Events

Empowering Deep Modeling of 3D Geometry Data: From Representation, Learning Process, to Loss Function” conducted by Dr Hou Junhui from City University of Hong Kong

Date: 18 December 2024 (Wednesday) Time: 10:00am – 11:30am Venue: CD634,  The Hong Kong Polytechnic University Contact person: Dr Wang Yi (yi-eie.wang@polyu.edu.hk) or Prof. Chau Lap Pui (lap-pui.chau@polyu.edu.hk)  

Seminar on "From Networked Multi-Agent System to Physical Traffic Computing" by Dr. Kai Fung Chu

Date: 13 December 2024, Friday Time: 4:30pm Venue: CD 634, The Hong Kong Polytechnic University Zoom Meeting ID: 383 735 6917 Password: 270831 Speaker: Dr. Kai Fung Chu, University of Cambridge, UK   From Networked Multi-Agent System to Physical Traffic Computing Dr. Kai Fung Chu, University of Cambridge, UK   Abstract: The capabilities of multi-agent systems are influenced by their underlying network dynamics. Computational intelligence plays a pivotal role in enhancing their performance by reconfiguring the networks, yet it often depends on computation resources in centralized or decentralized devices. Addressing the computational resource constraints could significantly scale up a multi-agent system. In this talk, I will first present how to control the network dynamics for collective goals by showing my research works that exemplify the network reconfiguration process. Then, I will present how an alternative computation resource could be induced by the intrinsic dynamics within a mobile multi-agent system, supported by concrete examples. Finally, I will discuss future research directions in harnessing dynamics-induced computation resources of multi-agent systems.   Speaker’s Bio:Kai-Fung Chu is a Marie Skłodowska-Curie Fellow in the Department of Engineering, University of Cambridge. He received the Ph.D. degree in Electrical and Electronic Engineering from The University of Hong Kong, and the M.Sc. (Distinction) and B.Eng. (First Class Honors) degrees in Electronic and Information Engineering from The Hong Kong Polytechnic University. Prior to joining the University of Cambridge, he was a Research Assistant Professor at the Department of Computing, The Hong Kong Polytechnic University, and a Research Fellow of the School of Aerospace, Transport and Manufacturing, Cranfield University. He also worked in the industry as an engineer for several years. His research interests include multi-agent systems, mobile robots, autonomous vehicles, and intelligent transportation systems.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

PolyU signs Memorandum of Understanding (MoU) with CLP Power

The Hong Kong Polytechnic University (PolyU) and CLP Power Hong Kong Limited signed a MoU on 11 December 2024. Witnessed by Prof. Christopher Chao, Vice President (Research and Innovation) of PolyU, and Mr Joseph Law, Managing Director of CLP Power, the MoU was signed by Prof. Chung Chi-yung, Head of the Department of Electrical and Electronic Engineering (EEE), Chair Professor of Power Systems Engineering, and Director of the Research Centre for Grid Modernisation, along with Mr Paul Tomlinson, Chief Operations and Transformation Officer of CLP Power. This collaboration marks a significant step for PolyU and CLP Power in advancing education and fostering innovative research in electrical engineering. Both parties will leverage cutting-edge technologies, including the metaverse, immersive virtual environments, virtual reality, and augmented reality, to develop innovative digital training and learning materials for students and the industry. EEE students will have the opportunity to experience the real working environment of the power industry, enhancing their integrated skills in both theory and practice, while also exploring opportunities for academic and research collaboration.

