Dr Fernando Vanegas Alvarez
Faculty of Engineering,
School of Electrical Engineering & Robotics
Biography
Fernando Vanegas is a Lecturer at the School of Electrical Engineering and Robotics of the Queensland University of Technology. He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy and Drone-based remote sensing. He has led the development of frameworks for planning UAV missions in GNSS-denied environments using reinforcement learning and optimal sequential decision-making. His current research interests include motion planning for UAV exploration in GPS-denied and cluttered environments, POMDP, SLAM and Visual Odometry, and AI-assisted Remote SensingPersonal details
Positions
- Lecturer
Faculty of Engineering,
School of Electrical Engineering & Robotics
Research field
Aerospace engineering, Artificial intelligence, Control engineering, mechatronics and robotics
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
Teaching
EGH419 Advanced Design and Entrepreneurship
EGH455 Advanced Systems Design
EGB349 Systems Engineering and Design Project
EGH450 Advanced Unmanned Aircraft Systems
Publications
Research outputs by year
- Amarasingam, N., Vanegas, F., Hele, M., Warfield, A. & Gonzalez, F. (2024). Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments. Remote Sensing, 16(9). https://eprints.qut.edu.au/248651
- Boiteau, S., Vanegas, F. & Gonzalez, F. (2024). Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments. Remote Sensing, 16(3). https://eprints.qut.edu.au/247033
- Boiteau, S., Vanegas, F. & Gonzalez, F. (2024). A Comprehensive Framework for UAV-Based Autonomous Target Finding in Environments with Limited Global Navigation Satellite Systems and Reduced Visibility. Proceedings of the 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 160–167. https://eprints.qut.edu.au/250707
- Walker, V., Vanegas, F. & Gonzalez, F. (2023). Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments. Remote Sensing, 15(15). https://eprints.qut.edu.au/242489
- 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
- Vanegas Alvarez, F., Bratanov, D., Powell, K., Weiss, J. & Gonzalez, F. (2018). A novel methodology for improving plant pest surveillance in vineyards and crops using UAV-based hyperspectral and spatial data. Sensors, 18(1), 1–21. https://eprints.qut.edu.au/223581
QUT ePrints
For more publications by Fernando, explore their research in QUT ePrints (our digital repository).
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Completed supervisions (Doctorate)
Completed supervisions (Masters by Research)
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