Email: hadidayekh (at) gmail (dot) com
LinkedIn
Hey reader! I am a recent holder of a PhD in computer science with a strong academic background and practical experience in artificial intelligence, data analysis, and modeling of dynamical systems from time series data. Skilled in Python, machine learning libraries, data manipulation, and statistical learning, I find the science of extracting information from data to be fascinating. My academic journey includes a BSc in physics and computer science and an MSc in data science. Currently looking to transition to industry applications in order to deliver robust, scalable, and business-oriented data solutions. Apart from professionally, my passions include popular music, cooking and baking.
Passive and active learning of switched nonlinear dynamical systems.
Developed two novel machine learning methods for analyzing time series data and modeling hybrid dynamical systems to predict their evolution.
Applied data preprocessing, data analysis, active learning, incremental regression, optimization and classification for system identification.
Implemented in Python and tested on multiple simulated and real-world experiments, with quantitative evaluation and visualization of results.
My PhD was successfully defended on: 11/04/2024.
My manuscript (with a summary in French) is available here.
03/2023 – 04/2023
During my stay in Japan, I enriched my PhD work with meetings and discussions with colleagues working on similar subjects.
This led to applications of my work on experimental data from Mitsubishi Electric Tokyo.