Other lists: Selected publications, Journals, Conferences, arXiv, and Google Scholar

Complete List of Publications

Patent

[Pa2] Data-enabled Inverse Imitation Learning for Control: S. A. Akhtar and P. Mohajerin Esfahani
Patent applied for EPO-EP-83565NL2, filled on 16 November 2020
[Pa1] Intrusion Detection in Electric Power Networks: Peyman Mohajerin Esfahani, Maria Vrakopoulou, Goran Andersson, and John Lygeros
Patent applied for PCT-EP-13002162, filed on 22 July 2013
>> Selected for the Spark Award for the top 20 best inventions of the year

Preprints

[P6] Fault Isolation for the Ink Deposition Process in High-End Industrial Printers: Casper van Peijpe, Farhad Ghanipoor, Youri de Loore, Pim Hacking, Nathan van de Wouw, and Peyman Mohajerin Esfahani
submitted for publication, December 2024, [arXiv]
[P5] Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity: Mohammad Boveiri and Peyman Mohajerin Esfahani
submitted for publication, August 2024, [arXiv]
[P4] Adaptive Accelerated Composite Minimization: Reza Rahimi Baghbadorani, Sergio Grammatico, and Peyman Mohajerin Esfahani
submitted for publication, May 2024, [arXiv]
[P3] Model Updating for Nonlinear Systems with Stability Guarantees: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wouw
submitted for publication, June 2024, [arXiv]
[P2] Offline Reinforcement Learning via Inverse Optimization: Ioannis Dimanidis, Tolga Ok, and Peyman Mohajerin Esfahani
submitted for publication, May 2024, [Code]
[P1] From Optimization to Control: Quasi Policy Iteration: Amin Kolarijani and Peyman Mohajerin Esfahani
submitted for publication, November 2023, [arXiv]

