electrical engineering from the University of Southern California. Currently\, he is pursuing his Ph.D. in the Department of Electrical and Electronic Engineering at the University of Hong Kong. His primary research interests are power system false data injection attacks and related cyber-physical topics in power systems. \nOrganizer: Prof. Tao LIU
URL:https://ece.hku.hk/events/20240405-2/
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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