Other lists: Selected publications, Journals, Complete list, arXiv, and Google Scholar

Peer Reviewed Conferences and Book Chapters

Peer Reviewed Conferences

[C59] Rate or Fate? RLV\(^\varepsilon\)R: Reinforcement Learning with Verifiable Noisy Rewards: Ali Rad, Khashayar Filom, Darioush Keivan, Peyman Mohajerin Esfahani, and Ehsan Kamalinejad
International Conference on Machine Learning (ICML), 2026, [arXiv], [Blog]
\(\Rightarrow\) Spotlight Paper

[C58] G\(^2\)RPO: Geometric GRPO Escaping LLM’s Reasoning Rut to Break Accuracy–Entropy Trade-off: Ali Rad, Khashayar Filom, Darioush Keivan, Peyman Mohajerin Esfahani, and Ehsan Kamalinejad
International Conference on Machine Learning (ICML), 2026, [arXiv]

[C57] Leveraging Statistical Prior Knowledge in Adaptive Control of Nonlinear Systems: Mohammad Boveiri, Mohammad Khosravi, and Peyman Mohajerin Esfahani
European Control Conference (ECC), 2026

[C56] A Hybrid Algorithm for Monotone Variational Inequalities: Reza Rahimi Baghbadorania, Peyman Mohajerin Esfahani, and Sergio Grammaticoa
European Control Conference (ECC), 2026

[C55] Input Design for System Order Estimation: Mohammad Amin Sheikhi, Gabriel Gleizer, Peyman Mohajerin Esfahani, and Tamas Keviczky
International Federation of Automatic Control (IFAC), 2026

[C54] Rank-One Modified Value Iteration: Arman S. Kolarijani, Tolga Ok, Peyman Mohajerin Esfahani, and Mohamad Amin Sharifi Kolarijan
International Conference on Machine Learning (ICML), 2025, [Link], [arXiv]

[C53] Inverse Optimization via Learning Feasible Regions: Ke Ren, Peyman Mohajerin Esfahani, and Angelos Georghiou
International Conference on Machine Learning (ICML), 2025, [Link], [arXiv]

[C52] User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model: Arghya Mallick, Georgios Pantazis, Mohammad Khosravi, Peyman Mohajerin Esfahani, and Sergio Grammatico
IEEE International Conference on Automation Science and Engineering, 2025

[C51] A Hybrid Algorithm for Monotone Variational Inequalities: Reza Rahimi Baghbadorania, Peyman Mohajerin Esfahani, and Sergio Grammatico
European Control Conference (ECC), 2025

[C50] monviso: A Python Package for Solving Monotone Variational Inequalities: Nicola Mignoni, Reza Rahimi Baghbadorani, Raffaele Carli, Peyman Mohajerin Esfahani, Mariagrazia Dotoli, and Sergio Grammatico
European Control Conference (ECC), 2025, [Code]

[C49] Scalable Kernel Inverse Optimization: Youyuan Long, Tolga Ok, Pedro Zattoni Scroccaro, and Peyman Mohajerin Esfahani
Neural Information Processing Systems (NeurIPS), 2024, [Link], [arXiv], [Code]

[C48] Harmonic RL: A Frequency-Domain Approach to Reinforcement Learning with Application to Active Knee Prosthesis: Can Cetindag, Robert D. McAllister, and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), 2024

[C47] A Kernel-Based Approach to Data-Driven Actuator Fault Estimation: Amiin Sheikhi, Peyman Mohajerin Esfahani, and Tamas Keviczky
IFAC-PapersOnLine, 2024

[C46] Uncertainty Learning for LTI Systems with Stability Guarantees: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wouw
European Control Conference (ECC), 2024

[C45] Fast Adaptive First-Order Semidefinite Programming for Data-Driven Linear Quadratic Regulation: Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
Mediterranean Conference on Control and Automation (MED), 2024

[C44] Linear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wouw
World Congress of the International Federation of Automatic Control (IFAC), 2023

[C43] Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wou
IEEE Conference on Decision and Control (CDC), 2022

[C42] Data-Driven Stability Verification of Homogeneous Nonlinear Systems with Unknown Dynamics: Abolfazl Lavaei, Peyman Mohajerin Esfahani, and Majid Zamani
IEEE Conference on Decision and Control (CDC), 2022

[C41] Health monitoring: a machine learning approach for anomaly detection in multi-sensor networks: Bram Hajee, Kees Wisse, and Peyman Mohajerin Esfahani
REHVA HVAC World Congress CLIMA, 2022

