Dr Juan Sandino Mora
Faculty of Engineering,
School of Electrical Engineering & Robotics
Biography
Juan is a research engineer with a passion for developing drone-based remote sensing solutions to address some of the biggest Australia's environmental and surveillance needs, especially in precision agriculture, biosecurity, Australia's and Antarctica's environmental monitoring, and automated systems for search and rescue. His primary interests comprise autonomous small UAV decision-making, machine learning and computer vision for UAV remote sensing, with a focus on hyperspectral and high-resolution image processing. Juan has over four years of experience in projects involving hyperspectral and high‑resolution image processing from airborne UAV data in areas such as biosecurity and environment monitoring. He has worked for research projects in biosecurity, environment monitoring and time-critical applications such as land SAR to find lost people in collapsed buildings and bushlands.Personal details
Positions
- Research Fellow in Remote Sensing
Faculty of Engineering,
School of Electrical Engineering & Robotics
Keywords
drones, decision making under uncertainty, environmental monitoring, biosecurity, precision agriculture, hyperspectral image processing, onboard drone object detection, embedded systems, computer vision
Research field
Artificial intelligence, Other engineering, Aerospace engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
- BEng (Mechatronics) (Other)
Publications
Research outputs by year
- Sandino, J., Maire, F., Caccetta, P., Sanderson, C. & Gonzalez, L. (2021). Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty. Remote Sensing, 13(21). https://eprints.qut.edu.au/225962
- Sandino, J., Vanegas Alvarez, F., Maire, F., Caccetta, P., Sanderson, C. & Gonzalez, L. (2020). UAV framework for autonomous onboard navigation and people/object detection in cluttered indoor environments. Remote Sensing, 12(20). https://eprints.qut.edu.au/205546
- Sandino , J., Vanegas, F., Gonzalez, F. & Maire, F. (2020). Autonomous UAV navigation for active perception of targets in uncertain and cluttered environments. Proceedings of 2020 IEEE Aerospace Conference, 1–12. https://eprints.qut.edu.au/200148
- Sandino Mora, J., Pegg, G., Gonzalez, F. & Smith, G. (2018). Aerial mapping of forests affected by pathogens using UAVs, hyperspectral sensors, and artificial intelligence. Sensors, 18(4), 1–17. https://eprints.qut.edu.au/223634
- Sandino Mora, J., Gonzalez, F., Mengersen, K. & Gaston, K. (2018). UAVs and machine learning revolutionising invasive grass and vegetation surveys in remote arid lands. Sensors, 18(2), 1–13. https://eprints.qut.edu.au/223456
QUT ePrints
For more publications by Juan, explore their research in QUT ePrints (our digital repository).