JOURNALS
Salehi, Z., Salahi, A., Fakouri Hasanabadi, M., Hanifi, A., Smith, D. J., Koch, C. R., Shahbakhti, M.,"State-of-health forecasting of solid oxide fuel cells using physics-informed temporal graph convolutional network", Journal of Power Sources, 2026
Salehi, Z., Tofigh, M., Kharazmi, A., Smith, D. J., Hanifi, A., Koch, C. R., Shahbakhti, M.,"Transfer learning-based deep neural network model for performance prediction of hydrogen-fueled solid oxide fuel cells", International Jourrnal of Hydrogen Energy, 2025
Tofigh, M., Salehi, Z., Kharazmi, A., Smith, D. J., Hanifi, A., Koch, C. R., Shahbakhti, M.,"Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm", Journal of Power Sources, 2024
CONFERENCES
Salehi, Z., Tofigh, M., Vafaeenezhad, S., Kharazmi, A., Smith, D. J., Koch, C. R., Shahbakhti, M.,"Performance Prediction of a Range of Diverse Solid Oxide Fuel Cells using Deep Learning and Principal Component Analysis", IFAC Modeling, Estimation, and Control Conference (MECC), Chicago, IL, USA, 2024
Tofigh, M., Salehi, Z., Smith, D. J., Kharazmi, A., Hanifi, A., Koch, C. R., Shahbakhti, M.,"Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network ", American Control Conference (ACC), Toronto, ON, Canada, 2024
Salehi, Z., Azadi, S., and Mousavinia, A., "Sliding Mode Air-to-Fuel Ratio Control of Spark Ignition Engines in Comprehensive Powertrain System", IEEE, 7th International Conference on Control, Instrumentation, and Automation (ICCIA), Tabriz, Iran, 2021Â