Seminar

  Seminar on “Fundamental Principle of Magnetic Levitation for AI Driven Maglev Rides” Dear Colleagues and Students, You are cordially invited to join the upcoming seminar on “Fundamental Principle of Magnetic Levitation for AI Driven Maglev Rides”. Please find the details below. Date: 4 November 2024 (Monday) Time: 11:00 am – 12:00 noon (HKT) Venue: Room 603, 6/F, Chow Yei Ching Building, The University of Hong Kong Zoom: https://hku.zoom.us/j/97401048897?pwd=WS8LiUbmLYOCce4bIWW8nHbHSDrJg0.1 Meeting ID: […]

Abstract Since the inception at the end of the 19th Century, technical characteristics of power systems have been determined by the physics of synchronous machines (SMs) that convert the primary energy produced by thermal/hydro/nuclear power stations into electricity. However, the traditional power plants are increasingly being replaced by wind/PV plants and batteries which are connected […]

The seminar scheduled for 24 October 2024 (Thur) has been postponed to 7 November 2024 (Thur), and time and venue remain unchanged. Abstract The prevailing GPU resource monopoly significantly restricts AI development, confining participation in the pretraining stages of Large Language Models (LLMs) to a few researchers. This project introduces a novel system that integrates […]

Abstract The advent of low-dimensional nanostructures has enabled a plethora of new devices and systems. Among them, nanoelectromechanical systems (NEMS) offers the unique capability of coupling the exquisite material properties found in these atomically-defined nanostructures with their mechanical degree of freedom, opening new opportunities for exploring exotic phenomena at the nanoscale. In particular, as these […]

You are cordially invited to join us for the Mini-Workshop on “Frontiers of Geometry Computing & Visual Media 2024”, organised by the Department of Electrical & Electronic Engineering and Computational Imaging & Mixed Representation Laboratory, The University of Hong Kong. The workshop aims to encourage innovative spirit, promote excellence and sustain quality, strive for improvement, […]

The seminar scheduled for November 19, 2024 (Tue) will start earlier at 1:30 pm, while the date and venue will remain unchanged. Abstract 2023 was “the year of AI”, highlighted by the release of numerous AI models with remarkable capabilities. Multimodal learning is at the forefront of AI advancements, with state-of-the-art models like GPT-4 and […]

Abstract This talk will highlight our recent efforts to explore the brain using low-coherence light. We will discuss two key scenarios: intraoperative assessment of brain cancer infiltration in patients and real-time imaging of dynamic neural activities in freely behaving rodents. In the first scenario, focused on clinical translation, we developed a quantitative color-coded optical coherence […]

Mode: Online via Zoom Zoom Link: https://hku.zoom.us/j/97278710788?pwd=VOGfxnayhDjXu3PTxj37IfWDzCGQ1i.1 Meeting ID: 972 7871 0788 Password: 533887 Abstract In today's digital landscape, the exponential growth of data has become the driving force behind modern applications, such as genome analysis and machine learning applications, revolutionizing our approach to healthcare and overall living quality. However, this unprecedented deluge of data […]

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 the same hardware thus saving in power, cost and spectral efficiency. In this talk, we focus on some of the signal processing aspects of designing […]

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 have been proposed to develop energy-efficient, high-density integrated circuits and systems. To ensure fail-safe operation, minimize standby power consumption, and facilitate circuit simplicity, enhancement-mode (E-mode) […]

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 modulation involves gate voltage-controlled tuning through acoustoelectric interactions, which offers efficient modulation at low bias voltages.   However, current acoustoelectric devices face limitations, such as restricted […]

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, the demand for higher performance increases. This necessitates compact circuit designs for integration applications, along with reduced jitter and bit error rates for enhanced communication […]

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 to flexible grid services. To harness this flexibility, it is essential to acquire a thermal dynamics model that represents temperature variations influenced by TCLs. Data-driven […]

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 the non-convex and nonlinearity of the OPF problem, it is challenging for iterative algorithm to meet the real-time requirement of power system operation and security […]

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 one promising way for frequency regulation by their aggregation as a virtual power plant (VPP). However, the technical heterogeneity of DERs results in varying frequency […]

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, these models enable groundbreaking progress in image perception, restoration, and medical applications. This talk explores how MLLMs leverage foundational model paradigms—incorporating billions of parameters and […]

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 and can traverse many soundproof objects. We introduce Radio2Speech, a system that uses RF signals to recover high quality speech from the loudspeaker. Radio2Speech can […]

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 with ASD are known to evolve across the developmental trajectory, making it difficult to identify consistent biomarkers for accurate individual diagnosis. In this seminar, we […]