Daniel Omeiza

Daniel Omeiza

Post-Doctoral Research Assistant

University of Oxford

Email: daniel[dot]omeiza[at]cs.ox.ac.uk


I am a postdoctoral researcher at the Oxford Robotics Institute (ORI) where I research explainable robotics. I recently completed my PhD research at Oxford’s Computer Science department in partnership with the Human Centred Computing group and the Cognitive Robotics group. During my PhD, I leveraged XAI and behavioural science theories to develop transparent techniques for generating intelligible explanations in autonomous driving. These explanation techniques have been deployed within large projects like the SAX and the RAILS projects. My research experience are so far applicable in other domains including, finance, healthcare, assistive technology. My PhD was funded by the EPSRC RoboTIPS project.

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  • Explainable AI
  • Autonomous Driving
  • Human Computer Interaction
  • Virtual Reality
  • User Experience Research
  • DPhil in Computer Science, 2022

    University of Oxford

  • MS in Information Technology, 2019

    Carnegie Mellon University

  • BSc in Computer Science, 2015

    University of Ilorin

Recent Publications

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(2022). Explanations in Autonomous Driving: A Survey. In IEEE Transactions on Intelligent Transportation Systems.

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(2022). Assessing and Explaining Collision Risk in Dynamic Environments forAutonomous Driving Safety. In 2021 IEEE International Conference on Intelligent Transportation Systems.


(2022). Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving. In submission, IEEE International Conference on Advanced Robotics and its Social Impacts.

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