## Selected Recent Publications

- Y. Arslantas, E. Yuceel, and M
**.**O. Sayin. “Strategizing against Q-learners: A control-theoretical approach”,**IEEE Control Systems Letters**, 2024. [url] - M. O. Sayin, K. Zhang, and A. Ozdaglar, “Fictitious play in Markov games with single controller,” in
**ACM Conference on Economics and Computation (EC)**, 2022. [url] - M. O. Sayin, F. Parise, and A. Ozdaglar, “Fictitious play in zero-sum stochastic games,”
**SIAM Journal on Control and Optimization**, 2022. [url][poster] - A. Ozdaglar, M. O. Sayin and K. Zhang. Independent Learning in Stochastic Games. In
**Proceedings of the International Congress of Mathematicians**(ICM’22), vol. 7, pp. 5340-5373, 2022. [url] - M. O. Sayin*, K. Zhang*, D. S. Leslie, T. Başar, and A. Ozdaglar, “Decentralized Q-learning in zero-sum Markov games,” in
**NeurIPS**, 2021. [url] [poster]

## Preprints

- Y. Arslantas, A. S. Donmez, E. Yuceel, and M. O. Sayin. Vulnerability assessment of reinforcement learning in stochastic security games, 2024.
- Y. Arslantas and M. O. Sayin. Strategic control of experience-weighted attraction model in human-AI interactions, 2024.
- Y. Saltan, A. Kosay, C.-W. Lin, and M. O. Sayin. Strategic control of intersections for efficient traffic routing without tolls, 2024.
- A. S. Donmez and M. O. Sayin. Generalized individual Q-learning for polymatrix games with partial observations, 2024.
- A. S. Donmez, Y. Arslantas, and M. O. Sayin. Team collaboration vs competition: New fictitious play dynamics for multi-team zero-sum games, arXiv:2402.02147, 2024. [url]
- Y. Arslantas, E. Yuceel, Y. Yalin, and M
**.**O. Sayin. Convergence of heterogeneous learning dynamics in zero-sum stochastic games, arXiv:2311.00778, 2023. [url] - M. O. Sayin. Finite-horizon approximations and episodic equilibrium for stochastic games, arXiv:2310.07256v2, 2024. [url]
- M. O. Sayin and O. Unlu. Logit-Q dynamics for efficient learning in stochastic teams, arXiv:2302.09806v2, 2024. [url]

