Ali Forootani

Postdoctoral Research Associate @Helmholtz Centre for Environmental Research (UFZ)

Leipzig, DE

i) Man0EUvRE – ”Energy System Modelling for Transition to a net-Zero 2050 for EU via RE-PowerEU”: Designing and applying state-of-the-art machine learning methods in BENOPTex by an-alyzing satellite images and transforming; tailoring the results of optimization models into human lan-guages (using large language models - LLM) for better communications with stakeholders; Connectingthe developed LLM model to the new interface of BENOPTex; Assisting in Man0EUvRE project to gen-erate scenarios and use the information in a large language model; Organizing stakeholder meetings andwork packages in the Man0EUvRE project; managing the real worlds case studies.(ii) Applying Artificial Intelligence and Machine Learning methods to the field of renewable energies, inparticular monitoring/modeling the expansion of renewable Submitting project proposals in which AI/ML techniques are used in energy system optimizationmodels.– Keywords: Machine Learning, Deep Learning, LLM, Image Processing, Renewable Energies.– Software: Developing Python packages for LLMs, Image Processing, Renewable Energies. Differentlibraries such as Pytorch, Numpy, Scikit-learn, Scipy, Matplotlib, Pandas, LangChain, etc.

Shahid Beheshti University

Master of Science - MS, Control & System Engineering

Università degli Studi del Sannio-Benevento

Doctor of Philosophy - PhD, Information Technology, Control system and Electrical Engineering

Islamic Azad University

B.Sc., Electrical Engineering-Power Systems