Dr. Mohammed Omar
Prof. mohammed omar Dean of Engineering Department Chair Industrial And Systems Engineering

Contact Information
mohammed.omar@ku.ac.ae 02 312 5115

Biography

Dr. Mohammed Omar is a Professor of Industrial and Systems Engineering at Khalifa University since 2012. Prior to joining KU he served as a graduate coordinator, and a founding faculty member of the Clemson University, CUICAR technology park, and the automotive engineering programs.  

Dr. Omar's research interest is in the areas of production systems, eco-material selection and design, and sustainable manufacturing. Additionally, Dr. Omar publishes on Engineering education and the future of work in the digital economy. He currently serves as the Director of the Digital Supply Chain and Operations Management Center, and he did serve as the director of the iSmart research center, and as a founding member of the US DoE GATE center as well.

His research is published in more than 180 journal manuscripts, textbooks, and four US and international patents. His research group graduated 11 PhD dissertations, six are in academic professorial ranks. His research was awarded the SAE Foundation Manufacturing Award, the Murray Stokely Excellence Award, the SME Richard L. Kegg Manufacturing Award, among others. He is currently the editor-in-chief for the Journal of Material Science Research, and an associate editor for the Springer (Nature) Journal of Soft Computing.


Education
  • University of Kentucky
  • University of Jordan

Teaching
  • Advanced Systems Engineering (ISYE432)
  • Financial Engineering (ISYE480)
  • Management and Entrepreneurship for Engineers (CHEM351)

Affiliated Research Institutes/Centers
  • Research Center for Digital Supply Chain and Operations Management

Research
Research Interests
  • Digitized Engineering Operations and Management
  • Future of Work in the Digital Economy

Research Projects

Supply Chain Analytics; aims at researching new methods and tools to integrate and improve-performance of complex

and extended supply chains using predictive analytics and self-optimizing logistics

Digital Operations Management; aims at enabling the transition into paperless, borderless and highly trusted transactionbased

operations, with highly decentralized traceability, governance and access.

The Future of Work in a digital enterprise; this theme addresses the Socio-technical impact of digitalized

transaction and self-optimizing operations on the design of work and human capacity development. This

theme will utilize data mining routines to assess intrinsic and extrinsic job changes coupled with

comprehensive statistical digestion to yield predictions on the future of work and the required educational

and training offerings