Djamel has experience in the areas of Deep Learning, image processing, computer vision and data interpretation for real-world problem solving. He also has expertise in quantitative research methods, extracting information from Big Data. Djamel is interested in the design of breakthrough approaches and technological systems in road safety, particularly to enhance the understanding of the on-road behaviours of Automated Vehicles.
DOCTORAL RESEARCH
“Use of social interaction in manoeuvre prediction to improve CAV safety”
THESIS SUPERVISORS
Professor Andry Rakotonirainy, Dr Mohammed Elhenawy and Professor Sebastien Glaser
SCHOLARSHIP
QUT ARC Linkage Scholarship