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Special Sessions
S1: AI, Machine Learning, and Big Data Analytics in Water Resource Engineering and Management Download Leaflet
Co-chairs: Dr. Md Salauddin (EHCR, UCD Dublin, IRL), Dr. Soroush Abolfathi (University of Warwick, UK), Md Arman Habib (UCD Dublin, IRL)
Abstract The 1st International Workshop on “AI, Machine Learning, and Big Data Analytics in Water Resource Engineering and Management” is aimed at providing the diverse community of researchers, practitioners and stakeholders, engaged in the water environmental field, a podium to explore applications and the transformative potential of Artificial Intelligence (AI) technologies in water resources management. In the modern world, AI, Machine Learning (ML) and big data analytics are collectively adopted to implement innovative solutions for the existing challenges associated in the water environment. The resourceful discussion in the workshop will be beneficial for policymakers to implement informed and enhanced decision making, optimized resource utilization, thus ensuring sustainability in water management strategies. The water sector, presently, encounters an array of challenges such as depletion, contamination and mismanagement. Data analytics tools can process extensive water environmental data to provide key insights of the water environment that can be utilized for the formulation of operational strategies. At the same time, anticipatory actions can be undertaken to avoid potential issues and crises. For example, data-driven predictive models can warn regulatory authorities about any future crisis scenarios. This workshop will provide an opportunity for a lively discussion between industry experts and academics to explore the future trajectory of AI applications in water management. Such discussions may result in delineating potential pathways for enhancement of ML algorithms to identify and combat future crisis scenarios and is expected to foster interdisciplinary collaboration to enhance sustainability and resource resilience. Collaborations and shred knowledge in this workshop will contribute towards shaping global water management strategies across the world.
Organizers
