Welcome!
Since 2022, I am associate professor in applied mathematic at École nationale supérieure de mécanique et des microtechniques (SUPMICROTECH-ENSMM) in Besançon, France. I conducted my research activities at FEMTO-ST, in the Automatic and System Micro-Mechatronics (AS2M) department.
I received a Ph.D. in 2012, jointly from Télécom SudParis and the University of Science and Technology in Lille, for work carried out at the Automatic, Computer and Signal Engineering Laboratory(LAGIS). My Ph.D. research focused on the blind estimation of single and double hidden Markov chains, with applications to barcode decoding. I then worked at the IMS laboratory at the University of Bordeaux on a research project related to biomarker discovery using Bayesian approaches. From 2013 and for five years, I worked as an Assistant Professor in Applied Mathematics at the University of Gabes in Tunisia. In 2019, I began a postdoctoral position at IMT Atlantique in Brest, France, where I worked for three years on topics related to signal processing, dynamical system identification, inverse problems, and uncertainty quantification, with applications in oceanography and renewable energy.
My research interests include uncertainty quantification for machine learning and deep learning, inverse problems, and physics-informed machine learning. I am currently working on various applications related to diagnostics and prognostics in domains such as medicine, renewable energy, and industry.