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Abstract The widespread use of power electronic converters in renewable energy resources and flexible ac or dc transmission systems is profoundly changing dynamics and control of power systems. These converter-based resources […]
Organizer Imaging Systems Laboratory, Department of Electrical and Electronic Engineering, The University of Hong Kong Partners Department of Food Science and Nutrition, The Hong Kong Polytechnic University School of Energy […]
Abstract Edge computing is becoming an essential concept covering multiple domains nowadays as our world becomes increasingly connected to enable the Internet of Things (IoT) concept. In addition, the new […]
Abstract Algorithms for mobile robotic systems are generally implemented on purely digital computing platforms. As complementary metal-oxide-semiconductor (CMOS) scaling approaches the end of the road, the improvement of the throughput […]
Abstract The emergence of flexible and wearable electronics is now leading a revolutionary era for real-time healthcare monitoring and human-machine interaction (HMI) in a more convenient and authentic manner. Sensors, […]
Abstract This seminar aims to introduce reinforcement learning (RL) and its application to communication systems to graduate students, although everyone is welcome to attend. RL has successfully been applied to […]
Abstract Colloidal quantum dots (QDs) have been of great interest owing to the unique optical and electrical properties, such as size-dependent band gap tunability, wide absorption and narrow emission spectra, […]
Please note the seminar venue is revised to Tam Wing Fan Innovation Wing Two, The University of Hong Kong. Abstract Ultrasound is undoubtedly a popular medical imaging modality and is […]
Abstract Given its high mobility, high breakdown voltage and decent thermal conductivity, GaN technologies have shown great promise for high-power high-frequency (HP-HF), rapidly rising as a front runner for mm-wave […]
Abstract Nanomedicines are an important means of treating solid tumors, but in clinical applications, they can only reduce side effects and cannot significantly improve efficacy. The main reason is that […]
Speaker Dr. Xiaoling WEI Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences Abstract Implanted neural electrodes provide one of the most important neuro-techniques that are able to […]
Abstract Future wireless networks are envisioned to provide ubiquitous sensing services, driving a substantial demand for high-accuracy and low-complexity estimation algorithms. Variational Bayesian inference (VBI) provides a powerful tool for […]
Seminar series under the 2022/23 Theme-based Research Scheme ReRACE: ReRAM Al Chips on the Edge. Programme & Speakers 09:30am–09:55am Opening & Briefing of ReRACE Prof. Ngai Wong 10:00am–10:40am Efficient & […]
Abstract Source-gated transistors (SGTs) have a relatively long history of development but only recently have mainstream technologies allowed for their effective implementation at scale. This talk is addressed to those […]
Abstract Large-scale MIMO systems utilizing low-resolution analog-to-digital converters (ADCs) have emerged as a cost-effective and energy-efficient solution for future wireless communication networks. While extended research has been conducted on signal […]
This workshop will include notable speakers from various universities in Hong Kong and we shall further discuss regarding the potential and advancement of neuroimaging technologies. Programme and Speakers: Time Activity […]
Abstract Federated learning (FL) is an attractive distributed machine learning paradigm that enables numerous clients to collaboratively train a model under the coordination of a central server, while keeping the […]
Abstract Organic electrochemical transistors (OECT) have emerged as a promising technology paradigm for wearable healthcare applications. However, several major challenges limit their widespread adoption in real-world applications: 1) the lack […]
Abstract Continuous glucose monitoring systems (CGMs) are critical toward closed-loop diabetes management. The field’s progress urges next-generation CGMs with enhanced antinoise ability, reliability, and wearability. Here, we propose a coin-sized, […]
Abstract Organic electrochemical transistors (OECTs) are emerging as next-generation biosensing technologies due to their capacity to amplify biosignals at low power, making them particularly suitable for developing sensitive wearable sensors […]