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A portrait of Researcher Khalid Elgazzar

Khalid Elgazzar

Canada Research Chair in the Internet of Things (IoT)

Assistant Professor

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

Dr. Khalid’s research explores the link between physical infrastructure and technology innovations. He’s uncovering new information on the expansion of Internet-enabled computing devices and advancements in wireless technologies. His research findings have applications for the seamless interaction of smart services in areas such as health care, transportation, industrial automation, emergency response and law enforcement.

English, Arabic

  • 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

Intelligent ECG Monitoring using BLE Real-time Streaming

IEEE 7th World Forum on Internet of Things (WF-IoT 2021), New Orleans, Louisiana


On the Convergence of Internet of Things and Artificial Intelligence

ICCSPA 2020: International Conference on Communications, Signal Processing and their Applications


IoT for Efficient Energy Management in Smart Cities and Connected Communities

World Energy Strategies Congress and Exhibition 2019 (WESCE’19), Istanbul, Turkey


Human Technology Interface, Tech and Privacy Panel

President’s Future Forum, Ontario Tech University, Oshawa, Ontario


An Open and interoperable Infrastructure for IoT Environments

ICIoT 2019, SRM IST, Chennai, India


Humanity and Technology, Our Privacy is at the Brink in the Information Age

Walrus Talks Humanity and Technology, MaRS Discovery District, Toronto, Ontario


Smart City: A Reality Check

Hello Tomorrow, Durham Smart Cities Forum, Oshawa, Ontario


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


QuARAM Service Recommender: A Platform for IaaS Service Selection

The 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016), Shanghai, China


The Case of Face Recognition on Mobile Devices

IEEE Wireless Communications and Networking Conference, Doha, Qatar


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


SLAM: SLA Monitoring for Federated Cloud Services

The 8th IEEE International Conference on Cloud Computing, Limassol, Cyprus


A Framework for Vehicular Cloud Computing

The 2015 International Conference on Connected Vehicles and Expo, Shenzhen, China


goDiscovery: Web Service Discovery Made Efficient

The 22nd IEEE International Conference on Web Services, New York City, New York


QuARAMRecommender: Case-Based Reasoning for IaaS Service Selection

The International Conference on Cloud and Autonomic Computing (CAC 2014), Imperial College, London, England


Secure and Efficient Data Placement in Mobile Healthcare Services

The 25th International Conference on Database and Expert (DEXA 2014), Munich, Germany


Near-Clouds: Bringing Public Clouds to Users’ Doorsteps

The 9th IEEE Symposium on Computers and Communications, Madeira, Portugal


Best Paper Award: Empowering Mobile Service Provisioning Through Cloud Assistance

The 6th IEEE/ACM International Conference on Utility and Cloud Computing, Dresden, Germany


A full list of Dr. Elgazzar's publications can be accessed on Google Scholar.

