Dr Sepehr Ghasemi Dehkordi
This person does not currently hold a position at QUT.
Personal details
Keywords
Intelligent control and automation, Optimisation techniques for nonlinear and dynamic systems, Artificial intelligence and machine learning, Intelligent Transport Systems (ITS), Connected and automated vehicles (CAVs), Non-linear adaptive algorithms and digital signal processing
Research field
Automotive Engineering, Electrical and Electronic Engineering, Interdisciplinary Engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
- Master of Control and Automation Engineering (Universiti Putra Malaysia)
Publications
- Khakzar, M., Bond, A., Rakotonirainy, A., Oviedo-Trespalacios, O. & G. Dehkordi, S. (2021). Driver influence on vehicle trajectory prediction. Accident Analysis & Prevention, 157. https://eprints.qut.edu.au/210118
- Ghasemi Dehkordi, S., Cholette, M., Larue, G., Rakotonirainy, A. & Glaser, S. (2021). Energy Efficient and Safe Control Strategy for Electric Vehicles Including Driver Preference. IEEE Access, 9, 11109–11122. https://eprints.qut.edu.au/207449
- Larue, G., G. Dehkordi, S., Watling, C. & Naweed, A. (2021). Loud and clear? Train horn practice at railway level crossings in Australia. Applied Ergonomics, 95. https://eprints.qut.edu.au/209675
- Rodwell, D., Coughlan, P., Kaye, S., Demmel, S., Ghasemi Dehkordi, S., Bond, A., Lewis, I., Rakotonirainy, A., Glaser, S. & Pascale, M. (2021). Passengers' acceptance and perceptions of risk while riding in an automated vehicle on open, public roads. Transportation Research Part F: Traffic Psychology and Behaviour, 83, 274–290. https://eprints.qut.edu.au/226313
- Khakzar, M., Rakotonirainy, A., Bond, A. & Ghasemi Dehkordi, S. (2020). A Dual Learning Model for Vehicle Trajectory Prediction. IEEE Access, 8, 21897– 21908. http://eprints.qut.edu.au/137309
- Ghasemi Dehkordi, S., Larue, G., Cholette, M., Rakotonirainy, A. & Rakha, H. (2019). Ecological and safe driving: A model predictive control approach considering spatial and temporal constraints. Transportation Research Part D: Transport and Environment, 67, 208–222. https://eprints.qut.edu.au/123618
- Ghasemi Dehkordi, S., Larue, G., Cholette, M. & Rakotonirainy, A. (2018). Benefit assessment of new ecological and safe driving algorithm using naturalistic driving data. Proceedings of the 29th IEEE Intelligent Vehicles Symposium, 1931–1936. https://eprints.qut.edu.au/118446
QUT ePrints
To find publications by Sepehr, visit QUT ePrints, the University's research repository.
Awards
- Type
- Other
- Reference year
- 2019
- Details
- Nominated for the ITS Australia Young Professional National Award for demonstrating passion and dedication to the ITS industry.