Ashkan Yousefi Zadeh - Centre for Accident Research & Road Safety

PhD Scholar

BSci (Mechanical Engineering), MSc (Mechanical Engineering)

I am an AI & Autonomous Vehicles Researcher with a passion for pushing the boundaries of technological innovation. With an extensive research background and diverse experience, I have dedicated my career to the dynamic intersection of control systems, artificial intelligence and autonomous vehicles.

As a doctoral researcher pursuing my PhD in Artificial Intelligence at Queensland University of Technology (QUT), I specialize in developing computational models to overcome the limitations of automated vehicles powered by AI. With a master’s degree in mechanical engineering, I have honed my expertise in dynamics and control, enabling me to optimize energy management and safety in autonomous vehicles.

Beyond academia, I actively contribute to the field as a Peer Reviewer for IEEE Access, a prestigious scientific journal. This role allows me to critically evaluate and enhance the quality of research, emphasizing my commitment to driving progress in the field. Additionally, my practical experience as a MATLAB and Python Developer has allowed me to apply my skills in artificial intelligence and backend development, further expanding my repertoire.

I am truly passionate about improving road safety and enhancing driving comfort through the seamless integration of AI and autonomous vehicles. My unique blend of theoretical knowledge and practical prowess sets me apart, and I am eager to collaborate with like-minded individuals and organizations to push the boundaries of innovation in this exciting domain.

DOCTORAL RESEARCH

“A human-centric eXplainable Automated Vehicle (XAV)”

THESIS SUPERVISORS

Dr Xiaomeng Li, Professor Andry Rakotonirainy, Professor Ronald Schroeter, Professor Sebastien Glaser

RESEARCH INTERESTS