Journals

[46] Fast Algorithm for Constrained Linear Inverse Problems: Mohammad Rayyan Sheriff, Floor Redel, and Peyman Mohajerin Esfahani
Journal of Machine Learning Research (JMLR), minor revision, 2025, [arXiv], [Code]
[J45] Nonlinear Distributionally Robust Optimization: Mohammad Rayyan Sheriff and Peyman Mohajerin Esfahani
Mathematical Programming (MP), 2024, [Link], [arXiv], [Code]
[J44] Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms: Pedro Zattoni Scroccaro, Bilge Atasoy, and Peyman Mohajerin Esfahani
Operations Research (OR), 2024, [Link], [arXiv], [Code]
[J43] Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms: Robert D. McAllister and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), 2024, [Link], [arXiv], [Code]
[J42] Inverse Optimization for Routing Problems: Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
Transportation Science, 2024, [Link], [arXiv], [Code]
[J41] Robust Fault Estimation with Structured Uncertainty: Scalable Algorithms and Experimental Validation in Automated Vehicles: Chris van der Ploeg, Emilia Silvas, Peyman Mohajerin Esfahani, and Nathan van de Wouw
IEEE Transactions on Control Systems and Technology (TCST), minor revision, 2024
>> Experiment Video
[J40] Robust Multivariate Detection and Estimation with Fault Frequency Content Information: Jingwei Dong, Kaikai Pan, Sergio Pequito, and Peyman Mohajerin Esfahani
Automatica, 2024, [arXiv]
[J39] Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems: Jingwei Dong, Yucheng Liao, Haiwei Xie, Jochen Cremer, Peyman Mohajerin Esfahani
IEEE Transactions on Control Systems and Technology (TCST), 2024, [Link], [arXiv]
[J38] Robust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wouw
Automatica, 2024, [Link], [arXiv]
[J37] Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming: Sasan Vakili, Mohammad Khosravi, Peyman Mohajerin Esfahani, and Manuel Mazo
IEEE Control Systems Letters, vol. 8, pp. 73 - 78, 2023, [Link]
[J36] Multimode Diagnosis for Switched Affine Systems with Noisy Measurement: Jingwei Dong, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
Automatica, vol. 151, 2023, [Link], [arXiv]
[J35] Fast Approximate Dynamic Programming for Input-Affine Dynamics: Amin Kolarijani and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 68, no. 10, pp. 6315 - 6322, 2023, [Link], [arXiv], [Code]
[J34] Adaptive Online Optimization with Predictions: Static and Dynamic Environments: Pedro Zattoni Scroccaro, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 68, no. 5, pp. 2906-2921, 2023, [Link], [arXiv]
[J33] Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds: Chris van der Ploeg, Mohsen Alirezaie, Nathan van de Wouw, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 67, no. 9, pp. 4916 - 4923, 2022, [Link], [arXiv]
[J32] A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks: Gert van Lagen, Edo Abraham, and Peyman Mohajerin Esfahani
IEEE Transactions on Control Systems and Technology (TCST), vol. 31, no. 2, pp. 761-771, 2023, [Link]
[J31] Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization: Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, and Peyman Mohajerin Esfahani
Mathematics of Operations Research (MOR), vol. 48, no. 1, pp. 1-37, 2023, [Link], [arXiv]
[J30] Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation: Mohammad Saeed Sarafraz, Anton Proskurnikov, Mohammad Saleh Tavazoei, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 67, no. 7, pp. 3529-3536, 2022, [Link], [arXiv]
[J29] Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems: Chris van der Ploeg, Emilia Silvas, Nathan van de Wouw, and Peyman Mohajerin Esfahani
IEEE Control Systems Letters, vol. 6, pp. 1988-1993, 2021, [Link], [arXiv]
[J28] Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach: Kaikai Pan, Peter Palensky, and Peyman Mohajerin Esfahani
IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 1500-1515, 2022, [Link], [arXiv]
[J27] Learning for Control: An Inverse Optimization Approach: Syed Adnan Akhtar, Arman Sharifi Kolarijani and Peyman Mohajerin Esfahani
IEEE Control Systems Letters, vol. 6, pp. 187-192, 2021 [Link], [Code]
[J26] Learning Robust Controllers for Linear Quadratic Systems with Multiplicative Noise via Policy Gradient: Benjamin Gravell, Peyman Mohajerin Esfahani, and Tyler Summers
IEEE Transactions on Automatic Control (TAC), vol. 66, no. 11, pp. 5283-5298, 2021, [Link], [arXiv]
[J25] From Data to Decisions: Distributionally Robust Optimization is Optimal: Bart Van Parys, Peyman Mohajerin Esfahani, and Daniel Kuhn
Management Science (MS), vol. 67, no. 6, pp. 3387-3402, 2021, [Link], [arXiv]
[J24] Macroscopic Noisy Bounded Confidence Models with Distributed Radical Opinions: Amin Kolarijani, Anton Proskurnikov, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 66, no. 3, pp. 1174-1189, 2021, [Link], [arXiv]
[J23] Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator: Viet Anh Nguyen, Daniel Kuhn, and Peyman Mohajerin Esfahani
Operations Research (OR), vol. 70, no. 1, pp. 490-515, 2021, [Link], [arXiv], [Code]
>> Winner of the 2018 George Nicholson Outstanding Student Paper
