Ali Fawaz is an Associate Professor of Computer Science at Université de Haute-Alsace with a research trajectory focused on deep learning for human motion generation and time series analysis. He progressed from graduate research intern to PhD and postdoc before joining the faculty, bringing practical experience applying generative models to skeleton movement data. As a core developer on the aeon toolkit and an active member of the MSD-IRIMAS team, he combines open-source engineering with academic research to accelerate reproducible ML tooling. Trained in machine learning at Institut Polytechnique de Paris and grounded in electrical and communications engineering, he bridges theoretical methods and applied systems. Based in Mulhouse, France, he is notable for turning complex temporal data problems into deployable models and tools that serve both research and developer communities.
6 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Machine Learning, Communication and Security, Master of Science - MS, Machine Learning, Communication and Security at Institut Polytechnique de Paris
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Lebanese University - Faculty of Engineering III
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UHA
Contributions:7 pushes, 1 branch in 4 years 4 months
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