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A portrait of Researcher Khalid Elgazzar

Khalid Elgazzar

Canada Research Chair in the Internet of Things (IoT)

Associate 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.

  • Ulya Sabeel, Shahram Shah Heydari, Khalil El-Khatib, Khalid Elgazzar, "Deep Learning in Network Intrusion Detection: Technical Review, Applications and Challenges", IEEE Communications Surveys Tutorials, 2022, Under Review.
  • Haytham Khalil, Khalid Elgazzar, "Location Transparency Call (LTC) System: An Intelligent Phone Dialing System Based on the Phone of Things (PoT) Architecture", Future Internet, Vol. 14, No. 4, p. 111, 2022
  • Ahmed Badr, Abeer Badwai, Khalid Elgazzar, and Abdulmonem Rashwan, "XBeats: A Real-Time Electrocardiogram Monitoring and Analysis System", MDPI Signals, Vol. 3, No. 2, pp. 189-208, 2021. 
  • Ulya Sabeel, Shahram Shah Heydari, Khalid Elgazzar, and Khalil El-Khatib, "Incremental Adversarial Learning for Polymorphic Attack Detection", IEEE Transactions on Network and Service Management, 2021. [under review]. 
  • Abeer Badawi, and Khalid Elgazzar, "Detecting Coronavirus from Chest X-rays Using Transfer Learning", COVID, Vol. 1, No. 1, pp. 403-415, 2021.
  • Youssef Osman, Reed Dennis and Khalid Elgazzar, “Yield Estimation and Visualization Solution for Precision Agriculture”, Sensors, Vol. 1, No. 1, pp. 403-415, 2021
  • Reed Dennis, Youssef Osman, Sifatul Mostafi and Khalid Elgazzar, “Quantitative Analysis of Deep Learning Object Detection Models”, IEEE Access, 2021. [under review]
  • Taghreed Alghamdi, Khalid Elgazzar, and Taysseer Sharaf, “Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling” Future Internet, Vol. 13, No. 19, pp.225-246. 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

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.

Outstanding Achievement in Sponsored Research Award

UL Lafayette September 1, 2017

Queen's School of Computing Distinguished Research Award

Queen's University January 1, 2014

Queen's Postdoctoral Travel Award

Queen's University January 1, 2013

Best Paper Award

IWCMC'10, Caen, France January 1, 2010

Queen's University Graduate Award

Queen's University January 1, 2013

Queen's University PhD scholarship

Queen's University January 1, 2009

MSc scholarship

Arab Academy for Science and Technology, Egypt January 1, 2007

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.

Canadian Advanced Research Facility for Aerial Robotic Manipulation: Can-ARFARM


Co-Investigator. Grant amount of $2,779,581

Towards Dementia-Friendly Communities: Experiential Awareness to Promote Enhanced Accessible Mobility

PHAC/Dementia Strategic Fund

Co-Investigator. Grant amount of $716,000

Implementation of Hybrid Automated-Assisted Inspection Solution for Highway Infrastructure

MTO May 1, 2023

Co-Investigator. Grant amount of $126,375

Triage-Bot: An AI-powered Assistive Triage Frame- work

NFRF/SC March 1, 2024

Co-Investigator. Grant amount of $237,970

Automated Speed Enforcement Analysis

Durham Region/City Studio June 1, 2023

Principal Investigator. Grant amount of $10,000

Real-time Traffic Analytics from Live Camera Feeds

NSERC/I2I/L2M June 1, 2023

Principal Investigator. Grant amount of $20,000

Intelligent Real-time Traffic Analysis from Live Video Streams

NSERC Alliance/VIP April 1, 2022

Principal Investigator. Grant amount of $70,932

Runway Condition Detection and Analysis using Deep Learning

NSERC Alliance March 1, 2022

Principal Investigator. Grant amount of $100,500

Industry-oriented 5G testbed for Industrial Internet of Things (IIoT)

Mothersill Family, Donation December 1, 2021

Principal Investigator. Grant amount of $25,000

DementiaAssist: Transforming Dementia Care in Communities Through Intelligent Sensing and Socially Assistive Therapeutic Robots

CIHR, Project Grant

Principal Investigator. Grant amount of $1,240,000

Leveraging Artificial Intelligence and a Conversa- tional Robot to Detect and Manage Behavioral and Psychological Symptoms of Dementia

Ontario Shores/Ontario Tech Joint grant August 1, 2021

Principal Investigator. Grant amount of $25,000.

Real Time Traffic Analysis from Live Video Streams

City of Oshawa December 1, 2021

Principal Investigator. Grant amount of $25,000.

Development Platform for Acoustoelectric Impedance Tomography in Internal Radiation Therapy

NSERC/RTI April 1, 2021

Co-Investigator. Grant amount of $150,000.

Protecting User Privacy in the Connected World

Privacy Canada March 1, 2020

Principal Investigator. Grant amount of $50,000

Towards Privacy Preserving IoT Environments

NSERC March 1, 2024

Principal Investigator. Grant amount of $127,500.

Steerable Tumour-sensing Needles for Real-time Biopsy and Brachytherapy of Breast, Prostate, and Gynecological Cancers

New Frontiers (Carlos Rossa, PI) March 1, 2021

Co-Investigator. Grant amount of $273,310

Ontario Tech New Hire Startup Grant

Ontario Tech University December 1, 2024

Principal Investigator. Grant amount of $80,000

A Comprehensive Data Integrity/Trust Approach for IoT Infrastructures

CGI(Industry) August 1, 2019

Principal Investigator. Grant amount of $60,000

Event Detection and Classifications from Live Video Streams

CGI(Industry) July 1, 2022

Principal Investigator. Grant amount of $40,000

Cloud-Connected Testbed for Autonomous Agricultural Vehicles

Ontario Tech University-RIF

Co-Investigator. Grant amount of $60,000

Enabling Ubiquitous Urban Data Services in Smart City Settings

UL Lafayette June 1, 2018

Principal Investigator. Grant amount of $2,000

Data Integrity for IoT Smart Infrastructure

CGI(Industry) June 1, 2018

Principal Investigator. Grant amount of $60,000

Enabling Mobile Visual Analytics

LITE(Industry) July 1, 2018

Principal Investigator. Grant amount of $40,000.

UL New Hire Startup Grant

UL Lafayette July 1, 2017

Principal Investigator. Grant Amount of $200,000.

Personalized Mobile Service Delivery

NSERC/PDF April 1, 2017

Principal Investigator. Grant amount of ($90,000).

FreeMKet: Ubiquitous Marketplace for Mobile Service Exchange

OCE/NSERC October 1, 2015

Co-investigator. Grant amount of $84,878

Personalized Web Tasking

MITACS/IBM August 1, 2014

Principal investigator. Grant amount of $30,000.

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.