[J22] A Decentralized Event-based Mechanism for Robust Model Predictive Control: Arman Sharifi Kolarijani, Sander Bregman, Peyman Mohajerin Esfahani, and Tamas Keviczky
IEEE Transactions on Automatic Control (TAC), vol. 65, no. 8, pp. 3517-3529, 2020, [Link], [arXiv]
[J21] Continuous Time Accelerated Methods via a Hybrid Control Lens: Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, and Tamas Keviczky
IEEE Transactions on Automatic Control (TAC), vol. 65, no. 8, pp. 3425-3440, 2020, [Link], [arXiv]
[J20] From Static to Dynamic Anomaly Detection with Application to Power System Cyber Security: Kaikai Pan, Peter Palensky, and Peyman Mohajerin Esfahani
IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1584-1596, 2020,[Link], [arXiv]
[J19] Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning: Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, and Soroosh Shafieezadeh Abadeh
INFORMS Tutorials in Operations Research, pp. 130-166, 2019, [Link], [arXiv]
[J18] Generalized Maximum Entropy Estimation: Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, and John Lygeros
Journal of Machine Learning Research (JMLR), vol. 20, no. 138, pp. 1-29, 2019, [Link], [arXiv]
[J17] Regularization via Mass Transportation: Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, and Peyman Mohajerin Esfahani
Journal of Machine Learning Research (JMLR), vol. 20, no. 103, pp. 1−68, 2019, [Link], [arXiv], [Code]
[J16] UWB Orthogonal Pulse Design using Sturm-Liouville Boundary Value Problem: Arash Amini, Peyman Mohajerin Esfahani, Mohammad Ghavami, and Farokh Marvasti
Signal Processing, vol. 159, pp. 147–158, 2019, [Link]
[J15] Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations: Peyman Mohajerin Esfahani and Daniel Kuhn
Mathematical Programming, vol. 171, no. 1, pp. 115-166, 2018, [Link], [arXiv]
>> The 2020 INFORMS Frederick W. Lanchester Prize
>> MOSEK Jupyter Notebook and Video
[J14] From Infinite to Finite Programs: Explicit Error Bounds with an Application to Approximate Dynamic Programming: Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, and John Lygeros
SIAM Journal on Optimization (SIOPT), vol. 28, no. 3, pp. 1968-1998, 2018, [Link], [arXiv]
[J13] LQG Control With Minimum Directed Information: Semidefinite Programming Approach: Takashi Tanaka, Peyman Mohajerin Esfahani, and Sanjoy Mitter
IEEE Transactions on Automatic Control (TAC), vol. 63, no. 1, pp. 37-52, 2018, [Link], [arXiv]
[J12] Data-driven Inverse Optimization with Imperfect Information: Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani A. Hanasusanto, and Daniel Kuhn
Mathematical Programming, vol. 167, no. 1, pp. 191-234, 2018, [Link], [arXiv], [Code]
[J11] On Infinite Linear Programming Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems: Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Control Systems Letters, vol. 1, no. 1, pp. 134-139, 2017, [Link], [arXiv]
[J10] Approximation of Stochastic Hybrid Systems: A Compositional Approach: Majid Zamani, Mattias Rungger, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 62, no. 6, pp. 2838-2853, 2017, [Link], [arXiv]
[J9] The Stochastic Reach-Avoid Problem and Set Characterization for Diffusions: Peyman Mohajerin Esfahani, Debasish Chatterjee, and John Lygeros
Automatica, vol. 70, pp. 43-56, 2016, [Link], [arXiv]
[J8] Motion Planning for Continuous Time Stochastic Processes: A Dynamic Programming Approach: Peyman Mohajerin Esfahani, Debasish Chatterjee, and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 61, no. 8, pp. 2155-2170, 2016 [Link], [arXiv]
[J7] Efficient Approximation of Quantum Channel Capacities: David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, and Renato Renner
IEEE Transactions on Information Theory (TIT), vol. 62, no. 1, pp. 578-598, 2016, [Link], [arXiv]
[J6] A Decomposition Method for Large Scale MILPs, with Performance Guarantees and a Power System Application: Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Sebastian Mariethoz, and Manfred Morari
Automatica, vol. 67, pp. 144-156, 2016, [Link], [arXiv]
[J5] A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance: Peyman Mohajerin Esfahani and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 61, no. 3, pp. 633-647, 2016, [Link], [arXiv]
[J4] Efficient Approximation of Channel Capacities: Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Transactions on Information Theory (TIT), vol. 61, no. 4, pp. 1649-1666, 2015, [Link], [arXiv]
[J3] Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs: Peyman Mohajerin Esfahani, Tobias Sutter, and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 60, no. 1, pp. 46-58, 2015, [Link], [arXiv]
>> The 2016 George S. Axelby Outstanding Paper Award
[J2] Symbolic Control of Stochastic Systems via Approximately Bisimilar Finite Abstractions: Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 59, no. 12, pp. 3135-3150, 2014, [Link], [arXiv]
[J1] Optimal State-Feedback Design for Nonlinear Feedback-Linearizable Systems: Peyman Mohajerin Esfahani, Farhad Farokhi, Masoud Karimi-Ghartemani
IET Control Theory & Applications, vol. 5, no. 2, pp. 323-333, 2011, [Link]