Seminar on "Comprehensive Analysis Framework for DC Electrical Networks: Evaluating Existence, Algorithm Convergence, Stability of Equilibrium" by Miss Zhenxi Wu

Date: 6 December 2024, Friday Time: 4:30pm Venue: YEUNG-B5311, City University of Hong Kong Zoom Meeting ID: 859 2865 1236 Password: 123456 Speaker: Miss Zhenxi Wu, City University of Hong Kong   Comprehensive Analysis Framework for DC Electrical Networks: Evaluating Existence, Algorithm Convergence, Stability of Equilibrium Miss Zhenxi Wu, City University of Hong Kong   Abstract: Stability analysis programs are essential tools for power system planning and operations engineers, allowing them to forecast the system’s response to various disturbances. The outcomes of these stability studies inform critical conclusions and decisions. In this talk, we will present a comprehensive analysis framework to guarantee the correct operation of DC electrical network with large-scale renewable distributed generators (DGs) and constant power loads (CPLs). In addition to an overview, new results are offered. Firstly, analytical solvability conditions based on fixed point theorems for the power flow equation are given and compared, and the strongest analytical solvability condition is presented. Secondly, we obtain the convergence condition about the initial iterative value of Newton-Raphson method for power flow calculations. Thirdly, we extract the intrinsic characteristics of the Jacobian Matrix of the DC electrical network and derive the sufficient local stability conditions. Finally, we propose an algorithm of ROA estimation with less computations and complexity to analyze the transient stability of the system. Speaker’s Bio: Zhenxi Wu received the B.Eng. degree in electrical engineering and automation from Central South University, Changsha, China, in 2020. She is currently pursuing the Ph.D. degree with the Department of Electrical Engineering, City University of Hong Kong and the Ph.D. degree in control science and engineering, Central South University. Her current research interests include stability analysis of power electronic-based power systems and control of power electronics converters. WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/    

PolyU and CSG Memorandum of Understanding Signing Ceremony

PolyU and China Southern Power Grid Company (CSG) signed a Memorandum of Understanding (MoU) on 5 December 2024 to establish a strategic collaboration to support energy development and green transition in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Before the signing ceremony, the PolyU and CSG visited the Electric Vehicle (EV) Laboratory in the Department of Electrical and Electronic Engineering (EEE), showcasing the latest developments and applications in EV technology. Following this, the signing ceremony commenced. In the presence of Prof. Christopher CHAO, Vice President (Research and Innovation) of PolyU, Mr LIU Qihong, Director and Deputy Party Secretary of CSG, the signing was conducted by Prof. Chung Chi-yung, Head of PolyU EEE and Mr ZHAN Xiaohui, Assistant to General Manager and Director of Human Resources.   The collaboration will focus on talent development, technological innovation, knowledge exchange and educational resource sharing. Looking ahead, PolyU and CSG will deepen their cooperation in low-carbon energy innovation and new power system construction, striving to position the GBA as a global leader in green innovation and development.

Seminar on "Uncovering the Iceberg in the Sea: Fundamentals of Modulation and Pulse Shaping Design for Random ISAC Signals" by Prof. Fan Liu

