Khalid Elgazzar, Ph.D.

Contact Information


PhD - School of Computing
Queen's University, Canada
(2009 - 2013)

MSc - Computer Engineering
Arab Academy for Science and Technology and Maritime Transport, Egypt
(2005 - 2007)

BSc - Computer Engineering and Communications
Alexandria University, Egypt,
(1990 - 1995)


Khalid Elgazzar, PhD joined the Center of Advanced Computer Studies at the University of Louisiana at Lafayette as an assistant professor in August 2016. Before joining CACS, he was an NSERC postdoctoral fellow at Carnegie Mellon School of Computer Science. He received his PhD in Computer Science in 2013 from the School of Computing at Queen’s University in Canada. Most recently, he joined the staff at the University of Ontario Institute of Technology.

Dr. Elgazzar received the prestigious NSERC PDF award (2015-2017) from the Canadian Government and the 2014 distinguished research award from Queen’s University. He also received several recognition and best paper award at top international venues.  Dr. Elgazzar has more than eight years of industrial experience in software design and developments and more than 10 years of experience in interdisciplinary academic teaching and research.

His research interests span the areas of mobile and ubiquitous computing, context-aware systems, Internet of Things, and elastic networking paradigm. He is interested in unlocking the potential of mobile devices to advance the way users carry out their everyday business. His doctoral thesis investigates reliable service provisioning from mobile devices. He developed frameworks and techniques that render mobile users active data participants, not only consumers using their devices. His frameworks lay the foundation of a whole new collaborative computing paradigm for resource-constrained computing devices. He also introduced a distributed architecture that takes advantage of cloud computing to bridge the gap between limited resources of mobile environments and the growing resource demands of mobile applications. Dr. Elgazzar is currently leading a team to create the next generation of IoT open stack, getting every device onboard to bring the future even closer.


  1. Yehia Elshater, Khalid Elgazzar, Patrick Martin, “ Web Service Discovery for Large Scale IoT Deployments.” IEEE International Journal of Services Computing, Vol. 4, No. 1, 2016.
  2. Sima Soltani, Khalid Elgazzar, Patrick Martin, “QuARAMRecommender: A Platform for Autonomous Cloud Service Selection.” [under review]. ACM Transactions on Autonomous and Adaptive Systems, 2016.
  3. Khalid Elgazzar, Patrick Martin, Hossam S. Hassanein, “Personal Mobile Services.”, Service Oriented Computing and Applications, August 2014.
  4. Khalid Elgazzar, Hossam S. Hassanein, Patrick Martin, “UbiHealth: Cloud-Assisted Ubiquitous Health Monitoring.”, International Journal of E-Health and Medical Communications. pending.
  5. Khalid Elgazzar, Patrick Martin, Hossam S. Hassanein, “Cloud-Assisted Computation Offloading to Support Mobile Services.” IEEE Transactions on Cloud Computing: special issue on Utility and Cloud Computing Technology and Sciencem, August 2014.
  6. Khalid Elgazzar, Hossam S. Hassanein, Patrick Martin, “DaaS: Cloud-based Mobile Web Service Discovery.”, Pervasive and Mobile Computing, Vol. 13, ISSN 1574-1192, pp. 67-84, August 2014.
  7. Khalid Elgazzar, Sharief Oteafy, Walid Ibrahim, Hossam S. Hassanein, “A Resielient P2P Architecture for Mobile Resource Sharing.”, The Computer Journal (Oxford): Special Issue on Ambient and Context-Aware Services for the Future Web, July 2014.
  8. Khalid Elgazzar, Hossam S. Hassanein, Patrick Martin, “Mobile Web Services: State of the Art and Challenges.”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 5, No. 3, March 2014.
  9. Khalid Elgazzar, Ali Ejaz, Hossam S. Hassanein, “AppaaS: Offering Mobile Applications as a Cloud Service.”, Journal of Internet Services and Applications, Vol. 4, No. 17, November 2013.
  10. Yousry El-Gamal, Khalid Elgazzar, Magdy Saeb,  “A Comparative Performance Evaluation Model of Mobile Agent versus Remote Method Invocation for Information Retrieval.”  International Journal of Computer Science and Engineering, Vol. 1,  No. 2,  ISSN 1307-3699, pp. 82-87, 2007.