Smart Water Auditing for Hong Kong

The project is an integral part of a flagship research initiative being carried out under the auspices of the HKU Center for Water Technology and Policy. The Water Centre was jointly established by the Faculty of Engineering and the Faculty of Social Sciences to conduct cutting-edge research on water science, technology and policy issues that pertain to the broader urban sustainability agenda. We would like to acknowledge the contributions of the members of our inter-disciplinary project team. They come from the Department of Civil Engineering, Department of Electrical and Electronic Engineering, Department of Mechanical Engineering, Department of Politics and Public Administration and the Faculty of Social Sciences.

nD Blockchain for ESG Reporting

The introduction of the Environmental, Social and Governance (ESG) Reporting Guide (Guide) by HKEX in 2013, and the subsequent upgrade of the Guide’s reporting obligation to “comply or explain” in 2016, have significantly moved the dial for Hong Kong issuers’ ESG reporting. However, ESG reporting faces many bottlenecks, including data authenticity, consistency, and transparency. Professor Huang’s team developed an IoT- and blockchain-based platform to upgrade the ESG reporting industry.

CHITCHAT: Clinical History Taking Chatbot Mobile App for Medical Students

Undergraduate medical education has been severely affected by the COVID-19 outbreak. While lectures can be easily conducted online via Zoom, clinical bedside teachings, including training of history taking skills from patients, cannot be easily replaced. A novel chatbot mobile app for training of undergraduate medical students’ clinical history taking skills was developed.

MindPipe: High-performance and Carbon-efficient Four-dimensional Parallel Training System for Large AI Models

MindPipe, the first 4D parallel training system for large DNN models, has the following objectives:
1. Greatly reducing load imbalance in GPU pipeline parallel stages; 2. Effectively resolving contention of the 3D parallel communication tasks; 3. Deterministically scheduling multiple subnets to be trained in supernet parallelism, a novel parallel dimension proposed by MindPipe; and 4. Automatic near-optimal 4D configuration of GPUs considering both DNN converging efficiency and GPU utilization.

Wireless AI Perception: A New Sense for Machine Intelligence

Computer vision enables machines to “see”. The capability of machine vision based on cameras, however, is fundamentally limited to a certain field-of-view with good lighting conditions – they cannot see through any occlusions or in the dark.
Wireless sensing opens a new sense for machine perception to decipher the physical world, even in absolute darkness and through walls and obstacles.
It can capture human activities invisibly in a contactless and sensorless way.

A simulation platform for shared mobility services

This is a large-scale simulation platform for managing and controlling Hong Kong taxis. The simulator platform can be used to simulate the movements and trajectories of taxis for idle cruising, picking up passengers, and delivering passengers on a large-scale transportation network. The simulation platform is calibrated by a real dataset of Hong Kong taxis to ensure that the simulation well approximates the reality. This simulator is jointly developed by the teams of Dr. Jintao Ke at HKU and Prof. Hai Yang at HKUST. The simulation platform will be open for public use in the near future.