  • Youssef Osman, Reed Dennis and Khalid Elgazzar, “Yield Estimation and Visualization Solution for Precision Agriculture”, Sensors, 2021. 
  • Reed Dennis, Youssef Osman, Sifatul Mostafi and Khalid Elgazzar, “Quantitative Analysis of Deep Learning Object Detection Models”, IEEE Access, 2021. 
  • Taghreed Alghamdi, Khalid Elgazzar, and Taysseer Sharaf, “Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling” Future Internet, 2021. 
  • Ahmed Badr, Abeer Badwai, Khalid Elgazzar, Abdulmonem Rashwan, “Real-time Electrocardiogram Monitoring and Analysis”, ACM Transactions on Computing for Healthcare, 2021. Alaa Khamis, Dipkumar Patel, and Khalid Elgazzar, “Deep Learning for Unmanned Autonomous Vehicles: A Comprehensive Review”, SI: Deep Learning for Unmanned Systems, Studies in Computational Intelligence, Springer-Verlag, Germany, 2021.
  • Ulya Sabeel, Shahram Shah Heydari, Khalid Elgazzar, Khalil El-Khatib, “Training Defensive AI to Detect Atypical Cyberattacks”, IEEE Access, 2021.
  • Ghadeer Abdelkader, Khalid Elgazzar, Alaa Khamis, “Connected Vehicles: Technologies Review, State-of-the-Art, Challenges and Opportunities”, Transactions on Intelligent Transportation Systems, 2020.
  • Kasem Khalil, Khalid Elgazzar, Mohamed Seliem, Magdy Bayoumi, Resource Discovery Techniques based on Communication Protocols in The Internet of Things: A Survey”, Elsevier Internet of Things Journal, 2020.
  • Ashraf Alkhresheh, Khalid Elgazzar, Hossam Hassanein, “DACIoT: Dynamic Access Control Framework for IoT Deployments”, IEEE Internet of Things Journal, 2020. DOI: 10.1109/JIOT.2020.3002709
  • Sayani Sarkar, Michael W. Tataro, Khalid Elgazzar, and Ashok Kumar, “Real-Time Object Processing and Routing for Intelligent Drones”, IEEE Computer Journal & Magazine, March 2020.
  • Ashraf Alkhresheh, Khalid Elgazzar, Hossam S. Hassanein, “Access Control Models in IoT: Dynamic Authorization Perspective”, Wireless Communications and Mobile Computing, Special Issue on Privacy-preserving IoT Environments, 2019.
  • Sittichai Sukreep, Khalid Elgazzar, Cheehung Henry Chu, Chakarida Nukoolkit, and Pornchai Mongkol- nam, “Recognizing Falls, Daily Activities, and Health Monitoring by Smart Devices”, Sensors and Materials, Special Issue on
    Smart Connections and Intelligent Computation in IoT, Vol. 31, No. 6 pp.1847–1869.
  • Mohamed Seliem, Khalid Elgazzar, “Towards Privacy Preserving IoT Environments: A Survey”, accepted, Wireless Communications and Mobile Computing, Vol. 2018, Nov. 2018.
  • Sittichai Sukreep, Khalid Elgazzar, Henry Chu, Pornchai Mongkolnam, Chakarida Nukoolkit, “iWatch: A Fall and Activity Recognition System Using Smart Devices”, International Journal of Computer and Communication Engineering (IJCCE), Vol. 8, No. 1, January 2018.
  • 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, 2014, Khalid Elgazzar, Patrick MartinHossam, S. Hassanein
  • Cloud-Assisted Computation Offloading to Support Mobile Services, Published in IEEE Transactions on Cloud Computing, August 22, 2014
  • DaaS: Cloud-based Mobile Web Service Discovery, Published in Pervasive and Mobile Computing, August 1, 2014, Khalid Elgazzar, Hossam S.Hassanein & PatrickMartin
  •  Resilient P2P Architecture for Mobile Resource Sharing, Published in The Computer Journal (Oxford) Volume 58, Issue 8, August 2015, Pages 1689–1700, July 4, 2014, Khalid Elgazzar, Sharief M. A. Oteafy, Walid M. Ibrahim & Hossam S. Hassanei 
  • Mobile Web Services: State of the Art and Challenges, Published in International Journal of Advanced Computer Science and Applications, March 1, 2014, Khalid Elgazzar & Patrick Martin
  • Appaas: Offering Mobile Applications as a Cloud Service, Published in Journal of Internet Services and Applications, November 4, 2013, Khalid Elgazzar, Ali Ejaz & Hossam S Hassanein

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.
  • Introduction to Programming for Engineers (ENGR 1200U)
    Introduction to the anatomy of a computer: CPU, memory, machine cycle, input and output devices, data representation; fundamental programming concepts: flowcharting, algorithm design, use of procedures, program control flow, arrays and vectors, arithmetic and logic operations, input and output, data declaration; programming in C++.
  • Real-Time Data Analytics for Internet of Things (ENGR 5785G)
    The velocity, diversity of data types and sheer volumes of data that IoT (Internet of Things) devices collect present unique challenges on data analytics techniques to support real-time decision making. This requires new perspectives in data collection, processing and management flows to cater to such unique requirements. This course focuses on data analytics specific to real-time data streams in IoT environments and applications. The course begins by defining the IoT conceptual framework, outlines application domains and draws clear distinctions between IoT data processing and typical big data analytics. Themes to be covered: IoT data collection architectures, interactions between service models and human subjects, data preprocessing, feature engineering and extraction, statistical modeling and estimation methods, time series analysis, spatiotemporal modeling, multivariate time series forecasting, real-time streaming data pipelines, anomaly detection in real-time sensing, event detection and classification techniques, privacy and security in IoT scenarios, and dynamic access control for real-time IoT.