[C40] Fast Approximate Dynamic Programming for Infinite-Horizon Continuous-State Markov Decision Processes: Amin Kolarijani, Gyula Max, and Peyman Mohajerin Esfahani
Neural Information Processing Systems (NeurIPS), 2021, [Link], [arXiv], [Code]

[C39] Principal Component Hierarchy for Sparse Quadratic Programs: Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
International Conference on Machine Learning (ICML), 2021, [arXiv], [Code]

[C38] Multimode Diagnosis for Switched Affine Systems: Jingwei Dong, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
American Control Conference (ACC), 2021

[C37] Robust Control Design for Linear Systems via Multiplicative Noise: Benjamin Gravell, Peyman Mohajerin Esfahani, and Tyler Summers
World Congress of the International Federation of Automatic Control (IFAC), 2020

[C36] Long-term Behavior of Mean-field Noisy Bounded Confidence Models with Distributed Radicals: Amin Sharifi Kolarijani, Anton Proskurnikov, and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), 2019

[C35] Robust Linear Quadratic Regulator: Exact Tractable Reformulation: Wouter Jongeneel, Tyler Summers, and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), 2019

[C34] A Linear Programming Approach to Design Online Triggering Mechanisms for Robust MPC: Arman Sharifi Kolarijani, Sander Bregman, Peyman Mohajerin Esfahani, and Tamas Keviczky
IEEE Conference on Decision and Control (CDC), 2019

[C33] A Hybrid Control Framework for Fast Methods under Invexity: Non-Zeno Trajectories with Arbitrary Exponential Rate: Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, and Tamas Keviczky
IEEE Conference on Decision and Control (CDC), 2018

[C32] Security versus Privacy: Farhad Farokhi and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), 2018

[C31] Wasserstein Distributionally Robust Kalman Filtering: Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, and Peyman Mohajerin Esfahani
Neural Information Processing Systems (NeurIPS), 2018, [arXiv], [Code]
\(\Rightarrow\) Spotlight Paper

[C30] Fast Gradient-based Methods with Exponential Rate: a Hybrid Control Framework: Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, and Tamas Keviczky
International Conference on Machine Learning (ICML), 2018

[C29] IPMC Kirigami: a Distributed Actuation Concept: Andres Hunt, Mirte Freriks, Luigi Sasso, Peyman Mohajerin Esfahani, and Hassan HosseinNia
International Conference on Manipulation, Automation and Robotics at Small (MARSS) Scales, 2018

[C28] Data-driven approximate dynamic programming: A linear programming approach: Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Conference on Decision and Control (CDC), 2017

[C27] On Infinite Linear Programming Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems: Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Conference on Decision and Control (CDC), 2017

[C26] Maximum Entropy Estimation via Gauss-LP Quadratures: Maxim Thely, Tobias Sutter, P. Mohajerin Esfahani, and John Lygeros
World Congress of the International Federation of Automatic Control (IFAC), 2017

[C25] Three-Stage Separation Theorem for Information-frugal LQG Control: Takashi Tanaka, Peyman Mohajerin Esfahani, and Sanjoy Mitter
IEEE Conference on Decision and Control (CDC), 2016

[C24] Distributionally Robust Logistic Regression: Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, and Daniel Kuhn
Neural Information Processing Systems (NeurIPS), 2015, [arXiv]
\(\Rightarrow\) Spotlight Paper

[C23] Construction of Approximations of Stochastic Control Systems: A Compositional Approach: Majid Zamani, Mattias Rungger, and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), 2015

[C22] Stochastic Nonlinear Model Predictive Control of an Uncertain Batch Polymerization Reactor: Vahab Rostampour, Peyman Mohajerin Esfahani, and Tamas Keviczky
IFAC Conference on Nonlinear Model Predictive Control, 2015

[C21] Approximation of Constrained Average Cost Markov Control Processes: Tobias Sutter, Peyman Mohajerin Esfahani, and J. Lygeros
IEEE Conference on Decision and Control (CDC), 2014

[C20] Electric Vehicles Aggregator Optimization: a Fast and Solver-Free Solution Method: Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, and Manfred Morari
IEEE Conference on Decision and Control (CDC), 2014

[C19] Large Scale Mixed-Integer Optimization: a Solution Method with Supply Chain Applications: Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, and Manfred Morari
Mediterranean Conference on Control & Automation (MED), 2014

