Said Quqa

University of California San Diego

Papers

1

Total Citations

11

H-Index

1

About

Said Quqa is a researcher at the forefront of smart materials and structural health monitoring, with a particular focus on developing low-cost, scalable sensing solutions. His work bridges the gap between advanced nanocomposites and machine learning, as exemplified by his highly cited 2022 paper on "Pressure Mapping Using Nanocomposite-Enhanced Foam and Machine Learning," which has already garnered 11 citations. This research introduces a novel approach to distributed pressure sensing by combining compliant, large-area nanocomposite foams with efficient computational algorithms, offering transformative potential for healthcare and robotics applications. Quqa’s contributions extend to the development of fast and effective methods for pressure mapping, addressing key challenges in cost and scalability. His work is notable for its interdisciplinary impact, integrating materials science, sensor technology, and artificial intelligence to create practical, real-world solutions. With a growing citation record, Quqa is establishing himself as a key innovator in the field, whose research promises to advance both academic understanding and industrial applications in smart sensing systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Pressure Mapping Using Nanocomposite-Enhanced Foam and Machine Learning
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago