
Kévin Colin
- Centre de Recherche en Automatique de Nancy (CRAN)
Présentation
Bio
I was born in 1994 in Nancy (France). In 2017, I received a general engineering degree from the Ecole Centrale de Lyon (France) and a M.Sc. degree in Automatic Control from Université de Lyon Claude Bernard and Ecole Centrale de Lyon (France).
Between October 2017 and September 2020, I was a Ph.D. student at Laboratoire Ampère, Ecole Centrale de Lyon (Ecully, France) under the supervision of Xavier Bombois (CNRS research director, Laboratoire Ampère, Ecole Centrale de Lyon) and Laurent Bako (Associate professor, Laboratoire Ampère, Ecole Centrale de Lyon). I worked on several research themes related to system identification: prediction error identification, linear system identification, data informativity analysis, experiment design, networked systems, MEMS gyroscope modeling and block-oriented system identification. I graduated as Ph.D. on September 17th 2020.
From October 2020 to August 2024, I worked as a postdoctoral researcher at the division Decision and Control Systems at KTH Royal Institute of Technology (Stockholm, Sweden) with a close collaboration with the Competence Centre for Advanced BioProduction by Continuous Processing, AdBIOPRO. My research work at KTH included system identification, data informativity for networked linear systems, regret minimization in adaptive control, Bayesian estimation, physics-informed machine learning and mammalian cell-kinetics identification. I mainly worked with Håkan Hjalmarsson (Professor, KTH Royal Institute of Technology), Véronique Chotteau (Associate professor, KTH Royal Institute of Technology and director of AdBIOPRO) and Elling W. Jacobsen (Professor, KTH Royal Institute of Technology).
Since September 2024, I have been hired as an assistant professor at Université de Lorraine. My teaching psoition is at the Faculté des Sciences et Technologies de Nancy while my research is carried out at CRAN, department CID.
Domaines de recherche
Compétences
Publications
Publications
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Revisiting Dynamic Programming for Exploration: Insights from a Simple Dual Control Problem2025
Pré-publication, Document de travail
hal-05102303
v1
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Informativity: how to get just sufficiently rich for the Identification of MISO FIR Systems with Multisine Excitation?2019
Pré-publication, Document de travail
hal-02070880
v2
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Least costly identification experiment for the identification of one module in a dynamic network2019
Pré-publication, Document de travail
hal-02387776
v1
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Optimal Experiment Design for the Identification of One Module in the Interconnection of Locally Controlled Systems2019
Pré-publication, Document de travail
hal-02063406
v1
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Data informativity for the prediction error identification of MIMO systems : identification of a MEMS gyroscopeOther. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEC018⟩
Thèse
tel-03114994
v1
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