- MEEM 921
Assistant Professor, Mechanical Engineering–Engineering Mechanics
- PhD, Mechanical Engineering, University of Alberta, Canada
Dr. Shahbakhti joined MTU in August of 2012. Prior to this appointment, he was a post-doctoral scholar for two years in the Mechanical Engineering Department at the University of California, Berkeley. He worked in the automotive industry for 3.5 years on R&D of powertrain management systems for gasoline and natural gas vehicles. Some of his past academic and industrial research experience includes system identification, physical modeling and control of dynamic systems, analysis of combustion engines, utilization of alternative/renewable fuels, vehicular emissions, and hybrid electric vehicles. Shahbakhti is an active member of ASME Dynamic Systems & Control Division (DSCD), serving as the trust area leader and executive member of the Energy Systems (ES) committee and as a member of the Automotive Transportation Systems (ATS) technical committee, chairing and co-organizing sessions in the areas of modeling, fault diagnosis, and control of advanced fuel and combustion systems.
His research focuses on increasing efficiency of energy systems through utilization of advanced control techniques. His current research involves the transportation and building sectors which account for 68% of total consumed energy in the United States. Dr. Shahbakhti's research to optimize efficiency of energy systems centers on developing and incorporating the following research areas: thermo-kinetic physical modeling, model order reduction, grey-box modeling, adaptive parameter estimation, model-based and nonlinear control.
Links of Interest
Areas of Expertise
- Dynamic Systems Modeling and Control
- Powertrain/Vehicle Control
- Internal Combustion Engines
- Alternative/Renewable Fuels
- Vehicular Emissions and Aftertreatment Systems
- Modeling and Control of Energy Systems
- Hybrid Electric Vehicles
- Advanced Combustion Engines
- Energy Control of Buildings in a Smart Grid
- Shahbakhti, Mahdi, Amini, Mohammad Reza, Li, Jimmy, Asami, Satoshi, Hedrick, J. Karl, "Early Model-Based Design and Verification of Automotive Control System Software Implementations," ASME Journal of Dynamic Systems, Measurement and Control, Mar 2015, Vol. 137, No. 2, Paper No. 021006, pp. 1-12, DOI: 10.1115/1.4027845 Read More
- Salehi, Rasiyk, Alasti, Aria, Shahbakhti, Mahdi, Vossoughi, G.R., "Detection and Isolation of Faults in the Exhaust Path of Turbocharged Automotive Engines," International Journal of Automotive Technology, Feb 2015, Vol 16, No.1, pp. 127-138, DOI: 10.1007/s12239-015-0014-5 Read More
- Rezaei, Javad, Shahbakhti, Mahdi, Bahri, Bahri, Aziz, Abdul Aziz, "Performance Prediction of Oxygenate Fueled HCCI Engines using Artificial Neural Networks," Applied Energy, Jan 2015, Vol. 138, pp. 460-473, DOI: 10.1016/j.apenergy.2014.10.088 Read More
- Bidarvatan, Mehran, Shahbakhti, Mahdi, 2014, "Impact of Engine Dynamics on Torque Split Management of a Hybrid Electric Vehicle," ASME 2014 Dynamic Systems and Control Conference, Paper No. DSCC2014-6283, 10 pages, doi:10.1115/DSCC2014-6283, San Antonio, TX, October 22-24, 2014.
- Bidarvatan, M., Shahbakhti, M., 2014, "Integrated HCCI Engine Control Based on a Performance Index," Journal of Engineering for Gas Turbines and Power, Vol. 136(10), Article No. 101601, 9 pages, Paper No: GTP-14-1102, doi:10.1115/1.4027279.
- Bidarvatan, M., Shahbakhti, M., 2014, "Gray-Box Modeling for Performance Control of an HCCI Engine With Blended Fuels," Journal of Engineering for Gas Turbines and Power, Vol. 136(10), Article No. 101510, 7 pages, Paper No: GTP-14-1101, doi: 10.1115/1.4027278.
- Bidarvatan, M., Thakkar, V., Shahbakhti, M., 2014, "Grey-box modeling of HCCI engines," Applied Thermal Engineering, Vol. 70(1), pp. 397-409, doi:10.1016/j.applthermaleng.2014.05.031.
- Salehi, Rasoul, Shahbakhti, Mahdi, Hedrick, J. Karl, 2014, "Real-Time Hybrid Switching Control of Automotive Cold Start Hydrocarbon Emission," Journal of Dynamic Systems, Measurement, and Control, Vol. 134(4), Paper No: DS-12-1361, 10 pages, doi: 10.1115/1.4026534.