Dr. Hakan Yekta Yatbaz

Lecturer (Assistant Professor) in Autonomous Systems

prof_pic.jpg

Room 01/0006

21 Stranmillis Road

Belfast, Northern Ireland BT9 5AF

I am a Lecturer (Assistant Professor) in Autonomous Systems at the School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen’s University Belfast. My research focuses on safe and resilient artificial intelligence for intelligent transport, with an emphasis on run-time monitoring, introspection, and uncertainty quantification in LiDAR-based 3D object detection. I am particularly interested in developing mechanisms that ensure reliability of perception modules under adverse or uncertain conditions.

Previously, I was a Postdoctoral Research Fellow at WMG, University of Warwick, where I worked on several EU-funded projects to design and integrate perception and self-assessment frameworks into real-world automated driving pipelines. I completed my PhD in Engineering at Warwick with a thesis on run-time monitoring of perception in automated driving systems.

I hold a master’s and bachelor’s degree in Computer Engineering from Middle East Technical University (Northern Cyprus Campus). During this time, I also contributed to international projects on e-health, IoT, and wireless sensor networks, with outcomes published in IEEE and ACM journals.

I am open to supervising motivated PhD students interested in safe and reliable AI for autonomous systems. Please feel free to contact me via h.yatbaz@qub.ac.uk.

selected publications

  1. IEEE T-ITS
    Introspection of DNN-Based Perception Functions in Automated Driving Systems: State-of-the-Art and Open Research Challenges
    Hakan Yekta Yatbaz, Mehrdad Dianati, and Roger Woodman
    IEEE Transactions on Intelligent Transportation Systems, 2024
  2. ICCVW
    Introspection of 2d object detection using processed neural activation patterns in automated driving systems
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2023
  3. IEEE T-IV
    Run-time introspection of 2d object detection in automated driving systems using learning representations
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    IEEE Transactions on Intelligent Vehicles, 2024
  4. CVPRW
    Run-time monitoring of 3D object detection in automated driving systems using early layer neural activation patterns
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024
  5. IEEE ITSC
    Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024