• RPG Seminar – High-performance E-mode GaN HEMTs and Inverters Using a CTL-based Monolithically Integrated Platform for Power ICs Applications

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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) […]

  • RPG Seminar – Electrically Reconfigurable Surface Acoustic Wave Phase Shifters Based on ZnO TFTs on LiNbO3 Substrate

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 […]

  • RPG Seminar – Design of High-Performance Microwave Active Circuits Using Synthesis Techniques

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 […]

  • RPG Seminar – Decision-Oriented Modeling in Building Energy Systems

    Online via Zoom

    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 […]

  • RPG Seminar – Learning-Assisted Optimal Power Flow for Power Systems: Addressing Feasibility, Adaptability, and Scalability Issues

    Online via Zoom

    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 […]

  • RPG Seminar – Multi-time-scale management of virtual power plant for frequency regulation service provisio

    Online via Zoom

    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 […]

  • The Future of AI in Vision and Healthcare: Multimodal Large Language Models for Image Perception, Restoration, and Medical Applications

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 […]

  • Navigating Your Dream Career in Finance and Technology

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 to share their valuable experience with you. By attending, you will have the chance to broaden your perspective on career options. Date: 28 November, 2024 […]

  • RPG Seminar – Wireless Sensing for Speech Recovery and Recognition

    Online via Zoom

    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 […]

  • RPG Seminar – Discrimination of Developmental Trajectories in Brain Structural Features of ASD

    Online via Zoom

    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 […]

  • Multi-Objective Management for Many-Core Computing Servers

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 strategies to address these challenges using multi-objective optimization methods that span MultiProcessor System On Chip (MPSoC), server, and application levels. Topics include the development of […]

  • An Overview of Fluid Antenna Systems

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 founded in 1967. Many parallels can be drawn in wireless communications technologies where engineers have been seeking greater flexibility in using the spectral and energy […]

  • EEE MasterClass (EEE 大師講堂) – Controls in Power Systems with High Renewable Penetration

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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, and frequency stability issues arising from contingencies.  With the anticipated retirement of many steam units and increased replacement by renewable resources and storage systems, the […]

  • EPFL’s Centers Blueprint to Revolutionize Sustainable AI Co-Design and Optimization

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 for AI inferences in recent years, technological advances and AI optimization methods advocate a shift toward an edge-computing alternative. Nevertheless, combining cloud computing with the […]

  • Empowering High-Performance Computing Through Heterogeneous Integration of Power Electronics

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 industry has reached a stage where improving one performance attribute often comes at the expense of others. As AI and high-performance computing systems demand increasingly […]

  • Multimode Fiber Communication and Multicore Fiber Endoscopy Exploiting Physics-informed Deep Neural Networks

    Tam Wing Fan Innovation Wing Two, G/F, Run Run Shaw Building, The University of Hong Kong

    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. However, there are challenging mode scattering effects in MMF. Physics-informed deep learning enables to correct the scattering, resulting in advancing security and data rate. We […]

  • Advancing Accessible Ultra-low-field MRI with Deep Learning

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 (ULF) MRI offers opportunities for enabling low-cost, low-power, and potentially portable clinical applications. However, the imaging performance of these emerging ULF MRI scanners remains poor […]

  • Unlocking the Value of Single Modality through Multi-Modal Knowledge Transfer for Healthcare

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 the scarcity of labelled data, driven by high labelling costs and challenges related to data privacy and sharing. In this talk, I will explore how […]

  • Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks

    Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

    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 experts and selectively engages them for each task to lower operation costs while maintaining performance. Despite MoE's efficiencies, GAI still faces challenges in resource utilization […]