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5 Last checked 17 August 2022

48 Google Scholar Citations


Dr Hamid Alturbeh joint University of Huddersfield in February 2016 as a research\industrial fellow at Institute of Railway Research.

Dr Alturbeh has a multidisciplinary academic background with a PhD degree in aerospace engineering from Cranfield University and two master degrees; a Master by Research focused on directional drilling control systems from Cranfield University, and a Master of Science with distinction in automation and control from Newcastle University, and BEng (Hons) in Electrical and Electronic Engineering.

Dr Hamid is expert in modelling, simulation, and control of aerodynamic, mechanical, electrical, and electromechanical systems using different software packages

Currently, he is conducting research projects for the Rail Safety and Standards Board (RSSB) as part of a Strategic Partnership with the University of Huddersfield. This includes projects related to modelling, simulation, and control of train braking/traction systems at very low adhesion conditions, wheel-rail contact model, and train speed estimation.

Dr Hamid is skilled in advanced control systems design, states estimation and parameters identification techniques, optimal control, model predictive control, fuzzy logic control, trajectory planning for autonomous systems, electric drives, and traction and braking control at low adhesion conditions. Expert in MATLAB/Simulink, State flow, and Simscape's packages (multibody, Electrical, Mechanical, ...etc.). And he has a good knowledge in C++, Visual Basic, Solidworks.

In addition to his academic experience, Dr Hamid has an industrial experience as he has worked for two years as a field engineer in oil and gas industry specialist in gas turbine and instrumentation.

Research Expertise and Interests

  • Modelling and simulation of train braking/traction systems at low adhesion conditions.
  • Modelling, Control, and Simulation of Unmand Aerial Vehicles (UAVs).
  • Collision avoidance and trajectory planning for autonomous vehicles.
  • Optimal control systems design.
  • Model predictive Control (MPC),
  • Non-linear control systems,
  • Modelling, simulation, and control of AC and DC electric drives.
  • State estimation and parameter identification.
  • Fuzzy Logic (FL) and Neural Networks (NN) techniques.


Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Hamid Alturbeh

Research Expertise and Interests

  • Advanced Control Systems
  • Train braking/traction system
  • Modelling and Simulation


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