[C18] Capacity Approximation of Memoryless Channels with Countable Output Alphabets: Tobias Sutter, Peyman Mohajerin Esfahani, David Sutter, and J. Lygeros
IEEE International Symposium on Information Theory (ISIT), 2014

[C17] Efficient Approximation of Discrete Memoryless Channel Capacities: David Sutter, Peyman Mohajerin Esfahani, Tobias Sutter, and J. Lygeros
IEEE International Symposium on Information Theory (ISIT), 2014

[C16] Model Based Power Optimisation of Wind Farms: Flavio Heer, Peyman Mohajerin Esfahani, Maryam Kamgarpour, and John Lygeros
European Control Conference (ECC), 2014

[C15] Fault Detection with Discrete-time Measurements: an Application for the Cyber Security of Power Networks: Erasmia Evangelia Tiniou, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Conference on Decision and Control (CDC), 2013

[C14] Bisimilar Finite Abstractions of Stochastic Control Systems: Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, and John Lygeros
IEEE Conference on Decision and Control (CDC), 2013

[C13] Analysis of Controlled Biological Switches via Stochastic Motion Planning: Peyman Mohajerin Esfahani, Andreas Milias-Argeitis, and Debasish Chatterjee
European Control Conference (ECC), 2013

[C12] Symbolic Models for Stochastic Control Systems without Stability Assumptions: Majid Zamani, Peyman Mohajerin Esfahani, Alessandro Abate, and John Lygeros
European Control Conference (ECC), 2013

[C11] A Robust Fault Detection and Isolation Filter for a Horizontal Axis Variable Speed Wind Turbine: Bratislav Svetozarevic, Peyman Mohajerin Esfahani, Maryam Kamgarpour, and John Lygeros
American Control Conference (ACC), 2013

[C10] Adaptively Constrained Stochastic Model Predictive Control for Closed-Loop Constraint Satisfaction: Frauke Oldewurtel, David Sturzenegger, Peyman Mohajerin Esfahani, Goran Andersson, Manfred Morari, and John Lygeros
American Control Conference (ACC), 2013

[C9] A Tractable Nonlinear Fault Detection and Isolation Technique with Application to the Cyber-Physical Security of Power Systems: Peyman Mohajerin Esfahani, Maria Vrakopoulou, Goran Andersson, and John Lygeros
IEEE Conference on Decision and Control (CDC), 2012

[C8] Hybrid Modelling and Reachability on Autonomous RC-Cars: Tony Wood, Peyman Mohajerin Esfahani, and John Lygeros
IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), 2012, [Videos]

[C7] Cyber-security of SCADA systems: Goran Andersson, Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros Andre Teixeira, Gyorgy Dan, Henrik Sandberg, and Karl H. Johansson
IEEE PES Innovative Smart Grid Technologies (ISGT), 2012

[C6] On a Problem of Stochastic Reach-Avoid Set Characterization: Peyman Mohajerin Esfahani, Debasish Chatterjee, and John Lygeros
IEEE Conference on Decision and Control (CDC), 2011

[C5] A Robust Policy for Automatic Generation Control Cyber Attack in Two Area Power Network: Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, and Goran Andersson
IEEE Conference on Decision and Control (CDC), 2010

[C4] Cyber Attack in a Two-Area Power System: Impact Identification using Reachability: Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, and Goran Andersson
American Control Conference (ACC), 2010

[C3] An Optimal Approach in Control of Robotic Manipulator: Peyman Mohajerin Esfahani, Masoud Karimi Ghartemani, and Mehrzad Namvar
IEEE International Conference on Robotic and Automation (ICRA), 2009

[C2] A Suboptimal Controller Design Methodology for Input-Output Feedback-Linearizable Systems: Peyman Mohajerin Esfahani and Masoud Karimi Ghartemani
the 17th IFAC World Congress, 2008

[C1] Optimum Design of Fractional Order PID for MIMO and SISO Systems Using Particle Swarm Optimization Techniques: Naser Sadati, Majid Zamani, and Peyman Mohajerin Esfahani
Mechatronics, ICM2007 4th IEEE International Conference, 2007

Book Chapters

[B1] Cyber-Attacks in the Automatic Generation Control: Maria Vrakopoulou, Peyman Mohajerin Esfahani, Kostas Margelos, John Lygeros, and Goran Andersson
Cyber Physical Systems Approach to Smart Electric Power Grid, Understanding Complex Systems (K. Khaitan, D. McCalley, and C. Liu Editors), Springer-Verlag Inc., 2015