Florent Imbert

Om mig

After a Master’s degree in Applied Mathematics from La Rochelle University, I pursued a PhD in Computer Science at IRISA within the SHADoc (formerly IntuiDoc) team. My research focused on deep learning for handwriting analysis, contributing to the KIHT project, which aims to reconstruct online handwriting trajectories using DigiPen’s kinematic sensors (accelerometers, gyroscope, magnetometer, and force sensors). This project is a collaboration with Stabilo, KIT, and Learn&Go.

I am currently a postdoctoral researcher at Luleå University of Technology (Sweden) in the Machine Learning team, where I focus on developing advanced machine learning methods. My research centers on time-series modeling for Remaining Useful Life (RUL) prediction and on domain adaptation (DA) techniques for Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR).

Publications of Florent Imbert (Google Scholar)