Kenneth Jansen

Professor
Contact Information:
Kenneth.Jansen@colorado.edu
303-492-4359

Office Location: ECAE 161

Focus Area

Vehicle Systems, Bioastronautics

Education

Ph.D., Mechanical Engineering, Division of Applied Mechanics, with minor in Aeronautics
& Astronautics, Stanford University, 1993
M.S., Mechanical Engineering, Stanford University, 1988
B.S., Mechanical Engineering, University of Missouri-Columbia, 1987

Professional Experience

2010-present, ProfessorAerospace Engineering, University of Colorado
2007-2009, Full Professor, Department of Mechanical, Aerospace and Nuclear Engineering, with
joint appointments in Biomedical Engineering, Computer Science and in Information Technology,
Rensselaer Polytechnic Institute
2001-2009, Associate Professor, Department of Mechanical, Aeronautical and Nuclear Engineering,
with joint appointments in Biomedical Engineering, Computer Science and in Information Technology,
Rensselaer Polytechnic Institute
1996-2001, Assistant Professor, Department of Mechanical Engineering with joint appointments in
Computer Science (2001) and in Information Technology (1998), Rensselaer Polytechnic Institute
1993-1996, Post-doctoral Fellowship, Center for Turbulence Research, NASA Ames/Stanford
University. Large-eddy simulation utilizing unstructured-grid finite element methods.

Awards (selected)

Associate Fellow AIAA (2011)
Boeing Supplier of the Year in the technology category (2011)
Rensselaer School of Engineering Faculty Research Award 2009
Young Investigator Award from the International Association for Computational Mechanics (2004)
The Lewis T. Assini Undergraduate Teaching and Counseling Award from the Department of
Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (2004)
National Science Foundation CAREER Award (2000)
R.H. Gallagher Young Investigator Award from the United States Association of Computational
Mechanics (2001)

Research Interests

Computational mechanics with emphasis on fluid dynamics and turbulence modeling. Specialization in massively parallel simulations using unstructured/adaptive grids. Applications include aerodynamics (with an emphasis on flow control and turbulence), biological flows (cardiovascular and respiratory), and two-phase flows.