Dr Remi Olatunbosun BSc, MSc, PhD, CEng, FIMechE, FNAE, MNSE, SMSME

Dr OA Olatunbosun

Department of Mechanical Engineering
Honorary Senior Fellow

Contact details

School of Mechanical Engineering
University of Birmingham
B15 2TT

Remi Olatunbosun is an Honorary Senior Fellow in the School of Engineering at the University of Birmingham, having retired  as Head of Vehicle Dynamics Laboratory, Department of Mechanical Engineering in April 2018. He also holds the position of Adjunct Professor in Mechanical Engineering at the University of Lagos. With over 40 years of teaching experience in higher education, he was involved in Mechanical Engineering curriculum design and evaluation in the UK, several European countries and Nigeria.

He is a leading expert in the areas of vehicle structural dynamics testing, tyre dynamics, Noise, Vibration and Harshness (NVH) in vehicles and vehicle dynamics simulation with over 100 publications in learned journals, conferences and edited works. He established vehicle structural dynamics performance standards which are now routinely applied in industry for assessing the vibro-acoustic performance of vehicle structures. He has done extensive research work on tyre dynamics covering dynamic testing, empirical modelling of tyre characteristics, FE simulation of tyre dynamics and intelligent tyres. He has also published extensively in the areas of NVH, vehicle ride and handling dynamics, electric hybrid vehicles, brake noise, etc. He has worked extensively on funded research with UK Automotive OEMs such as Rolls Royce, Jaguar, LandRover, Ford and MG-Rover, as well as international Tier 1 suppliers such as Dunlop Tyres, Michelin Tyres, Goodyear Tyres etc, together with various SMEs with most projects involving the development of design, simulation and analysis tools for vehicle systems.   


  • PhD in Mechanical Engineering, University of Birmingham, 1976
  • MSc in Mechanical Engineering, University of Manchester, 1974
  • BSc (Hons) in Mechanical Engineering, University of Manchester, 1972Fellow, Institution of Mechanical Engineers
  • Fellow, Nigerian Academy of Engineering
  • CEng (Chartered Engineer)
  • Member, Nigerian Society of Engineers
  • Member, Society of Automotive Engineers
  • Senior Member, Society of Manufacturing Engineers


Remi Olatunbosun graduated from the University of Manchester with a BSc in Mechanical Engineering in 1972. He stayed on at Manchester to complete an MSc before moving on to the University of Birmingham to join the Automotive Research Group in 1974. He was awarded a PhD in 1976 for his work on the dynamic performance of vehicle body structures.

Before joining the University of Birmingham in 1988, Remi Olatunbosun had taught Mechanical Engineering at the University of Lagos, Nigeria (1976-1988), during which time he was a consultant to Volkswagen of Nigeria. He had also worked for the British Leyland Cars from 1978 to 1979 as a research and development engineer with responsibility for Noise Vibration and Harshness (NVH) performance on the LC10 project.

He joined the University of Birmingham as a Research Fellow in the Automotive Engineering Centre in 1988, with responsibility for managing research and consultancy projects with the automotive industry and helped to establish the centre’s reputation with NVH development work done on the Jaguar XJ40.

He was appointed to a lectureship position in the Department of Mechanical Engineering in 1994 and subsequently Senior Lecturer and Head of the Vehicle Dynamics Laboratory.

Remi Olatunbosun taught Automotive Engineering to undergraduate and postgraduate students and through his research on tyre dynamics, vehicle ride and handling and vehicle structural dynamics analysis, he has worked extensively on funded research with UK Automotive OEMs such as Rolls Royce, Ford, Jaguar, LandRover and MG-Rover as well as Tier 1 suppliers such as Dunlop Tyres, TRW, Michelin Tyres, Goodyear Tyres etc.

He retired in 2018 and was appointed Honorary Senior Fellow. He continues to do research on intelligent tyres, vehicle ride and handling, electric hybrid vehicles and vehicle durability assessment/testing


Research themes

Intelligent Tyres, Electric Hybrid Vehicles, Vehicle ride and handling dynamics, Vehicle durability assessment.

Research activity

Intelligent Tyres and Tyre Dynamics

Work in this area has spanned over 25 years, encompassing:

  • analytical lumped parameter system tyre models,
  • finite Element tyre models for tyre design analysis, simulation and characterisation of tyre behaviour,
  • intelligent tyres to estimate tyre forces and operational conditions.
  • Novel tyre designs

Electric Hybrid Vehicles

Design, analysis, performance characterization of Electric Hybrid Vehicles
optimization of energy utilization

Vehicle Durability Assessment

A major study has been carried out to establish how artificial neural networks can be used to model, empirically, the complex relationships between different vehicle configurations and the service loads experienced by the vehicle in order to predict realistic service loads. This has resulted in the development of an Artificial Road Input Tool (ARIT) to predict the spindle loads that vehicles experience during their operational life.  This will enable the development of a virtual testing platform for product verification in the early stages of vehicle development.

Vehicle Ride and Handling

Work in this area has spanned over 40 years, encompassing:

  • Vehicle structural dynamics
  • Noise, Vibration and Harshness
  • Novel suspension designs
  • Analysis and optimisation of energy use in drive cycles
  • Etc.

