Project coordinator:
Professor Cao Jiannong

• Otto Poon Charitable Foundation Professor in Data Science

• Chair Professor of Distributed and Mobile Computing, Department of Computing

• Dean of Graduate School

• Director, Research Institute for Artificial Intelligence of Things

• Director, Internet and Mobile Computing Lab

• Founding Director and Associate Director, University Research
  Facility in Big Data Analytics

Project:
High-performance Collaborative Edge Computing Enabling Smart City Applications: Framework and Methodologies

Summary:
This project aims to build a new smart city computing infrastructure enabled by collaborative edge computing with edge/cloud collaboration, city-scale edge network deployment and built-in artificial intelligence services. The Collaborative Edge Computing Framework (CECF) will construct a future ubiquitous computing infrastructure by connecting, sharing and managing the resources of numerous edge nodes. CECF provides new abstractions and functionalities for geo-distributed edge nodes to share computing and data resources and perform application tasks, enabling advanced smart city applications.

Approved Budget*:   

HK$50.821 million

Project coordinator:
Professor Ni Yiqing

• Yim, Mak, Kwok & Chung Professor in Smart Structures

• Chair Professor of Smart Structures and Rail Transit, Department of Civil and Environmental Engineering

• Director, Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center 

Project:
INTACT: Intelligent Tropical-storm-resilient System for Coastal Cities

Summary:
The project aims to minimise the losses caused by typhoons through establishing an intelligent tropical storm-resilient system for coastal cities. It devises a framework that enables efficient and accurate assessment of turbulence flows from sparse measurements. It will also quantify urbanenvironment tropical storm risks arising from complex urban aerodynamics. A real-time urban typhoon risk early-warning and management prototype will be made accessible to the public for guiding effective emergency responses, such as evacuation measures and the temporary reinforcement of glass panels.

Approved Budget*:   

HK$48.293 million

Project coordinator:
Professor Zhang Weixiong

• Chair Professor of Bioinformatics and Integrative Genomics, Department of Health Technology and Informatics and Department of Computing

• Hong Kong Global STEM Scholar

Project:
Integrated Innovative Artificial Intelligence (AI), Genomic and Biomedical Technologies in Healthcare: Objective Diagnosis, Personalised Therapy, and Determining the Etiology of Major Mental Disorders

Summary:
The project proposes a paradigm shift from symptom-based diagnosis to AI-based, data-driven diagnosis and a personalised therapy approach. By integrating AI, genomics and biomedical technologies, the research team aims to create an explainable AI-enabled treatment planning system that can support reliable diagnosis and guide personalised repetitive transcranial magnetic stimulation therapy.

Approved Budget*:   

Over HK$37 million