UTP Scholars: Dr. Muhammad Shahid


Office Address
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:+6053687645
Email: muhammad.shahid@utp.edu.my
Scopus
Author ID
Document Count
3
Total Citations
55
h-Index
3
Co-authors
4
Google Scholar Citations
Author Profile URL
Citations
59
h-Index
3
Research Gate
Author Profile URL
Publications
5
Citations
55
Reads
83
Note: Updated as of Quarter 3, 2026

Research Project:
  • Development of an Advisory Monitoring and Diagnostic Tool for Soft Sensor Degradation
  • Energy, Exergy, Economic & Enviro-Economic (4E) of CO2 Capture from Natural Gas Using Hybrid Physical & Chemical Solvent. A Simulation Study

Membership:
  • Graduate Engineer: Board of Engineers Malaysia
  • Registered Engineer: Pakistan Engineering Council

Working Experience:
  • Lecturer, Universiti Teknologi PETRONAS (2026-Current)
  • Teachnig Assistant, Universiti Teknologi PETRONAS (2022-2025)

Course Teaching:
  • Chemical Process Control
  • Chemical Engineering Thermodynamics

Research Grant Evaluation:
  • N/A
Title:
Lecturer

Department:

Specialization:
  • Digital Twin
  • Fault Detection and Diagnosis,
  • Hybrid Model Predictive Control
  • Process Control & Dynamic
  • Process Systems Engineering
  • Process Modelling & Simulation
  • Sustainable Process Design & Assessment

Qualifications:
  • 2025, PhD in Chemical Engineering by Universiti Teknologi PETRONAS
  • 2018, Master in Chemical Engineering by NED University of Engineering and Technology Karachi
  • 2003, Degree in Chemical Engineering by University of Karachi

Other Information:

Short Biography:

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.




Number of items: 3.

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

This list was generated on Mon Jul 27 20:32:21 2026 +08.