Muhammad Monjurul Karim
Stony Brook University, Missouri University of Science and Technology
Papers
4
Total Citations
69
H-Index
3
About
Dr. Muhammad Monjurul Karim is a leading researcher at the intersection of civil infrastructure and artificial intelligence, focusing on automating the critical task of bridge inspection. His work addresses the immense challenge of maintaining aging transportation networks by developing advanced computer vision and deep learning models to analyze inspection data. Dr. Karim’s major contributions include pioneering a semi-supervised self-training method for segmenting multiclass bridge elements from inspection videos, a technique that reduces the reliance on labor-intensive manual annotations. He has also developed a multitask deep learning model capable of simultaneously parsing bridge components and segmenting surface defects, significantly streamlining condition assessment. With his most-cited papers accumulating over 65 citations, his research is foundational for integrating robotic and drone-collected visual data into practical, automated inspection workflows. By creating algorithms that can intelligently interpret complex visual scenes—distinguishing structural elements like decks and girders from defects like cracks and spalls—Dr. Karim is directly enabling safer, faster, and more cost-effective infrastructure management. His work is essential reading for anyone interested in the practical application of AI to solve real-world civil engineering problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling and Simulation of a Robotic Bridge Inspection System22 citations · 2020
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- 4