## Chapters in Edited Volumes

- A. Ozdaglar, M. O. Sayin and K. Zhang. Independent Learning in Stochastic Games. In the
**International Congress of Mathematicians**2022 (ICM’22), available at arXiv:2111.11743. [url] - 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]

## Journals

- M. O. Sayin, F. Parise, and A. Ozdaglar, “Fictitious Play in Zero-sum Stochastic Games,”
**SIAM J. Cont. Opt.**, 2022. [url][poster] - M. O. Sayin and T. Başar, “Bayesian Persuasion with State-Dependent Quadratic Cost Measures,”
**IEEE Trans. Automatic Control**, 2021. [url] - M. O. Sayin and T. Başar, “Persuasion-based Robust Sensor Design Against Attackers with Unknown Control Objectives,”
**IEEE Trans. Automatic Control**, 2021. [url] - M. O. Sayin, et al., “Reliable Smart Road Signs,”
**IEEE Trans. Intell. Transp. Syst.**, 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, et al., “Information-driven Autonomous Intersection Control via Incentive Compatible Mechanisms,”
**IEEE Trans. Intell. Transp. Syst.**, 2019. [url] - N. D. Vanli, M. O. Sayin, et al., “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 Process.**, 2019. [url] - M. O. Sayin, et al., “Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks,”
**IEEE Trans. Netw. Sci. Eng.**, 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 Process.**, 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 Process.**, 2017. [url] - N. D. Vanli, M. O. Sayin, et al., “Sequential Nonlinear Learning for Distributed Multi-Agent Systems via Extreme Learning Machines,”
**IEEE Trans. Neural Net. Learn. Syst.**, 2017. [url] - N. D. Vanli, K. Gokcesu, M. O. Sayin, et al., “Sequential Prediction Over Hierarchical Structures,”
**IEEE Trans. Signal**Process., 2016. [url] - O. F. Kilic, M. O. Sayin, et al., “Computationally Highly Efficient Mixture of Adaptive Filters,”
**Signal Image Video Process.**, 2016. [url] - M. O. Sayin, et al., “Krylov Proportionate Normalized Least Mean Fourth Approach: Formulation and Performance Analysis,”
**Signal Process.**, 2015. [url] - M. O. Sayin and S. S. Kozat, “Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load,”
**IEEE Trans. Signal Process.**, 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 Trans. Signal Process.**, 2014. [url] - M. O. Sayin and S. S. Kozat, “Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks,”
**IEEE Signal Process. Lett.**, 2013. [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

- 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,” to appear in
*Design, Automation and Test in Europe Conference*(**DATE**), 2023. - 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”, to appear 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, et al., “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, et al., “Reliable Intersection Control in Non-cooperative Environments,” in
**ACC**, 2018.[url] - B. Zheng, M. O. Sayin, et al., “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, et al., “Mixture of Set Membership Filters Approach for Big Data Signal Processing,” in
**IEEE SIU**, 2016. [url]**[Best Student Paper Award]** - M. O. Sayin, et al., “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, et al., “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, et al., “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]