Hooman Parvardeh

Rutgers, The State University of New Jersey

Papers

5

Total Citations

647

H-Index

5

About

Hooman Parvardeh is a researcher specializing in robotics, mechatronics, and automated non-destructive evaluation (NDE) of civil infrastructure, with a particular focus on concrete bridge deck inspection. His most significant contribution is the development of the STRUM algorithm for automated crack detection on concrete bridges, a groundbreaking image-processing approach that has garnered over 460 citations and transformed how structural health monitoring is approached in the field. Alongside this, Parvardeh played a central role in designing the mechatronic systems underlying autonomous robotic inspection platforms, including the widely recognized RABIT™ (Robotic Assisted Bridge Inspection Tool), which has been deployed in real-world assessments such as the Arlington Memorial Bridge. His work bridges the gap between advanced robotics and civil engineering, enabling high-efficiency, scalable inspection solutions that address the growing limitations of conventional manual NDE practices. With cumulative citations exceeding 640 across his key publications, Parvardeh's research has meaningfully influenced both academic inquiry and practical infrastructure management. His later work on early problem detection and robotic rehabilitation further demonstrates a commitment to developing end-to-end solutions for maintaining the safety and longevity of aging bridge infrastructure.

Research Focus

Key Achievements

5
H-Index
5
Papers
647
Total Citations
129
Avg Citations/Paper
🏆 Most Cited Paper
Automated Crack Detection on Concrete Bridges
461 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Rutgers, The State University of New Jersey

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago