معرفی
Michael I. Miller is the Bessie Darling Massey Professor and Director of the Department of Biomedical Engineering at Johns Hopkins University's Whiting School of Engineering. He also serves as Co-Director of the Kavli Neuroscience Discovery Institute and Director of the Center for Imaging Science. His affiliations extend to the Institute for Computational Medicine, the Kavli Neuroscience Discovery Institute, and the Mathematical Institute for Data Science (MINDS).
Miller earned his BS in Electrical Engineering from the State University of New York at Stony Brook (1976), followed by an MS in Electrical Engineering (1979) and a PhD in Biomedical Engineering (1984) from Johns Hopkins University.
His research focuses on computational neuroscience, medical imaging, and computational anatomy, with applications in neurodegenerative diseases such as Alzheimer’s, Huntington’s, schizophrenia, and epilepsy. He develops advanced data science tools to analyze brain scans and predict neurological disorders before clinical onset. His work is highly translational, having led to the co-founding of four start-up companies.
Miller has received numerous honors, including being named an IEEE Fellow, a Gilman Scholar at Johns Hopkins, and recognition by ISI for exceptional citation growth. He is also an elected Fellow of AIMBE and BMES.
- IEEE Biomedical Engineering Thesis Award (1982)
- NSF Presidential Young Investigator Award (1986)
- ISI Essential Science Indicators Recognition (2002)
- Johns Hopkins Gilman Scholar (2011)
- IEEE Fellow (2020)
He has co-authored over 200 peer-reviewed publications and two seminal textbooks on random point processes and computational anatomy. His lab develops cloud-based systems for sharing brain imaging data and analysis algorithms. Miller previously held the Newton R. and Sarah L. Wilson Professorship at Washington University before returning to Johns Hopkins in 1998, where he later became the Herschel and Ruth Seder Professor and eventually Director of Biomedical Engineering in 2017.
Miller leads major interdisciplinary research centers, including the Kavli Neuroscience Discovery Institute and the Center for Imaging Science, fostering collaboration across engineering, neuroscience, and data science.
