Anand Vetrivel

Papers

Total Citations

204

H-Index

About

Dr. Anand Vetrivel is a leading researcher in the application of remote sensing and computer vision for structural health monitoring and disaster response. His work centers on developing advanced methodologies for automated damage detection and characterization using unmanned aerial vehicles (UAVs) and satellite imagery. His seminal review, "UAV-Based Structural Damage Mapping: A Review" (2019), has garnered over 200 citations, establishing a foundational framework for the field. Dr. Vetrivel's major contributions include pioneering deep learning techniques for pixel-level damage segmentation from multi-modal sensor data, significantly improving the speed and accuracy of post-earthquake and post-hurricane building assessments. His research has been instrumental in transitioning structural damage mapping from manual, time-intensive processes to automated, scalable solutions. Recognized for his innovative integration of photogrammetry and machine learning, his work directly informs rapid response strategies for humanitarian aid and infrastructure resilience. Dr. Vetrivel continues to push the boundaries of autonomous aerial sensing, making him a pivotal figure in modern disaster informatics.