Ali Fawaz
Associate Professor Of Computer Science
Mulhouse, Grand Est, France
Summary
🤩
Rockstar🎓
Top SchoolAli 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 ParisBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Lebanese University - Faculty of Engineering IIIDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UHA
Github Skills (45)
data-science10
data-mining10
machine-learning10
time-series10
scikit-learn10
anomaly-detection9
evaluation9
convolutional-neural-networks9
python9
forecasting9
post-hoc9
convolution9
numba8
finite-element-analysis8
classification8
Programming languages (4)
Github contributions (5)
MSD-IRIMAS/Multi_Comparison_Matrix
May 2023 - Feb 2025
Multi Comparison Matrix: A long term approach to benchmark evaluations
Contributions:3 releases, 1 review, 12 PRs in 1 year 9 months
benchmarkingcritical-difference-diagramevaluationtimeseriesclassification
MSD-IRIMAS/LITE
Aug 2023 - Feb 2025
LITE: Light Inception with boosTing tEchniques for Time Series Classification
Contributions:2 releases, 1 review, 6 PRs in 1 year 6 months
timeseriestimeseriesclassification
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