Taha Boussaid

Taha Boussaid is a researcher at INSA Lyon's College of Engineering, affiliated with the Department of Energy and Environment and laboratories CETHIL (Centre for Energy and Thermal Sciences of Lyon) and LIRIS (Image and Information Systems Laboratory). His work focuses on physics-based machine learning to optimize district heating networks under uncertainty, with a systemic approach integrating local policies and international collaboration.

• PhD Candidate in Probabilistic Machine Learning & Predictive Control Optimization of Distributed Energy Systems (2022–Present)
• MSc in Mechanical Engineering from University College London (2021), evaluating microchannel heat sinks and nanofluids for power electronics
• Lecturer and tutor for graduate and undergraduate courses in statistics, machine learning, mathematics, and physics

His research interests span Artificial Intelligence, Data Science, Renewable Energy, Turbomachinery, and Numerical Modelling. Recent publications highlight graph neural networks, physics-guided ML, and surrogate models for energy system simulation.

Scientific Awards:

• Best Collaboration Award (2024) at the Energy and Informatics International Forum
• Best Paper Award (2023) at the International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impacts of Energy Systems

He contributes to open-source projects on GitHub, including satellite image classification and energy system simulation frameworks. His teaching experience includes advanced statistical tools, deep learning models (LSTM, GRU), and mathematics for undergraduates.