Dr. Asma Slaimi, a Senior Data Analyst and Postdoctoral Researcher at Dublin City University, is at the forefront of using artificial intelligence and machine learning to address global environmental challenges. Her research focuses on AI-driven predictive modeling for hydrological systems, aiming to optimise water resource management, sustainability planning and climate resilience strategies.
As part of her PhD at the Insight Research Ireland Centre for Data Analytics, Dr. Slaimi developed a meta-learning framework to enhance the selection of hydrological models, improving forecasting accuracy for water distribution and flood prediction. By integrating big data processing, geospatial analytics and machine learning, her work advances
decision-making in environmental monitoring and risk assessment.
Currently, she is exploring Model-Agnostic Meta-Learning (MAML) for hydrological data integration, tackling the challenge of heterogeneous datasets with varying feature spaces, distributions and temporal-spatial resolutions. By leveraging MAML’s adaptability, she aims to create scalable, transferable models capable of learning across diverse datasets—enhancing prediction accuracy and enabling smarter environmental policies.
With expertise spanning data governance, digital transformation and AI for sustainability, Dr. Slaimi collaborates with multidisciplinary teams to develop data-driven solutions for water conservation, pollution control, and climate adaptation. Her research contributes to a smarter, more sustainable future, where data and AI drive innovation in environmental science.