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Liming Salvino is a seasoned academic in the field of Civil and Environmental Engineering with a Ph.D. from American University, 1989. He has extensively contributed to the development and application of innovative techniques in structural health monitoring, particularly in naval applications. His research interests include automated systems for monitoring structural integrity and utilizing deep learning for pedestrian localization. He has collaborated on numerous publications detailing advancements in technologies like integrated sensing systems and wearable sensor platforms. With a rich history of involvement in various projects, Salvino has demonstrated expertise in utilizing machine learning for improving safety and efficiency in construction and naval engineering. He has published extensively in high-impact journals and has been involved in numerous international conferences, sharing his findings on monitoring systems and damage identification techniques. His dedication to advancing structural health monitoring research continues to influence both academic and applied engineering fields.
Department of Civil and Environmental Engineering • Duke University, Durham, NC
Serves as an executive member focusing on innovative research and teaching in civil and environmental engineering.
Department of Biomedical Engineering (MS program)