## Journals

- K. Zhang, M. O. Sayin, and A. Ozdaglar, “(Smooth) fictitious play in identical-interest stochastic games with independent continuation-payoff estimates,”
**Applied and Computational Mathematics**, Special Issue: Control, Teams, and Games, in print. - Y. Arslantas, E. Yuceel, and M
**.**O. Sayin, “Strategizing against Q-learners: A control-theoretical approach,”**IEEE Control Systems Letters**, 2024. [url] - M. O. Sayin, F. Parise, and A. Ozdaglar, “Fictitious play in zero-sum stochastic games,”
**SIAM Journal on Control and Optimization**, 2022. [url][poster] - M. O. Sayin and T. Başar, “Bayesian persuasion with state-dependent quadratic cost measures,”
**IEEE Transactions on Automatic Control**, 2022. [url] - M. O. Sayin and T. Başar, “Persuasion-based robust sensor design against attackers with unknown control objectives,”
**IEEE Transactions on Automatic Control**, 2021. [url] - M. O. Sayin, C.-W. Lin, E. Kang, S. Shiraishi, and T. Başar, “Reliable smart road signs,”
**IEEE Transactions on Intelligent Transportation Systems**, 2020. [url] - M. O. Sayin, E. Akyol, and T. Başar, “Hierarchical multi-stage Gaussian signaling games in noncooperative communication and control systems,”
**Automatica**, 2019. [url] - M. O. Sayin, C.-W. Lin, S. Shiraishi, J. Shen, and T. Başar, “Information-driven autonomous intersection control via incentive compatible mechanisms,”
**IEEE Transactions on Intelligent Transportation Systems**, 2019. [url] - N. D. Vanli, M. O. Sayin, M. Mohaghegh, H. Ozkan, and S. S. Kozat, “Nonlinear regression via incremental decision trees,”
**Pattern Recognition**, 2019. [url] - O. F. Kilic, T. Ergen, M. O. Sayin, and S. S. Kozat, “Team-optimal online estimation of dynamic parameters over distributed tree networks,”
**Signal Processing**, 2019. [url] - M. O. Sayin, N. D. Vanli, S. S. Kozat, and T. Başar, “Stochastic subgradient algorithms for strongly convex optimization over distributed networks,”
**IEEE Transactions on Network Science and Engineering**, 2017. [url]**[Runner-up of the 2019 IEEE TNSE Best Paper Award]** - M. O. Sayin, S. S. Kozat, and T. Başar, “Team-optimal distributed MMSE estimation in general and tree networks,”
**Digital Signal Processing**, 2017. [url] - D. Kari, I. Marivani, F. Khan, M. O. Sayin, and S. S. Kozat, “Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis,”
**Digital Signal Processing**, 2017. [url] - N. D. Vanli, M. O. Sayin, I. Delibalta, and S. S. Kozat, “Sequential nonlinear learning for distributed multi-agent systems via extreme learning machines,”
**IEEE Transactions on Neural Networks and Learning Systems**, 2017. [url] - N. D. Vanli, K. Gokcesu, M. O. Sayin, H. Yildiz, and S. S. Kozat, “Sequential prediction over hierarchical structures,”
**IEEE Transactions on Signal Processing**, 2016. [url] - O. F. Kilic, M. O. Sayin, I. Delibalta, and S. S. Kozat, “Computationally highly efficient mixture of adaptive filters,”
**Signal, Image, and Video Processing**, 2016. [url] - M. O. Sayin, Y. Yilmaz, A. Demir, and S. S. Kozat, “Krylov proportionate normalized least mean fourth approach: Formulation and performance analysis,”
**Signal Processing**, 2015. [url] - M. O. Sayin and S. S. Kozat, “Compressive diffusion strategies over distributed networks for reduced communication load,”
**IEEE Transactions on Signal Processing**, 2014. [url] - M. O. Sayin, N. D. Vanli, and S. S. Kozat, “A novel family of adaptive filtering algorithms based on the logarithmic cost,”
**IEEE Transactions on Signal Processing**, 2014. [url] - M. O. Sayin and S. S. Kozat, “Single bit and reduced dimension diffusion strategies over distributed networks,”
**IEEE Signal Processing Letters**, 2013. [url]

## Chapters in Edited Volumes

- A. Ozdaglar, M. O. Sayin and K. Zhang. Independent Learning in Stochastic Games. In
**Proceedings of the International Congress of Mathematicians** - M. O. Sayin and T. Başar. Deception-As-Defense Framework for Cyber-Physical Systems. In
**Safety, Security, and Privacy for Cyber-Physical Systems**,*Springer*, 2021. [url] - M. O. Sayin, et al. Minimax Detection (MAD) for Computer Security: A Dynamic Program Characterization. In
**Game Theory and Machine Learning for Cyber Securit***y*,*John Wiley & Sons*, 2021. [url]

## Patents

- M. O. Sayin, C.-W. Lin, S. Shiraishi, “Managing Roadway Intersections for Vehicles,” US Patent US11151869B2, Granted on Oct. 19, 2021. [url]

