
About
Mehdi Norouzi is an Associate Professor at the University of Cincinnati in the Department of Computer Science. His research focuses on video structure analysis and deep video understanding, with applications in medical imaging and social media analysis.
Research interests include:
- Video temporal segmentation and scene detection
- Deep learning approaches for video summarization
- Language-guided video analysis frameworks
- Medical video processing applications
His publications demonstrate a consistent focus on applying machine learning techniques to structural engineering problems through 2015-2018, shifting toward computer vision and transformer networks in recent years (2022-2023). This reflects an evolution from infrastructure diagnostics to advanced video analysis.
Dr. Norouzi has secured multiple research grants from entities including the Federal Highway Administration and Department of Transportation, focusing on video analysis, structural monitoring, and machine learning applications. Current projects involve facial/skeletal tracking for medical applications and soil modulus prediction models.
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