This theme focuses on how digital technologies can improve the way cities function and enhance the quality of life for those living in them. It brings together research in data analytics, smart infrastructure, artificial intelligence, and digital governance to support more efficient, inclusive, and resilient cities, while addressing challenges such as privacy, cybersecurity, and digital inequality.


Projects

FCRI 2025 SEED CORN PROJECT

Energy Smart AI

The team:

  • Associate Professor Dr Saad Aslam, Sunway University
  • Professor Ir. Rosdiadee Nordin, Sunway University
  • Dr Haizum Hanim Ab Halim, Sunway University
  • Dr Amna Asif, Lancaster University
  • Dr Christoph Jansen, Lancaster University
  • Dr Suzana llic, Lancaster University
  • Dr Ashley Fraser, Lancaster University

The direction of green in AI focuses on algorithmic, hardware, and data centre optimization, as well as balancing techniques aimed at lowering computational costs to reduce CO₂ emissions and the resulting environmental pollution. Meanwhile, green by AI is more human-centric approach, applying AI to help reduce energy usage and support more sustainable practices in areas such as solutions to reducing broader environmental impact. Reducing energy consumption remains a key challenge in the pursuit of a more sustainable society. This dual focus ensures that AI technologies themselves are developed and deployed sustainably (green in AI), while also harnessing AI to advance environmental goals across society (green by AI).


FCRI 2025 SEED CORN PROJECT

Wearable Avoidance & Real-time Protection System from Pollution Exposure

The team:

  • Associate Professor Dr Anwar P.P Abdul Majeed, Sunway University
  • Dr Caroline Weight, Lancaster University
  • Dr James Stovold, Lancaster University
  • Dr Jiejun Hu-Bolz, Lancaster University
  • Dr Tianxiang Dai, Lancaster University

This project develops a wearable avoidance and real-time protection system to mitigate individual and population-level health risks arising from urban pollution exposure in Malaysia. The system integrates wearable sensors, real-time environmental monitoring, and data analytics to provide continuous assessment of air quality and personal exposure to harmful pollutants. By delivering personalized alerts, adaptive behavioral recommendations, and exposure-avoidance guidance, the system empowers individuals to make informed, context-aware health decisions in daily urban environments.

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