Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN. - Maryam Ahang; Masoud Jalayer; Ardeshir Shojaeinasab; Oluwaseyi Ogunfowora; Todd Charter; Homayoun Najjaran (Sensors, 2022)

Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations. - Assef Ghamisi; Todd Charter; Li Ji; Maxime Rivard; Gil Lund; Homayoun Najjaran (CoRR, 2023)

Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework. - Maryam Ahang; Mostafa Abbasi; Todd Charter; Homayoun Najjaran (CASE, 2024)

Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach. - Yehor Karpichev; Todd Charter; Jayden Hong; Amir M. Soufi Enayati; Homayoun Honari; Mehran Ghafarian Tamizi; Homayoun Najjaran (RO-MAN, 2024)

Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies. - Maryam Ahang; Todd Charter; Oluwaseyi Ogunfowora; Maziyar Khadivi; Mostafa Abbasi; Homayoun Najjaran (CoRR, 2024)

A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling. - Maziyar Khadivi; Mostafa Abbasi; Todd Charter; Homayoun Najjaran (CoRR, 2024)

Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach. - Yehor Karpichev; Todd Charter; Homayoun Najjaran (CoRR, 2024)

Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions. - Maziyar Khadivi; Todd Charter; Marjan Yaghoubi; Masoud Jalayer; Maryam Ahang; Ardeshir Shojaeinasab; Homayoun Najjaran (Comput. Ind. Eng., 2025)

From Flight to Insight: Semantic 3D Reconstruction for Aerial Inspection via Gaussian Splatting and Language-Guided Segmentation. - Mahmoud Chick Zaouali; Todd Charter; Homayoun Najjaran (CoRR, 2025)