Jason Kolodziej Headshot

Jason Kolodziej

Associate Professor

Department of Mechanical Engineering
Kate Gleason College of Engineering

585-475-4313
Office Location

Jason Kolodziej

Associate Professor

Department of Mechanical Engineering
Kate Gleason College of Engineering

Education

BS, MS, Ph.D., State University of New York at Buffalo

Bio

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

For eight years Dr. Kolodziej worked in industry for General Motors Fuel Cell Activities as a Sr. Research Engineer with his principle duties in hybrid electric-fuel cell vehicle powertrain controls and system architecture. To date he has applied for, or has been granted, 15 U.S. Patents related to fuel cell vehicle systems mainly as the principle investigator.

Dr. Kolodziej’s research plan is to utilize his research experience in online system analysis, measurement, and control, to continue the study of fault detection, diagnosis, and prognostic health assessment of engineering systems. He currently has projects covering a wide range of industrial applications from: electromechanical actuators for aircraft applications to fuel cell automotive powertrains to large scale reciprocating compressors to implantable ventricular heart pumps.

He has more than ten years’ experience as a part-time and full faculty member teaching at the undergraduate and graduate level including mentoring more than 34 multidisciplinary senior design teams.

585-475-4313

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Published Conference Proceedings
Kolodziej, Jason R and John N Trout. "Reciprocating Compressor Valve Condition Monitoring Using Image-based Pattern Recognition." Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016. Ed. PHM Society. Denver, CO: n.p., 2016. Web.
Rana, Rohit, Karl Q. Schwarz, and Jason R. Kolodziej. "Non-Invasive Fault Detection in an Axial Flow Blood Pump Used as a Ventricle Assistive Device." Proceedings of the ASME Dynamic Systems and Control Conference. Ed. ASME. San Antonio, TX: ASME, 2014. Print.
Holzenkamp, Markus, et al. "An Experimentally Validated Model for Reciprocating Compressor Main Bearings for Applications in Health Monitoring." Proceedings of the 2013 ASME Dynamic Systems and Control Conference. Ed. ASME. Palo Alto, CA: n.p., 2013. Print.
Guerra, Christopher J. and Jason R. Kolodziej. "A Validated System-level Thermodynamic Model of a Reciprocating Compressor With Application To Valve Condition Monitoring." Proceedings of the 2013 ASME Dynamic Systems and Control Conference. Ed. ASME. Palo Alto, CA: n.p., 2013. Print.
Sridhar, Rahulram and Jason R. Kolodziej. "Bearing Fault Detection in Electromechanical Actuators from Empirically Extracted Features." Proceedings of the 2013 AIAA Atmospheric Flight Mechanics Conference. Ed. AIAA. Boston, MA: n.p., 2013. Print.
Hussain, Heather S., Agamemnon L. Crassidis, and Jason R. Kolodziej. "Verification and Validation of a Theoretical Model of a Direct Drive Valve-Controlled Electrohydrostatic Actuator for Primary Flight Control." Proceedings of the 2013 AIAA Atmospheric Flight Mechanics Conference. Ed. AIAA. Boston, MA: n.p., 2013. Print.
Kolodziej, Jason R, Anna T. Jensen, and Jodi L. Carville. "An Aerospace Themed Design Experience for Middle School Girls Interested in STEM Careers." Proceedings of the 2013 AIAA Atmospheric Flight Mechanics Conference. Ed. AIAA. Boston, MA: n.p., 2013. Print.
Kolodziej, Jason. "Adaptive Rear-Wheel Steering Control of a Four-Wheel Vehicle Over Uncertain Terrain." Proceedings of the ASME Dynamic Systems & Control Conference, Oct 17th-19th, 2012. Ed. ASME. Ft. Lauderdale, FL: n.p., Print.
Chirico, Anthony J. and Jason R. Kolodziej. "A Data Driven Frequency Based Feature Extraction and Classification Method for EMA Fault Detection and Isolation." Proceedings of the ASME Dynamic Systems & Control Conference, Oct 17th-19th, 2012. Ed. ASME. Ft. Lauderdale, FL: n.p., Print.
Chirico, Anthony J. and Jason R. Kolodziej. "Electro-Mechanical Actuator Condition Monitoring Via a Data Driven Methodology." Proceedings of the SAE Power Systems Conference, Oct. 30th-Nov 1st, 2012. Ed. SAE. Phoenix, AZ: n.p., Print.
Kolodziej, J. R. "An Intelligent Nonlinear System Identification Method with Robust State Estimation." Proceedings of the 2011 ASME Dynamic Systems & Control Conference. Ed. ASME. Arlington, VA: n.p., 2011. Print.
Kagabo, W.B. and J.R. Kolodziej. "Trajectory Determination for Energy Efficient Autonomous Soaring." Proceedings of the 2011 American Control Conference. Ed. IEEE. San Francisco, CA: n.p., 2011. Print.
Full Patent
Kolodziej, Jason R. "Self-Tuning Thermal Control of an Automotive Fuel Cell Propulsion System." U.S. Patent 9437884. 6 Sep. 2016.
Journal Paper
Chirico, Anthony J. III and Jason R. Kolodziej. "Data-Driven Methodology for Fault Detection in Electromechanical Actuators." ASME J. Dyn. Sys., Meas., Control 136. 4 (2014): 1-16. Print.
Guerra, Christopher J. and Jason R. Kolodziej. "Data-Driven Approach for Condition Monitoring of Reciprocating Compressor Valves." ASME J. Eng. Gas Turbines Power 136. 4 (2014): 1-13. Print.
Nolan, John P. and Jason R. Kolodziej. "Modeling of an Automotive Fuel Cell Thermal System." Journal of Power Sources 195. (2010): 4743-4752. Print.
Kolodziej, J.R. and D.J. Mook. "Model Determination for Nonlinear State-based System Identification." Nonlinear Dynamics 63. 4 (2011): 735-753. Print.

