About me

I am a postdoctoral researcher in the Department of Technology and Operations Management at Erasmus University. I received my PhD in Systems and Control (2026) from Delft University of Technology, where I was advised by Prof. S. Grammatico and Prof. P. Mohajerin Esfahani. You can download my full CV here.

Research Interests: Theory and practice of data-driven control and numerical optimization in complex networked systems, focusing on the design and analysis of (i) computationally efficient algorithms for energy network applications, and (ii) game-theoretic mechanisms in modern energy markets. My current technical research interests are:
• Numerical and inverse optimization in energy networks and smart grids
• Data-driven control and machine learning in transportation and mobility
• Game theory and variational inequalities in networked system operations

Publications

Thesis

[T2] Rahimi Baghbadorani, R., “Fast Algorithms for Optimization, Games and Control Applications”, Ph.D. Thesis, Delft University of Technology, Jan 2026, [pdf].

[T1] Rahimi Baghbadorani, R., “Vehicle routing problem using model predictive distributed co-operative method”, M.Sc. Thesis, Sharif University of Technology, Aug 2021 (in Persian) [pdf].

Preprints & Working Papers

[P8] Rahimi Baghbadorani, R., Nikseresht, A., Cho, J., and Ghiassi-Farrokhfal, Y., “Dynamic Pricing for Distribution Network Congestion Management: A Convex-Duality Approach”, To be submitted, 2026 (preprint available soon).

[P7] Rahimi Baghbadorani, R., Nikseresht, A., Cho, J., & Ghiassi-Farrokhfal, Y., “Dynamic Congestion Pricing in Distribution Networks via a Convex-Analytic Bilevel Reformulation”, arXiv:2607.03359, 2026.

[P6] Cianchi, S., Rahimi Baghbadorani, R., Sanjab, A., and Grammatico, S., “Learning-Based Stackelberg Equilibrium Seeking with Linear Quadratic Followers”, To be submitted, 2026 (preprint available soon).

[P5] Mallick, A., Rahimi Baghbadorani, R., Mohajerin Esfahani, P., and Grammatico, S., “Inverse Game Theory: Tractable Formulations and Performance Guarantees”, To be submitted, 2026 (preprint available soon).

[P4] Rahimi Baghbadorani, R., Grammatico, S., and Mohajerin Esfahani, P., “Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum”, arXiv:2511.10239, 2025.

[P3] Rahimi Baghbadorani, R., Grammatico, S. and Mohajerin Esfahani, P., “Adaptive Smoothing with Restarting for Stochastic Convex Optimization”, current draft, 2025.

[P2] Pantazis, G., Rahimi Baghbadorani, R. and Grammatico, S., “Nash equilibrium seeking for a class of quadratic-bilinear Wasserstein distributionally robust games”, arXiv:2411.09636, 2024.

[P1] Rahimi Baghbadorani, R., Grammatico, S. and Mohajerin Esfahani, P., “Adaptive accelerated composite minimization”, arXiv:2405.03414, 2024.

Journal Publications

[J4] Ferro, G., Grammatico, S., Parodi, L., Rahimi Baghbadorani, R., & Robba, M., “An embedded accelerated decentralized optimization algorithm with application to energy communities”, Control Engineering Practice, 172, 106920, 2026.

[J3] Rahimi Baghbadorani, R., Mohajerin Esfahani, P., and Grammatico, S., “A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities”, Operations Research Letters, 107388, 2025.

[J2] Rahimi Baghbadorani, R. and Haeri, M., “An innovative method to solve classic and dynamic multi-depot vehicle routing problem”, International Journal of Logistics Systems and Management, 50(1), pp.28-50, 2025.

[J1] Zajkani, M.A., Rahimi Baghbadorani, R. and Haeri, M., “Using a Tuning Parameter to Compromise Computation Time and Shipping Cost in an MDVRP”, AUT Journal of Electrical Engineering, 2023.

Peer Reviewed Conferences

[C11] Mallick, A., Rahimi Baghbadorani, R., Cianchi, S., Mohajerin Esfahani, P., & Grammatico, S., “Inverse Dynamic Game Theory via Robust Receding Horizon Learning”, IEEE Conference on Decision and Control (CDC), 2026.

[C10] Cianchi, S., Rahimi Baghbadorani, R., Sanjab, A., & Grammatico, S., “Learning-Based Stackelberg Equilibrium Seeking with Application to Demand Side Energy Management”, IEEE Conference on Decision and Control (CDC), arXiv:2605.00588, 2026.

[C9] Rahimi Baghbadorani, R. & Grammatico, S., “Fast Newton methods for linear-quadratic dynamic games with application to autonomous vehicle platooning and intersection crossing”, IEEE International Conference on Intelligent Transportation Systems, 2026.

[C8] Rahimi Baghbadorani, R., Benenati, E. and Grammatico, S., “A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games”, IFAC World Congress, 2026.

[C7] Rahimi Baghbadorani, R., Mohajerin Esfahani, P. and Grammatico, S., “A Hybrid Algorithm for Monotone Variational Inequalities”, European Control Conference (ECC), 2026.

[C6] Mignoni, N., Rahimi Baghbadorani, R., Mohajerin Esfahani, P., Carli, R., Dotoli, M., and Grammatico, S., “monviso: A Python Package for Solving Monotone Variational Inequalities”, European Control Conference (ECC), 2025.

[C5] Rahimi Baghbadorani, R., Mohajerin Esfahani, P. and Grammatico, S., “Fast Adaptive First-Order Semidefinite Programming for Data-Driven Linear Quadratic Regulation”, 32nd Mediterranean Conference on Control and Automation (MED), IEEE, 2024.

[C4] Delavar, A. and Rahimi Baghbadorani, R., “Modeling, estimation, and model predictive control for Covid-19 pandemic with finite security duration vaccine”, 30th International Conference on Electrical Engineering (ICEE), IEEE, 2022.

[C3] Zajkani, M.A., Rahimi Baghbadorani, R. and Haeri, M., “Model predictive based approach to solve DVRP with traffic congestion”, IFAC-Papers OnLine, 2021.

[C2] Rahimi Baghbadorani, R., Ghanavati, A.S., Zajkani, M.A. and Haeri, M., “A novel two-phase approach to solve multi-depot vehicle routing problem”, 25th International Conference on System Theory, Control and Computing (ICSTCC), IEEE, 2021.

[C1] Rahimi Baghbadorani, R., Zajkani, M.A. and Haeri, M., “A new approach to solve MDVRP in lower computation time”, 29th Iranian Conference on Electrical Engineering (ICEE), IEEE, 2021.

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