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.

Peer Reviewed Conferences

[C49] Scalable Kernel Inverse Optimization: Youyuan Long, Tolga Ok, Pedro Zattoni Scroccaro, and Peyman Mohajerin Esfahani
Neural Information Processing Systems (NeurIPS), December 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), Milan, Italy, December 2024
[C47] A Kernel-Based Approach to Data-Driven Actuator Fault Estimation: Amiin Sheikhi, Peyman Mohajerin Esfahani, and Tamas Keviczky
IFAC-PapersOnLine, January 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), Stockholm, Sweden, June 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), Crete, Greece, June 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), Yokohama, Japan, July 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), Cancun, Mexico, December 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), Cancun, Mexico, December 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, Rotterdam, The Netherlands, May, 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), December 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), Vienna, Austria, July 2021, [arXiv], [Code]
[C38] Multimode Diagnosis for Switched Affine Systems: Jingwei Dong, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
American Control Conference (ACC), New Orleans, USA, May 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), Berlin, Germany, July 2020
[C36] Long-term Behavior of Mean-field Noisy Bounded Confidence Models with Distributed Radicals: Amin Kolarijani, Anton Proskurnikov, and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), Nice, France, December 2019
[C35] Robust Linear Quadratic Regulator: Exact Tractable Reformulation: Wouter Jongeneel, Tyler Summers, and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), Nice, France, December 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), Nice, France, December 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), Miami Beach, USA, December 2018
[C32] Security versus Privacy: Farhad Farokhi and Peyman Mohajerin Esfahani
IEEE Conference on Decision and Control (CDC), Miami Beach, USA, December 2018
[C31] Wasserstein Distributionally Robust Kalman Filtering: Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, and Peyman Mohajerin Esfahani
Neural Information Processing Systems (NeurIPS), Montreal, Canada, December 2018, [arXiv], [Code]
>> Spotlight presentation (top 4%)
[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), Stockholm, Sweden, July 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, Nagoya, Japan, July 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), Melbourne, Australia, December 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), Melbourne, Australia, December 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), Toulouse, France, July 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), Las Vegas, USA, December 2016
[C24] Distributionally Robust Logistic Regression: Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, and Daniel Kuhn
Neural Information Processing Systems (NeurIPS), Montreal, Canada, December 2015, [arXiv]
>> Spotlight presentation (top 4%)
[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), Osaca, Japan, December 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, Seville, Spain, September 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), Los Angeles, California, USA, December 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), Los Angeles, California, USA, December 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), Palermo, Italy, March 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), Honolulu, Hawaii, USA, July 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), Honolulu, Hawaii, USA, July 2014
[C16] Model Based Power Optimisation of Wind Farms: Flavio Heer, Peyman Mohajerin Esfahani, Maryam Kamgarpour, and John Lygeros
European Control Conference (ECC), Strasbourg, France, June 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), Florence, Italy, December 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), Florence, Italy, December 2013
[C13] Analysis of Controlled Biological Switches via Stochastic Motion Planning: Peyman Mohajerin Esfahani, Andreas Milias-Argeitis, and Debasish Chatterjee
European Control Conference (ECC), Zurich, Switzerland, July 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), Zurich, Switzerland, July 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), Washington, USA, June 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), Washington, USA, June 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), Maui, Hawaii, USA, December 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), Eindhoven, Netherland, June 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
Innovative Smart Grid Technologies (ISGT), IEEE PES, January 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), Orlando, Florida, USA, December 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), Atlanta, Georgia, USA, Dec 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), Baltimore, USA, June 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), Kobe, Japan, May 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, Seoul, S. Korea, Jul 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</em>, Kumamoto Japan, May 2007

Technical Reports

[TR1] Distance Based Source Domain Selection for Sentiment Classification: Lex Razoux Schultz, Marco Loog, and Peyman Mohajerin Esfahani
Auguest 2018, [arXiv]
[TR2] The Nonconvex Geometry of Linear Inverse Problems: Armin Eftekhari and Peyman Mohajerin Esfahani
January 2021, [arXiv]

Thesis

[T2] Stochastic Motion Planning for Diffusions & Fault Detection and Isolation for Large Scale Nonlinear Systems: Peyman Mohajerin Esfahani
Ph.D. Thesis, Department of Information Technology and Electrical Engineering, ETH Zurich, January 2014
[T1] An Optimal Control Design for Input-Affine Nonlinear Systems (in Persian): Peyman Mohajerin Esfahani
M.Sc. Thesis, Department of Electrical Engineering, Sharif University of Technology, December 2007