Prof. Michael I. Miga

Fellow Member | Professor of Biomedical Engineering at Vanderbilt Univ
Miga, Michael I.
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SPIE Membership: 21.1 years
SPIE Awards: Fellow status | Senior status | 2020 SPIE Community Champion | 2019 SPIE Community Champion
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Area of Expertise: Image Guided Procedures, Modeling for Therapeutic Bioengineering, Numerical Methods, Inverse Problems
Websites: Company Website | Personal Website
Social Media: LinkedIn | Twitter
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Profile Summary

Michael I. Miga, Ph.D. received his B.S. and M.S. from the University of Rhode Island in Mechanical Engineering and Applied Mechanics, respectively. He received his Ph.D. from Dartmouth College specializing in biomedical engineering. He joined the faculty in the Department of Biomedical Engineering at Vanderbilt University in 2001 and is currently the Harvie Branscomb Professor at Vanderbilt. He is a Professor of Biomedical Engineering, Radiology and Radiological Sciences, Neurological Surgery, and Otolaryngology - Head and Neck Surgery. He is director of the Biomedical Modeling Laboratory, and co-founder of the Vanderbilt Institute for Surgery and Engineering (VISE, He has been PI on several NIH grants concerned with image-guided brain, liver, kidney, and breast surgery. He is also PI and Director of a novel NIH T32 training program entitled, ‘Training Program for Innovative Engineering Research in Surgery and Intervention’ that centers on clinical immersion and is focused on the creation of technology platforms for treatment and discovery in surgery and intervention. In 2014, Dr. Miga was inducted into the American Institute for Medical and Biological Engineering College of Fellows which represents the top 2% of medical and biological engineers. He served as a charter member of the Biomedical Imaging Technology (BMIT-B) and the Bioengineering, Technology, and Surgical Sciences (BTSS) Study Sections of the Center for Scientific Review at NIH from 2010-2014, and 2017-2021, respectively. His research interests are in image-guided surgery and intervention, computational modeling for therapeutic applications, soft-tissue mechanics, biotransport, and inverse problems in therapeutics and imaging.

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