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.
-
Appointments
Date Position Institution name 2023 - ongoing Senior Research Engineer University of Adelaide 2020 - 2023 Research Engineer University of Adelaide 2018 - 2020 Detector Physicist Chrysos Corporation 2017 - 2018 Engineer ASC 2003 - 2012 Electrician Wilks Communication and Electrical -
Education
Date Institution name Country Title 2012 - 2016 Flinders University Australia Honours Degree of Engineering, Electrical 2012 - 2015 Flinders University Australia Bachelor of Science (BSc), Physics (extended major) -
Certifications
Date Title Institution name Country 2020 Industrial Radiation Safety Officer Australian Nuclear Science and Technology Organisation Australia -
Research Interests
-
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
Connect With Me
External Profiles