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A portrait of Researcher Khalid Elgazzar

Khalid Elgazzar
PhD

Canada Research Chair in the Internet of Things (IoT)

Assistant Professor

Electrical, Computer and Software Engineering
Faculty of Engineering and Applied Science

Revolutionizing the development of advanced wireless technologies to maintain privacy while delivering unprecedented convenience



  • 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

Personal Mobile Services

Published in Service Oriented Computing and Applications September 17, 2014
Khalid Elgazzar, Patrick MartinHossam, S. Hassanein

View more - Personal Mobile Services

Cloud-Assisted Computation Offloading to Support Mobile Services

Published in IEEE Transactions on Cloud Computing August 22, 2014

Postdoctoral Research Associate

Carnegie Mellon University May 1, 2015

During 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, 2014

Dr. 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, 2013

Dr. 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, 2018

Dr. 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, 2018

As 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, 2017

As 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, 2017

In 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, 2017

As 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.