Presentation
After graduating as a telecommunications engineer and completing a thesis at the University of Rennes in signal and image processing, Stéphane Derrode first worked as a post-doctoral fellow at Télécom Bretagne (Brest) from 1999 to 2001. He was then appointed lecturer at the École nationale supérieure de physique de Marseille in 2001, then at the École Centrale de Marseille in 2005. He joined École Centrale de Lyon as a professor in the mathematics and computer science department in 2014. His research interests include nonlinear and non-Gaussian systems in time series data analysis, with applications in signal processing, object tracking in video, healthcare (biology) and transportation.
Training activities
- Founder of the ambient intelligence platform called Amigo
- Instigator and facilitator of the reform of core courses in computer science
- Creator and facilitator of the Centrale Digital Lab training
- Creation of courses in the field of massive data processing
Latest publications
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Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model
Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022, #10.1080/15472450.2022.2069498 Bouyahia Zied, Haddad Hedi, Derrode Stéphane, Pieczynski Wojciech -
Toward a cost-effective motorway traffic state estimation from sparse speed and GPS data
IEEE Access, 2021, #10.1109/access.2021.3066422 Bouyahia Zied, Haddad Hedi, Derrode Stéphane, Pieczynski Wojciech -
Filtering in Gaussian linear systems with fuzzy switches
IEEE Transactions on Fuzzy Systems, 2020, #10.1109/TFUZZ.2019.2921944 Bouyahia Zied, Derrode Stéphane, Pieczynski Wojciech -
Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models
Signal Processing, 2020, #10.1016/j.sigpro.2020.107511 Zheng Fei, Derrode Stéphane, Pieczynski Wojciech -
Neurocomputing, 2019, #10.1016/j.neucom.2019.06.081 Li Haoyu, Derrode Stéphane, Pieczynski Wojciech