Biomechanics and Neural Engineering


Directors: Terence McIff, Ph.D.

Biomechanics is the scientific discipline that studies biological systems, such as the human body, using the methods of Mechanical Engineering. The purpose is to create new and innovative approaches, advance fundamental concepts, and apply knowledge to the improvement of the mechanics of biological systems.

While biomechanics represents a broad area of research, from the design of dental implants to the understanding of fluid dynamics in the vascular system, the biomechanics research focus at KU is on the human musculoskeletal system.

Our mission is to provide a quality graduate research and educational experience with emphasis on understanding and analyzing the mechanics of the human body through experimental measurement, mathematical modeling and computer simulations. This effort includes studies of the mechanics of the whole-body as a system, a group of body parts as a sub-system, and an individual body part as a component.

While this program is firmly grounded on the techniques in mechanical engineering, the nature of the research is multidisciplinary. Collaborative research is being fostered among researchers in engineering, mathematics, the sciences and the KU Medical Center.

 

An accessible version of the content below will be made available upon request. Please contact bioe@ku.edu to request the content be made available in an accessible format.

Track Faculty

Terence Mcliff
  • -Track Director, Biomechanics & Neural Eng.
  • -Associate Professor, Orthopedic Surgery and Sports Medicine, KUMC
  • -Director, Orthopedic Biomechanics and Bioengineering Labs

Suzanne Shontz
  • -Track Director, Computational Bioengineering
  • -Professor, Electrical Eng. and Computer Sci.
  • -Associate Dean for Research, School of Engineering
  • -Director, Mathematical Methods and Interdisciplinary Computing Research Center, Institute for Information Sciences
  • -Founding Director, Bachelor of Science in Interdisciplinary Computing Program, Department of Electrical Engineering and Computer Science