Mahrokh Khakzar

    PhD Scholar/Research Officer

    BEng, MEng (Electrical Engineering-Telecommunication)

    Mahrokh Khakzar is a Research Officer and PhD scholar at the Centre for Accident Research and Road Safety – Queensland (CARRS-Q), QUT (Brisbane, Australia). Her research focus is the design of a predictive-interaction-aware crash risk assessment system that notifies the driver about the upcoming hazards. She has conducted research on different multidisciplinary projects with a focus on big data analysis, artificial intelligence, machine learning, image & video processing. She has experience in naturalistic data analysis, deep learning, and its application for real-time systems.

    DOCTORAL RESEARCH

    “Design and develop a predictive-interaction-aware crash risk assessment system.”

    THESIS SUPERVISORS

    Professor Andry Rakotonirainy & Dr Andy Bond

    RESEARCH INTERESTS

    • Collision Avoidance Systems (CAS).
    • Image and video processing and their application in intelligent transportation systems (ITS).
    • Deep learning application in road safety.
    • Naturalistic data analysis.
    • Artificial intelligence and pattern recognition.

    TEACHING

    • 2019 QUT EGH421 Control and Vibration
    • 2014-2015 Logical circulate design
    • 2014-2015 Electrical Circuits and Circuits Lab.

    AWARDS

    • 2019 BMW full grant for summer school 2019
    • 2018 QUT HDR Tuition Fee Sponsorship
    • 2018 Australian Government Research Training Program (RTP) Scholarship