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CESI Toulouse
16 rue Magellan
31670 Labège

Research team

Engineering and Numerical Tools

Research themes

  • Modeling complex and adaptive systems
  • Cooperative multi-agent systems
  • Graph theory
  • Intelligent, sustainable and shared mobility

Educational activities

  • Domain : Computer Science and Electronic Embedded Systems
  • Level : All levels of engineering studies


  • Doctorate in Computer Science
    University of Rouen Normandy, 2019
    "Spatio-temporal modeling of urban road traffic"
  • Master of Science and Technologies
    ESIGELEC (Rouen), 2016
    Speciality "Electronic Embedded Systems"
  • Bachelor in Engineering
    Speciality "Electronics and Communication", 2014
    Speciality "Electronics and Communication"

Scientific activities

  • – Scientific coordinator in programme CEE MobE (Team Engineering and Numerical Tools)
  • – Member of COPIL of MIDOC (Mobilité intelligente et durable en Occitanie)
  • – Member of Groupement d’Intérêt Scientifique (GIS) neOCampus
  • – Member of Réseau Régional de Recherche R3Mob in Nouvelle Aquitaine

PhD thesis supervision

Ongoing thesis

  • Abdelfatah KERMALI, Reinforcement learning-based prediction of university students’ mobility needs within a dynamic multimodal system, CEE MobE, defense expected in 2026

Editorial Activities

  • – Membre of the programme committee : W2GIS 2023, W2GIS 2024, ECAI 2024
  • – Reviewer : International Journal of Geo-Information, Sustainability

Selected Publications

  • K. S. Oberoi, “Personalisation in Mobility-as-a-Service: Where We Are and How to Move Forward”, 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024, pp. 352-360, To appear
  • K. S. Oberoi, G. Del Mondo, B. Gaüzère, Y. Dupuis, P. Vasseur, “Detecting Dynamic Patterns In Dynamic Graphs Using Subgraph Isomorphism”, Pattern Analysis and Applications, 2023, doi: 10.1007/s10044-023-01145-z
  • K.S. Oberoi, G. Del Mondo, “Spatio-temporal pattern detection in spatio-temporal graphs-Use case of invasive team sports and urban road traffic.” Revue Internationale de Géomatique, (3-4), p.377, 2022
  • K. S. Oberoi, S. Parenty, E. Avril, P. Rai, V. Camps, “Towards improving personalisation of MaaS tools”, 14th ITS European Congress, 2022, pp. 634–645, url:
  • K. S. Oberoi, G. Del Mondo, “Graph-based Pattern Detection in Spatio-Temporal Phenomena”, Spatial Analysis and GEOmatics (SAGEO), 2021, pp. 203–214, url:
  • K. S. Oberoi, G. Del Mondo, Y. Dupuis, P. Vasseur, “Modeling Road Traffic Takes Time”, 10th International Conference on Geographic Information Science (GIScience), 2018, pp. 52:1–52:7, doi:10.4230/LIPIcs.GISCIENCE.2018.52
  • K. S. Oberoi, G. Del Mondo, Y. Dupuis, P. Vasseur, “Spatial Modeling of Urban Road Traffic Using Graph Theory”, Spatial Analysis and GEOmatics (SAGEO), 2017, pp. 264-277, url:
  • K. S. Oberoi, G. Del Mondo, Y. Dupuis, P. Vasseur, Towards a qualitative spatial model for road traffic in urban environment, 20th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 1724-1729, doi: 10.1109/ITSC.2017.8317644