Several peer-reviewed journal articles, conference papers, and manuscripts in preparation, spanning deep reinforcement learning for transit control, quantum optimization, and rail/bus operations. Full record on my Google Scholar profile.

1. Ataeian, S., Saidi, S., Nassir, N., 2026, Scaling Joint Electric Bus Scheduling and Charging Beyond Exact Optimization: A Quantum Optimization Benchmarking Framework. (manuscript under preparation)
2. Ataeian, S., Mahmoudi, R., Saidi, S., Otero Becerril, M., 2026, Modular versus Conventional Bus Fleets: Joint Optimization of Service Frequency, Vehicle Configuration, and Dispatching. (under review)
3. Ataeian, S., Saidi, S., 2026, Beyond Holding and Stop-skipping: Is Dynamic Speed Control Worth the Complexity? A Deep Reinforcement Learning Evaluation of Low-Frequency Transit Network. (under review)
4. Ataeian, S., Saidi, S., 2026, Dynamic Control of Schedule-based and Headway-based Bus Services Using Deep Reinforcement Learning, Transportmetrica A: Transport Science. see here
5. Ataeian, S., Saidi, S., 2026, Improving the Resilience of Schedule-based Bus Operations Using Reinforcement Learning-based Control Strategies, TransitData 2026.
6. Otero Becerril, M., Saidi, S., Ataeian, S., 2026, Analysis of Time Point Selection in Bus Routes: A Comparative Study of Four Canadian Cities Using GTFS Data, TransitData 2026.
7. Buchunde, S., Ataeian, S., Saidi, S., 2025, Enhancing Performance of Simulation Models for Rail Transit Dwell Time Considering Passenger Flow Modeling, Transportation Research Procedia, 82, 2750–2765.
8. Buchunde, S., Saidi, S., Ataeian, S., 2023, Impact of Station Design and Passengers Flow on Urban Rail Dwell Time – A Systemwide Analysis Using APC and AVL Data, Transportation Research Record, 03611981241240762. (accepted for presentation at TRB)
9. Ataeian, S., Mahmoudi, R., Saidi, S., 2023, Bus Transit Service Operations Planning: Modular vs Conventional Fleet, WCTR2023 (World Conference on Transport Research).
10. Rashidi, S., Ataeian, S., Ranjitkar, P., 2022, Estimating Bus Dwell Time: A Review of the Literature, Transport Reviews: A Transnational Transdisciplinary Journal, DOI: 10.1080/01441647.2021.2023692.
11. Jafari Kang, M., Ataeian, S. & Amiripour, S.M.M., 2021, A Procedure for Public Transit OD Matrix Generation Using Smart Card Transaction Data, Public Transport, 13, 81–100. see here
12. Ataeian, S., Solimanpur, M., Amiripour, M., Shankar, R., 2021, Synchronized Timetables for Bus Rapid Transit Networks in Small and Large Cities, Scientia Iranica, Transaction E: Industrial Engineering, 28(1), 477-491. doi: 10.24200/sci.2019.51501.2220. see here
13. Ataeian, S., Mostafavi, A., Nabiloo, R., 2020, Performance Analysis of Fixed Route Shared Taxi Services (Jitney) - Case Study of Tehran, Iran, Computational Research Progress in Applied Science & Engineering (CRPASE), 6(01), 52-59. see here
14. Ataeian, S., Amiripour, M., Solimanpur, M., 2017, A Mathematical Programming Model for Bus Line Timetable Setting, The 16th International Conference on Traffic and Transportation Engineering.
15. Ataeian, S., Solimanpur, M., Amiripour, M., 2017, A Mathematical Programming Model for Passenger Transfer Time Optimization in Public Transit Networks, 13th International Conference on Industrial Engineering.
16. Ataieyan, P., Ataeian, S., Moghaddam, PA., 2015, Estimation of The Soil Organic Carbon by Image Processing Using Neural Networks, The 9th National Congress on Agricultural Machinery Engineering (Biosystem Mechanics) and Mechanization.