Dr. Shafiq Ahmad received his Ph.D. degree from RMIT University, Melbourne, Australia, Master degree from Asian Institute of Technology, Bangkok, Thailand & Technical University Hamburg, Germany, Bachelor 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 Associate Professor at IE dept. College of Engineering KSU Riyadh, Saudi Arabia. Dr. Ahmad has an excellent research profile and obtained Excellent Researcher Award in Scientific Research from College of Engineering at KSU in 2019. His research interests includes but not limited to Industrial Internet of Things (IIOT) and smart systems, big data analytics using advance statistical and machine learning techniques, operations research and SCM process modelling & optimization. Dr. Ahmad has published a research book, a book chapter and more than 120 refereed (journals and conferences) articles.

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

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…


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