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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 […]
TSMC, a world-leading semiconductor foundry, is recruiting summer interns. Eligible and interested students can find details in the flyer.
Abstract Accelerated by the rapid advancements in AI and IoT technologies, there is an urgent need to extend AI capabilities to the network edge to fully harness the potential of […]
Abstract Photonic materials are the backbones of optical communication, sensing and imaging systems. The advent of artificial intelligence, internet of things and human-machine interfaces require optical information perception, data communication […]
Abstract The next frontier of the Internet of Things (IoT) lies in transforming today’s smart devices into collaborative cognitive agents – an ecosystem termed the Internet of Intelligent Things (IoIT). […]
Online via Zoom link: https://hku.zoom.us/j/2025021302 Abstract With the commercialization of 5G technology, research on 6G has emerged as a key focus in the field of wireless communications. In this talk, […]
Abstract Recently, the International Telecommunication Union (ITU) has identified integrated sensing and communication (ISAC) as a primary usage scenario for the sixth-generation (6G) cellular networks in IMT-2030 Framework. As a […]
Abstract Federated learning is a distributed artificial intelligence framework, which allows multiple edge devices to train a single model collaboratively. In this talk, we first introduce a personalized federated learning […]