• Seminar – Qusai-Single-Stage Current Fed Resonant AC-DC Converter Having Improved Heat Distribution

    Online via Zoom

    Zoom Link: https://hku.zoom.us/j/94898976823?pwd=K1NlUldEZUtzOGlqbUtzUDlZMjNHQT09 Meeting ID: 948 9897 6823 Password: 03082023 Abstract In the seminar, I will present one of my previously published works. This work presents a quasi-single-stage current-fed resonant ac-dc converter having improved heat distribution. Secondary-side switches are turned off with a voltage close to zero at high instantaneous power and with a voltage […]

  • Seminar – Quantum Induced Coherence Light Detection and Ranging

    Abstract Quantum illumination has been proposed and demonstrated to improve the signal-to-noise ratio (SNR) in light detection and ranging (LiDAR). When relying on coincidence detection, such a quantum LiDAR is limited by the response time of the detector and suffers from jamming noise. Inspired by the Zou-Wang-Mandel experiment, we design, construct and validate a quantum […]

  • Emerging opportunities in optical microresonators: fundamentals and applications

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

    Abstract Light-matter interactions are the fundamental basis for many phenomena and processes in optical devices. This talk will cover ultra-high-quality whispering-gallery-mode (WGM) optical microresonators, which provide an unprecedented capability to trap light in a highly confined volume smaller than a strand of human hair. Light beams can travel around the boundary of a WGM resonator […]

  • High-performance Perovskite Optoelectronic Devices via Defect Passivation and Potential Career Development Opportunities at Huaqiao University

    Metal halide perovskites are emerging as promising optoelectronic materials with advantages like easy solution-based fabrication, low material cost, high defect tolerance, and high PLQY. The MHPs have shown great potential in applications like LEDs and solar cells. As for the perovskite LEDs, before 2016, it was highly challenging to prepare a high-quality perovskite emitting layer […]

  • Seminar – EdgeGPT: Towards Autonomous Edge AI

    It has been envisioned that next-generation wireless networks have to support AI as a Service (AIaaS) as a new application scenario. Leveraging proximate edge computing resources, edge AI stands out as a promising enabler for AI-based applications on resource-constrained devices at the wireless network edge. Nevertheless, edge AI is a complex system, consisting of diverse […]

  • Towards open-source MR software and hardware with Pulseq and CoilGen

    MRI is a mature non-invasive medical imaging technology, which is why the human MRI machines from all major manufacturers are very similar. Nonetheless, the development and dissemination of novel MR acquisition techniques is hampered by the notoriously difficult and time-consuming task of implementing new methods on a particular MR vendor’s platform since it must be […]

  • Seminar – Functional soft materials to interface with biology: from non-invasive mechanochemical drug delivery to miniaturized soft robotic actuators

    Non-invasive, localized delivery and activation of chemical reactions and chemical release deep inside body is still challenging. In this talk, I will cover how soft materials with energy transduction capabilities can address these challenges. In the first part, I will showcase our efforts in developing soft materials that facilitate mechanochemistry, a chemical process initiated by […]

  • Mapping Charge Carrier Dynamics in Solar Cell Materials

    The separation and collection of photo-generated charge carriers in light-harvesting devices are limited by the losses and ambiguous dynamical events at the surfaces and interfaces of the absorber layers.1-3 These events occur in ultrafast time scales and can only be visualized selectively in space and time by scanning ultrafast electron microscopy (the sole technique capable […]

  • From basic concepts to clinical translation of deep learning in MRI reconstruction

    In 2016, deep learning techniques have been introduced to solve the inverse problem of MR image reconstruction from undersampled data from accelerated acquisitions (1,2,3). Since then, the field has grown substantially, and a wide range of machine learning methods have been developed and applied to a wide range of imaging applications. In this talk, I […]