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 PhD candidate in Computer Science at the University ofAdelaide. Prior to commencing his doctoral studies, Mohsi earned a Bachelor of Computer Science (Advanced) from the foundational University of Adelaide.
During his undergraduate tenure, Mohsi received a series of distinguished accolades, including multiple ExecutiveDean’s Awards, the Maptek Prize for Computer Science (awarded for the highest aggregate score in his second year),the Australian Computer Society award (for the highest aggregate score in his final year), the Governor’sInternational Award in the academic category, and the Oracle User’s Group prize.
Mohsi’s research concentrates on Computer Vision and Machine Learning, with a particular emphasis on generativemodels for synthetic data. His PhD project addresses the domain gap between synthetic and real imagery forspacecraft pose estimation, employing event‑sensor technology to enhance robustness and accuracy.
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 |
|---|---|---|
| 2024 - ongoing | 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. Scopus1 WoS1 |
| 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. Scopus31 |
| 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. Scopus76 WoS66 |
| Year | Citation |
|---|---|
| 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 Scopus1 |
- Introduction to Programming (Tutor) - 2018
- Grand Challenges in Computer Science (Tutor) - 2017
- Introduction to Programming (Tutor) - 2017
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