CV
Academic curriculum vitae covering research, publications, teaching, service, and awards.
Contact Information
| Name | Moein Sarbandi |
| Professional Title | MSCA Doctoral Researcher in Automatic Control |
| moein.sarbandi@ec-nantes.fr | |
| Location | Nantes, Pays de la Loire |
| Website | https://moeinsarbandi.github.io |
Professional Summary
PhD researcher at LS2N (CODEx group), École Centrale Nantes, funded by the DENSE Doctoral Network under the Marie Skłodowska-Curie Actions. My research develops robust, data-driven, and learning-enhanced control methods for uncertain nonlinear systems, with applications to floating offshore wind turbines.
Experience
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2024 - present Nantes, France
PhD Researcher — MSCA Fellow, DENSE Doctoral Network
LS2N (CODEx group), École Centrale Nantes
Robust, data-driven, and learning-based control of uncertain nonlinear systems, with application to floating offshore wind turbines.
- Adaptive and robust sliding-mode control, CLF-QP, and nonlinear observer design
- Data-driven control using Willems’ Fundamental Lemma, robust informativity, Koopman methods, and DeePC
- Neural-network-augmented control with rigorous stability guarantees
- Validation using MATLAB/Simulink, OpenFAST, and experimental software-in-the-loop platforms
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2026 - 2026 Cyprus
Research Secondment (planned)
Cyprus University of Technology
DENSE network secondment hosted by Dr. Petros Aristidou, planned alongside MEDPOWER 2026.
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2026 - 2026 Nantes, France
Course and Lab Instructor — NOLCO
École Centrale Nantes — EU-CORE Master Programme
Scheduled co-instructor with Prof. Franck Plestan for nonlinear control of wind turbines; role expanded from laboratory instruction to course and lab instruction.
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2025 - 2025 Cottbus, Germany
Research Secondment
Brandenburg University of Technology Cottbus-Senftenberg (BTU)
Data-driven control research within the DENSE network, hosted by Prof. Johannes Schiffer and Dr. Juan E. Machado.
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2025 - present Nantes, France
Supervisor of MSc Students
École Centrale Nantes — EU-CORE Master Programme
Define research projects and hold weekly supervision meetings with students in the European Master in Control of Renewable Energy Systems.
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2025 - 2025 Nantes, France
Course Instructor — SIMUS (Introduction to MATLAB & Simulink)
École Centrale Nantes
- Course teaching, homework design and grading, and exam design and grading
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2025 - 2025 Nantes, France
Lab Instructor — NOLCO (Nonlinear Control Lab for Wind Turbines)
École Centrale Nantes — EU-CORE Master Programme
- Co-instructor with Prof. Franck Plestan
- Two-part laboratory covering aerodynamic control and PMSG electrical control
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2021 - 2022 Tehran, Iran
Teaching Assistant — Optimal Control
K. N. Toosi University of Technology
- Course teaching, project design and grading, and exam and quiz design and grading
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2021 - 2021 Tehran, Iran
Teaching Assistant — System Identification
K. N. Toosi University of Technology
- Course teaching, homework design and grading, and course website maintenance
Education
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2024 - 2027 Nantes, France
PhD
École Centrale Nantes
Automatic Control
- Thesis: Robust, Data-Driven, and Learning-Based Control of Uncertain Nonlinear Systems, with Application to Floating Wind Turbines
- Supervisors: Prof. Franck Plestan and Prof. Mohamed Assaad Hamida
- Marie Skłodowska-Curie Actions Doctoral Fellow in the DENSE Doctoral Network
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2019 - 2022 Tehran, Iran
MSc
K. N. Toosi University of Technology
Electrical Engineering — Control
- Average: 18.36/20; CGPA: 3.88/4
- Thesis: Sensitivity Analysis of Components of a Wind Turbine Using Monte Carlo Simulation
- Supervisor: Prof. Hamid Khaloozadeh
Academic Interests
Adaptive and Robust Nonlinear Control: Integral sliding-mode control, super-twisting, adaptive-gain methods, CLF-QP
Data-Driven Control: Willems' Fundamental Lemma, robust informativity, QMI/S-lemma, Koopman-operator methods
Learning-Based Control: Online neural networks integrated with classical sliding-mode design
Predictive Control: Model predictive control and data-enabled predictive control (DeePC)
Nonlinear Observer Design: Second-order sliding-mode observers for state and disturbance estimation
Applications: Renewable-energy systems, particularly floating offshore wind turbines
Honors and Awards
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2022 Ranked 2nd among all MSc students in Control Engineering
K. N. Toosi University of Technology
University-wide academic ranking, Tehran Province, Iran.
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2019 Ranked among the top 1.2% nationally in the MSc entrance examination
National Organization of Educational Testing, Iran
National university entrance examination for the MSc degree in Electrical Engineering, among approximately 14,000 participants nationwide.
Publications
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2026 Under-Review Manuscript (Title Withheld)
Manuscript under review
With M. A. Hamida, N. Sacchi, E. Vacchini, A. Ferrara, and F. Plestan. Broad topic: learning-enhanced robust control for wind-energy applications. Technical details are intentionally omitted pending publication.
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2026 Ongoing Manuscript (Title Withheld)
Manuscript in preparation
With J. E. Machado, J. Mendoza-Avila, M. A. Hamida, J. Schiffer, and F. Plestan. Broad topic: data-driven robust control. Technical details are intentionally omitted prior to submission.
