Taha.
I am a PhD candidate.
As a Thermodynamic & Fluid mechanics passionate, Data.Sc & AI enthusiast, I work on multi-criteria predictive control optimization of district heating networks under uncertainty by using physics-based machine learning.
As a Thermodynamic & Fluid mechanics passionate, Data.Sc & AI enthusiast, I work on multi-criteria predictive control optimization of district heating networks under uncertainty by using physics-based machine learning.
I am currently a PhD candidate at INSA Lyon, France. My thesis is being held in two laboratories:
CETHIL, center for energy and thermal sciences of Lyon.
LIRIS, image and information systems laboratory.
During my 5 years of engineering studies I had the opportunity to work on different projects, with different scopes : CFD / Energy optimization / Environmental policies / CAD / AI & Data.Sc.
I conducted my MSc project at University College London (UCL) in the mechanical engineering department. My work consisted on designing and studying novel designs of microchannel heat sinks and to assess their thermo-hydraulic enhancement with nanofluids.
I have been involved in various associations, and have acquired transversal skills in team management and IT projects.
Given my academic background, I am always curious to work on and know more about the following subjects:
Artificial intelligence and data science applied to the optimisation of energy systems.
Renewable energy production, conversion and storage systems.
Turbomachinery.
Numerical modelling, maths & probability.
Head of Tech within a professional association that generates contacts between recruiters and students. With my team of 8 people, we conducted the following missions:
My work focused on two separate projects :
My degree was obtained after succeeding in two cycles:
Extracurricular Activities
I am in charge of giving lectures and tutorials to final-year graduate students at Energy and Environment department at INSA.
Tutorials in hilbertian analysis for bachelor level students. The program covers:
Tutorials and lectures for undegrad students in: