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Dr Asanka Perera

Dr Asanka Perera
Name Asanka Perera
Pronoun He/Him/His
Position Lecturer (Mechatronic Engineering)
Section School of Engineering
Office B454
Location Springfield Campus
Phone +61 7 3470 4042
Extension 4042
Email
Qualifications BScEEEng Peradeniya , MScience IndustrialAutomation Moratuwa , PhD UniSA
Homepage https://research.usq.edu.au/researcher/z2294/dr-asanka-perera
The views expressed on staff homepages may not reflect the views of the University.

Biography

Asanka is a lecturer at the University of Southern Queensland (UniSQ). His research is focused on robotics, mechatronics, drones, machine learning (including adversarial attacks and defence mechanisms on images and 3D point clouds), computer vision and signal processing. Some of his notable past works include human vital detection from drones, multi-sensor fusion and multi-robot navigation. Prior to joining UniSQ, Asanka was the Robotics and Autonomous Systems lab manager at UNSW Canberra at Australian Defence Force Academy. He has worked with several industry partners and government organizations as a research scientist. Asanka's research has attracted international media attention, including Scientific American, BBC and ABC Australia.

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My Grants (selected)

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* Australian Department of Defence grant

* Bio-Inspired Robot Navigation and Control in Unknown and Limited Visibility Environments, US Department of Airforce / Asian Office of Aerospace Research and Development (AOARD) (2023), AUD 17,546

* Heterogeneous Robot Swarms, UNSW Research Infrastructure Scheme (2023), AUD 68,645

* Trusted Autonomy Self Forming Research Group Bid, School of Engineering and IT, UNSW Canberra (2022-2023), AUD 27,911

* Vital Sign & Disease Detection at a Distance, Vital Intelligence Inc, 23/04/2020 - 23/10/2020

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PhD supervision

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* I am available to supervise PhD students. My expertise includes robotics (mobile ground robots and drones), computer vision (camera and LIDAR) and machine learning.

* I value both the theoretical and application side of the research. Some of my past works were successfully commercialized with the help of industry partners.

* Many fascinating research topics await further exploration!

* Please email me if you are interested in pursuing a PhD in the above areas.

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Currently supervising (PhDs)

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* Robust 3D object recognition against adversarial examples and common corruptions.

* Vision-based swarm robot localization in low-light conditions.

* Biomimetic Processing of Direction Signals.

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Past Teaching

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At UNSW:

Fundamentals of Robotics and Autonomous Systems (ZEIT4160) (2023) |

Robotics & AI lab class - Deep Learning (ZEIT4154) (2023).

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At UniSA:

Electrical and Electronic Systems (2021) |

Industrial Automation (2021) |

Autonomous Mechatronic Systems (2019) |

Mechatronic System Design (Teaching award, 2019) |

Engineering Hours Project (2016, 2017, 2018, 2019, 2020) |

Advanced Control (2017) - tutoring |

Control Systems (2016, 2017) - tutoring.

Research Career


  • Control Engineering ( 400700 )
  • Autonomous Vehicle Systems ( 400703 )
  • Computer Vision ( 460304 )
  • Image Processing ( 460306 )
  • Social Robotics ( 460810 )
  • Human-Centred Computing ( 460800 )
  • Adversarial Machine Learning ( 461101 )
  • Deep Learning ( 461103 )
  • Computer Vision And Multimedia Computation ( 460300 )
  • Artificial Intelligence ( 460200 )
  • Machine Learning ( 461100 )
  • Intelligent Robotics ( 460205 )
  • Field Robotics ( 400706 )

Field robotics, Intelligent robotics, Autonomous vehicle systems, Computer vision, Machine learning, Adversarial Machine Learning, Artificial intelligence


Member IEEE
Member Australian Computer Society
Member (Professional Engineer) – Engineers Australia


Professional Service
* Co-organizer, IEEE TENSYMP 2023 conference.
* Co-organizer, Ubiquitous Robots 2023 workshop - Bio-Inspired Robot Navigation and Control in Unknown and Limited Visibility Environments.
* Topic editor, Frontiers in Robotics and AI, Bio-Inspired Robot Navigation and Control in Unknown and Limited Visibility Environments, 2023.
* Guest editor, Remote Sensing, Special Issue on Computer Vision and Image Processing in Remote Sensing, 2022-2023.
* Guest editor, Applied Sciences, Special Issue on Autonomous Mobile Robotics: Latest Advances and Prospects, 2024-2025.


  • Centre for Future Materials (CFM)
  • Centre for Astrophysics (CA)

Teaching


8 Years

Supervision


  • Control Engineering ( 400700 )
  • Autonomous Vehicle Systems ( 400703 )