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Quantitative phase and polarization microscope (QPPI) is a useful label-free microscopic tool in revealing the quantitative biophysical information of cells, such as cell shape, dry mass and their subcellular distribution. […]
Optimization problems subject to hard constraints are common in time-critical applications such as autonomous driving and wireless communication. However, existing iterative solvers often face difficulties in solving these problems in […]
Since 2019, reconfigurable intelligent surface (RIS) has attracted a lot of interests from both academia and industry. In this talk, Professor Jie Zhang will first introduce their pioneering work on […]
Nowadays, there is a large effort to find a monolithic solution for photonics and electronics. The main purpose is to integrate materials which have high carrier mobility and high photonic […]
Micro-printing is a good way to manufacture patterning structures in modern manufacture, which has been widely used in fields, e.g. micro-LED display, benefiting from the high material utilization. The electrohydrodynamic […]
Fiber lasers have been known as compact and robust laser sources. When operating in the femtosecond-pulse regime with high repetition rates (HRRs), particularly at a level of GHz, they open […]
As an essential part of intelligent manufacturing, R & D, fabricating, and application of robots become the important manifestation to show the national scientific and technological innovation ability as well […]
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 […]
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 […]
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, […]
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 […]
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 […]
Have you ever considered exploring alternative paths for your future career choices? This presents a unique opportunity to gain more insight in that regard. The Department has extended an invitation […]
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 […]
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 […]
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 […]