Omar Badreldin

Associate Teaching Professor and Associate Director,  Multidisciplinary Graduate Engineering Programs

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Research Focus

predicting software evolution using a variety of approaches, including software quality predictive analysis, with the goal of enhancing upfront software designs, and enabling effective continuous design refactoring

About

Dr. Omar Badreldin received his PhD from University of Ottawa, Canada in 2012 under the supervision of Dr. Timothy Lethbridge. Before joining Northeastern, Dr. Badreldin has been a faculty member at University of Texas and Northern Arizona University. He conducts research in AI-Enabled Software Reengineering, Machine Learning, and Data-Intensive Systems. He has around 100 refereed publications in top journals and conferences in his field. His research has been funded by the National Science Foundation in the U.S, as well as by several industry collaborators in both the U.S and Canada. He also conducts applied research in Healthcare Informatics and Smart Cities domains. At Northeastern, Dr. Badreldin teaches courses in the Computer Systems Engineering and the Masters of Information Systems programs, and serves as an Associate Director.

Education

  • PhD, Computer Science, Software Engineering, University of Ottawa, 2012
  • M.Sc., Computer Science, Software Engineering, American University in Cairo, 2007
  • B.Eng. and B.A, Computer Engineering and Economics (Double Major), American University in Cairo/University of Massachusetts, 2001

Research Overview

predicting software evolution using a variety of approaches, including software quality predictive analysis, with the goal of enhancing upfront software designs, and enabling effective continuous design refactoring

Selected Publications

  • Moshin Reza S., Mahfujur Rahman M., Parvez H., Badreddin O., Al Mamun S. Performance Analysis of Machine Learning Approaches in Software Complexity Prediction. In: Kaiser M.S., Bandyopadhyay A., Mahmud M., Ray K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, 2021.
  • Rahad Khandoker, Omar Badreddin, and Reza Sayed. “The Human in MDE Loop: A Case Study on Integrating Handwritten Code in Model-Driven Engineering Repositories”. To Appear in the Journal of Software: Practice and Experience, 2021.
  • Rahad Khandoker, Omar Badreddin, Timothy Lethbridge, Andrew Forward. “The Evolution of Software Design Practices Over a Decade: A Long-Term Study of Practitioners” to Appear in the Journal of Object Technology, 2021.
  • Sayed Mohsin Reza, Omar Badreddin, and Khandoker Rahad. ModelMine: A tool to facilitate mining models from open source repositories. In 2020 ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS). ACM, 2020.

MS

Nov 14, 2023

Students Partner with Walmart Canada to Implement AI Solutions

Students at Northeastern Toronto, including MS information systems students, participated in a hackathon with Walmart Canada to use AI to develop tools to help the retailer determine what products to stock and sell amid space constraints. Winning teams were accepted into a four-week incubator program to refine and implement their ideas.

Omar Badreldin

Faculty

Nov 09, 2022

New Faculty Spotlight: Omar Badreldin

Omar Badreldin joined the MGEN department in August 2022 as an Associate Teaching Professor and Associate Director of the Information Systems Program in Toronto.

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