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Muhammad Asfandyar Shahid

Observed name: Shahid, Muhammad Asfandyar
ORCID: 0009-0008-6251-7490
Observed ORCID: 0009-0008-6251-7490
OpenAlex ID: A5003158294
A Hybrid Spatio-Temporal Graph Attention (ST D-GAT Framework) for Imputing Missing SBAS-InSAR Deformation Values to Strengthen Landslide Monitoring
2025 · Hilal Ahmad, Yinghua Zhang, et al. · Remote Sensing · 13
A novel quality-related generative data-driven fault diagnosis method for complex industrial processes with incomplete data
2025 · Muhammad Asfandyar Shahid, Xueyi Zhang, et al. · Measurement Science and Technology · 10
A novel deep multi‐task learning model for spatial–temporal fault detection and diagnosis in industrial systems
2025 · Muhammad Asfandyar Shahid, Xueyi Zhang, et al. · The Canadian Journal of Chemical Engineering · 8
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A cloud–edge collaborative hierarchical diagnosis framework for key performance indicator-related faults in manufacturing industries
2025 · Xueyi Zhang, Liang Ma, et al. · Journal of Process Control · 6
A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis
2026 · Babar Hayat, Shabeer Ahmad, et al. · PLoS ONE · 5
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Wavelet‐guided dual‐graph transformer for low‐frequency oscillation detection and root cause localization in industrial processes
2026 · Muhammad Asfandyar Shahid, Xin Qin, et al. · The Canadian Journal of Chemical Engineering
A Drift-Adaptive Spatio-Temporal GAT and Masked Transformer Framework for Industrial Fault Diagnosis and Quality Prediction
2025 · Muhammad Asfandyar Shahid, Xueyi Zhang, et al. · China Automation Congress (CAC)
Author response for "A novel deep multi-task learning model for spatial-temporal fault detection and diagnosis in industrial systems"
2025 · Shahid, Muhammad Asfandyar, Zhang, Xueyi, et al. · Publons reviews and discussion
Works count: 8
Citation count: 42
H-index: 5
I10-index: 2
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