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Personal profile


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


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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Collision avoidance Engineering & Materials Science
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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

  • 5 Conference contribution
  • 1 Article
  • 1 Conference article

Modelling and Control of the Roll-Stabilised Control Unit of a Rotary Steerable System Directional Drilling Tool

Alturbeh, H., Whidborne, J. F., Luk, P. & Bayliss, M., 26 Apr 2019, In : Journal of Engineering. 5 p.

Research output: Contribution to journalConference article

Open Access
Directional drilling
Voltage control
Bottom-hole assembly
Drill strings
Drilling fluids

Implementation of the water induced low adhesion creep force model (wilac) into the low adhesion braking dynamic optimisation for rolling stock model (Labrador)

Alturbeh, H., Lewis, R., Six, K., Trummer, G. & Stow, J., 27 Sep 2018, Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018. Nunez, A. & Li, Z. (eds.). TU Delft, p. 37-43 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic Optimization
1 Citation (Scopus)

Low Adhesion Braking Dynamic Optimisation for Rolling Stock (LABRADOR) Simulation Model

Alturbeh, H., Stow, J. & Lawton, A., 16 May 2018, 8th International Conference on Railway Engineering (ICRE 2018). IET, 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Braking performance
Open Access
Railroad cars
Braking performance

Intelligent collision avoidance for multi agent mobile robots

Souliman, A., Joukhadar, A., Alturbeh, H. & Whidborne, J. F., 2014, Intelligent Systems for Science and Information: Extended and Selected Results from the Science and Information Conference 2013. Chen, L., Kapoor, S. & Bhatia, R. (eds.). Springer Verlag, Vol. 542. p. 297-315 19 p. (Studies in Computational Intelligence; vol. 542).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Collision avoidance
Mobile robots
Motion control
Robust control