<span>Azise-Oumar DIALLO</span>

Azise-Oumar DIALLO

Research Engineer - Control, Signal, and Systems Department PhD in Computer Science and Applications

Summary

PhD in computer science and multi-agent simulation from IMT Nord Europe, I strengthened my expertise in transportation system modeling and data science applied to mobility through a postdoctoral fellowship at LAET (ENTPE). Currently a research engineer at IFPEN, I specialize in transportation system analysis and modeling,  focusing on the socio-environmental impacts of mobility policies.

Involved in large-scale national (PEPER, MOBIDEC) and European (UPPER) research projects, I actively collaborate with research teams in France and internationally. In parallel, I contribute to education by supervising PhD students and interns and teaching in higher education institutions, such as EPITA.

Disciplinary fields

  • Signal processing/Data science
  • Systems modeling and simulation

Research topics

  • Transport modeling
  • Synthetic population generation
  • Evaluation of mobility policies

Projects

  • Setting-up of a dynamic Mobility Digital Twin and Evaluation of urban vehicle access regulations Policies, European Project UPPER
  • PhD: "Advanced Modeling of Transport Demand: Generation of a Synthetic Population Enriched with Dynamic Data", in partnership with LVMT (ENPC)
  • Postdoctoral Research: "Development of a Dynamic Modeling Methodology for Urban Mobility with MATSim Using Dynamic Data", Cible 3 Mob Sci-Dat Factory Project (PEPR MODIDEC)

 

Publications

"Utility-based agent model for intermodal behaviors: a case study for urban toll in Lille".
Diallo, A. O., Lozenguez, G., Doniec, A., & Mandiau, R. (2025).  Applied Intelligence, 55(4), 282.

"Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France".
Manout, O., Diallo, A. O., & Gloriot, T. (2024). Transportation, 1-32.

"Evaluation of low-traffic neighborhoods and scale effects: the Paris case study".
Yin, B., Diallo, A. O., Seregina, T., Coulombel, N., & Liu, L. (2024).  Transportation research record, 2678(1), 88-101.