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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.

  • 4 Similar Profiles
Collision avoidance Engineering & Materials Science
Braking Engineering & Materials Science
Adhesion Engineering & Materials Science
Brakes Engineering & Materials Science
Mobile robots Engineering & Materials Science
Directional drilling Engineering & Materials Science
Fixed wings Engineering & Materials Science
Real time control Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2018

  • 5 Conference contribution
  • 1 Article

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

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., 14 Feb 2018, (Accepted/In press) The 9th International Conference on Power Electronics, Machines and Drives. 6 p.

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

Directional drilling
Voltage control
Bottom-hole assembly
Drill strings
Drilling fluids
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
3 Citations

Real-time obstacle collision avoidance for fixed wing aircraft using B-splines

Alturbeh, H. & Whidborne, J. F., 2 Oct 2014, 2014 UKACC International Conference on Control: CONTROL 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 115-120 6 p. 6915125

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

Open Access
Fixed wings
Collision avoidance
Cost functions