Kamal Mammadov

Dr Kamal Mammadov

Postdoctoral Research Fellow

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and 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.

  • Appointments
    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

  • Education
    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

  • Research Interests
    Control Theory

  • Journals
    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.
    DOI 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.
    DOI 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.
    DOI 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.
    DOI 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.
    DOI Scopus10 WoS9

  • Conference Papers
    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.

  • Position: Postdoctoral Research Fellow
  • Phone: 83134949
  • Email: kamal.mammadov@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor Level Four
  • Org Unit: Computer Science
Connect With Me
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