
Khalid Elgazzar
PhD
Canada Research Chair in the Internet of Things (IoT)
Assistant Professor
Electrical, Computer and Software EngineeringFaculty of Engineering and Applied Science
Revolutionizing the development of advanced wireless technologies to maintain privacy while delivering unprecedented convenience
Areas of expertise
- PhD - Computer Science Queen's University, Kingston, Ontario 2013
- MSc - Computer Engineering Arab Academy for Science and Technology, Egypt 2007
- BSc - Computer and Communication Engineering Alexandria University, Egypt 1995
An Empirical Study of Latency in an Emerging Class of Edge Computing Applications
The Second ACM/IEEE Symposium on Edge Computing (SEC 2017) San Jose/Freemont, California
2017-10-12
QuARAM Service Recommender: A Platform for IaaS Service Selection
The 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) Shanghai, China
2016-12-06
The Case of Face Recognition on Mobile Devices
IEEE Wireless Communications and Networking Conference Doha, Qatar
2016-04-03
Authentication and Access Control in e-Health Systems in the Cloud
The 2nd IEEE International Conference on Big Data Security on Cloud New York City, New York
2016-04-09
SLAM: SLA Monitoring for Federated Cloud Services
The 8th IEEE International Conference on Cloud Computing Limassol, Cyprus
2015-12-07
A Framework for Vehicular Cloud Computing
The 2015 International Conference on Connected Vehicles and Expo Shenzhen, China
2015-10-19
goDiscovery: Web Service Discovery Made Efficient
The 22nd IEEE International Conference on Web Services New York City, New York
2015-06-27
QuARAMRecommender: Case-Based Reasoning for IaaS Service Selection
The International Conference on Cloud and Autonomic Computing (CAC 2014) Imperial College, London, England
2014-09-08
Secure and Efficient Data Placement in Mobile Healthcare Services
The 25th International Conference on Database and Expert (DEXA 2014) Munich, Germany
2014-09-01
Near-Clouds: Bringing Public Clouds to Users’ Doorsteps
The 9th IEEE Symposium on Computers and Communications Madeira, Portugal
2014-06-23
Best Paper Award: Empowering Mobile Service Provisioning Through Cloud Assistance
The 6th IEEE/ACM International Conference on Utility and Cloud Computing Dresden, Germany
2013-12-09
Book Chapter: Operating Secure Mobile Healthcare Services Over Constrained Resource Networks
Published in Emergent Computation January 1, 2017Anne Kayem, Patrick Martin,Khallid Elgazzar,Christoph Meinel
Personal Mobile Services
Published in Service Oriented Computing and Applications September 17, 2014Khalid Elgazzar, Patrick MartinHossam, S. Hassanein
Cloud-Assisted Computation Offloading to Support Mobile Services
Published in IEEE Transactions on Cloud Computing August 22, 2014DaaS: Cloud-based Mobile Web Service Discovery
Published in Pervasive and Mobile Computing August 1, 2014Khalid Elgazzar, Hossam S.Hassanein & PatrickMartin
A Resilient P2P Architecture for Mobile Resource Sharing
Published in The Computer Journal (Oxford) Volume 58, Issue 8, August 2015, Pages 1689–1700, July 4, 2014Khalid Elgazzar, Sharief M. A. Oteafy, Walid M. Ibrahim & Hossam S. Hassanein
View more - A Resilient P2P Architecture for Mobile Resource Sharing
Mobile Web Services: State of the Art and Challenges
Published in International Journal of Advanced Computer Science and Applications March 1, 2014Khalid Elgazzar & Patrick Martin
View more - Mobile Web Services: State of the Art and Challenges
Appaas: Offering Mobile Applications as a Cloud Service
Published in Journal of Internet Services and Applications November 4, 2013Khalid Elgazzar, Ali Ejaz & Hossam S Hassanein
View more - Appaas: Offering Mobile Applications as a Cloud Service
Postdoctoral Research Associate
Carnegie Mellon University May 1, 2015During his one-year postdoctoral research role, Dr. Elgazzar led the effort to create core infrastructure support for an open and integrated IoT stack with innovations at the hardware, software and end-user levels (known as GIoTTO). GIoTTO provides a rich tool set and reconfigurable testbed for developers and researchers to build an IoT ecology system.
Adjunct Assistant Professor
Queen’s University September 1, 2014Dr. Elgazzar is leading a team to develop a general purpose mobile sensing platform that offers sensing as a service on demand for IoT scenarios. The platform provides mechanisms to abstract low-level sensing functionality from both the underlaying infrastructure and application-level demands to enable high flexibility.
Best Paper Award
The 6th IEEE/ACM International Conference on Utility and Cloud Computing December 9, 2013Dr. Elgazzar received this award for his paper entitled: Empowering Mobile Service Provisioning Through Cloud Assistance in the conference held in Dresden, Germany.
Canada Research Chair (CRC) in the Internet of Things (IoT)
CRC Secretariat January 1, 2018Dr. Elgazzar’s five-year CRC research program involves the development of “smart” spaces using embedded sensors to provide personalized services in a variety of environments that will enable people to conduct personal and professional tasks on the go while maintaining data privacy. ($1,221,194)
Building Open and Interoperable Useroriented Internet of Things
Canada Foundation for Innovation January 1, 2018As principal investigator of this five-year research project, Dr. Elgazzar aims to develop a smart city environment by deploying cameras on intersections that will feed real-time video streams into campus systems, in order to analyze and determine whether an event of interest such as a traffic violation or accident is occurring. In collaboration with the City of Oshawa, the infrastructure for this project will be built on UOIT’s campus. ($173,905)
CrisisEye: Smart Video-based Information Sharing Platform for Public Safety
U.S. Ignite November 1, 2017As co-investigator of this one-year research project, Dr. Elgazzar is developing an app for mobile devices and emergency vehicle dash cams that can crowdsource, register and stream public data and video of real-time events into a command centre to be assessed for immediate action by emergency response operators. ($10,000)
Improving Student Learning in Hydrology & Water Resources Engineering by Enabling the Development, Sharing and Interoperability of Active Learning Resources
National Science Foundation September 1, 2017In collaboration with the University of Louisiana at Lafayette, Iowa State University and BYU Iowa University, Dr. Elgazzar is a co-investigator on this four-year research project aimed at developing an online learning platform to enable hydrology students to visualize data and understand prediction models related to rainfall, flooding or weather forecasting.
Dynamic Access Control for IoT Deployments
Louisiana Board of Regents July 1, 2017As the principal investigator of this three-year research project, Dr. Elgazzar is focused on the privacy and protection of data that is stored in sensors or personal devices such as pacemakers in an open environment. He is currently developing a privacy preservation access technique that would enable only the user and an authorized entity to access the data and sensors in their proximity.
Institute for Electrical and Electronics Engineers (IEEE)
- Design and Analysis for IoT Software Systems (SOFE 4610U)
Internet of Things (IoT) systems are large scale complex systems integrating sensing, data analytics, software services, and actuation through the Internet. Design and development of software systems for the Internet of Things (IoT) and the related architectures, technologies, communication protocols and frameworks used to enable the IoT are described. The importance and benefits of IoT in society is presented through large scale IoT application examples like smart buildings, remote health monitoring, and smart cities. Students will learn to design and analyze IoT systems with an emphasis on software architecture, protocols at the sensor, actuation, and service layer, and data storage and analysis with the goal of facilitating the deployment of IoT services. IoT specific security concerns and solutions will be discussed. Experiential learning is emphasized through hands‐on design and development of IoT prototypes.