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
Abdul Mohsi Jawaid (preferred name Mohsi) is a current MPhil student at the University of Adelaide. They completed their Bachelor of Computer Science (Advanced) degree at the University of Adelaide as well. Now Mohsi is conducting their research at the Australian Institute of Machine Learning. Mohsi was awarded several prizes in their undergraduate candidature including multiple Executive Dean's awards, the Maptek Prize for Computer Science for highest aggregate score in second year and the Australian Computer Society award for highest aggregate score in their final year. Mohsi has also received the Governor's International Award in the academic category as well as the Oracle User's Group prize. Mohsi's area of focus is Computer Vision and Machine Learning. They aim to understand and work on generative models for synthetic data. Mohsi's PhD research is trying to bridge the domain gap between synthetic and real data for spacecraft pose estimation.
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 |
|---|---|
| 2026 | Jawaid, M., Märtens, M., & Chin, T. J. (2026). Event-RGB fusion for spacecraft pose estimation under harsh lighting. Aerospace Science and Technology, 168, 31 pages. |
| 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. Scopus27 |
| 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. Scopus72 WoS60 |
| 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