Date: 29 November 2024, Friday Time: 4:30pm Venue: CD 634, The Hong Kong Polytechnic University Zoom Meeting ID: 820 0818 3929 Password: 175578 Speaker: Prof. Fan Liu, Southeast University, Nanjing   Uncovering the Iceberg in the Sea: Fundamentals of Modulation and Pulse Shaping Design for Random ISAC Signals Prof. Fan Liu, Southeast University, Nanjing   Abstract:Integrated Sensing and Communications (ISAC) is expected to play a pivotal role in future 6G networks. To maximize time-frequency resource utilization, 6G ISAC systems must exploit data payload signals, that are inherently random, for both communication and sensing tasks. In this talk, we provide a comprehensive analysis of the sensing performance of such communication-centric ISAC signals, with a focus on modulation and pulse shaping design to reshape the statistical properties of their auto-correlation functions (ACFs), thereby improving the target ranging performance. We derive a closed-form expression for the expectation of the squared ACF of random ISAC signals, considering arbitrary modulation bases and constellation mappings within the Nyquist pulse shaping framework. We will first theoretically prove the optimality of OFDM as a modulation basis for random ISAC signals, in the sense that it achieves the lowest ranging sidelobe level among all orthogonal communication waveforms. Then, we show that the ACF of pulse-shaped ISAC signal may be metaphorically described as an iceberg hidden in the sea structure, where the iceberg represents the squared mean of the ACF of random ISAC signals, that is determined by the pulse shaping filter, and the sea level characterizes the corresponding variance, and account for the randomness of the data payload. Building on these insights, we propose a novel Nyquist pulse shaping design to enhance the sensing performance of random ISAC signals. Finally, we conclude the talk by identifying a number of future research directions.   Speaker’s Bio: Fan Liu (Senior Member, IEEE) is currently a Professor with the School of Information Science and Engineering, Southeast University, Nanjing, China. Prior to that, he was an Assistant Professor with the Southern University of Science and Technology, Shenzhen, China, from 2020 to 2024. Dr. Liu’s research interests lie in the general area of signal processing and wireless communications, and in particular in the area of Integrated Sensing and Communications (ISAC). He was listed among the 2023 Elsevier Highly-Cited Chinese Researchers. He was the recipient of the 2024 IEEE ComSoc Asia-Pacific Outstanding Paper Award, 2023 IEEE ComSoc Stephan O. Rice Prize, 2021 IEEE SPS Young Author Best Paper Award, and 2023 IEEE ICC Best Paper Award. He is the founding Academic Chair of the IEEE ComSoc ISAC Emerging Technology Initiative (ISAC-ETI), an elected member of the IEEE SPS Sensor Array and Multichannel Technical Committee (SAM-TC), a founding member of the IEEE SPS ISAC Technical Working Group (ISAC-TWG). He also serves as an Associate Editor of the IEEE TCOM, IEEE TMC, and IEEE OJSP, a Guest Editor of the IEEE JSAC, IEEE WCM, and IEEE VTM, and was an Associate Editor of the IEEE COMML (2020-2024).   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

Seminar on "Mode Interactions and their Applications in Nanophotonic Devices" by Prof Qinghai SONG

Date: 29 November 2024, Friday Time: 3:30pm Venue: DE309, The Hong Kong Polytechnic University Speaker: Prof Qinghai SONG, Harbin Institute of Technology (HIT), Shenzhen

EEE Career Talks – 6 to 28 November 2024

The Department invited the following leading companies from the electrical and electronic engineering fields to conduct a series of career talks for our undergraduate students in 2024/25 Semester 1. CLP Power Hong Kong Limited Electrical and Mechanical Services Department, HKSAR HK Electric Jardine Engineering Corporation Apart from introducing their organizations and job opportunities, EEE alumni and graduate trainees from these companies also shared their working experiences with students, providing valuable insight for their future career development.

Seminar on "How Collective Intelligence Emerges in a Crowd of People Through Learned Division of Labor" by Prof. Hongwei Zhang

Date: 22 November 2024, Friday Time: 4:30pm Venue: YEUNG-B5311, City University of Hong Kong Zoom Meeting ID: 859 2865 1236 Password: 123456 Speaker: Prof. Hongwei Zhang, Harbin Institute of Technology, Shenzhen   How Collective Intelligence Emerges in a Crowd of People Through Learned Division of Labor Prof. Hongwei Zhang, Harbin Institute of Technology, Shenzhen   Abstract: In this talk, we will investigate the factors fostering collective intelligence (CI) through a case study of LinYi’s Experiment, where over 2000 human players collectively controll an avatar car. By conducting theoretical analysis and replicating observed behaviors through numerical simulations, we show how self-organized division of labor among individuals fosters the emergence of CI and identify two essential conditions fostering CI by formulating this problem into a stability problem of a Markov Jump Linear System. These conditions, independent of external stimulus, emphasize the importance of both elite and common players in fostering CI. Additionally, we propose an index for emergence of CI and a distributed method for estimating joint actions, enabling individuals to learn their optimal social roles without global information of the whole crowd. Speaker’s Bio: Hongwei Zhang received the Ph.D. degree in mechanical and automation engineering from the Chinese University of Hong Kong in 2010. Subsequently, he held postdoctoral positions at the University of Texas at Arlington and the City University of Hong Kong. He held a professorship at Southwest Jiaotong University from 2012 to 2020, and then joined Harbin Institute of Technology, Shenzhen, China in 2020 as a Professor. His research interests include cooperative control of multi-agent systems, distributed control of microgrids, and active noise control. He is an Associate Editor of Neurocomputing.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/    

