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May we draw your attention to the following AI for Social Good evening event by HKU-AI WiSe, Faculty of Engineering, the University of Hong Kong, partly funded by RGC-TRS. Online […]
Speaker Prof. Josep POU School of Electrical & Electronic Engineering, Nanyang Technological University (NTU), Singapore Abstract This presentation will introduce some of the research developed in the Power Electronics and […]
May we draw your attention to the following AI for Social Good event co-organized by HKU-AI WiSe and HKU-Cambridge AI for Neuro-disease Research Platform, Faculty of Engineering, the University of […]
Abstract: Review and Perspective articles play a pivotal role in synthesizing, contextualizing, and critically analyzing the state of knowledge on timely research topics. Notably, the editorial process at Nature Reviews […]
Speaker Mr. Lewei HE Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract Matrix-vector multiplication (MVM) is a foundational operation within the architecture of deep neural networks […]
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 […]
For more details, please visit the event website: https://hku.welight.fun/events h4, .h20240408-1{display:none;}.seminar-info { display: none; }
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, […]
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. […]
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 […]
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 […]
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 […]
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 […]
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, […]
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]