Dr. Muhammad Shahid is a Chemical Engineer and academic with over eight years of teaching and research experience in process control, process modeling and simulation, machine learning, soft sensor development, and fault detection and diagnosis. He recently completed his PhD in Chemical Engineering at Universiti Teknologi PETRONAS (UTP) where his research focused on developing intelligent monitoring and diagnostic tools for soft sensor degradation.
Shahid, Muhammad and Zabiri, Haslinda and Taqvi, Syed Ali Ammar (2025) An embedded KPI-based advisory framework for monitoring and diagnosis of soft sensor degradation. Results in Engineering, 27. ISSN 25901230
Shahid, Muhammad and Zabiri, Haslinda and Taqvi, Syed Ali Ammar and Hai, Mansoor (2024) Fault root cause analysis using degree of change and mean variable threshold limit in non-linear dynamic distillation column. Process Safety and Environmental Protection, 189. 856 - 866. ISSN 09575820
Hasnen, Saidatul Hasniza and Shahid, Muhammad and Zabiri, H. and Taqvi, Syed Ali Ammar (2023) Semi-supervised adaptive PLS soft-sensor with PCA-based drift correction method for online valuation of NOx emission in industrial water-tube boiler. Process Safety and Environmental Protection, 172. 787 - 801. ISSN 09575820