MODELLING AND ARTIFICIAL INTELLIGENCE (AI)

Remote Modelling & AI-enabled Process Control

Research in Modelling and Artificial Intelligence (AI) Machine Learning delves deeper into the development of innovative advancements in technologies (such as environmental modelling and simulations tools, smart sensors) for urban planning, water / wastewater management, environmental modelling and climate impact. The use of mathematical models and digital visualization help find new modern solutions for challenges in climate change and continued climate resilience. With the advanced development of environmental modelling and simulations tools for analysis, identification of potential issues, and offering of improved solutions to Industry needs for future growth, 

Previously, Environmental Process Modelling Centre (repositioned from DHI-NTU Centre at NTU), was an initiative in 2007 to support the development of the local environmental and water industry in Singapore. It was among the first batch of Centres of Excellence, supported by the Environment & Water Industry Programme Office (EWI) was set up by the Ministry of the Environment and Water Resources (MEWR) to spearhead the development of the environment and water industry.

Areas​ of research

Advanced development of environmental modelling and simulations tools for analysis, Modelling & Hydrodynamics, Sensors & Networks, Artificial Intelligence & Machine Learning for improved solutions.

 

Drone (UAV)

UAV Remote Sensing of turbidity in coastal waters 

  • Remote sensing for the protection of water quality 

 

Modelling & Hydrodynamics

  • Contaminant Fate
  • Transport in Water, Ocean Outfalls & Intakes

Artificial Intelligence & Machine Learning

  • Industrial and Municipal Water System Simulation & Process Controls,
  • Molecular Dynamics

 

Research enquiries: Assistant Professor Yin Xunyuan (Associate Program Director) [email protected]

Lab safety enquires: Ms Li Min (Lab Manager) [email protected] / (65) 6790 5077