Research Interests
Control TheoryDr Kamal Mammadov
Grant Funded Research Fellow
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Kamal Mammmadov, Engineer/Mathematician Adelaide, Australia Higher Education
2025 - Present University of Adelaide, Grant Funded Research Fellow (School of Computer Science)2023 - 2025 University of Adelaide, Post-doctoral Research Fellow (School of Computer Science)2019 - 2022 University of Adelaide, Doctorate of Philosophy2015 - 2017 University of Melbourne, Master of Engineering (Electrical)2012 - 2014 University of Melbourne, Bachelor of ScienceResearch Interests:Optimal Control, Robust Control and Differential GamesPrevious:BAE SystemsLockheed Martin Australia
I am a grant funded Research Fellow in the School of Computer and Mathematical Sciences. My main areas of research focus are:
1) Optimal and robust guidance laws for unmanned aerial vehicles under uncertainty
Develops optimal and robust guidance laws for unmanned aerial vehicles (UAVs) operating under uncertainty to enhance reliability in contested environments.
2) Distributed multi-agent asynchronous weapon target assignment algorithms
Designs distributed, multi-agent asynchronous algorithms for weapon–target assignment to enable resilient and scalable decision-making in dynamic combat scenarios.
| Date | Position | Institution name |
|---|---|---|
| 2025 - ongoing | Research Fellow | University of Adelaide |
| 2023 - 2025 | Postdoctoral Research Fellow | University of Adelaide |
| 2022 - 2023 | Algorithms Engineer | BAE Systems |
| 2021 - 2021 | Intern | Lockheed Martin |
| 2019 - 2022 | PhD Research Contract | University of Adelaide |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2019 - 2022 | University of Adelaide | Australia | Doctor of Philosophy |
| 2015 - 2017 | University of Melbourne | Australia | Master of Engineering (Electrical) |
| 2012 - 2014 | University of Melbourne | Australia | Bachelor of Science |
| Year | Citation |
|---|---|
| 2024 | Mammadov, K., Lim, C. C., & Shi, P. (2024). Unified optimality criteria for the Target–Attacker–Defender game. Journal of Control and Decision, 11(4), 1-18. Scopus2 WoS3 |
| 2023 | Mammadov, K., Lim, C. -C., & Shi, P. (2023). The holographic principle for the differential game of active target defence.. Int. J. Control, 96, 2725-2736. |
| 2022 | Mammadov, K., Lim, C. -C., & Shi, P. (2022). A state-feedback Nash equilibrium for the general Target-Attacker-Defender differential game of degree in arbitrary dimensions.. Int. J. Control, 95, 93-103. |
| 2022 | Mammadov, K., Lim, C. C., & Shi, P. (2022). A state-feedback Nash equilibrium for the general Target-Attacker-Defender differential game of degree in arbitrary dimensions. International Journal of Control, 95(1), 92-103. Scopus5 WoS8 |
| 2022 | Mammadov, K., Lim, C. C., & Shi, P. (2022). The holographic principle for the differential game of active target defence. International Journal of Control, 96(11), 1-12. Scopus2 WoS2 |
| 2021 | Mammadov, K. (2021). Pole placement parameterisation for full-state feedback with minimal dimensionality and range. International Journal of Control, 94(2), 382-389. Scopus3 WoS3 |
| 2020 | Mammadov, K., Lim, C. C., & Shi, P. (2020). State-Feedback Optimal Strategies for the Differential Game of Cooperative Target Defence: A Geometric Approach. International Journal of Control, 94(10), 2615-2622. Scopus10 WoS9 |
| Year | Citation |
|---|---|
| 2022 | Mammadov, K., Lim, C. C., & Shi, P. (2022). Generalising the capture the flag scenario to active target defence. In Proceedings of 2022 Australian & New Zealand Control Conference (ANZCC), ANZCC 2022 (pp. 120-125). IEEE Xplore digital library: IEEE. DOI |
FND000575: Defence Innovation Partnership - Collaborative Research Grant
Capstone Project Supervisor, COMP SCI 7098 Master of Computing & Innovation Project, Semester 1, 2025.
Lecturer and Course-Coordinator, COMP SCI 1400 Artificial Intelligence Technologies, Semester 2, 2024.
Guest Lecturer, ELEC ENG 3107 Autonomous Systems, Semester 2, 2019.
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