Breakthrough in 2D Materials for Efficient Edge AI: Sb-Contacted MoS2 Flash Memory Enables Ultra-efficient In-memory Computing in Analogue Content Addressable Memory (Published in Nature Nanotechnology)

by admin | Dec 30, 2025 | News, Research

An engineering research team from the HKU CANLab, the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU), led by Professor Can LI, Dr. Guoyun GAO and Mr. Bo WEN, has developed a breakthrough in 2D materials for efficient...

Prof. Shiming ZHANG’s Breakthrough in 3D Semiconductors Featured on the Cover of Science Magazine

by admin | Nov 24, 2025 | News, Research

We extend our heartfelt congratulations to Prof. Shiming ZHANG from the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU), whose groundbreaking research on 3D semiconductors just landed on the cover of Science! This work...

HKU Engineering Cross-disciplinary Research Team Developed Memristor-based Adaptive Analog-to-Digital Converter Empowering Next-Generation AI Chips

by admin | Nov 24, 2025 | News, Research

Researchers from the Department of Electrical and Electronic Engineering at The University of Hong Kong (HKU), in collaboration with Xidian University and the Hong Kong University of Science and Technology (HKUST), have made a pioneering advancement in...

HKU Engineering Research Team Develops A Nano-printing Technique for All-printed Infrared Micro-photodetectors

by admin | Nov 3, 2025 | News, Research

An engineering research team from the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU), led by Professor Leo Tianshuo ZHAO, in collaboration with Professor Ji Tae KIM from the Korea Advanced Institute of Science and...

“Topology optimization of random memristors for input-aware dynamic SNN”, a paper in Science Advances

by admin | Oct 23, 2025 | News, Research

Professor Xiaojuan QI from the Department of Electrical and Electronic Engineering and her team, worked on the research for the topic “Topology optimisation of random memristors for input-aware dynamic SNN”. The research findings were published by Science Advances on...

“Continuous-time digital twin with analog memristive neural ordinary differential equation solver”, a paper in Science Advances

by Doris Wong | Sep 2, 2025 | News, Research

Professor Han Wang and Professor Xiaojuan Qi from the Department of Electrical and Electronic Engineering and their team, worked on the research for the topic “Continuous-time digital twin with analog memristive neural ordinary differential equation solver”. The...