Research Interests
Artificial Intelligence Artificial Intelligence & Image Processing Computer VisionMr Mohsi Jawaid
Grant-Funded Researcher (B)
School of Computer Science and Information Technology
College of Engineering and Information Technology
Mohsi Jawaid is a Grant Funded Researcher at Adelaide University’s AIML and COROL facility, specializing in vision-based orbital guidance, navigation, and control algorithms. Following the submission of his Ph.D. thesis on event-based spacecraft pose estimation in 2026, his work continues to advance autonomous systems, multi-robot calibration, and space domain awareness. He holds a Bachelor of Computer Science (Advanced) from the University of Adelaide (2018), where he received the Australian Computer Society Prize, and he previously led team TangoUnchained to top rankings in the ESA Kelvins Pose Estimation Challenge. Mohsi pairs his research with strong software engineering experience from Maptek, where he developed machine learning features for DomainMCF and 3D spatial visualization tools, and academic experience as an Object-Oriented Programming Lecturer. A proficient programmer in Python and C++, he has published extensively in leading robotics and aerospace forums, including IEEE ICRA, IROS, ISPARO, Acta Astronautica, and Aerospace Science and Technology.
Under the Australian Institute of Machine Learning, I am conducting research in Domain Adaptation for the task of Spacecraft Pose Estimation.
| Date | Position | Institution name |
|---|---|---|
| 2025 - ongoing | Grant-Funded Researcher | University of Adelaide |
| 2024 - 2024 | Lecturer | University of Adelaide |
| 2018 - 2021 | Software Engineer | Maptek |
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Hindi | Can speak and understand spoken |
| Urdu | Can read, write, speak and understand spoken |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2016 - 2018 | University of Adelaide | Australia | Bachelor of Computer Science (Advanced) |
| Year | Citation |
|---|---|
| 2025 | Jawaid, M., Märtens, M., & Chin, T. -J. (2025). Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting. Aerospace Science and Technology, 168, 111039. Scopus6 WoS4 |
| 2023 | Jawaid, M., Elms, E., Latif, Y., & Chin, T. J. (2023). Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. Proceedings - IEEE International Conference on Robotics and Automation, 2023-May, 11866-11873. Scopus35 |
| 2023 | Park, T. H., Märtens, M., Jawaid, M., Wang, Z., Chen, B., Chin, T. -J., . . . D’Amico, S. (2023). Satellite Pose Estimation Competition 2021: Results and Analyses. Acta Astronautica, 204, 604-665. Scopus89 WoS76 |
| Year | Citation |
|---|---|
| 2025 | Jawaid, M., Martens, M., Claxton, O., Plessis, J. D., & Chin, T. J. (2025). Virtual Production for Hardware-in-the-Loop Vision-based Orbital Navigation Experiments. In 2025 International Conference on Space Robotics Isparo 2025 (pp. 642-647). JAPAN, Sendai: IEEE. DOI |
| 2024 | Jawaid, M., Talak, R., Latif, Y., Carlone, L., & Chin, T. J. (2024). Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. In IEEE International Conference on Intelligent Robots and Systems (pp. 4534-4541). Abu Dhabi, United Arab Emirates: IEEE. DOI Scopus2 |
- Introduction to Programming (Tutor) - 2018
- Grand Challenges in Computer Science (Tutor) - 2017
- Introduction to Programming (Tutor) - 2017
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