Dr. Badreddin's main research area is in Model Driven software Development, and Model Driven Systems Engineering. His research involves development of novel modeling and design approaches, notations, and tools.

• STEM Accelerator Award - UTEP (09/01/2017-09/30/2017)

• Healthcare Informatics, University of Ottawa (2013)
• Ph D in Computer Science, University of Ottawa (2012)
• MS in Computer Science, American University (2007)
• BS in Computer Science, University of Massachusetts (2002)

• Theoretical Explanation of Recent Empirically Successful Code Quality Metrics Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Vladik Y. Kreinovich, Omar A. Masmali, Hoang P. Nguyen, Omar B. Badreddin.

• Navigator to Producer: Data Science as an Access Point for Equitable Pre-College Computer Science Education (2023), Volume Chicago, IL, Alan Barrera, Michael Johnson, Amanda Barany, Sayed Reza, Omar B. Badreddin, Justice T. Walker.
• Social and Cultural Relevance: A Design Principle for Data Science-based Computer Science Education (2023), Volume Chicago, IL, Sayed Reza, Alan Barrera, Michael Johnson, Amanda Barany, Omar B. Badreddin, Justice T. Walker.
• Social Media Discourse Instruments as Tools Socioscientific Argumentation (2023), Volume Chicago, IL, Justice T. Walker, Amanda Barany, Alan Barrera, Stefan Slater, Omar B. Badreddin, Sayed Reza, Michael Johnson.
• Coding Like a Data Miner: A Culturally Relevant Data Analytics Intervention for High School Students (2022), Volume El Paso, Texas, Sayed Reza, Alan Barrera, Amanda Barany, Omar B. Badreddin, Michael Johnson, Justice T. Walker.
• Sandbox Science: Equity Approaches to Open-Ended Data and Computer Science Curricular Design (2022), Volume El Paso, Texas, Alan Barrera, Sayed Reza, Amanda Barany, Omar B. Badreddin, Michael Johnson, Justice T. Walker.

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