Other activities

  • Editorial Board, International Journal of Engineering Simulation
  • Editorial Board, International Journal of Vehicle Structures and Systems
  • Editorial Board, Scientia Iranica
  • Adjunct Professor, Dept of Mechanical Engineering, University of Lagos
  • Lead Member, International Experts Group (Mechanical Engineering), Centre for Quality Assessment in Higher Education, Lithuania (2014-15 and 2016)


Below is a list of recent publications. A more complete list of publications can be found at: https://www.researchgate.net/profile/Oluremi_Olatunbosun/research

  1. Aldhufairi, H., Khamis Essa &  Olatunbosun, O., (2019) ‘Multi-chamber tyre designing for fuel economy’, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. https://doi.org/10.1177/0954407019857026
  2. Aldhufairi, H.S., Olatunbosun, O., and Essa, K., “Determination of a Tyre’s Rolling Resistance Using Parallel Rheological Framework,” SAE Technical Paper 2019-01-5069, 2019, doi:10.4271/2019-01-5069.
  3. Mª F Mendoza-Petit, D Garcia-Pozuelo, V Diaz and O Olatunbosun, (2019), ‘A Strain-Based Method to Estimate Tire Parameters for Intelligent Tires under Complex Maneuvering Operations’, Sensors 2019, 19, 2973; doi:10.3390/s19132973
  4. J.Yunta, D.Garcia-Pozuelo, V.Diaz, O.Olatunbosun, (2019), ‘Influence of camber angle on tire tread behavior by an on-board strain-based system for intelligent tires’, Measurement, Volume 145, Pages 631-639. https://doi.org/10.1016/j.measurement.2019.05.105
  5. Aldhufairi, H, Essa, K & Olatunbosun, O (2019), 'Multi-chamber tire concept for low rolling-resistance' SAE International Journal of Passenger Cars - Mechanical Systems. DOI: 10.4271/06-12-02-0009
  6. Garcia-Pozuelo, D., Olatunbosun, O., Strano, S. & Terzo, M. (2019), A real-time physical model for strain-based intelligent tires, Sensors and Actuators A: Physical.https://doi.org/10.1016/j.sna.2018.12.010
  7. Cash, S., Zhou, Q., Olatunbosun, O., Xu, H.M., Davis, S. and Shaw, R. (2019) Development of a Series Hybrid Electric Aircraft Pushback Vehicle: A Case Study. Engineering, 11, 33-47. https://doi.org/10.4236/eng.2019.111004
  8. Garcia-Pozuelo, D., Olatunbosun, O., Romano, L., Strano, S., Terzo, M., Tuononen, A.J., Xiong, Y. (2019), Development and experimental validation of a real-time analytical model for different intelligent tyre concepts, Vehicle Systems Dynamics. https://www.tandfonline.com/doi/full/10.1080/004
  9. Cash, S., Xu, H., Zhou, Q., Olatunbosun, O., Shaw, R. & Davis, S.(2019), New traction motor sizing strategy for an HEV/EV based on an overcurrent-tolerant prediction model: IET Intelligent Transport Systems. 13, 1, p. 168-174. http://dx.doi.org/10.1049/iet-its.2018.5016
  10. A. I. Kubba, G. J. Hall, S. Varghese, O. A. Olatunbosun, and C. J. Anthony (2018) Modeling of Contact Patch in Dual-Chamber Pneumatic Tires. Tire Science and Technology: April-June 2018, Vol. 46, No. 2, pp. 78-92. https://doi.org/10.2346/tire.18.460202
  11. Jorge Yunta, Daniel Garcia-Pozuelo, Vicente Diaz and Oluremi Olatunbosun, (2018), “A Strain-Based Method to Detect Tires’ Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Development”, Sensors 2018, 18, 490; doi:10.3390/s18020490 
  12. O A Olatunbosun, Rui He and O Shitta-Bey, (2018), “Analysis of highway sloped median performance for containment of errant vehicles”, World Journal of Engineering Technology 2018, 6, pp68-80, Special Issue “Automotive Engineering”, https://doi.org/10.4236/wjet.2018.61004
  13. Daniel Garcia-Pozuelo, Oluremi Olatunbosun, Jorge Yunta, Xiaoguang Yang and Vicente Diaz (2017), ‘A Novel Strain-Based Method to Estimate Tire Conditions Using Fuzzy Logic for Intelligent Tires’, Sensors 2017, 17, 350; doi:10.3390/s17020350
  14. Daniel Garcia-Pozuelo, Jorge Yunta, Oluremi Olatunbosun, Xiaoguang Yang and Vicente Diaz (2017), ‘A Strain-Based Method to Estimate Slip Angle and Tire Working Conditions for Intelligent Tires Using Fuzzy Logic’, Sensors 2017, 17, 874; doi:10.3390/s17040874
  15. Hamad Aldhufairi and Oluremi Olatunbosun (2017), ‘Developments in tyre design for lower rolling resistance: a state of the art review’, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering https://doi.org/10.1177/0954407017727195,
