Carlos De Azevedo
Head Of Studies Of The MSc In Transport & Logistics at DTU - Technical University of Denmark
Denmark
Summary
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Senior🎓
Top SchoolCarlos De Azevedo is an Associate Professor and Head of Studies for the MSc in Transport & Logistics at DTU with 12 years of experience bridging mathematical modelling, simulation and machine learning to improve mobility systems. He leads research in the Machine Learning for Smart Mobility group, focusing on simulation-driven approaches and optimization to evaluate new transport technologies and policies. A former Research Scientist and Research Affiliate at MIT and contributor to the open-source SimMobility simulator, he blends deep academic rigor with hands-on system development. His work spans agent-based modelling, transport demand analysis and intelligent transportation systems, and he is committed to translating complex models into actionable insights for planners and industry. Trained as a structural engineer with a PhD in Transportation Systems, he brings multidisciplinary perspective—combining engineering fundamentals, computational methods and policy-aware research—to the design of future transport systems.
12 years of coding experience
5 years of employment as a software developer
Baccalaureat, Baccalaureat at École Européenne de BruxellesVisitor PhD, Tranportation Systems, Visitor PhD, Tranportation Systems at Massachusetts Institute of TechnologyMaster en Génie Civil (Erasmus), Master en Génie Civil (Erasmus) at École des Ponts ParisTechDoctor of Philosophy (Ph.D.), Transportation Systems, Doctor of Philosophy (Ph.D.), Transportation Systems at Instituto Superior Técnico
Portuguese, English, French, Spanish, Danish
Github Skills (1)
simulator9
Programming languages (1)
Github contributions (2)
smart-fm/simmobility-prod
Apr 2014 - Nov 2018
SimMobility production repository
Contributions:20 commits, 5 pushes in 4 years 8 months
simulatorproductiondriving
emotional-cities/data-share
Apr 2024 - Apr 2024
Contributions:1 issue in 1 day
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