introduction/brief CV
Dr. Shafiq Ahmad is a Professor of Industrial Engineering at King Saud University and an internationally respected expert in quality engineering, process capability, and operational optimization. With more than three decades of experience across Australia, Germany, Thailand, Pakistan, and Saudi Arabia, he blends rigorous statistical modeling and machine learning with hands‑on industrial practice from roles at Deutsche Aerospace (DASA) and Seagate Technology. A PhD from RMIT University and advanced degrees from AIT and TU Hamburg underpin a prolific research record—over 180 refereed articles, a research book, and sustained placement among the top 2% most‑cited scientists worldwide (2023–2025). A certified Six Sigma consultant (DMAIC, IDOV), he leads applied research, consultancy projects, and advanced graduate supervision that translate analytics into measurable operational gains.
Dr. Ahmad's research profile links:
Web of Science: https://www.webofscience.com/wos/author/record/829340
Google Scholar: https://scholar.google.com/citations?hl=en&user=A4rfwboAAAAJ
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57209916514
ResearchGate: https://www.researchgate.net/profile/Shafiq-Ahmad-25
ORCID ID: https://orcid.org/0000-0003-0712-9133
publications
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courses
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Introduction to quality management methodologies, total quality management (TQM), the Six Sigma (DMAIC) problem solving methodology, Kaizen methodology, 5S methodology, failure mode and effects…
The course will allow PhD students to apply advance level statistical process control (SPC) techniques to monitor univariate and multivariate quality characteristics for industrial and engineering…
This course familiarizes students with a holistic view of the fundamentals of experimental designs, analysis tools, and techniques, interpretation, and applications of experimental design…