Dr. Jason Kolodziej

Assistant Professor

Phone: 585-475-4313

Office: 09-2189

E-mail: jrkeme@rit.edu

Dr. Jason Kolodziej is an Assistant Professor of Mechanical Engineering at the Rochester Institute of Technology (RIT). He received his BS, MS, and Ph.D. in mechanical engineering from the State University of New York at Buffalo finishing in 2001. His research focus was primarily in controls & nonlinear system identification for parameter and state estimation from measurement data using a statistical variance approach.

For seven year Dr. Kolodziej worked in industry for General Motors Fuel Cell Activities in Honeoye Falls NY, as a Sr. Research Engineer. During this time his principle duties were in hybrid electric-fuel cell vehicle powertrain controls and system architecture. He has spent numerous hours in-vehicle on the European and high temperature test tracks recording measurements, calibrating algorithms, and developing diagnostics that he designed and implemented in both a rapid prototype and embedded environment. He also has extensive modeling experience in nonlinear systems using first principles approaches and experimental responses for vehicle control and design applications. To date he has applied for, or has been granted, 15 U.S. Patents related to hybrid fuel cell vehicle systems mainly as the principle investigator.

Dr. Kolodziej’s research plan is to utilize his research experience in online system analysis and measurement to continue the study of autonomous engineering systems as related to control, modeling, diagnostics, and fault detection.  Through the extensive study of adaptive techniques it is possible to significantly improve a systems behavior subject to numerous external disturbances while still achieving critical system objectives. The initial platform of interest is in unmanned (or manned) vehicle systems including aerial, terrestrial, subsea, or lunar. The adaptive systems scope is not limited to “next-generation” engineering systems, but current industrial applications as well from turbomachinery to digital imagery.

He has more than three years experience as a part-time and full faculty member teaching at the undergraduate and graduate level.