Computational Fluid Dynamics
Numerical solution of Navier–Stokes equations, finite element methods, and Physics-Informed Neural Networks (PINNs).
EST. 2024 · University of Thessaly
Water Resources Management,
Energy
& Fluid Mechanics Lab
Overview
The Lab conducts research and education in water resources management, computational fluid dynamics, and hydraulic applications that support the transition to a sustainable energy future.
We combine experimental and computational approaches — from classical flow modelling to modern scientific machine learning techniques — to study energy systems whose behaviour depends on fluid dynamics.
More about the lab →5+
Faculty &
Collaborators
Collaborators
8
Undergraduate
Courses
Courses
4
Research
Areas
Areas
3
Active
Projects
Projects
Research Areas
Fields of activity
Water Resources Management
Hydrological modelling of catchments, flood simulation, and design of hydraulic infrastructure.
Energy & Fluids
Applications in hydropower, wind farms (aerodynamics), cooling systems, and energy storage.
Scientific Machine Learning
Hybrid physics–data models, autonomous Bayesian Optimization algorithms, and agentic frameworks for engineering problems.
Flood Simulation
2D hydraulic modelling of flood events using HEC-RAS data and machine learning techniques.
Multi-physics Problems
Coupled thermoelasticity, continuum mechanics, and shallow water equations.
Teaching
Contribution to the Curriculum
The Lab supports core courses of the undergraduate programme in fluid mechanics, hydraulics, and computational mechanics, while also offering thesis topics in active research areas.
Courses & Theses →Recent
News & Activities
- 2026 · Project Collaboration on 2D flood simulation using data-assisted PINNs.
- 2026 · Publication Submission to Engineering with Computers on agentic Bayesian framework for PINNs.
- 2025 · Infrastructure Computing infrastructure upgrade for scientific machine learning workloads.