About Panos Mavritsakis
Innovating Groundwater Management at Deltares
As a groundwater hydrologist at Deltares, Panos contributes directly to the mission of "Enabling Delta Life" by advancing resilience, sustainability, and innovation in groundwater management. His expertise in machine learning and AI allows him to push the boundaries of traditional hydrology, making data-driven insights accessible and actionable for real-world challenges.
Contributions to Deltares’ Mission
- Resilience: By developing predictive tools, Panos helps communities anticipate changes in groundwater levels and quality, crucial for adapting to environmental shifts.
- Sustainability: AI-driven models guide sustainable groundwater usage, balancing the needs of urban areas, agriculture, and ecosystems.
- Innovation: Cutting-edge techniques transform complex groundwater data into clear, actionable insights for effective management.
Key Skills and Qualities
To make a meaningful impact, Panos draws on both technical and interpersonal skills:
- Technical Expertise in machine learning and AI, particularly in developing predictive models for groundwater management.
- Problem Solving & Adaptability in tackling the complex, evolving needs of groundwater hydrology.
Career Successes and Projects
Panos has led impactful projects, including:
- Groundwater exploration with AI versions of numerical models: Created a surrogate model to emulate MODFLOW, reducing computational times and making groundwater predictions faster and more efficient.
- Predictive Algorithm for Malaria Control in South Sudan: Developed a model that forecasts malaria outbreaks using environmental data, supporting public health efforts and showcasing the versatility of data science in environmental applications.
Working experience
Arup Ireland
Project engineer
August 2021 - June 2023
Publications
A stochastic simulation framework for representing water, energy and financial fluxes across a non-connected island
Simulation of water, energy, and financial flows for isolated islands using a stochastic framework to support decision-making.
P. Mavritsakis, A. G. Pettas, I. Tsoukalas, G. Karakatsanis, N. Mamassis, and A. EfstratiadisEmpirical metric for uncertainty assessment of wind forecasting models in terms of power production and economic efficiency
A novel metric to assess uncertainty in wind forecasting models, focusing on energy production and economic impact.
A. G. Pettas, P. Mavritsakis, I. Tsoukalas, N. Mamassis, and A. EfstratiadisDry-spell assessment through rainfall downscaling comparing deep-learning algorithms and conventional statistical frameworks in a data scarce region: The case of Northern Ghana
Comparative analysis of deep-learning and statistical methods for rainfall downscaling in Northern Ghana.
Mavritsakis, P., ten Veldhuis, M.-C., Schleiss, M., and Taormina, R.
Projects
Groundwater exploration with AI versions of numerical models