Summary
Corwin Fevre is a lecturer and researcher in computer science with 11 years of experience specializing in modeling, simulation and optimization of transportation systems. He blends theoretical strengths in multi-agent systems, graph theory and algorithmic complexity with practical work in multi-criteria optimization and machine learning to tackle mobility, logistics and sustainability challenges. His recent projects span integration of autonomous shuttles in suburban contexts, urban parcel delivery and storage solutions, and industrial-grade systems like a robot for automatic rail-anomaly detection and multimodal freight optimization. Corwin’s background includes a PhD from Centrale Lille and hands-on R&D roles where he built decision-support systems, bespoke optimization algorithms and full-stack Django tooling for dynamic fleet management. Based in Lille, he often positions research to deliver measurable economic, ecological and social impact, combining academic rigor with applied engineering.
11 years of coding experience
1 year of employment as a software developer
Master 1 en informatique, Computer Science, Master 1 en informatique, Computer Science at Université de Lille
Master 2 in computer science, Complex Models, Algorithms and Data (MoCAD), Master 2 in computer science, Complex Models, Algorithms and Data (MoCAD) at University of Lille
Phd, Automation, Computer Engineering and Signal and Image Processing, Phd, Automation, Computer Engineering and Signal and Image Processing at Centrale Lille
Diplôme Universitaire de Technologie, Informatique, Diplôme Universitaire de Technologie, Informatique at IUT A de Lille
Stage de trois mois en laboratoire, Intelligences Artificielles et Apprentissage : Les réseaux de neurones, Stage de trois mois en laboratoire, Intelligences Artificielles et Apprentissage : Les réseaux de neurones at Faculty of Electrical Engineering and Computer Science, University of Maribor
English, Spanish