nsfc-rgc2025

Frontiers of Digital Twins in Intelligent Manufacturing and Smart Cities

智能製造與智慧城市數字孿生前沿會議

Welcome to the Frontiers of Digital Twins in Intelligent Manufacturing and Smart Cities Website!

About

Digital twin (DT) is an integrated, multi-physics, multi-scale, and probabilistic simulation of an object or activity that mirrors the life of its corresponding physical twin. In both construction and manufacturing industries, DT is able to reflect semantic and geometric properties, as well as behaviors, through virtual models and data, enabling real-time sensing, dynamic control, and information-sharing. The development of construction and manufacturing DTs involves the adoption of innovative information technologies for real-time data collection and decision-making, such as Internet of Things (IoT), blockchain, Cyber-physical Systems, and edge computing.

This NSFC/RGC conference “Frontiers of Digital Twins in Intelligent Manufacturing and Smart Cities” aims to explore and advance the forefront of these technologies. By leveraging DTs, management of complex systems in intelligent manufacturing and smart cities could be enhanced or transformed, ultimately contributing to more efficient and sustainable urban development in the Greater Bay Area (GBA). The integration of multiple cutting-edge technologies into DT frameworks opens new possibilities for creating interconnected and intelligent environments that optimize processes and foster innovation across industries. Through the conference, it is expected to anticipate uncovering novel insights and strategies that will shape the future of digital twins and their transformative impact on manufacturing and construction fields. The outcomes from this conference will be beneficial for Hong Kong and mainland in terms of academic collaborations on DT technology development and its applications on construction and manufacturing in GBA.

Topics May Include

Artificial Intelligence for digital twin
Blockchain-enabled digital twin system for construction project
Computer vision-based generation of construction digital twins
Data-driven intelligent manufacturing systems
Digital twin-enabled construction project management
Digital twin for smart cities
Key technologies for intelligent manufacturing and smart cities
Novel systematic framework for construction digital twins
Spatial-temporal network analysis for smart cities
Reference model for construction digital twins
Semantic digital twins generation and operation for smart cities
...

Objectives

Co-organized by young faculty members from 5 local universities and 9 mainland universities, the proposed conference will be supported by HK CIC and the Industrial Big Data and Intelligent Systems Chapter under The Chinese Mechanical Engineering Society (CMES). The theme is in line with Reindustrialization in Hong Kong Strategy proposed by the Government of the Hong Kong Special Administrative Region to foster Hong Kong’s R&D capacities and promote reindustrialization, and the Intelligent Manufacturing Development Plan of the “14th Five Year Plan”, proposed by the Ministry of Industry and Information Technology (MIIT) of China. To this end, this conference has the following objectives:

To establish a platform for both Hong Kong and Mainland young researchers to enhance their interactions and further collaborations as well as share recent research development.
To attract more young scholars, including postdoctoral fellows and early career academics to contribute to regional and national development.
To invite world-leading researchers to deliver keynotes, and offer their insights and visions for helping local and national young researchers.
To enhance research project collaborations with top-tier mainland institutions in the intelligent manufacturing and smart cities using emerging technologies.