Publications, Activities, and Awards

  • A control oriented diesel engine NOx emission model for on board diagnostics and engine control with sensor feedback
  • A dynamic diesel engine emissions and performance model using machine learning
  • A Variable-Potential Amperometric Hydrocarbon Sensor
  • Adaptive machine learning of HCCI CO emission with Extreme Learning Machine (ELM)
  • Amperometric solid electrolyte {NOx} sensors - The effect of temperature and diffusion mechanisms
  • An electrochemical model of an amperometric NOx sensor
  • Axial insulation rings - testing and simulation of pressure drop and temperature transients in engine exhaust catalysts
  • Combustion Institute Canadian Section (CICS) 2017
  • Combustion Institute Canadian Section (CICS) 2018
  • Combustion Institute Canadian Section (CICS) 2019
  • Diesel Engine NOx Reduction Using a PD-type Fuzzy Iterative Learning Control with a Fast Response NOx Sensor
  • Government of Alberta Graduate Citizenship Award
  • Industry Mixer Lightning Posters
  • Investigating the effect of temperature on NOx sensor cross sensitivity to ammonia using a physics based model
  • J Gordin Kaplan Graduate Student Award
  • Machine learning-based diesel engine-out NOx reduction using a plug-in PD-type iterative learning control
  • Phenomenological model of a solid electrolyte NOx and O2 sensor using temperature perturbation for on-board diagnostics
  • Production engine emission sensor modeling for in-use measurement and on-board diagnostics
  • Production engine emission sensor modeling for in-use measurement and on-board diagnostics
  • Real-time electrochemical emission sensor for capturing transients in homogeneous charge compression ignition combustion
  • Support vector machine based steady state emissions modeling for HCCI
  • Support vector machine for a diesel engine performance and NOx emission control-oriented model
  • Symposium for Combustion Control (SCC) 2019
  • The Effect of Operating Parameters of an Amperometric NOx-O2 Sensor on the Sensor Response