Eric Miller

Eric Miller's work addresses critical gaps in the fields of image processing and computational physical modeling. As a Professor at Tufts University, he holds positions in Electrical and Computer Engineering, Computer Science, Biomedical Engineering, and Mathematics. His interdisciplinary approach allows him to tackle complex problems across multiple domains, making significant contributions to both theoretical and applied research. Dr. Miller's research primarily focuses on image processing, image formation, and inverse problems. He is particularly interested in the development of advanced computational techniques for physical modeling, which have broad applications in medical imaging, environmental monitoring, and target detection. By integrating physics-based tomographic image formation with statistical signal processing, he aims to enhance the accuracy and reliability of imaging technologies. In the realm of medical imaging, Eric's work is pivotal in improving diagnostic tools and techniques, offering new insights into object characterization and regularization. His research in environmental monitoring contributes to better understanding and management of natural resources, while his efforts in target detection have implications for both civilian and defense applications. Throughout his career, Eric Miller has been dedicated to advancing the field of signal and image processing. His innovative methodologies and collaborative projects continue to push the boundaries of what is possible in computational imaging, making a lasting impact on both academia and industry.