Seminar

Abstract: With 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 […]

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Speaker Prof. Cheng-Wei QIU Department of Electrical and Computer Engineering, National University of Singapore Abstract In this talk, the recent progress on how chirality could transcend designs of advanced metasurfaces, sensing, BIC photonics and optical micromanipulations will be presented. In particular, recent results will be reported on the realization of intrinsic chiral metasurfaces where the […]

Speaker: Mr. Pang Hongliang Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: Wireless power transfer (WPT) has emerged as a significant technology in modern automation applications. It offers advantages such as reduced installation workload, enhanced flexibility, and mobility while eliminating wear and tear associated with traditional power supply cables. In the […]

Abstract: Optical microscopy has become an indispensable tool for biomedical research, owing to its noninvasive nature and subcellular resolution. However, current techniques require further refinement to accurately capture the complexity of living biological systems. In this talk, I will describe how we integrate ideas from astronomy, optics, and computation to address challenges in in vivo imaging. By […]

Abstract: The rise of data-driven methods in robotics has significantly enhanced a robot's capacity for perception, reasoning, and acting. However, the challenge and expense of collecting a diverse dataset with robots prevent learning control policies that are generalizable across various settings and tasks. Alternatively, while data sources like videos and robot play data are scalable, […]

Speaker Dr. Shaohua MA Associate Professor, Institute of Biopharmaceutical and Health Engineering (iBHE), Tsinghua Shenzhen International Graduate School (SIGS) Abstract Organoids are three-dimensional micro-replicas of human organs in of human organs in either physiological or pathological states. Organoids are expected to provide personalised drug treatment choices by assessing drug efficacy and toxicity in efficacy and […]

Abstract: In the rapidly evolving field of generative artificial intelligence (GenAI) and AI-generated content (AIGC) services, generative diffusion models (GDMs) have garnered widespread attention due to their extensive application and exceptional performance, supporting a series of applications such as Stable Diffusion, Sora, and others. Despite their success, the deployment of GDMs faces significant challenges, particularly […]

Abstract: In healthcare, the exponential growth of artificial Intelligence (AI) has led to the development of numerous advanced AI models for disease diagnosis and lesion segmentation, etc. Despite these advancements, the question arises: Have AI models truly simplified healthcare? In this talk, I will share my thinking on this question, and present my research aimed […]

Abstract: We are witnessing an exponential growth of the impact of small-scale robotics in recent years. These tiny robots have a characteristic length from several millimetres down to hundreds of nanometers. This extreme miniaturization enables these robots to access constrained space buried deep inside human body, where conventional devices couldn’t reach, and thus it dramatically […]

Abstract: Uncertainty quantification plays a crucial role in electromagnetic compatibility and inference (EMC/EMI) in the field. Traditionally, methods such as the Monte Carlo method, stochastic Galerkin method, stochastic collocation, and linear regression have been developed to tackle the challenges of uncertainty quantification (UQ) problems. However, these methods often face the issue of curse of dimensionality. […]

Abstract: The conventional GaN microdisk laser provides poor overlap between the whispering gallery modes (WGM) and the multi-quantum well (MQW) gain region. The thin-film microdisk structure was proposed to overcome this shortcoming, but the absorptive nature of the metallic bonding layer cum mirror compromises optical confinement. In this work, a dielectric distributed Bragg reflector (DBR) […]

Speaker: Mr. Zhenrong LIU Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: Deep neural networks require the ability to continually learn and adapt to real-world conditions. This ability, called "continual learning," is essential for AI systems to evolve. Among various representative continual learning methods, null-space-projection-based algorithms have attracted considerable research interest […]

Speaker: Mr. Lin Qingfeng Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: A great amount of endeavour has recently been devoted to device activity detection in massive machine-type communications. This seminar targets at a practical issue: communication-efficient joint signal compression and activity detection in cell-free massive MIMO with capacity-limited fronthauls. To […]

Speaker: Mr. Wang Renxian Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: Ultrasound localization microscopy (ULM) has emerged as an unprecedented noninvasive microvascular imaging technique that breaks the acoustic diffraction limit. However, current ULM workflow relies significantly on prior knowledge, including the impulse response and empirical parameters (e.g., the number of […]

Meeting ID: 972 6774 1607 Abstract: The robotics industry has manufactured multiple successful robots that are deployed in various domains and have been playing a significant role in the modern economy. How to efficiently build, train and deploy different robots with improved cost and operational safety in diverse tasks in a scalable way? I argue that […]

Meeting ID: 957 7820 8166 Password: 631839 Speaker: Mr. Weibin KOU Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: In this seminar, I will present the application of hierarchical federated learning (HFL) to address challenges in two distinct domains: autonomous driving and construction quality defect inspection. For autonomous driving, we introduce […]

Abstract: Enormous amounts of data are generated by billions of edge devices in mobile networks. Distributed data analytics can support a broad range of mobile applications, from edge AI to IoT sensing. Enabling such analytics while improving its effectiveness has triggered a paradigm shift from separated optimization between communication techniques and computation algorithms to a […]

Abstract: Although considerable progress has been obtained in neural network quantization for efficient inference, existing methods are not scalable to heterogeneous devices as one dedicated model needs to be trained, transmitted, and stored for one specific hardware setting, incurring considerable costs in model training and maintenance. In this seminar, we study a new vertical-layered representation […]

Meeting ID: 958 6149 4641 Password: 505358 Abstract: Recent advances in medical image segmentation models combine convolution with the attention mechanism which provides an effective approach to formulate long-term dependencies. However, many works either replaced the convolutional layers with attention layers or embedded attention layers into convolutional neural network (CNN)-based models. To explore the potential […]