Mohamadali Tofigh

According to our database, Mohamadali Tofigh authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A parallel Seq2Seq neural architecture for long-horizon performance forecasting and online condition monitoring of fuel cells.

Mohamadali Tofigh, Daniel J. Smith, Amir R. Hanifi, Mahdi Shahbakhti

Appl. Soft Comput., 2026

Dual-stream transformer autoencoding with contrastive k-means and spectral learning for explainable unsupervised driving-behavior clustering.

Amirreza Yasami, Mohamadali Tofigh, Mahdi Shahbakhti, Charles Robert Koch

Adv. Eng. Informatics, 2026

Dynamic Kolmogorov-Arnold networks for time-varying degradation modeling in solid oxide fuel cells.

Mohamadali Tofigh, Daniel J. Smith, Amir R. Hanifi, Charles Robert Koch, Mahdi Shahbakhti

Adv. Eng. Informatics, 2026

2025

SOFC Ni-redox degradation data.

Mohamadali Tofigh, Mahdi Shahbakhti

Dataset, June, 2025

A deep Conv-Atten-KAN architecture to identify solid oxide fuel cell dynamics under fuel starvation.

Mohamadali Tofigh, Daniel J. Smith, Saeed Hanifi, Amir R. Hanifi, Mahdi Shahbakhti

Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

2024

Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance.

Mohamadali Tofigh, Ali Kharazmi, Daniel J. Smith, Charles Robert Koch, Mahdi Shahbakhti

Eng. Appl. Artif. Intell., 2024

Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network.

Mohamadali Tofigh, Z. Salehi, Daniel J. Smith, Ali Kharazmi, Amir R. Hanifi, Charles Robert Koch, Mahdi Shahbakhti

Proceedings of the American Control Conference, 2024