Pushya Shree Konasale Jayaramu
Pushya is a Research Associate and a Ph.D. candidate at the Chair of Transportation Systems Engineering at the Technical University of Munich (TUM), working on the AGiMo project under the supervision of Dr. Mohamed Abouelela since November 2025. Her research focuses on travel behavior modeling using context-aware and dynamically changing stated preference data, with an emphasis on discrete choice modeling, hybrid and latent class models, behavioral nudging, and statistical analysis of large-scale travel data to evaluate sustainable mobility and policy interventions.
Prior to her current position as a Research Associate, Pushya completed a M.Sc. in Transportation Systems at TUM, while working as a student research assistant on transport data analysis, simulation, and behavioral modeling. Her Master’s thesis, conducted at the German Aerospace Center (DLR), focused on adoption modeling of light and micro electric vehicles using discrete choice and hybrid choice modeling frameworks to assess user preferences and emission reduction potential. She holds a Bachelor’s degree in Civil Engineering from India.
Education and Training
| 2025 - present | Ph.D. Candidate, Chair of Transportation Systems Engineering Technical University of Munich (TUM), Munich, Germany |
| 2022 - 2025 | M.Sc. Transportation Systems Technical University of Munich (TUM), Munich, Germany |
| 2017 - 2021 | Bachelor Civil of Engineering JSS Academy of Technical Education, India |
Work Experience
Nov 2025 – present
Research Associate at the Chair of Transportation Systems Engineering
Technical University of Munich (TUM), Munich, Germany. Working on the AGiMo project
Oct 2023 – Jan 2025
Research Assistant (Data Science)
German Aerospace Center (DLR), Stuttgart, Germany
- Transport data analysis using GTFS, OSM, and traffic count datasets
- Behavioral modeling and clustering for mobility and emission-related studies
- Development of reproducible geospatial and statistical analysis pipelines
Apr 2024 – Apr 2025
Research Assistant (Data Engineering)
Technical University of Munich (TUM), Munich, Germany
- Rail network simulation using SUMO, including block sections, routing logic, and delay propagation
- Development of GIS-based web tools for transport infrastructure visualization
- Network and trajectory-based transport data analysis
May 2024 – Jan 2025
Master’s Thesis Student
German Aerospace Center (DLR), Institute of Vehicle Concepts, Stuttgart, Germany
- Adoption modeling of micro electric vehicles using discrete choice and hybrid choice models
- Design and implementation of stated preference surveys
- Analysis of user preferences, latent attitudes, and emission reduction potential