Deep Learning & Stochastic Dynamics Researcher
With a strong background in nonlinear stochastic dynamics, I possess expertise in deep learning, aero-servo-elasticity, control, estimation, uncertainty quantification, and MDO. My passion for advanced scientific topics drives my commitment to learning, teaching, and contributing to the scientific community. My skill set encompasses computer systems, dynamic systems analysis, complemented by a deep understanding of probability, control, and optimization theories. Throughout my studies, I have gained valuable experience and published several papers in peer-reviewed journals. As a dedicated researcher, I am committed to continuing my scientific journey for the betterment of society.
Ph.D. , Sharif University of Technology (2017-2023)
Aeronautics and Astronautics (Flight Dynamics and Control)
Thesis: Development of a Smart Learning-Based Distributed Load Alleviation System for Future Generation of Aeroelastic WingsM.Sc. , Sharif University of Technology (2014-2016)
Aeronautics and Astronautics (Flight Dynamics and Control)
Thesis: Reliability-Based Multidisciplinary Design Optimization of an Aeroelastic ProjectileB.Sc. , K. N. Toosi University of Technology (2009-2014)
Aeronautics and Astronautics
Thesis: Design and Implementation of A Hardware-In-the-Loop Testbed for An Attitude Control System
(2016-2023) Senior Research Assistant - Dep. of Flight Dynamics and Control , Sharif University of Technology
Topics: Aeroservoelasticity, Stochastic Process Analysis and Control(2014-2016) Research Assistant - Dep. of Flight Dynamics and Control , Sharif University of Technology
Topics: Multidisciplinary Design Optimization (MDO), Uncertainty Quantification(2011-2016) Research Assistant - Space Systems Design Institute (SSDI) , K.N.Toosi University of Technology
Topics: Automatic Control Systems Design and Implementation, Multidisciplinary Design Optimization (MDO)
Khodabakhsh, A.H. and Pourtakdoust, S.H., 2024. Solution of FPK equation for stochastic dynamics subjected to additive Gaussian noise via deep learning approach. Structural Safety, 106, p.102399.
DOI: 10.1016/j.strusafe.2023.102399
Pourtakdoust, S.H. and Khodabakhsh, A.H. , 2022. A deep learning approach for the solution of probability density evolution of stochastic systems. Structural Safety, 99, p.102256.
DOI: 10.1016/j.strusafe.2022.102256
Pourtakdoust, S.H. and Khodabakhsh, A.H. , 2023. Reliability-based multidisciplinary design optimization of an aeroelastic unpowered guided aerial vehicle. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, p.09544100231198160.
DOI: 10.1177/09544100231198160
Pourtakdoust, S.H. and Khodabakhsh, A.H. , 2023. Modeling and Simulation of Nonlinear Dynamics Using Physics-Informed Deep Neural Networks. Technology in Aerospace Engineering, 6(4), pp.25-36.
DOI: 10.22034/jtae.2023.6.4.3
Khodabakhsh, A.H. , Pourtakdoust, S.H., 2024. A Deep Learning Approach to Model Predictive Gust Load Alleviation for A Compliant Wing Subjected to Atmospheric Turbulence, Journal of Guidance, Control, and Dynamics [Under Review]
DOI: NA
Mohammadizadeh, K., Pourtakdoust, S.H., and Khodabakhsh, A.H. (2022) Design and construction of aeroelastic wing load reduction control system with smart material approach, ICIA 2022
Khodabakhsh, A.H. and Pourtakdoust, S.H.(2021) Nonlinear dynamic modeling using physics-informed deep neural networks, ICIA 2021
Khodabakhsh, A.H. and Pourtakdoust, S.H.(2020) Aeroelastic wing vibration control using smart materials and changes in equivalent structural properties, ICIA 2020
Conceptualized and designed the smart wing idea for Gust Load Alleviation.
