Mahrokh Khakzar

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PhD Scholar/Research Officer

BEng, MEng (Electrical Engineering-Telecommunication)

Mahrokh’s 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 and Dr Andy Bond

RESEARCH INTERESTS

  • Collision Avoidance Systems (CAS)
  • Image and video processing and their application in intelligent transport systems
  • Deep learning application in road safety
  • Naturalistic data analysis
  • AI 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