Stefan Podgorski

Stefan Podgorski

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology


As a Senior Research Engineer with the School of Computer Science and the Australian Institute for Machine Learning (AIML), I bring a wealth of knowledge and experience to my research focus of perception and scene understanding for autonomous vehicles. My expertise includes vision-based object tracking, monocular and stereo camera calibration, camera to LiDAR registration, satellite imagery segmentation, pixel to control based reinforcement learning, and perspective-to-birds-eye-view fusion, which are essential to advancing the capabilities of autonomous vehicles.

My expertise is not limited to autonomous vehicles, I have also applied my knowledge to other cutting-edge fields such as working on submarines as an engineer in defence and designing and building electronics to track electron beam positions in linear accelerators as a physicist. I am also committed to using my skills to aid in conservation efforts through the use of artificial intelligence, audio processing and computer vision to identify animal species.

I have a proven track record of delivering innovative solutions and have a passion for my work and am committed to staying at the forefront of technology.

  • Journals

    Year Citation
    2022 Howe, M., Bockman, J., Orenstein, A., Podgorski, S., Bahrami, S., & Reid, I. (2022). The Edge of Disaster: A Battle Between Autonomous Racing and Safety. 1st ICML Workshop on Safe Learning for Autonomous Driving (SL4AD),
    2022
    .
  • Conference Papers

    Year Citation
    2022 Mares, L., Podgorski, S., & Reid, I. (2022). Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning. In IJCAI 2021 Artificial Intelligence for Autonomous Driving (AI4AD) Workshop. Vienna, Austria.
    2022 Mares, L., Podgorski, S., & Reid, I. (2022). Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning. In IJCAI 2021 Artificial Intelligence for Autonomous Driving (AI4AD) Workshop. Vienna, Austria.
  • Other Supervision Activities

    Date Role Research Topic Location Program Supervision Type Student Load Student Name
    2023 - 2023 Co-Supervisor What cat is that? A re-id model for feral cats Australian Institute for Machine Learning - Master Full Time Victor Caquilpan Parra
    2023 - 2023 Co-Supervisor Synthesis of a deep neural network to automatically classify a community of microhylid frogs in New Guinea University of Adelaide - Honours Full Time Joseph Jantke
    2022 - 2022 Other Reidentification of cats using artificial intelligence University of Adelaide - Honours - Lewis D'Antonio
  • Memberships

    Date Role Membership Country
    2022 - ongoing Member Force Forty 2022 Australia

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External Profiles