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
External Links
Recent Publications
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
Dayanikli, G., & Laurière, M. (2025). A Game-Theoretic Framework for Network Formation in Large Populations. In 2025 IEEE 64th Conference on Decision and Control, CDC 2025 (pp. 6832-6837). (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC57313.2025.11312130
Dayanıklı, G., & Laurière, M. (2025). A Machine Learning Method for Stackelberg Mean Field Games. Mathematics of Operations Research, 50(4), 3055-3093. https://doi.org/10.1287/moor.2023.0065
Liu, H., & Dayanikli, G. (2025). Modeling of Rumor Propagation in Large Populations with Network via Graphon Games. In 2025 American Control Conference, ACC 2025 (pp. 816-821). (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC63710.2025.11107890
Cui, K., Dayanıklı, G., Laurière, M., Geist, M., Pietquin, O., & Koeppl, H. (2024). Learning Discrete-Time Major-Minor Mean Field Games. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Technical Tracks 14 (9 ed., pp. 9616-9625). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38, No. 9). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v38i9.28818