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Prof. Shafiq Ahmad أ. د. شفيق احمد

Professor

Faculty

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

introduction/brief CV

Dr. Shafiq Ahmad received his Ph.D. degree from RMIT University, Melbourne, Australia, master's degree from Asian Institute of Technology, Bangkok, Thailand & Technical University Hamburg, Germany, bachelor's degree in mechanical engineering from UET Lahore, Pakistan. Dr. Ahmad has nearly thirty years work experience both in industry and academia. He has research experience in R & D Centre and process automation with Deutsche Aerospace AG (DASA) Hamburg, Germany and Seagate Technology at Bangkok, Thailand. He obtained several distinguished performance awards. Dr. Ahmad is also a certified professional and consultant in deploying Six Sigma (DMAIC) business improvement model. Before joining King Saud University (KSU), Dr. Ahmad was faculty at Al-Yamamah University, and he has achieved Best performance Award. Currently, Dr. Ahmad is Professor at IE dept. College of Engineering KSU Riyadh, Saudi Arabia. Dr. Ahmad has an excellent research profile and has obtained Excellent Researcher Award in Scientific Research from College of Engineering at KSU in 2019.  He has published a research book, a book chapter and more than 150 refereed scientific research articles. Dr. Ahmad is ranked among 2 % of top-cited scientists (source: October 2023 data-update for "Updated science-wide author databases of standardized citation indicators" - Elsevier BV (digitalcommonsdata.com) 

Dr. Ahmad research profile links:

Web of Science: https://www.webofscience.com/wos/author/record/829340

SCOPUS: https://www.scopus.com/authid/detail.uri?authorId=57209916514

Google Scholar: https://scholar.google.com/citations?user=A4rfwboAAAAJ&hl=en

ORCID ID: https://orcid.org/0000-0003-0712-9133

publications
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courses
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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…