Papers

2

Total Citations

20

H-Index

2

About

Dr. Yazeed Alnumay is a rising researcher at the intersection of robotics and artificial intelligence, with a primary focus on autonomous systems for critical infrastructure and data-driven solutions for the energy sector. His most impactful work introduces a novel multi-robot system designed for the autonomous inspection of underwater pipelines in shallow waters, a contribution that has already garnered 16 citations since its 2024 publication. This research addresses a pressing industrial need for safer, more efficient monitoring of vital subsea assets. Additionally, Dr. Alnumay has made significant strides in overcoming data scarcity in the energy industry through his work on synthetic data generation for machine learning applications. His 2022 paper tackles the fundamental challenge of developing robust AI models when large, labeled real-world datasets are unavailable, a common bottleneck in industrial settings. By pioneering methods to create high-fidelity synthetic training data, Dr. Alnumay is enabling the broader adoption of machine learning technologies in energy, paving the way for smarter, more predictive maintenance and operational efficiency.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Multi-robot system for inspection of underwater pipelines in shallow waters
16 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Saudi Aramco (Saudi Arabia), Saudi Aramco (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago