Skip to main content
User Image

Prof. Shafiq Ahmad أ. د. شفيق احمد

Professor

Professor

كلية الهندسة
Industrial Engineering Department College of Engineering Office: 2A120 Phone: +966114676831

introduction/brief CV

Dr. Shafiq Ahmad received his Ph.D. from RMIT University, Melbourne, Australia, his Master's degree from Asian Institute of Technology, Bangkok, Thailand & Technical University Hamburg, Germany under an exchange program, and his Bachelor's degree in Mechanical Engineering from UET Lahore, Pakistan. Dr. Ahmad has over thirty years of proven track record of work experience both in industry and academia. He has research experience in R & D Centre and process automation with Deutsche Aerospace AG (DASA) in Hamburg, Germany, and Seagate Technology Bangkok, Thailand. He obtained several distinguished performance awards. Dr. Ahmad is a certified Six Sigma consultant specializing in the DMAIC model. Before joining King Saud University (KSU), Dr. Ahmad was a faculty at Al-Yamamah University where he achieved the “Best Performance Award”. Dr. Ahmad is currently a Professor in the IE Department, College of Engineering, KSU. Dr. Ahmad has an excellent research profile and obtained an Excellent Researcher Award in Scientific Research from the College in 2019. He has published a research book, a book chapter, and more than 150 refereed scientific research articles and is ranked among 2 % of top-cited scientists in 2023 & 2024

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
see all

courses
see all

course

Introduction to quality management methodologies, total quality management (TQM), the Six Sigma (DMAIC) problem solving methodology, Kaizen methodology, 5S methodology, failure mode and effects…

course

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…

course

This course familiarizes students with a holistic view of the fundamentals of experimental designs, analysis tools, and techniques, interpretation, and applications of experimental design…