The following research projects focus on the behavior of living systems and their interaction with engineered materials and devices.
Faculty and students in the School of Engineering collaborate with faculty in Computer Science, Mathematics, and the College of Medicine on studies involving bioinformatics, data mining, and bioengineering studies of neurological systems.
Application areas include:
- Neurological Systems
- Systems and Synthetic Biology
For more information, see the Biomedical Engineering Graduate Program.
Orthopaedic Biomechanics and Mechano-Biology
Investigating degeneration, regeneration, and tissue engineering on scales ranging from cellular biosynthesis to tissue-level bioengineering and full-joint mechanics.
Contacts: Yves Dubief, Jeff Laible, Bruce Beynnon (Ortho/Rehab)
Biomechanics of Human Movement
Investigating how human movement is coordinated and controlled. Bio-inspired locomotion robots are designed, constructed, and analyzed.
Contacts: Michael Coleman, Josh Bongard (CS), Sharon Henry (Physical Therapy), Ge Wu (Physical Therapy)
Biomechanics of the Lung
Investigating how the mechanical properties of the lung are linked to its structure and how they are altered in various pulmonary diseases. In collaboration with the Vermont Lung Center.
Contact: Jason Bates (College of Medicine)
Biomechanics of the Vascular System
Investigating how vascular structure influences function, both physiologically and pathologically. A collaboration between the Mechanical Engineering program and the departments of Pharmacology, Obstetrics & Gynecology, and Neurology.
Contacts: Yves Dubief, Jeff Marshall
Bio-Imaging and Signal Processing
Faculty and students involved in the bio-imaging and signal processing area work on topics involving multidimensional, multiresolution signal processing. The goal is to map conduction of electrical activity in the heart to aid in procedures for destroying diseased tissue.
Contacts: Gagan Mirchandani, Kurt Oughston
Control Systems in Molecular Biology
Organisms use feedback to respond to changing conditions, optimize the use of resources, and maintain homeostasis. Our goal is to understand how feedback provides robust, predictable regulation by engineering novel genetic control systems in single-celled microorganisms.
Contacts: Mary Dunlop