Publications

Peer-reviewed journal papers:

• A. Norouzi, H. Heidarifar, A. Borhan, M. Shahbakhti, C.R. Koch, Machine Learning and Model Predictive Control Integration in Automotive Control System: A review and future directions, Engineering Application of Artificial Intelligent,

• A. Norouzi, S. Shahpouri, M. Shahbakhti, and C. R. Koch, Safe Deep Reinforcement Learning in Diesel Engine Emission Control, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering,

• A. Norouzi, D. Gordon, A. Winkler, J. McNally, E. Nuss, J. Andert, M. Shahbakhti, and C. R. Koch, End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control, Energies, 15(24), 9335,

• A. Norouzi, S. Shahpouri, D. Gordon, A. Winkler, E. Nuss, J. Andert, M. Shahbakhti, and C. R. Koch, Deep Learning based Model Predictive Control for Compression Ignition Engines, Control Engineering Practice, October 2022.

• S. Shahpouri, A. Norouzi, C. Hayduk, A. Fandakov, R. Rezaei, M. Shahbakhtia, C. R. Koch, Laminar Flame Speed Modeling for Low Carbon Fuels Using Machine Learning Methods, Fuel, October 2022.

• S. Shahpouri, A.Norouzi, C. Hayduk, R. Rezaei, M. Shahbakhti, and C. R. Koch, Hybrid Machine Learning approaches and a systematic model selection process for predicting soot emissions in compression ignition engines, Energies, 14(23) (2021), 7865.

• D. Gordon, A. Norouzi, G. Blomeyer, J. Bedei, M. Aliramezani, J. Andert, and C.R. Koch, Support Vector Machine Based Emissions Modeling using Particle Swarm Optimization for Homogeneous Charge Compression Ignition Engine, International Journal of Engine Research, (In press- accepted for publication).

• A. Norouzi, H. Heidarifar, A. Borhan, M. Shahbakhti, C.R. Koch, Application of Model Predictive Control for Internal Combustion Engines (ICEs) Control: A review and future directions, Energies, 14(19) (2021): 6251.

• A.Norouzi, M. Aliramezani, C.R. Koch, A correlation based model order reduction approach for a diesel engine NOx and BMEP dynamic model using machine learning, International Journal of Engine Research, 22.8 (2021): 2654-2672.

• M. Aliramezani, A.Norouzi, C.R. Koch, A grey-box machine learning based model of an electrochemical gas sensor, Sensors and Actuators B: Chemical 321 (2020): 128414.

• A.Norouzi, H. Adibi-Asl, R. Kazemi, P. Fathi, Adaptive sliding mode control of a four-wheel-steering autonomous vehicle with uncertainty using parallel orientation and position control, International Journal of Heavy Vehicle Systems (IJHVS),Vol. 27, No. 4, 2020.

• A.Norouzi, A. Barari, H. Adibi-Asl, Stability Control of an Autonomous Vehicle in Overtaking Manoeuvre Using WheelSlip Control, International Journal of Intelligent Transportation Systems Research, 18.2 (2020): 320-330.

• A.Norouzi, R. Kazemi, O. R. Abbasi, Path planning and re-planning of lane change maneuvers in dynamic traffic environments, International Journal of Autonomous Vehicle Systems (IJAVS), 2019 May 17;14(3):239-64.

• A.Norouzi, M. Masoumi, A. Barari, S. F. Sani, Lateral control of an autonomous vehicle using integrated backstepping and sliding mode controller, Proc. IMechE,Part K: Journal of Multi-body Dynamics, 2019 Mar;233(1):141-51.

• A.Norouzi, R. Kazemi, Sh. Azadi, Vehicle lateral control in the presence of uncertainty for lane change maneuver using adaptive sliding mode control with fuzzy boundary layer, Proc. IMechE, Part I: Journal of Systems and Control Engineering, 2018 Jan;232(1):12-28.

• H. Biglari, A.Norouzi, Design and Numerical Analysis of Composite Pressure Vessel based on Unit Load Method, Journal of Mechanical Engineering (University of Tabriz), 2015, page 1-13 (In Persian).

Peer-reviewed conference papers:

• A. Norouzi, S. Shahpouri, D. Gordon, A. Winkler, E. Nuss, J. Andert, M. Shahbakhti, and C. R. Koch, Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines, IFAC 10th Symposium on Advances in Automotive Control (AAC22), August 2022.

• S. Shahpouri, A.Norouzi, C. Hayduk, R. Rezaei, M. Shahbakhti, and C. R. Koch, Soot emission modeling of a compression ignition engine using machine learning, Modeling, Estimation and Control Conference (MECC 2021), University of Texasat Austin, Texas, United States.

• A.Norouzi, D. Gordon, M. Aliramezani, C.R. Koch, Machine Learning-based Diesel Engine-Out NOx Reduction Using a plug-in PD-type Iterative Learning Control, 4th IEEE Conference on Control Technology and Applications (CCTA 2020),Montreal, QB, Canada.

• A.Norouzi, C.R. Koch, Integration of PD-type iterative learning control with adaptive sliding mode control,IFAC WorldCongress 2020, July 12-77, 2020, Berlin, Germany.

