QUT | Staff Profiles | Sepehr Ghasemi Dehkordi

Name: Dr Sepehr Ghasemi Dehkordi
Position(s): Research Associate
Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ; IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects,
IHBI Psych and Counc - IPTM
Discipline *: Automotive Engineering, Electrical and Electronic Engineering, Interdisciplinary Engineering
Phone: +61 7 3138 4926
Email: sepehr.ghasemi@qut.edu.au
Location: View location details (QUT staff and student access only)
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Qualifications: Doctor of Philosophy (Queensland University of Technology), Master of Control and Automation Engineering (Universiti Putra Malaysia)
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

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Sepehr G. Dehkordi is a Research Associate at the Queensland University of Technology, Centre for Accident Research and Road Safety – Queensland (CARRS-Q). Sepehr has a background on Control and Automation Engineering, and he is currently researching on the Connected Automated Vehicle and Intelligence Transportation System (ITS). His research and experience cover several areas including optimisation techniques in control theory, intelligent control, road safety approaches in ITS, ecological driving behaviours, system identification and dynamic system modelling

This information has been contributed by Dr Sepehr Ghasemi Dehkordi.

Khakzar M, Rakotonirainy A, Bond A, Ghasemi Dehkordi S, (2020) A Dual Learning Model for Vehicle Trajectory Prediction, IEEE Access p21897- 21908
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 p208-222
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 p1931-1936

Dr Sepehr Ghasemi Dehkordi

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