Carlos Lima Azevedo
Scholar

Carlos Lima Azevedo

Google Scholar ID: jQkz9EwAAAAJ
Technical University of Denmark
Smart MobilityTransportation SimulationBehavior ModelingData and Statistical AnalysisRoad Safety
Citations & Impact
All-time
Citations
2,552
 
H-index
30
 
i10-index
46
 
Publications
20
 
Co-authors
45
list available
Resume (English only)
Academic Achievements
  • Published multiple academic papers, such as 'A novel global urban typology framework for sustainable mobility futures' (2019).
  • Contributed to book chapters, such as 'Network model calibration studies' (2014).
  • Completed PhD thesis 'Probabilistic Safety Analysis using Traffic Microscopic Simulation' (2014). Supervisors: João Cardoso (LNEC), Moshe Ben-Akiva (MIT), and Filipe Moura (IST).
  • Completed MSc thesis 'Estimation of Annual Traffic Volumes: A model for Portugal' (2008). Supervisors: João Cardoso (LNEC) and José M. Viegas (IST).
  • Participated in various research projects, such as behavioral modeling of on-demand mobility services.
Research Experience
  • Associate Professor at Technical University of Denmark (DTU) (2018 - Present).
  • Research Affiliate at Massachusetts Institute of Technology (MIT) (2018 - Present).
  • Research Scientist at Massachusetts Institute of Technology (MIT) (2016 - 2018).
  • Executive Director of the Transportation Education Committee (TEC) at Massachusetts Institute of Technology (MIT) (2016 - 2017).
  • Senior Postdoctoral Associate at Singapore-MIT Alliance for Research and Technology (SMART) (2015 - 2016).
  • Postdoctoral Associate at Singapore-MIT Alliance for Research and Technology (SMART) (2014 - 2015).
  • PhD Scholar at National Laboratory of Civil Engineering (LNEC) (2008 - 2013).
  • Research Scholar at National Laboratory of Civil Engineering (LNEC) (2005 - 2008).
  • Structural Engineer at Quadrante S.A, Portugal (2004 - 2005).
Background
  • Currently an Associate Professor at DTU Management, Technical University of Denmark. His main research interests are the mathematical modeling and simulation of human mobility, smart mobility services, and the modeling, development, and assessment of new technologies in transportation systems.