• M. Aliramezani, A.Norouzi, C.R. Koch, Support vector machine for a diesel engine performance and NOx emission control-oriented model,IFAC World Congress 2020, July 12-77, 2020, Berlin, Germany.

• A.Norouzi, KH. Ebrahimi, C.R. Koch, Integral Discrete-time Sliding Mode Control of Homogeneous Charge Compression Ignition (HCCI) Engine Load and Combustion Timing, 9thSymposium on Advances in Automotive Control (AAC19), June 23-27, 2019, Orleaon, France.

• M. Aliramezani, A.Norouzi, C.R. Koch, R. E. Hayes, A control oriented diesel engine NOx emission model for on board diagnostics and engine control with sensor feedback, Proceedings of Combustion Institute Canadian Section (CICS), May13-16, 2019, Kelowna, BC, Canada.
• A.Norouzi, M. Aliramezani, C.R. Koch, Diesel Engine NOx Reduction Using a PD-type Fuzzy Iterative Learning Control with a Fast Response NOx Sensor, Proceedings of Combustion Institute Canadian Section (CICS), May 13-16, 2019,Kelowna, BC, Canada.
• A.Norouzi, C.R. Koch, Robotic manipulator control using PD-type fuzzy iterative learning control, 32nd Canadian Conference on Electrical & Computer Engineering (CCECE), May 5-8, 2019, Edmonton, AB, Canada.

Technical presentations & workshops (refereed abstract & oral presentation)

• A.Norouzi, M. Shahbakhti, and C. R. Koch, Machine Learning Control Workshop, Canadian Society for Mechanical Engineering International Congress (CSME), June 5-8, 2022, Edmonton, Canada.
• J. Mcnally, D. Gordon, A.Norouzi, M. Shahbakhti, and C. R. Koch, Experimental Study of Hydrogen Diesel Dual Fuel Engine Characterization, Canadian Society for Mechanical Engineering International Congress (CSME), June 5-8, 2022, Edmonton, Canada.
• A.Norouzi, S. Shahpouri, D. Gordon, A. Winkler, E. Nuss, M. Shahbakhti, and C. R. Koch, Deep Learning and Nonlinear Model Predictive Control Integration for Compression Ignition Engine Emission Reduction, Canadian Society for Mechanical Engineering International Congress (CSME), June 5-8, 2022, Edmonton, Canada.
• A.Norouzi, S. Shahpouri, D. Gordon, M. Shahbakhti, and C. R. Koch, Deep Reinforcement Learning for EmissionControl in Diesel Engines, Canadian Society for Mechanical Engineering International Congress (CSME), June 5-8, 2022, Edmonton, Canada.
• S. Shahpouri, A.Norouzi, C. Hayduk, A. Fandakov, R. Rezaei, M. Shahbakhtia, C. R. Koch, Laminar Flame Speed Modeling of Hydrogen, Methanol, and Ammonia Using Machine Learning of Machine Learning, Canadian Society for Mechanical Engineering International Congress (CSME), June 5-8, 2022, Edmonton, Canada.
• S. Shahpouri, A.Norouzi, C. Hayduk, R. Rezaei, M. Shahbakhtia, C. R. Koch, Machine Learning Modeling of Soot Emissions in a Medium Duty Diesel Engine, Canadian Society for Mechanical Engineering International Congress (CSME), June 5-8, 2022, Edmonton, Canada.
• D. Gordon, J. Mcnally, A.Norouzi, and C. R. Koch, Experimental Investigation of Hydrogen Diesel Dual Fuel Combustion, Aachen Hydrogen Colloquium 2022, May 3-4, 2022, Aachen Germany.
• D. Gordon, A.Norouzi, C.R. Koch, AI-based Advance Control Methods for next generation combustion engines, Autonomous Systems Initiative (ASI) Annual Symposium, June 2, 2021, Edmonton, Canada (Best presentation award).
• A.Norouzi, M. Shahbakhti, C.R. Koch, Machine Learning-Based Diesel Engine-Out Emissions Model and Control Using the Learning-Based Control Technique, WCX SAE World Congress, April 13, 2021, Detroit, USA.

Technical Posters

• D. Gordon, A.Norouzi, C.R. Koch, AI-based Advance Control Methods for next generation combustion engines, 2021 Future Energy Systems Research Symposium, Sept 20, 2021, Edmonton, Canada.
• M. Aliramezani, A.Norouzi, D. Gordon, C.R. Koch, Emission reduction of internal combustion engines with advancedcontrol and machine learning techniques,Future Energy Systems Real World Industry Mixer, Feb 20, 2020. ]
• D. Gordon, A.Norouzi, M. Aliramezani, C.R. Koch, Combustion Control Research –University of Alberta, Canadian Graduate Engineering Consortium, Sept 2019.
• D. Gordon, A.Norouzi, M. Aliramezani, C.R. Koch, Real-time Engine Control Utilizing Emission Measurement withFPGA Controller, 2nd annual Future Energy Systems Open house, Oct 3, 2018.