CV

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

Research Secondment (planned)

Cyprus University of Technology

DENSE network secondment hosted by Dr. Petros Aristidou, planned alongside MEDPOWER 2026.

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.

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.

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.

Course Instructor — SIMUS (Introduction to MATLAB & Simulink)

École Centrale Nantes

• Course teaching, homework design and grading, and exam design and grading

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

Teaching Assistant — Optimal Control

K. N. Toosi University of Technology

• Course teaching, project design and grading, and exam and quiz design and grading

Teaching Assistant — System Identification

K. N. Toosi University of Technology

• Course teaching, homework design and grading, and course website maintenance

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 Dr. Mohamed Assaad Hamida
• Marie Skłodowska-Curie Actions Doctoral Fellow in the DENSE Doctoral Network

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

Ranked 2nd among all MSc students in Control Engineering

K. N. Toosi University of Technology

University-wide academic ranking, Tehran Province, Iran.

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.

Data-Driven Super-Twisting Control of Unstable Canonical Systems under Non-A-Priori Bounded Time- and State-Dependent Perturbations

Manuscript in preparation

With J. E. Machado, J. Mendoza-Avila, M. A. Hamida, J. Schiffer, and F. Plestan.

Adaptive Data-Based Integral Sliding Mode Control With Online Neural Networks for Floating Offshore Wind Turbines

Under review at IEEE Transactions on Control Systems Technology

Manuscript 26-0872; with M. A. Hamida, N. Sacchi, E. Vacchini, A. Ferrara, and F. Plestan.

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.

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

Design of Optimal Model-Free PI Controllers Using Metaheuristic Algorithms for a Distillation Column

International Journal of Dynamics and Control, vol. 13, article 312

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

Nonlinear Control Framework for Grid-Connected PMSG-Based Floating Wind Turbines in the Above-Rated Wind Speed Region through OpenFAST Validation

Submitted to the 15th MEDPOWER Conference, Paphos, Cyprus

Submitted; scheduled presentation by Moein Sarbandi.

Robust Control Based on a New Wind Speed Observer for Floating Wind Turbines

23rd IFAC World Congress, Busan, Republic of Korea

Accepted; presented by Moein Sarbandi.

Online Power Coefficient Estimation in Wind Turbines via Adaptive Sliding-Mode Observers

18th International Workshop on Variable Structure Systems (VSS 2026), Exeter, UK

Accepted; presented by M. M. Shahir.

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.

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

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

Robust Adaptive Super-Twisting Control for Floating Wind Turbines in Region III

Wind Energy Science Conference (WESC 2025)

Presented by Moein Sarbandi.

Designing a Predictive Super-Twisting Sliding Mode Control for Floating Offshore Wind Turbines in Region 2

Wind Energy Science Conference (WESC 2025)