Applications of AI to Water Modelling
Call for Papers
Scope and Topics
Water resource management is facing challenge due to climate change, population growth, and rapid urban development. Traditional modelling techniques often struggle to handle the complexity of large-scale, nonlinear, and high-dimensional hydrological systems. Artificial Intelligence (AI) -particularly machine learning and deep learning—is emerging as a powerful complement or alternative, offering enhanced capabilities in predictive accuracy, anomaly detection, real-time modelling, and decision support.
The rise of advanced AI technologies is transforming many scientific disciplines, and hydrology is no exception. Applications span a wide range of domains, including surface water supply, groundwater modelling, flood and drought risk management, hydropower generation, agriculture and irrigation planning, climate change adaptation, the water-energy-food nexus, and water governance.
This special track will bring together researchers, practitioners, and industry experts to explore how AI can revolutionize water modelling for applications. Participants will gain valuable insights into leveraging AI for more sustainable and efficient water management, while also engaging in discussions on emerging challenges and collaborative opportunities to shape the future of AI-driven water systems.
Topics
The topics of interest include, but are not limited to:
- AI and machine learning in hydrological modelling
- AI for water resource management
- Integration of AI into water quality modelling
- AI for optimizing water treatment processes
- AI for improvement of irrigation systems,
- AI for leak detection in water distribution systems.
- Predictive analytics for flood and drought forecast and management
- AI-driven Water Quality Monitoring and Assessment
- Deep learning for water quality forecasting
- Remote sensing and AI for water monitoring
- Explainable AI in water systems
- Real-time data assimilation and decision-making
- Optimization of Water Distribution Systems using AI
- Machine learning based optimization for managing hydrological systems
- AI for enhancing data security in smart water system
- Ethical implementation of AI in water system
Submission guidelines
To submit your paper, please use the following link:
https://cmt3.research.microsoft.com/iCWEEconf2025
Important dates
- Paper Registration: 15 August 2025
- Paper Submission Deadline: 31 August 2025
- Paper Acceptance Notification: 30 September 2025
- Camera-ready Papers Due: 30 October 2025
Track Chairs
Dr Fariza Sabrina, Central Queensland University, Australia
Dr Farnaz Farid, Western Sydney University, Australia
Dr Farhad Ahamed, Western Sydney University, Australia
Dr Umair Ullah Tariq, Central Queensland University, Australia
Assoc Prof Rafiqul Islam, Charles Sturt University, Australia
Publicity Chair
- Dr. Haider Ali, University of Derby, UK
Technical Program Committee (tentative)
- Dr Ala Al-Areqi, Western Sydney University, Australia
- Dr Zhenglin Wang, Central Queensland University, Australia
- Dr Mohammad Polash, Lecturer, The University of Sydney, Australia
- Dr Shahroz Nadeem, University of Suffolk, UK
- Dr Muhammad Ajmal Azad, Birmingham City University, UK
- Dr Salman Ahmed, University of Suffolk, UK
- Dr Muhammad Waqar, University of Suffolk, UK