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Ph.D. Leslie M Collins

Duke University · Electrical Engineering
Physics-based machine learning algorithms for big data including developing remediation strategies for the hearing impaired sensor-based algorithms for the detection of hazardous buried objects

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Leslie M Collins, Ph.D., is a Professor of Electrical and Computer Engineering at Duke University. Her research focuses on physics-based machine learning algorithms for big data, including the development of remediation strategies for the hearing impaired and sensor-based algorithms for the detection of hazardous buried objects. She is affiliated with the Department of Electrical and Computer Engineering and holds the title of Professor of Electrical and Computer Engineering. Dr. Collins' work spans applications in artificial intelligence, signal processing, and biomedical engineering, with a particular emphasis on auditory prostheses and subsurface sensing. Her research has been supported by various funding agencies, including the Department of Defense and the National Institutes of Health.


Scholar profile summary
Scholar-generated biography

Leslie M Collins is a Professor of Electrical and Computer Engineering at Duke University, specializing in signal processing. Her research focuses on advanced signal processing techniques for applications such as landmine detection, geophysical sensing, and financial fraud detection. She has developed methods for analyzing ground-penetrating radar data, electromagnetic induction, and magnetometer data to identify unexploded ordnance and landmine-like targets. Her work also includes automatic detection of solar photovoltaic arrays in aerial and satellite imagery, as well as speech recognition in cochlear implant users. Collins has contributed to the development of deep learning models for remote sensing and object identification, emphasizing the integration of signal processing with machine learning for real-world applications.

Source: google_scholar · 111 words
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