Khalid Elgazzar

Dr. Khalid Elgazzar is an Associate Professor and Canada Research Chair in the Internet of Things (IoT) at Ontario Tech University's Faculty of Engineering and Applied Science. He holds a PhD in Computer Science from Queen's University and has expertise in IoT, AI, Big Data, distributed systems, and mobile computing. His research bridges physical infrastructure with technological innovations, with applications in healthcare, transportation, and smart cities.

Education:

• PhD in Computer Science, Queen's University, 2013
• MSc in Computer Engineering, Arab Academy for Science and Technology, 2007
• BSc in Computer and Communication Engineering, Alexandria University, 1995

Research Interests:

Dr. Elgazzar focuses on IoT architectures, real-time data analytics, and edge computing, with emphasis on cybersecurity, smart healthcare systems, and transportation safety. His work integrates AI techniques like deep learning and reinforcement learning to address challenges in distributed computing and sensor networks.

Awards:

• Best Paper Award at IEEE/ACM International Conference on Utility and Cloud Computing (2013)
• Outstanding Achievement in Sponsored Research Award (2017)
• Queen's School of Computing Distinguished Research Award (2014)

Grants & Labs:

Recipient of a Canada Research Chair Tier II (2018-present). He leads the IoT Research Lab, advancing projects like real-time ECG monitoring systems and intelligent traffic prediction models. Collaborations include institutions like Carnegie Mellon University and IBM Canada.

Teaching:

• Design and Analysis for IoT Software Systems (SOFE 4610U)
• Real-Time Data Analytics for IoT (ENGR 5785G)
• Introduction to Programming for Engineers (ENGR 1200U)