Currently Teaching

MECE-404
3 Credits
An applied course in the fundamentals and applications of autonomous robots. Emphasis is placed on the use of microcontrollers to construct mobile robots. Topics include microcontroller programming, robot fundamentals, DC servo and stepper motors, encoders, sensors, programming, gripper design, and safety. A major emphasis is placed in a design project involving the design, build, and test of a mobile robot for an application.
MECE-543
3 Credits
This course introduces students to the study of linear control system behavior for design and use in augmenting system performance. This is accomplished through classical control methods using Laplace transforms, block diagrams, root locus, and frequency domain analysis. Topics include: Laplace transform review, system modeling for control, fundamentals of time response behavior, stability analysis, steady-state error and design, feedback control properties, PID control, root locus analysis and design, and frequency response design. A laboratory will provide students with hands-on analysis and design-build-test experience.
MECE-643
3 Credits
This course introduces students to the study of linear control systems, their behavior and their design and use in augmenting engineering system performance. Topics include control system behavior characterization in time and frequency domains, stability, error and design. This is accomplished through classical feedback control methods that employ the use of Laplace transforms, block diagrams, root locus, and Bode diagrams. An integrated laboratory will provide students with significant hands-on analysis and design-build-test experience.
MECE-115
1 Credits
This hands-on laboratory course introduces students to Radio Control model airplane construction. Students learn how to construct their own airplanes from balsa and birch ply, how to install control hardware, and how cover these airplanes using heat-shrink covering materials. Students are required to purchase a kit-of-parts to cover material costs, which will allow them to keep their constructed airframe at the end of the course. Radio control hardware will be provided to students for use during the course, and students will have the option to purchase their own RC hardware to turn their airframe into a fully functional RC model airplane.
MECE-606
3 Credits
This course is designed to introduce the student to advanced systems modeling techniques and response characterization. Mechanical, electrical, fluid, and mixed type systems will be considered. Energy-based modeling methods such as Lagrange’s methods will be used extensively for developing systems models. System performance will be assessed through numerical solution using MATLAB/Simulink. Computer projects using Matlab/Simulink will be assigned and graded in this course including concepts of data analysis and how it performs to parameter estimation. Linearization of nonlinear system models and verification methods are also discussed.

In the News

  • October 24, 2018

    Two students and two faculty members working on this project pose for a photo in front of their lab bench, which is covered in different tools and models.

    Researchers improve upon stethoscope design

    Researchers at RIT and URMC developed a new digital stethoscope that combines precision sensors, electrocardiogram technology and machine learning applications into one piece of equipment to better detect heart ailments and problems that might occur with an implanted heart pump.