Mohsen Saffari, Ph.D.

Assistant Professor of Computer Engineering

Introduction

Mohsen Saffari joined the Electrical and Computer Engineering department at PNW in Fall 2024, and he is the PI for PNW-MINDs Lab. His teaching and research focus on trustworthy and multimodal neural networks and reinforcement learning.

Research Overview

Mohsen Saffari’s research focuses on the theory and application of machine learning and deep neural architectures for analyzing spatiotemporal data in power systems and computer vision.

Select Publications

• Saffari, M. Khodayar, M. E. Khodayar and S. S. Fazlhashemi, “Deep Graph Convolutional Autoencoder With Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location,” in IEEE Transactions on Artificial Intelligence, vol. 6, no. 9, pp. 2448-2463, Sept. 2025, doi: 10.1109/TAI.2025.3547878.
• Saffari, Y. P. Singh and M. Khodayar, “Sparse and Contractive Graph-Based Variational Encoder-Decoder with Multihead Attention for Robust Spatiotemporal Activity Recognition,” 2025 IEEE International Conference on Electro Information Technology (eIT), Valparaiso, IN, USA, 2025, pp. 109-114, doi: 10.1109/eIT64391.2025.11103603.
• Saffari and M. Khodayar, “Spatiotemporal Deep Learning for Power System Applications: A Survey,” in IEEE Access, vol. 12, pp. 93623-93657, 2024, doi: 10.1109/ACCESS.2024.3424854.
• Saffari, M. Khodayar and M. E. Khodayar, “Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow,” in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 5, pp. 3382-3395, Oct. 2024, doi: 10.1109/TETCI.2024.3377671.

View Moshen Saffari’s Google Scholar Profile

Teaching Focus

With a strong foundation in artificial intelligence and machine learning, Dr. Mohsen Saffari’s teaching focuses on machine learning, the theory and applications of artificial neural networks, deep learning, and software engineering.

Why I Became an Engineer

Engineers play a vital role in shaping every aspect of human life. The ability to think critically, innovate, and solve complex problems through creative ideas brings a deep sense of fulfillment and joy.