Gökçe Dayanıklı

Assistant Professor

Education

Operations Research & Financial Engineering, PhD, Princeton University

Additional Campus Affiliations

Assistant Professor, Statistics
Assistant Professor, Industrial and Enterprise Systems Engineering
Affiliate, Carl R. Woese Institute for Genomic Biology

Recent Publications

Carmona, R., Dayanıklı, G., Delarue, F., & Laurière, M. (2026). From Nash Equilibrium to Social Optimum and Back: A Mean Field Perspective. Applied Mathematics and Optimization, 93(3), Article 92. https://doi.org/10.1007/s00245-026-10447-7

Jia, C., & Dayanikli, G. (2026). Finite-State Mixed-Individual Mean Field Games With an Application to Epidemic Modeling. IEEE Control Systems Letters, 10, 1153-1158. https://doi.org/10.1109/LCSYS.2026.3705661

Liu, H., & Dayanikli, G. (2026). Regulation of Rumor Propagation via (Multi-Leader) Stackelberg Graphon Games. In 2026 American Control Conference, ACC 2026 (pp. 3392-3399). (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc..

Rathod, P., & Dayanikli, G. (2026). Modeling Global Financial Stability Through Policy Design: A Hierarchical Stackelberg Mean Field Game Perspective. In 2026 American Control Conference, ACC 2026 (pp. 1496-1503). (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc..

Bichuch, M., Dayanikli, G., & Lauriere, M. (2025). A Stackelberg Mean Field Game for Green Regulator with a Large Number of Prosumers. In 2025 American Control Conference, ACC 2025 (pp. 4129-4134). (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC63710.2025.11108013

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