OBEROI Kamaldeep Singh

OBEROI Kamaldeep Singh is a teacher-researcher at CESI Toulouse, focusing on spatio-temporal modeling of urban mobility systems and graph-based pattern detection. His work bridges computer science, transportation engineering, and geomatics to address challenges in smart and sustainable mobility.

• Doctorate in Computer Science, University of Rouen Normandy (2019)
• MSc in Embedded Electronic Systems, ESIGELEC (2016)
• BEng in Electronics and Communication, Chitkara University (2014)

Research interests span:

• Dynamic graph theory applications in urban traffic analysis
• Mobility-as-a-Service (MaaS) personalization frameworks
• Multi-agent systems for sustainable transportation
• Reinforcement learning in mobility behavior simulation
• Spatio-temporal data analytics for smart cities

His publications from 2017–2025 demonstrate a sustained focus on graph-theoretic modeling of urban dynamics, with recent work expanding into AI-driven MaaS personalization. Key contributions include pattern detection algorithms and qualitative spatial models for traffic flow optimization.

Current affiliations:

• Scientific Animator, CEE MobE program (ION Team)
• MIDOC Key Challenge COPIL (Intelligent Mobility)
• neOCampus Scientific Interest Group
• R3Mob Regional Network (New Aquitaine)

Editorial roles include program committee membership at W2GIS (2023–2024) and ECAI (2024), with reviewing experience for journals on geomatics and sustainability.