Reuben A. Farrugia

University of Malta

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

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Use of UAVs and Deep Learning for Beach Litter Monitoring
20 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Malta

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago