معرفی
Dr. Sarah J. Hamilton is an Associate Professor and Graduate Chair in the Department of Mathematical and Statistical Sciences at Marquette University. She specializes in inverse problems, nonlinear solution methods, and medical imaging, particularly in Electrical Impedance Tomography (EIT). Her research integrates deep learning and computational techniques to advance imaging technologies.
Education: Holds a BA in Mathematics from Saint Michael's College and a Ph.D. in Mathematics from Colorado State University. Previously, she was a Postdoctoral Researcher at the University of Helsinki's Centre of Excellence in Inverse Problems Research.
Research interests include developing algorithms for medical imaging systems like the ACE1 EIT system, which focuses on thoracic imaging applications. Her work emphasizes real-time imaging and model-based learning, leveraging graph neural networks and D-bar methods for improved diagnostic capabilities.
Publications span experimental and theoretical advancements in EIT, including 3D reconstructions, domain-independent deep learning frameworks, and comparative studies of inversion methods. While no specific awards are listed, her contributions highlight innovation in medical imaging and computational mathematics.
Advising focuses on training students in inverse problems and imaging sciences. She collaborates on research laboratories advancing EIT systems and computational imaging tools, contributing to interdisciplinary projects in biomedicine and engineering.
