
CM
Unit: School of Medicine
Department: Department of Biomedical Engineering
Office location and address
Room 2051
415 Lane Rd
Charlottesville,
Virginia
22903
Education
Ph.D. Electrical Engineering, Stanford University
Publications
Sponsored Awards
Comprehensive MRI Guidance of Focused Ultrasound Neurosurgery
Source: U.S. NIH Institute of Biomedical Imaging & Bioengi
September 01, 2020 – May 31, 2024
Passive antennas for improved image quality in transcranial MR-guided focused ultrasound
Source: Vanderbilt University Medical Center
May 01, 2020 – July 31, 2022
MD-BIOM Motion-Robust Methods for Rapid Pediatric MRI with Sedation
Source: U.S. NIH Institute of Biomedical Imaging & Bioengi
September 01, 2016 – June 30, 2019
MD-Biom REal-time 3D MR Thermometry for Focused Ultrasound Surgery
Source: Focused Ultrasound Foundation
June 10, 2013 – February 29, 2016
MD-RADL Evaluation of Spiral-Based 3D MR Thermometry for Brain Applications of MR-Guided Focused Ultrasound in a Porcine Model
Source: Radiological Soc Of North America
July 01, 2014 – June 30, 2015
Improved MR Techniques for Coronary Artery Imaging
Source: U.S. NIH Heart, Lung, And Blood Institute
July 01, 2006 – May 31, 2014
Courses
Credits: 1–3
A year-long research project in biomedical engineering conducted in consultation with a department faculty advisor; usually related to ongoing faculty research. Includes the design, execution, and analysis of experimental laboratory work and computational or theoretical computer analysis of a problem. Requires a comprehensive report of the results. Prerequisite: third- or fourth-year standing, and instructor permission.
Credits: 3
The principle objective of this course is to instruct graduate students on fundamental mathematical, modeling, and computational principles of relevance in biomedical engineering. The course is structured to provide lecture material, biomedical examples that use modeling and computation, and homework/exams that strengthen the mathematical and computational foundation of the graduate students. Prerequisites: 1. BME 6101: Physiology I (or equivalent) 2. SEAS grad student status 3. Some previous exposure to probability-statistics, Fourier analysis, and linear systems 4. Or instructor permission
Credits: 3
Students will gain a fundamental understanding of the theoretical principles underlying biomedical measurements. Topics are organized sequentially from signal initiation through signal processing to downstream statistical analysis of measurements. Students will be exposed to the practical implementation of general principles through homework assignments that involve the analysis and evaluation of molecular, cellular, and clinical measurements. Prerequisites: 1. BME 6101: Physiology I (or equivalent) 2. SEAS graduate student status 3. Some previous exposure to probability-statistics, Fourier analysis, and linear systems 4. Or Instructor Permission
Credits: 3
The course covers the physical principles of nuclear magnetic resonance, the biological and medical problems addressed using MRI, the analysis and design of MRI pulse sequences from a signal processing perspective, and MR image reconstruction techniques. It will introduce various advanced topics, including non-Cartesian scanning and compressed sensing. The course will include a laboratory session working with an MRI scanner. Prerequisites: BME 6311 BME Measurement Principles, or knowledge of 2D Fourier transforms and linear systems theory.
Credits: 1–6
FOR M.E. STUDENTS ONLY. A research project in biomedical engineering conducted in consultation with a faculty advisor. Includes the design, execution, and analysis of experimental laboratory work and computational or theoretical computer analysis of a problem. Fulfills the project requirement for the Biomedical Engineering Masters of Engineering degree. Prerequisites: Instructor Permission Required.
Credits: 1–12
Master's Research
Credits: 1–12
Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. May be repeated as necessary.
Credits: 1–12
Formal record of commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.