Publications
Publications
My research publications focus on machine learning–based control, data-driven modeling, and experimental validation for hydrogen-assisted energy systems, as well as prior work in deep learning applications.
Peer-Reviewed Journal Papers
H. Mehnatkesh, D. Gordon, and C. R. Koch
Dynamic Emission Analysis of a Hydrogen/Diesel Dual-Fuel Engine Using Clustering Method
International Journal of Hydrogen Energy, June 2025.
DOI · PDF
Dynamic Emission Analysis of a Hydrogen/Diesel Dual-Fuel Engine Using Clustering Method
International Journal of Hydrogen Energy, June 2025.
DOI · PDF
H. Mehnatkesh, A. Winkler, E. Sperling, J. Kheyrollahi, M. Shahbakhti, D. Gordon, and C. R. Koch
Systematic Framework for Deep Learning-Based Predictive Injection Control with Bayesian Hyperparameter Optimization for a Hydrogen/Diesel Dual-Fuel Engine
Control Engineering Practice, November 2025.
DOI · PDF
Systematic Framework for Deep Learning-Based Predictive Injection Control with Bayesian Hyperparameter Optimization for a Hydrogen/Diesel Dual-Fuel Engine
Control Engineering Practice, November 2025.
DOI · PDF
H. Mehnatkesh, S. M. J. Jalali, A. Khosravi, and S. Nahavandi
An Intelligent Driven Deep Residual Learning Framework for Brain Tumor Classification Using MRI Images
Expert Systems with Applications, March 2023.
DOI · PDF
An Intelligent Driven Deep Residual Learning Framework for Brain Tumor Classification Using MRI Images
Expert Systems with Applications, March 2023.
DOI · PDF
H. Mehnatkesh, A. Alasty, M. Boroushaki, M. H. Khodsiani, M. R. Hasheminasab, and M. J. Kermani
Estimation of Water Coverage Ratio in Low-Temperature PEM Fuel Cell Using Deep Neural Network
IEEE Sensors Journal, May 2020.
DOI · PDF
Estimation of Water Coverage Ratio in Low-Temperature PEM Fuel Cell Using Deep Neural Network
IEEE Sensors Journal, May 2020.
DOI · PDF
Peer-Reviewed Conference Papers
H. Mehnatkesh, D. Gordon, and C. R. Koch
Temporal Kolmogorov–Arnold Networks for Control-Oriented Modeling of Hydrogen/Diesel Dual-Fuel Engines
Canadian Society for Mechanical Engineering (CSME), Montréal, QC, May 2025.
DOI · PDF
Temporal Kolmogorov–Arnold Networks for Control-Oriented Modeling of Hydrogen/Diesel Dual-Fuel Engines
Canadian Society for Mechanical Engineering (CSME), Montréal, QC, May 2025.
DOI · PDF
H. Mehnatkesh, D. Gordon, and C. R. Koch
Physics-Informed Neural Networks for In-Cylinder Pressure Prediction in Hydrogen/Diesel Dual-Fuel Engines
11th IFAC International Symposium on Advances in Automotive Control (AAC), Eindhoven, Netherlands, June 2025.
DOI · PDF
Physics-Informed Neural Networks for In-Cylinder Pressure Prediction in Hydrogen/Diesel Dual-Fuel Engines
11th IFAC International Symposium on Advances in Automotive Control (AAC), Eindhoven, Netherlands, June 2025.
DOI · PDF
H. Mehnatkesh and A. Nahvi
Parallel Park Training Using Haptic Assist Torque in Driving Simulator (in Persian)
ISME27 Conference, April 2019.
Link · PDF
Parallel Park Training Using Haptic Assist Torque in Driving Simulator (in Persian)
ISME27 Conference, April 2019.
Link · PDF