معرفی
Ethan K. Murphy is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering. His research focuses on electrical impedance tomography (EIT), finite element method (FEM) modeling, and data fusion for biomedical applications such as stroke monitoring, hemorrhage detection, and cancer imaging. He holds a PhD in Mathematics from Colorado State University (2007) and has been recognized with awards including the Society of Critical Care Medicine’s Gold Snapshot Award (2021) and the Clinical Poster Award at the Northeast ALS Conference (2019).
His work integrates computational methods with medical technologies, such as developing smartphone-based 3D scanning for EEG electrode localization and EIT systems for real-time tissue characterization. He collaborates on devices like EIT-coupled surgical staplers and non-invasive biomarker systems for hypovolemic cardiovascular instability. His labs and projects emphasize interdisciplinary approaches to biomedical engineering challenges.
Key contributions include advancements in fused-data EIT for breast and prostate cancer imaging, phantom studies for validation, and algorithms for rapid FEM mesh generation from 3D scans. Current initiatives aim to improve early detection of internal bleeding and enhance medical imaging accuracy through machine learning and multi-modal data integration.
