Curriculum vitae

Learning and control for earthmoving machines. Trajectory and interaction control, force and payload estimation, identification of hydraulic systems, and learned models of machine dynamics that carry over from one machine to the next.

Feb 2026 –

Doctoral researcherTampere University, FinlandMarie Skłodowska-Curie Fellow in the ENGAGE Doctoral Network (Horizon Europe), on learning and control for earthmoving, in close collaboration with Novatron.

2023 – 2025

M.Sc. Automation and Control EngineeringPolitecnico di Milano, ItalyThesis on robot programming by demonstration, segmentation and via-set optimisation

2017 – 2022

B.Sc. Mechanical EngineeringK. N. Toosi University of Technology, IranThesis on pattern recognition of unbalanced rotor bearing forces. Graduated in the top 3 % of the department

2026 –

Tampere University and NovatronENGAGE Doctoral NetworkAutomation of hydraulic excavators on a real machine, covering identification of the hydraulics and rigid-body dynamics from retrofittable sensors, external force estimation, interaction and trajectory control, experiment design and a real-machine dataset. Developer of EMC (Earthmoving Modelling and Control), the group's software for simulation, identification and control.

2024 – 2025

MERLIN LabPolitecnico di MilanoLearning from demonstration for robot arms, with event-based alignment of demonstrations, a segmentation algorithm of linear complexity and run-time via-set optimisation, evaluated with ablation and user studies

2023

AIRLab drone teamPolitecnico di MilanoPort of navigation and filtering nodes from ROS to ROS 2; navigation and obstacle avoidance from stereo point clouds; Leonardo drone contest, Turin

2021 – 2022

Mechatronics LaboratoryK. N. Toosi University of TechnologyBenchmark and fusion of monocular depth estimation and object detection; a chess-piece detector trained on more than 10 000 labelled images

2019 – 2022

Vibration and Control LaboratoryK. N. Toosi University of TechnologyUnbalance diagnosis of rigid rotors with a neural network, reducing the required sensors to two

2025

Robot programming by demonstration: segmentation and via-set optimizationI. Zappa, M. H. Saeidi Mostaghim, A. M. Zanchettin, P. Rocco. I-RIM Conference 2025, 205–207.

2024

Robot programming by demonstration: segmentation and via-set optimizationM. H. Saeidi Mostaghim. M.Sc. thesis, Politecnico di Milano.

2023

Nonlinear tracking control algorithm for dynamical output systems manipulated by the hardly constrained oscillatory actuator PaperM. R. Homaeinezhad, M. H. Saeidi Mostaghim. Structural Control and Health Monitoring, 2023, 3799011.

2022

Synthetic Lyapunov stabilization technique for designing actuation-constrained multi-input multi-output control systems PaperM. R. Homaeinezhad, M. H. Saeidi Mostaghim. Journal of the Franklin Institute 359 (12), 5891–5918.

2022

Pattern recognition of unbalanced rigid rotor bearing forces PaperM. R. Homaeinezhad, M. H. Saeidi Mostaghim, F. Arab. Amirkabir Journal of Mechanical Engineering 54 (6), 1249–1270.

2022

Pattern recognition of unbalanced rigid rotor bearing forcesM. R. Homaeinezhad, M. H. Saeidi Mostaghim. ICME 2022, 18th National and 7th International Conference on Manufacturing Engineering, Iran.

2022

Constrained control of moving-base robotic system with cooperative armsM. R. Homaeinezhad, M. H. Saeidi Mostaghim. ISME 2022, 30th Annual International Conference of the Iranian Association of Mechanical Engineers, Tehran.

Google Scholar

Control

Adaptive control, interaction control, model predictive control, trajectory optimisation, reinforcement learning

Modelling

System identification, hydraulic modelling, state and force estimation, digital twins, learned dynamics

Simulation

AGX Dynamics, NVIDIA Isaac Sim and Isaac Lab, NVIDIA Newton, MuJoCo

Hardware

ROS 2, CAN bus, real-time Simulink, NVIDIA Jetson, lidar, stereo cameras

Software

Python, PyTorch, JAX, C++, MATLAB, CasADi, Docker, Git, Linux, LaTeX

Persian

Native

English

Fluent (C2; TOEFL iBT 113)