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Abstract Perception and understanding of the physical world are fundamental to a wide range of applications, from autonomous systems to smart healthcare and human-computer interaction. However, traditional vision-based sensing (e.g., cameras and LiDAR) struggles in adverse weather conditions and occlusions. In this talk, I will discuss how radio frequency (RF) signals provide a powerful alternative […]
Abstract This talk explores the emerging paradigm of AI-empowered mobile edge computing (MEC), where edge nodes jointly perform wireless communication, computation, and sensing close to users. By colocating learning with connectivity and sharing hardware and spectrum, MEC cuts latency and energy while enabling advanced, privacy-aware services at scale. We focus on three pillars and demonstrate […]
Abstract For decades, the (sub-)terahertz (THz) frequency band (often defined as 300 GHz to 3 THz or broader, 100 GHz – 10 THz) had been primarily explored in the context of radar, imaging, and spectroscopy, where multi-gigahertz (GHz) and even THz-wide channels and the properties of terahertz photons offered attractive target accuracy, resolution, and classification […]
Abstract In this talk, we will introduce two innovative types of 3D intelligent metasurfaces: Stacked Intelligent Metasurfaces (SIM) and Flexible Intelligent Metasurfaces (FIM). We will explore their exciting applications in wireless communication and sensing systems. Specifically, SIM is a groundbreaking computing architecture that enables joint signal processing and communication in the electromagnetic (EM) domain. A […]
Zoom Link: https://hku.zoom.us/j/94562380867?pwd=ZLNMv8JgAFFrSAEfnTpb6iwdFC1p3E.1 Abstract Sparse matrix-vector multiplications (SpMV) are notoriously challenging to accelerate due to their highly irregular data access pattern. Although a fully customized static accel- erator design may be adequate for small problems that can fit entirely within an on-chip memory buffer, practical SpMV problems are large and have dynamic matrix structures that […]
Zoom Link: https://hku.zoom.us/j/94022031345 Abstract A vehicular energy network (VEN) enables energy transfer by leveraging electric vehicles as mobile carriers through wireless exchange across large geographic areas. A scalable and robust framework for energy routing in stochastic VENs with the objective of minimizing transmission loss is presented. The problem is formulated as a graph generalized flow […]
MSc(Eng)ICES is a new programme jointly offered by the Department of Electrical & Electronic Engineering (EEE), Faculty of Engineering, The University of Hong Kong (HKU) and the Center for Advanced Semiconductors and Integrated Circuits. Prof. Yuhao ZHANG and Prof. Han WANG, the Programme Directors of the Master of Science in Integrated Circuits and Electronic Systems […]
Zoom Link: : https://hku.zoom.us/j/94746878840?pwd=YEf9BnbAPbuFS7TZl0jbE4qf5rty3N.1 Abstract The NIR-IIc window (1600–2000 nm) offers exceptional potential for deep-tissue bioimaging. However, progress has been hindered by the lack of suitable laser sources. To overcome the limitation, we develop a suite of specialized laser systems tailored for the NIR-IIc region. In this talk, several novel laser systems are introduced, including […]
Zoom Link: https://hku.zoom.us/j/99194942035?pwd=W2Dch8eGCZCClFk8j97JlRvpcTrpMP.1 Abstract Advances in third-generation sequencing (TGS) have unlocked the potential for portable, real-time genomic analysis, but data processing remains a critical bottleneck hindering practical on-site applications. The massive, error-prone data streams generated by these sequencers overwhelm traditional von Neumann architectures, which are limited by costly data movement. This presentation introduces two novel […]
About the Talk The talk is co-organised by Susquehanna and Prof. Kenneth Kin-Yip WONG from the Department of Electrical and Electronic Engineering at The University of Hong Kong. This is a unique opportunity to explore careers in quant trading, hear firsthand from an experienced researcher, and connect with industry professionals. The speaker, Dr. Davor OBRADOVIC, […]
