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
Select Scholarship
Published Conference Proceedings
Chenes, Jacob, Jason Kolodziej, and Danel Nelson. "A Statistical Classification Approach to Valve Condition Monitoring Using Pressure Features." Proceedings of the ANNUAL CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2022 - November 1-4, 2022 Nashville, TN. Ed. PHM Society. Nashville, TN: n.p., Web.
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-115
Model Aircraft Fabrication Laboratory
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-543
Classical Controls
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-606
Systems Modeling
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.
MECE-643
Classical Controls
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-743
Digital Controls
3 Credits
This course builds on the fundamentals of continuous feedback control to introduce the student to computer (digital) regulation of systems in closed-loop. Discrete-time modeling and stability of signals and systems are discussed. Analog and digital control schemes are compared using s domain to z-domain conversion, and time-domain response characterization. Closed-loop system design objective specification and evaluation is conducted through numerical simulation and experimental observation. Various discrete-time controller designs are implemented and evaluated using Matlab/Simulink. A series of experimental exercises included using concepts throughout the course on an embedded controller.
In the News
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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.
