Digital Sustainability
Digital Sustainability
The convergence of digital technologies and sustainability practices is considered increasingly vital in addressing the challenges generally faced by the built infrastructure due to the changing climate. In the context of climate change and the urgent need for resilient infrastructure, there exists a critical gap in harnessing the full potential of digital technologies to achieve sustainability objectives. Despite the promise of digital solutions, the infrastructure sector typically requires help adopting and effectively utilizing the technology to minimize environmental impact. Some of the commonly known digital technologies, including the Internet of Things (IoT), artificial intelligence (AI), blockchain, and data analytics, have opened new avenues for sustainable infrastructure development, etc. The "smart city" concept typically exemplifies this integration, where interconnected systems and sensors enable real-time monitoring, data-driven decision-making, and resource optimization, as noted in the literature. Digital sustainability in climate-resilient infrastructure highlights the transformative potential of digital technologies in enhancing sustainability, resilience, and efficiency. From energy optimisation to blockchain-enabled transparency, digital and sustainability principles convergence offer innovative solutions to pressing infrastructure challenges. Therefore, the Digital Sustainability theme stands at the forefront of this interdisciplinary field, aiming to develop innovative solutions that support a sustainable and resilient future for built infrastructure in the face of climate change.
Current Projects
- Construction Waste Generation Detection (Lead PI – Yaser Gamil)
- Digital Twin Technologies (Lead PI – Yaser Gamil)
- Smart Grid Integration (Lead PI – Tan Chee Keong)
- Digital Sustainability Standards (Lead PI – Tan Chee Keong)
- Circular Economy Integration (Lead PI – Daniel Kong)
- Resilience Modelling (Lead PI – Mehrdad Arashpour)
- Blockchain for Sustainability (Lead PI – Daniel Kong)
- AI-enabled energy management: Optimizing the return on investment of energy storage systems in electrical systems through optimal control and forecasting (Lead PI – Tan Chee Keong)
- Enabling energy-efficient Internet of Flying Things (IoFT) for smart city using unmanned aerial vehicle (UAV) swarming intelligence: A hybrid game theoretical and reinforcement learning approach (Lead PI - Tan Chee Keong)
- Deep learning-enhanced image segmentation for micro-scale defect detection in printed circuit boards (PCBs) (Lead PI - Tan Chee Keong)
Completed Projects
- IoT-based energy monitoring with artifical intelligence to improve energy utilization of commercial and industrial consumers (Lead PI - Tan Chee Keong)
- Advanced use of recycled materials in pavement construction: Whole-of-lifecycle cost analysis (Lead PI - Mehrdad Arashpour)