  16. Quan Zhou, Yunfan Zhang, Ziyang Li, Ji Li, Hongming Xu, Oluremi Olatunbosun, (2017), “Cyber-Physical Energy-Saving Control for Hybrid Aircraft-Towing Tractor based on Online Swarm Intelligent Programming”, IEEE Transactions on Industrial Informatics Dec 2017, PP(99): 1-1 DOI 10.1109/TII.2017.2781230
  17. Chongfeng Wei, Oluremi Olatunbosun, and Xiaoguang Yang (2017), ‘A finite-element-based approach to characterising FTire model for extended range of operation conditions’, Vehicle Systems Dynamics 55(3): 295-312. DOI: 10.1080/00423114.2016.1264613.
  18. Quan Zhou, Wei Zhang, Scott Cash, Oluremi Olatunbosun, Hongming Xu , Guoxiang Lu, (2017), ‘Intelligent sizing of a series hybrid electric power-train system based on Chaos-enhanced accelerated particle swarm optimization’, Applied Energy, 189 (2017) 588–601 http://dx.doi.org/10.1016/j.apenergy.2016.12.074
  19. Wei, C and Olatunbosun, OA (2017), ‘Prediction of influence of operating conditions and tyre design parameters on tyre cornering characteristics’, International Journal of Vehicle Performance vol 3 no 2, pp127-141, DOI: 10.1504/IJVP.2017.10003357
  20. Cash, S and Olatunbosun, O (2017), ‘Fuzzy logic field-oriented control of an induction motor and a permanent magnet synchronous motor for hybrid/electric vehicle traction applications’, International Journal of Electric and Hybrid Vehicles Vol 9(3) pp269-  , https://doi.org/10.1504/IJEHV.2017.087589
  21. Wei, C and Olatunbosun, OA (2017), ‘Prediction of influence of operating conditions and tire design parameters on Tire Cornering characteristics’, Int Journal of Vehicle Performance 3(2), pp. 127–141, DOI: 10.1504/IJVP.2017.083345
  22. Wei, C and Olatunbosun, OA (2016), ‘The effects of tyre material and structure properties on relaxation length using finite element method’, Materials and Design 102 (2016) 14–20 http://dx.doi.org/10.1016/j.matdes.2016.04.014
  23. Esgandari, M. and Olatunbosun, O., (2016), ‘CAE Prediction of Brake Noise: Modelling of Brake Shims’, Journal of Vibration and Control  Vol. 22(10) pp2347–2355. DOI: 10.1177/1077546314547102
  24. Siyang Cao, Simon Pyatt, Carl Anthony, Alli Kubba, Ammar Kubba & Oluremi Olatunbosun (2016), ‘Flexible Bond Wire Capacitive Strain Sensor for Vehicle Tyres’, Sensors 16(6):929. DOI: 10.3390/s16060929
  25. David C.S. Beddows, Manuel Dall’Osto, Oluremi A. Olatunbosun, Roy M. Harrison, (2016), ‘Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry’, Atmospheric Environment, 129, p. 167-175. http://dx.doi.org/10.1016/j.atmosenv.2016.01.018
  26. Esgandari, M. and Olatunbosun, O., (2015), ‘Implicit–explicit co-simulation of brake noise’, Finite Elements in Analysis and Design, Vol. 99 (July 2015), pp. 16-23. http://dx.doi.org/10.1016/j.finel.2015.01.011
  27. Wei, C, Olatunbosun OA, Behroozi, M, (2015) ‘Simulation of tyre rolling resistance generated on uneven road’, Int Journal of Vehicle Dynamics, Vol 70 No 2, pp. 113-136 DOI: 10.1504/IJVD.2016.074415
  28. Kubba, AE., Behroozi, M., Olatunbosun, OA., Anthony, CJ., Jiang, K., (2014), ‘Modelling of Strain Energy Harvesting in Pneumatic Tyres Using Piezoelectric Transducer’, Tire Science and Technology, Vol. 42, No. 1, pp. 16-34. ISSN: 0090-8657
  29. Yang, X, Behroozi, M, Olatunbosun, OA (2014), ‘A Neural Network Approach to Predicting Car Tyre Micro-Scale and Macro-Scale Behaviour’. Journal of Intelligent Learning Systems and Applications, 2014, 6, pp11-20. (http://www.scirp.org/journal/PaperInformation.aspx?PaperID=42866)
  30. Manuel Dall’Osto, David C.S. Beddows, Johanna K. Gietl, Oluremi A. Olatunbosun, Xiaoguang Yang, Roy M. Harrison, (2014), ‘Characteristics of tyre dust in polluted air: Studies by single particle mass spectrometry (ATOFMS)’. Atmospheric Environment, 94 (2014) pp224-230.(http://www.sciencedirect.com/science/article/pii/S1352231014003732)
  31. Wei, C, Olatunbosun, OA (2014), ‘Transient dynamic behaviour of finite element tire traversing obstacles with different heights’, Journal of Terramechanics 56 (2014) pp1–16 (http://www.sciencedirect.com/science/article/pii/S0022489814000512)