Abstract Arousal fluctuation is known to contribute to fMRI based functional dynamics, but its detailed mechanism is largely unclear. Combining invasive neural recording (electrophysiological recording and fiber photometry) and manipulation (optogenetics and chemogenetics) techniques with awake, unanesthetized animal fMRI provides unique opportunities to unravel the arousal contribution. Highly optimized unanesthetized mouse and marmoset fMRI setups […]
Zoom Link: https://hku.zoom.us/meetings/93247207941/invitations?signature=9mw43b9u1DETwxS1FU3ze_f2GpaMXc_Qr8OHnU4L4c8 Abstract In wireless communication system, physical layer security is an important issue to ensure the data transmission of the communication users. In previous physical layer security problem, eavesdroppers are considered wiretapping the target signal independently. However, with the development of intelligent devices, eavesdroppers can wiretap the signal collaborately. Combined with the covert […]
Zoom Link: https://hku.zoom.us/meetings/92032873265/invitations?signature=ZlnhYyZi056expgN41HYZdcENW6INTs0MyPEhyhl7r8 Abstract Robust 3D geometry estimation from videos is essential for autonomous navigation, SLAM, and 3D reconstruction. While recent pointmap-based methods such as DUSt3R enable accurate pose-free reconstruction, RGB-only approaches remain fragile under dynamic scenes and extreme illumination. We introduce a geometry estimation framework that augments pointmap reconstruction with asynchronous event data. It […]
Zoom Link: https://hku.zoom.us/j/94612024859?pwd=Sqldxnoy6vEOP3HqfBBLs1oMxAQvFx.1 Abstract Deep brain stimulation (DBS) is a powerful therapy for neurological disorders, yet conventional systems rely on finite-lifetime batteries and rigid implants that necessitate repeated surgeries and pose long-term risks. This seminar presents EchoGel, a brain-compatible, acoustic-responsive, and conductive hydrogel electrode platform designed to enable fully wearable, battery-free DBS. Once implanted in […]
Zoom Link: https://hku.zoom.us/j/7425733217?omn=96993354197 Abstract Automating garment production requires production‑grade precision for each production process across diverse fabrics, which remains challenging for conventional model-based methods. While model-based control scheme is effective for automating rigid-body handling processes, it struggles with fabrics’ effectively infinite degrees of freedom, nonlinear dynamics, and frequent self-occlusions from wrinkles and folds. End‑to‑end deep […]
Zoom Link: https://hku.zoom.us/j/7425733217?omn=96993354197 Abstract Seams are information-rich components of garments. The presence and combination of different types of seam help to estimate the state of a garment. We introduce a novel Seam-Informed Strategy (SIS) for garment state estimation and planning for garment handling. In this talk, we will consider a problem to flatten a T-shirt […]
Zoom Link: https://hku.zoom.us/j/93740801215 Abstract Diffusion models generate high-quality images and videos, closely mirroring the imagination of human brain. Specifically, score-based diffusion models generate by solving neural differential equations. However, their digital computer implementations are discrete in time and inherently digital, with energy efficiency constrained by the von Neumann architecture. Herein, we firstly demonstrate a chip-level […]
Zoom Link: https://hku.zoom.us/j/7425733217?omn=96993354197 Abstract Different Length Alignment Sewing (DLAS), which involves stretching the shorter fabric to match the longer one and sewing them together in a straight line, is a challenging task that needs to satisfy several requirements when automating the sewing process. To address the challenges, we propose a novel robotic sewing system, Different […]
Zoom Link: https://hku.zoom.us/j/9706928305?omn=95929409545 Abstract Unlike rigid objects, fabric pieces are difficult for robots to plan motion because they are deformable objects with infinite degrees of freedom, and their states evolve during robot motion. Instead of using a detailed model, we propose using an oriented bounding box to approximate the state of the fabric piece. The […]
Zoom Link: https://hku.zoom.us/j/99913066038?pwd=qqqBn1ojbFqbJJ4Koun6hucopMT2rJ.1 Abstract Brain-inspired computing aims to mimic cognitive functions like associative memory, the ability to recall complete patterns from partial cues. Memristor technology offers promising hardware for such neuromorphic systems due to its potential for efficient in-memory analog computing. Hopfield Neural Networks (HNNs) are a classic model for associative memory, but implementations on […]