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2026 Ongoing Theoretical Manuscript (Title Withheld)
Manuscript in preparation
Broad topic: data-driven control theory. Technical details are intentionally omitted prior to submission.
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2026 Wind Speed Estimation Using Second-Order Sliding-Mode Observers: Simulation and Experimental Validation on a Floating Offshore Wind Turbine
Wind Energy Science, vol. 11, pp. 2405-2425
Published research article; corresponding author.
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2026 Design of Tube Model Predictive Control for Heave Disturbance Mitigation in a Nonlinear Offshore Managed Pressure Drilling System
Journal of Ocean Engineering and Marine Energy, vol. 12, pp. 155-166
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2025 Design of Optimal Model-Free PI Controllers Using Metaheuristic Algorithms for a Distillation Column
International Journal of Dynamics and Control, vol. 13, article 312
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2024 Quantifying the Impact of Sensor Precision on Power Output of a Wind Turbine: A Sensitivity Analysis via Monte Carlo Simulation Study
Wind Engineering, vol. 48, no. 4, pp. 497-517
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2026 Nonlinear Control Framework for Grid-Connected PMSG-Based Floating Wind Turbines in the Above-Rated Wind Speed Region through OpenFAST Validation
Accepted at the 15th MEDPOWER Conference, Paphos, Cyprus
Accepted; scheduled for presentation by Moein Sarbandi.
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2026 Robust Control Based on a New Wind Speed Observer for Floating Wind Turbines
23rd IFAC World Congress, Busan, Republic of Korea
Presented by Moein Sarbandi; preprint available on HAL.
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2026 Online Power Coefficient Estimation in Wind Turbines via Adaptive Sliding-Mode Observers
18th International Workshop on Variable Structure Systems (VSS 2026), Exeter, UK
Published conference paper; presented by M. M. Shahir.
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2026 Control of Floating Offshore Wind Turbines via Control Lyapunov Function-Based Quadratic Programming and Adaptive Super-Twisting
TORQUE 2026; Journal of Physics: Conference Series, 3224(5), 052032
Presented by Moein Sarbandi.
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2025 Robust Control for Floating Wind Turbines Using Adaptive Super-Twisting Algorithm in Region III
2025 IEEE Mediterranean Conference on Control and Automation (MED), pp. 1-6
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2025 Predictive Super-Twisting Sliding Mode Control for Maximum Power Point Tracking of Floating Offshore Wind Turbines
2025 IEEE Mediterranean Conference on Control and Automation (MED), pp. 553-558
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2025 Robust Adaptive Super-Twisting Control for Floating Wind Turbines in Region III
Wind Energy Science Conference (WESC 2025)
Presented by Moein Sarbandi.
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2025 Designing a Predictive Super-Twisting Sliding Mode Control for Floating Offshore Wind Turbines in Region 2
Wind Energy Science Conference (WESC 2025)
Academic Service
- Journal reviewer (35+ reviews): Automatica, IEEE Transactions on Cybernetics, IEEE Transactions on Power Systems, IEEE Transactions on Aerospace and Electronic Systems, ISA Transactions, Energy, Scientific Reports, Energy Reports, The Journal of Supercomputing, and Wind Engineering
- Conference reviewer: IFAC World Congress 2026 and American Control Conference 2026
- Organizing committee member: Wind Energy Science Conference 2025, Nantes
Talks and Presentations
- Data-Based Sliding-Mode Control: From Estimation to Data-Driven Design — Journée CODEx internal seminar, École Centrale Nantes, Nantes, France (September 11, 2026)
- Data-Based Control Application to Wind Turbines — EU-CORE Winter School 2026, École Centrale Nantes, Nantes, France (February 2026)
- Novel Wind Speed Estimation Method for Wind Turbines Using the Sliding-Mode Approach — Journées Scientifiques de l’Éolien 2026, École Centrale Méditerranée, Marseille, France (February 2026)
- Data-Based Sliding-Mode Control — Application to Floating Offshore Wind Turbines — GDR MACS Workshop on Data-Driven Control and Analysis of Dynamical Systems, ENSEEIHT, Toulouse, France (October 2025)
- Tutorial: Introduction to OpenFAST with MATLAB/Simulink — Orientation Session for Incoming EU-CORE Students, École Centrale Nantes, Nantes, France (2025)
Certificates
- Nonlinear and Data-Driven Model Predictive Control - EECI International Graduate School on Control, CentraleSupélec Paris-Saclay (2026)
- Supervised Machine Learning — Regression and Classification - Coursera — Dr. Andrew Ng (2023)
- Advanced Learning Algorithms - Coursera — Dr. Andrew Ng (2023)
- Writing in the Sciences - Stanford Online — Dr. Kristin Sainani (2023)
Skills
Control Systems (Advanced): Sliding-mode control, nonlinear observers, data-driven control, adaptive neural-network control, model predictive control
Software and Simulation (Advanced): MATLAB, Simulink, OpenFAST, Python, TensorFlow, scikit-learn, NumPy, LaTeX
Research Tools (Advanced): Zotero, EndNote, Mendeley, Microsoft Office, technical documentation, experimental analysis
Languages
Persian : Native proficiency
English : C1 — IELTS Academic overall band 7.0
French : A1/A2 — basic conversational ability
References
- Prof. Franck Plestan
Professor and Dean of Research, LS2N, École Centrale Nantes
- Prof. Mohamed Assaad Hamida
Professor, École Centrale Nantes
- Prof. Hamid Khaloozadeh
Professor, K. N. Toosi University of Technology