Seminar

With deeper and deeper penetration of variable renewable energy sources (RES) and distributed energy resources (DER) across the world, new challenges are emerging in terms of their grid and market integration. In this lecture we will illustrate these challenges from a techno-economic perspective, with focus on security and reliability requirements when operating power systems and […]

Artificial Intelligence (AI) is catalyzing a paradigm shift in healthcare, promising to reshape the landscape of patient care. At the heart of this transformation is medical imaging, where AI-enabled technologies hold substantial promise for precise and personalized image-based diagnosis and treatment. Despite these advances, these models often underperform at real-world deployment, particularly due to the […]

Trustworthy machine learning is one of emerging and critical topics in modern machine learning, since most real-world data are easily imperfect, such as online transactions, healthcare, cyber-security, and robotics. Intuitively, trustworthy intelligent system should behave more human-like, which can learn and reason from imperfect data including labels, features, systems and prompts. Therefore, in this talk, […]

In recent years, synaptic electronic devices have gained significant attention for their applications in neural morphological computing and peripheral neural sensing simulations. It is of great significance to further enhance the functionality of these devices to replicate more complex neural transmission processes. The presenter will provide a brief overview of recent advancements in this field […]

My talk will focus on Image Quality Transfer (Alexander et al Neuroimage 2017; Tanno et al Neuroimage 2021; Lin et al ISMRM 2021), and its role in international efforts to democratize MRI expertise and capability, such as the CAMERA network https://www.medrxiv.org/content/10.1101/2022.05.02.22274588 v1.full. The technique aims to use machine learning to estimate high quality images, e.g. […]

Optical microscopy has become an indispensable tool for non-invasive, high-resolution in vivo imaging of living organisms. Its capability to provide insights into real-time physiological and pathological processes within the body underscores its significance in bioscience and medicine. However, conventional optical microscopy methods have certain limitations. For instance, multiphoton fluorescence microscopy, the method of choice for […]

In this talk, the novel concept of simultaneously transmitting and reflecting surfaces (STARS) will be introduced. First, the STAR basics will be introduced. In particular, the fundamental signal modelling, performance limit characterization, practical operating protocols, and joint beamforming design will be discussed. Then, the coupled phase-shift STAR model, AI-enabled STARS, and channel estimation methods will […]

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 Registration: https://forms.gle/UJZLhk61xLi8mDBq7 Online Registration: https://forms.gle/UJZLhk61xLi8mDBq7 Online Registration: https://forms.gle/UJZLhk61xLi8mDBq7 RSVP! Looking forward to welcoming you at the event on 23 March, 2024 (Saturday). h4, .h20240326-1{display:none;}.seminar-info { […]

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 Applications Research Lab at NTU (PEARL@NTU). The target is to facilitate large-scale integration of renewables into the grid. This includes the design of control strategies […]

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 Hong Kong, and the University of Cambridge, sponsored partly by the US National Academy of Medicine Healthy Longevity Catalyst Award 2023. You may register below: […]

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 journals diverges substantially from typical research journals, something which is often not widely known in the scientific community. In this talk, I will give an […]

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 (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 […]

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 […]