- Investigating Lane-Free Traffic with a Dynamic Driving Simulator. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023 mehr…
- Increasing the Capacity of a Lane-Free Beltway for Connected and Automated Vehicles Using Potential Lines. 102nd Annual Meeting Transportation Research Board, 2023 mehr…
- Lane-Free Traffic: History and State of the Art. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 mehr…
Maya Sekeran
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M.Sc. Maya Santhira 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 |