Seminar on "Lifting for Nonlinear Systems and Model Predictive Control" by Prof. Yutaka Yamamoto

Date: 15 November 2024, Friday Time: 4:30pm Venue: YEUNG-B5311, City University of Hong Kong Zoom Meeting ID: 859 2865 1236 Password: 123456 Speaker: Prof. Yutaka Yamamoto, Kyoto University, Japan   Lifting for Nonlinear Systems and Model Predictive Control Prof. Yutaka Yamamoto, Kyoto University, Japan   Abstract:It is well recognized that the lifting technique has played a crucial role in modernizing the theory of sampled-data control. Unfortunately, this superb idea does not easily carry over to the nonlinear systems due to the outputs depending nonlinealy both on inputs and states. This talk intends to circumvent this difficulty by lifting even the state trajectories. While this can induce some difficulties, it still helps us to formalize nonlinear sampled-data control systems while maintaining intersample behavior - same advantage enjoyed in linear systems. We will give fast-sample/fast-hold approximation formulas to take care of computational difficulties, and then apply it to model predictive control. Simulation results show that the proposed method exhibits an advantage in controlling the intersample behavior over the normal model predictive control focused on sample-point behavior.   Speaker’s Bio:Yutaka Yamamoto received his B.S. and M.S. degrees in engineering from Kyoto University, Kyoto, Japan in 1972 and 1974, respectively, and the M.S. and Ph.D. degree in mathematics from the University of Florida, in 1976 and 1978, respectively. From 1978 to 1987 he was with Department of Applied Mathematics and Physics, Kyoto University. In 1987 he joined the Department of Applied Systems Science as an Associate Professor, and became a professor in 1997. He had been a professor at the Department of Applied Analysis and Complex Dynamical Systems, Graduate School of Informatics of Kyoto University until 2015. He is now Professor Emeritus of Kyoto University. His research and teaching interests are in realization and robust control of distributed parameter systems, learning control systems, and sampled-data systems, its application to digital signal processing, with emphasis on sound and image processing.   He received Sawaragi memorial paper award in 1985, outstanding paper award of SICE in 1987 and in 1997, the best author award of SICE in 1990 and in 2000, the George S. Axelby Outstanding Paper Award in 1996, and the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Prizes for Science of Technology in 2007. He received the IEEE Control Systems Society Distinguished Member Award in 2009, and the Transition to Practice Award of the Control Systems Society in 2012, as well as the ISCIE Best Industrial Paper Award in 2009. He received the Tateishi Prize of the Tateishi Science and Technology Foundation in 2015. He is a Fellow of the IEEE, IFAC and SICE.   He served as President of the IEEE Control Systems Society for 2013. He served as vice President for Technical Activities of the CSS for 2005-2006, and as vice President for Publication Activities for 2007-2008. He was an associate editor of the IEEE Transactions on Automatic Control, Automatica, Systems and Control Letters, Mathematics of Control, Signals and Systems. He served as a Senior Editor for the IEEE Transactions on Automatic Control for 2010-2011. He also served as an organizing committee member of 35th CDC in 1996, MTNS91 in Kobe, and as a member of program committees of several CDC’s. He was the chair of the Steering Committee of MTNS, served as General Chair of MTNS 2006. He is a past President of ISCIE of Japan.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/