## Conferences

- O. Unlu and M. O. Sayin, “Episodic logit-Q dynamics for efficient learning in stochastic teams,” in
**IEEE CDC**, 2023. [url] - S.-C. Huang, K.-E. Lin, C.-Y. Kuo, L.-H. Lin, M. O. Sayin, and C.-W. Lin, “Reinforcement-learning-based job-shop scheduling for intelligent intersection management,” in
*Design, Automation and Test in Europe Conference*(**DATE**), 2023. [url] - M. O. Sayin, “On the global convergence of stochastic fictitious play in stochastic games with turn-based controllers”, in
**IEEE CDC**, 2022. [url] - M. O. Sayin, K. Zhang, and A. Ozdaglar, “Fictitious play in Markov games with single controller,” in
**ACM EC**, 2022. [url] - M. O. Sayin and K. A. Cetiner, “On the heterogeneity of independent learning dynamics in zero-sum stochastic games”, in
**L4DC**, 2022. [pdf][url][poster] - M. O. Sayin*, K. Zhang*, D. S. Leslie, T. Başar, and A. Ozdaglar, “Decentralized Q-learning in zero-sum Markov games,” in
**NeurIPS**, 2021. [url] [poster] - M. O. Sayin*, K. Zhang*, D. S. Leslie, T. Başar, and A. Ozdaglar, “Decentralized Q-learning in zero-sum Markov games,” in Workshop on Reinforcement Learning Theory at
**ICML**, 2021. - M. O. Sayin and T. Başar, “On the optimality of linear signaling to deceive Kalman filters over finite/infinite horizons,” in
**GameSec**, 2019. [pdf][url] - M. O. Sayin, H. Hosseini, R. Poovendran, and T. Başar, “A game theoretical framework for inter-process adversarial intervention detection,” in
**GameSec**, 2018. [url] - M. O. Sayin and T. Başar, “Dynamic information disclosure for deception,” in
**IEEE CDC**, 2018. [pdf][url] - M. O. Sayin and T. Başar, “Secure sensor design for resiliency of control systems prior to attack detection,” in
**IEEE CCTA**, 2018. [pdf][url] - M. O. Sayin and T. Başar, “Deceptive multi-dimensional information disclosure over a Gaussian channel,” in
**ACC**, 2018. [pdf][url] - M. O. Sayin, C.-W. Lin, S. Shiraishi, and T. Başar, “Reliable intersection control in non-cooperative environments,” in
**ACC**, 2018. [url] - B. Zheng, M. O. Sayin, C.-W. Lin, S. Shiraishi, and Q. Zhu, “Timing and security analysis of VANET-based intelligent transportation systems,” in
**IEEE ICCAD**, 2017. [url] - M. O. Sayin and T. Başar, “Secure sensor design for cyber-physical systems against advanced persistent threats,” in
**GameSec**, 2017. [pdf][url] - M. O. Sayin, E. Akyol, and T. Başar, “Strategic control of a tracking system,” in
**IEEE CDC**, 2016. [pdf][url] - M. O. Sayin, E. Akyol, and T. Başar, “On the structure of equilibrium strategies in dynamic Gaussian signaling games,” in
**IEEE MSC**, 2016. [url] - O. F. Kilic, M. O. Sayin, I. Delibalta, and S. S. Kozat, “Mixture of set membership filters approach for big data signal processing,” in
**IEEE SIU**, 2016. [url]**[Best Student Paper Award]** - M. O. Sayin, N. D. Vanli, I. Delibalta, and S. S. Kozat, “Efficient and distributed tracking of evolving state,” in
**IEEE MLSP**, 2015. [url] - N. D. Vanli, M. O. Sayin, I. Delibalta, and S. S. Kozat, “Universal online prediction via order preserving patterns,” in
**IEEE MLSP**, 2015. [url] - M. O. Sayin, N. D. Vanli, I. Delibalta, and S. S. Kozat, “Optimal and efficient distributed online learning for big data,” in
**IEEE Big Data Congress**, 2015. [url] - N. D. Vanli, M. O. Sayin, and S. S. Kozat, “Twice-universal piecewise linear regression via infinite depth context trees,” in
**IEEE ICASSP**, - M. O. Sayin, N. D. Vanli, T. Goze, and S. S. Kozat, “Communication efficient channel estimation over distributed networks,” in
**IEEE GlobalSIP**, 2014. [url] - N. D. Vanli, M. O. Sayin, T. Goze, and S. S. Kozat, “Energy consumption forecasting via order preserving pattern matching,” in
**IEEE GlobalSIP**, 2014. [url] - N. D. Vanli, M. O. Sayin, S. Ergut, and S. S. Kozat, “Piecewise nonlinear regression via decision adaptive trees,” in
**EUSIPCO**, 2014. [url] - N. D. Vanli, M. O. Sayin, S. Ergut, and S. S. Kozat, “Comprehensive lower bounds on sequential prediction,” in
**EUSIPCO**, 2014. [url] - M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Logarithmic regret bound over diffusion based distributed estimation,” in
**IEEE ICASSP**, 2014. [url] - M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Improved convergence performance of adaptive algorithms through logarithmic cost,” in
**IEEE ICASSP**, 2014. [url] - M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Robust set-membership filtering algorithms against impulsive noise,” in
**IEEE SIU**, 2014. [url] - M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Performance analysis of scalar diffusion strategy over distributed networks,” in
**IEEE SIU**, 2014. [url] - N. D. Vanli, M. O. Sayin, and S. S. Kozat, “Competitive linear MMSE estimation under structured data uncertainties,” in
**IEEE SIU**, 2014. [url]