Abdallah Jarray, PhD
About Abdallah Jarray, PhD
Abdallah Jarray, PhD, is a Senior Operations Research Scientist at Datamine Software and an Adjunct Professor at Université d'Ottawa. He specializes in machine-learning-driven network analytics, focusing on Cloud/Fog Computing, Mobile Edge Computing, and advanced topics such as the Internet of Things and 5G.
Work at Datamine Software
Abdallah Jarray serves as a Senior Operations Research Scientist at Datamine Software, a position he has held since 2014. In this role, he specializes in developing mine planning solutions utilizing Mixed Integer Linear Programming and large-scale optimization techniques. His work focuses on integrating advanced analytics into mining operations, enhancing efficiency and decision-making processes.
Education and Expertise
Abdallah Jarray holds a Doctor of Philosophy (PhD) in Computer Sciences from Université de Montréal, which he completed from 2005 to 2010. He also earned a Master's degree in Computer Sciences from the same institution between 2003 and 2005. Additionally, he obtained an Engineer degree in Information Systems from École Nationale des Sciences de l'Informatique from 1992 to 1997. His educational background supports his expertise in machine-learning-driven network analytics and advanced computing topics.
Background
Abdallah Jarray has a diverse professional background in academia and industry. He worked as a Lab Instructor at Université de Montréal from 2005 to 2010 and later as a Postdoctoral Research Fellow at École de Technologie Supérieure from 2010 to 2011. He also held a position as Operations Research Engineer at CAE Inc. from 2013 to 2014 and served as a Postdoctoral Research Fellow at the University of Ottawa from 2011 to 2013. Since 2014, he has been an Adjunct Professor at Université d'Ottawa.
Research Focus
Abdallah Jarray's research interests encompass several advanced topics, including Cloud/Fog Computing, Mobile Edge Computing, the Internet of Things, 5G technology, and Software-Defined Networking. He is actively engaged in projects related to Network Function Virtualization and Network Resilience, contributing to the development of innovative solutions in network analytics and optimization.