Mehmet Emre Görgülü, M.Sc.

Mehmet Emre Görgülü, M.Sc.

  • Otto Ammann-Platz 9
    76131 Karlsruhe

Education and Work Experience

since
08/2021
Research Assistant at the Institute for Transport Studies at KIT
04/2018 –07/2021 Master’s degree in Industrial Engineering and Management at KIT
05/2020 –07/2020 Intern in strategy consulting (Volkswagen Consulting)
02/2019 –05/2019 Intern in Audit/Assurance (PwC AG, Istanbul)
09/2018 –01/2019 Study abroad at Marmara University (Istanbul)
10/2014 –03/2018 Bachelor’s degree in Industrial Engineering and Management at KIT
03/2018 –09/2018 Intern in driver assistance systems (Daimler AG)
08/2016 –11/2016 Intern at a startup in lab automation (Labforward GmbH)

Research

  • Agent-based Travel Demand Modeling
  • Commercial and Freight Transport
  • Autonomous Driving

Teaching

  • Exam Organization
  • Strategic Transport Planning
  • Mobility services and new forms of mobility

Memberships

  • German Association for Road and Transportation Research (FGSV): Member of the Working Group 1.8.3 - Survey methods and data on commercial transport

Publications


Barthelmes, L.; Kübler, J.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2024). Integrated Agent-Based Modeling and Simulation Framework for Urban Parcel Shipments to and from Establishments. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024. 
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Microscopic Agent-Based Parcel Demand Model for the Simulation of CEP-Based Urban Freight Movements to and from Companies. Advances in Resilient and Sustainable Transport – Proceedings of the 6th Interdisciplinary Conference on Production, Logistics and Traffic 2023. Ed.: U. Clausen, 75–92, Springer International Publishing. doi:10.1007/978-3-031-28236-2_6
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Agent-Based Model for the In- and Outgoing Parcel Quantities of Companies in an Urban Area. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023.