Reuben A. Farrugia
Papers
2
Total Citations
26
H-Index
2
About
Reuben A. Farrugia is a leading researcher in computer vision and artificial intelligence, with a primary focus on environmental monitoring and advanced imaging technologies. His most impactful work addresses the pressing global issue of marine pollution through the innovative application of unmanned aerial vehicles (UAVs) and deep learning for automated beach litter monitoring. This seminal 2022 paper, which has garnered 20 citations, establishes foundational methods for autonomous litter detection and retrieval, offering a cost-effective alternative to manual cleanup efforts. Farrugia has also made significant contributions to the field of light field imaging, authoring a comprehensive 2017 overview that explores its potential across computational photography, augmented reality, and medical imaging. His work bridges theoretical advances with practical, real-world applications, demonstrating a commitment to leveraging cutting-edge technology for environmental sustainability. With a citation count reflecting the growing relevance of his research, Farrugia continues to shape the intersection of computer vision and ecological conservation, inspiring future work in autonomous systems for planetary health.
Research Focus
Key Achievements
Top Papers
- 1Use of UAVs and Deep Learning for Beach Litter Monitoring20 citations · 2022
- 2Light field image processing : overview and research issues6 citations · 2017