Maya Sekeran

Curriculum Vitae

Berufserfahrung

seit 2021 Technische Universität München
Lehrstuhl für Verkehrstechnik
Wissenschaftlicher Mitarbeiter
2019 - 2021 AVL Software and Functions
Data Analytics Engineer
Data Science Intern and Master Thesis
2018 - 2019 AGT International
Data Science Intern
2014 - 2016 Education Performance and Delivery Unit
Senior Analyst
2013 - 2014 IDC International
Market Analyst
2012 - 2013 DXC Technologies
Analytics Specialist

Ausbildung

2016 - 2020 MSc. Data and Knowledge Engineering
Thesis: Transferability of Battery End of Life Prediction Models
Otto-von-Guericke University, Magdeburg
2000 - 2004 Bsc. Computer Science
University of Technology, Malaysia

Publikationen

  • Sekeran, Maya; Syed, Arslan Ali; Lindner, Johannes; Margreiter, Martin; Bogenberger, Klaus: Investigating Lane-Free Traffic with a Dynamic Driving Simulator. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023 mehr…
  • Rostami-Shahrbabaki, M.; Zhang, H.; Sekeran, M; Bogenberger, K.: Increasing the Capacity of a Lane-Free Beltway for Connected and Automated Vehicles Using Potential Lines. 102nd Annual Meeting Transportation Research Board, 2023 mehr…
  • Sekeran, Maya; Rostami-Shahrbabaki, Majid; Syed, Arslan Ali; Margreiter, Martin; Bogenberger, Klaus: Lane-Free Traffic: History and State of the Art. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 mehr…