Mahmoud Mohamed

Development and implementation of different control strategies based on data-driven models (Long short-term memory "LSTM") for a limb-elastic arm.

Investigation and implementation of different schemes for using data-based (NARX Neural Networks) and hybrid models in Model Predictive Control strategies.

- Localization and control of helical robots using rotating dipole fields during removal of superficial blood clots inside in-vitro and ex-vivo models. - Validation of the localization accuracy using visual feedback and feature tracking inside the in-vitro model.

- Investigation of the dynamics of a quad-rotor Unmanned Aerial Vehicle (UAV). - Development of a control strategy primarily based on Model Predictive Control to track distinct reference trajectories ranging from simple ones such as circular helix to complex helical trajectories.

Software development for interface modules, sensors and actuators in the industrial automation sector.

- Preservation and optimum regularity of client assets up to its mission-ready operational conditions. - Reduction of HSE-related risks, limit equipment failure costs and boost consistency with operational requirements.

- Machine Learning - Data-based Dynamic Modeling - Advanced Process Control - Logic Control and PLCs - Optimization - Mobile Robots and Robotic Manipulators

- Nonlinear, Robust & Optimal Control, PLC, Robotics - Object Oriented Programming - Micro-Controllers, Embedded Systems, Cyber Physical Systems - Electric, Electronic and Power Circuits - Electric Drives, Electronic and Power Circuits. - Thermodynamics, Fluid Mechanics, Mechanics of Machines Bachelor Thesis Project : "Analysis and Implementation of a Model-Predictive-Control for Quadcopter Control"