Marco Plate

Marco Plate is a Lecturer at the Department of Industrial and Information Engineering, University of Pavia. His research focuses on applying artificial intelligence and computer vision techniques to structural engineering challenges, particularly post-earthquake damage detection using semi-synthetic image generation. He has published in journals like Engineering Applications of Artificial Intelligence and Lecture Notes in Computer Science. His work emphasizes improving crack detection accuracy through advanced machine learning methods.

Education & Affiliations:

• Department of Industrial and Information Engineering, University of Pavia

Research Interests:

Dr. Plate investigates the intersection of AI-driven technologies and civil engineering infrastructure resilience. His current projects include developing tunable semi-synthetic image datasets to enhance post-disaster structural analysis systems. This research bridges computer science methodologies (e.g., neural networks) with practical civil engineering applications like bridge and building damage assessment.

Grants & Advising:

• No specific grants or advised students listed

Labs/Teams:

Active in the university's Smart Infrastructure Research Group, focusing on AI applications for civil infrastructure monitoring.