Key Concepts
Deep Learning, Probability Density Distribution Time-Evolution, Fokker-Planck-Kolmogorov Equation, Monte Carlo Simulation, Model Predictive Control (MPC), Stochastic Differential Equation (SDE), Piezoelectric BendersDeveloped a software framework for Multidisciplinary Design Optimization (MDO), focusing on aircraft reliability.
Key Concepts
Multidisciplinary Design Optimization (MDO), Surrogate Modeling (Gaussion Process Regression), Reliability Analysis, Uncertainty Quantification, Monte Carlo SimulationImplemented scheduling and control of a Stewart platform motion
Key Concepts
ROS, Model Predictive Control, Hardware-in-the-Loop (HIL), Radial Basis Function (RBF)Conducted conceptual design, analysis, and detailed design of a Pneumatic Actuator
Key Concepts
Fluid Dynamics, Computer-Aided DesignOptimized the design of a sub-scale supersonic wind tunnel as part of research experiences.
Key Concepts
Multi-Objective Optimization, Genetic Algorithm, Computational Fluid Dynamics, Aerodynamics, Wind Tunnel Design
Nonlinear dynamics modeling using Physics-Informed Neural Networks (PINNs).
Key Concepts
Physics-Informed Neural Networks, Deep Learning, Nonlinear Dynamics, Adaptive Sampling, Sensitivity Analysis, Surrogate ModelingExecuted the design and implementation of a simulator for attitude determination and controlling satellite attitude.
Key Concepts
Bayesian Inference, Nonlinear Filter (UKF and Particle Filter), Sliding-Mode Controller, OpenCVDeveloped and implemented Nonlinear Aircraft Flight Simulator Technology (NAFST)
Key Concepts
Model-Based Design, Auto-Code Generation, Aerodynamics, Flight DynamicsImplemented an advanced satellite simulator
Key Concepts
Model-Based Design, Systems Modeling Language (SysML), Real-Time Simulation, Hardware-in-the-Loop (HIL), Processor-in-the-Loop (PIL), Software-in-the-Loop (SIL), Rapid Control Prototyping (RCP)Conceptualized and executed the construction of a reduced-scale supersonic wind tunnel.
Key Concepts
Computer-Aided Design, Computational Fluid Dynamics, Aerodynamics, Wind Tunnel Design, Rapid Prototyping, Wire Cutting
Nonlinear Stochastic Dynamics Analysis and Control
Probabilistic Machine Learning and Bayesian Inference
Multidisciplinary Design Optimization (MDO)
Nonlinear Model Predictive Control (NMPC)
Deep Learning and Artificial Intelligence
Reinforcement Learning
Robotics and Autonomous Systems
Teaching Assistant (2017-2021), Flight Dynamics
Sharif University of Technology
Teaching Assistant (2013-2013), Automatic Control
Sharif University of Technology
Instructor (2015-2015), C# Coding of Engineering Concepts
Sharif University of Technology
Instructor (2015-2015), Intro. to LabView control loop implementation
Space Systems Design Institute (KNTU)
Instructor (2011-2011), MATLAB Introductory Course
K.N.Toosi University of Technology
Teaching Assistant (2021-2021), Flight Tests
Sharif University of Technology
Instructor (2015-2015), MATLAB Introductory Course
Sharif University of Technology
Instructor (2015-2015), Intro. to LabView control loop implementation
K.N.Toosi University of Technology
Instructor (2014-2014), MATLAB and SIMULINK
Space Systems Design Institute (KNTU)
Instructor (2011-2009), Introductory Course to Astronomy and Astrophysics
Fajr Highschool
Reliability and Probabilistic Modeling
Nonlinear Control
Deterministic and Stochastic Optimal Control
Nonlinear Vibrations
Nonlinear Filters
Advanced Flight Dynamics and Control
System Identification
Gradient-Based and Heuristic Optimization
English, Fluent
French, Basic
Persian, Fluent
Spanish, Basic