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Abstract Integrating sensing functionality into communication devices is emerging as a key feature of the 6G Radio access network. Dual-function radar communication (DFRC) systems implement both sensing and communication using […]
Abstract GaN high-electron-mobility transistors (HEMTs) have been extensively studied and commercialized due to their superior material properties for high-frequency and high-power applications. To fully harness their potential, GaN-based power ICs […]
Abstract Reconfigurable surface acoustic wave (SAW) phase shifters are emerging as important components for advancing secure wireless communication, adaptable signal processing, and intelligent sensing technologies. A promising approach to SAW […]
Abstract Microwave active circuits, such as low-noise amplifiers, power amplifiers, and oscillators, are essential components of the transceivers in the front-end of RF communication systems. As modern communication systems evolve, […]
Abstract Building energy systems (BESs) serve as crucial flexible resources within power systems. Among various building load types, thermostatically controlled loads (TCLs) for indoor temperature regulation are the primary contributors […]
Abstract Optimal Power Flow (OPF) problem has been studied for many years. Traditionally, this problem is solved using an iterative algorithm like the Interior Point Method (IPM). However, due to […]
Abstract Renewable integration in power systems causes a surge of frequency fluctuations, primarily due to the intermittent nature of renewable energy. To address this challenge, distributed energy resources (DERs) pave […]
Abstract The rapid advancement of artificial intelligence, driven by the emergence of multimodal large language models (MLLMs), is transforming the fields of computer vision and healthcare. By integrating diverse modalities, […]
The Department has extended an invitation to an entrepreneur and researcher, Dr. David Ng, together with three experienced professionals, Mr. David Sun Tak-kei, Ms. Yan Yu, and Mr. Terry Hao […]
Abstract Considering the microphone is easily affected by noise and soundproof materials, the radio frequency (RF) signal is a promising candidate to recover audio as it is immune to noise […]
Zoom ID: 998 6183 8733 Password: 275656 Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in social interaction, communication, and repetitive behaviors. Structural brain abnormalities associated […]
Abstract In recent decades, the rapid growth of cloud computing has posed significant challenges in managing the reliability, performance, and energy efficiency of complex multi-core computing servers. This talk introduces […]
Abstract “Be formless … shapeless, like water!”, which were the words used by Bruce Lee, as he was revealing the philosophy of Jeet Kune Do, the martial arts system Lee […]
Abstract This presentation will discuss converter control when power systems are operating with high (over 50%) inverter-based renewable generation. Traditional synchronous generator controls are set to handle transient, voltage, damping, […]
Abstract Artificial Intelligence (AI) is transforming our world by including self-learning capabilities or extracting intriguing hidden patterns from input data. While the cloud-based computing paradigm has been a baseline approach […]
Abstract Most power electronic equipment, including power supplies for Artificial Intelligence (AI) and high-performance computing systems, has traditionally been designed using discrete active and passive components. However, the power electronics […]
Abstract Advances in fiber-optic systems are crucial for the internet. To cope with this continued exponential growth as Keck´s law, multimode fibers (MMF) with spatial division multiplexing (SDM) are proposed. […]
Abstract Magnetic Resonance Imaging (MRI) is a versatile medical imaging modality. Despite its crucial role in modern healthcare, MRI remains largely inaccessible to the general population. The development of ultra-low-field […]
Abstract Recent years have witnessed the remarkable success of deep neural networks in healthcare, particularly in the analysis of medical images and signals. However, their performance is often constrained by […]
Abstract The evolution of generative artificial intelligence (GAI) has driven revolutionary applications like ChatGPT. The proliferation of these applications is underpinned by the mixture of experts (MoE), which contains multiple […]