Dr. Muhammad Imran
About
Dr. Muhammad Imran is currently serving as an Assistant Professor of Industrial Engineering in the Mechanical and Industrial Engineering department at RIT Dubai. He earned his PhD in manufacturing engineering from Loughborough University in the UK.
Dr. Imran's doctoral research focused mainly on semantic data modeling and interoperability in manufacturing systems. Dr. Imran also completed his master's degree in advanced manufacturing engineering and management from the same university, with his major project focusing on knowledge-based tools. Before joining RIT Dubai, he had more than 10 years of experience working in the higher education sector.
Dr. Imran has experience working on various committees in different roles and has taught a range of courses at both the undergraduate and graduate levels. He has also been involved in curriculum development and program evaluation to meet the requirements of various accreditation bodies. Currently, Dr. Imran is engaged in teaching undergraduate and graduate courses at RIT Dubai.
- PhD, Manufacturing Engineering, Loughborough University, UK (2014)
- MSc, Advanced Manufacturing Engineering & Management, Loughborough University, UK (2010)
- BSc, Industrial & Manufacturing Engineering, University of Engineering & Technology Lahore, Pakistan (2004)
- Semantic Data Modeling and Ontologies
- Digital Twins
- Product Lifecycle Management
- Imran, M., Elaskari, S., & Albalawi, A. (2021). Comparative lifecycle assessment (LCA) of paper and computer-based exams, international journal of thermal and environmental engineering, 18(2), 71-77
- Elaskari, S., Imran, M., Elaskari, A., & Almasoudi, A. (2021). Using barcode to track student attendance and assets in higher education institutions, The 12th International Conference on Ambient Systems, Networks and Technologies, Warsaw, Poland
- Imran, M., & Young, B. (2016). Reference ontologies for interoperability across multiple assembly systems. International Journal of Production Research. 54(18), 5381-5403
- Imran, M., & Young, B. (2015). The application of common logic-based formal ontologies to assembly knowledge sharing. Journal of Intelligent Manufacturing, 26 (1), 139-158
- Young, R, Hastilow, N, Imran, M, Chungoora, N, Usman, Z, Cutting-Decelle, A-F (2013). Reference Ontologies for Manufacturing. In, Enterprise Interoperability: Research And Applications In The Service-Oriented Ecosystem, pp.143-152, ISBN: 978-1-84821-662-4
- Imran, M., Young, B., &Usman, Z. (2012). Formal assembly reference ontology for assembly systems compatibility assessment. Proceedings of the 10th International Conference on Manufacturing Research ICMR 2012. Birmingham
-
Lean Six Sigma Black Belt Training & Certification Program: a program offered by JuranX, in collaboration with edX (2023)
-
Digital Twins, an online non-credit course authorized by University of Michigan and offered through Coursera (2022)
-
Engineering Design for a Circular Economy, a study course offered by DelftX, an online learning initiative of Delft University of Technology, at edx.org (2022)
-
Industry 4.0: How to Revolutionize your Business, a study course offered by HKPolyUx, an online learning initiative of The Hong Kong Polytechnic University., at edx.org (2021)
-
Hazard Recognition and Risk Assessment, online at alison.com, (2021)
-
Effective Assessment of Student Professional Outcomes, University of Tabuk, Saudi Arabia (2020)
-
Blackboard Training Workshop, University of Tabuk, Saudi Arabia (2020)
-
The Program Assessment Workshop: How to Ensure You Have Stable Foundation For Pursuing ABET Accreditation, Tabuk, Saudi Arabia (2016)
-
Teaching Skills for Postgraduates and RAs with Supervising Practical Activities Loughborough University UK (2011)
-
Bullying and Harassment, Loughborough University UK (2011)