Khalid Elgazzar
Dr. Khalid Elgazzar, Canada Research Chair in the Internet of Things (IoT), explores how sensor-equipped, AI-enabled connected technology is creating smarter solutions in health care, transportation, industrial automation and public safety. His lab’s work turns data into real-world action to address pressing challenges in areas such as:
- Road-user behaviour for speed enforcement: AI-powered radar and camera systems can monitor high-risk zones for speeding to ensure data-driven, ethical enforcement.
- Traffic modelling and smart intersections: Smart cameras equipped with special software can analyze traffic patterns in real-time, adjusting traffic lights, enabling vehicles to communicate with nearby road monitoring devices, and prioritizing emergency vehicles. This helps reduce congestion, makes driving safer, and prevents collisions.
- Heart monitoring: Wearable patches track cardiac activity in real time, using AI to detect arrhythmias and alert clinicians, which can also generally improve remote cardiac care and save lives.
- Dementia care and pre-agitation detection: Wearable devices and surrounding sensors can detect early signs of agitation through behaviour changes or body signals analysis. This allows caregivers to quickly respond with calming techniques, while still respecting the patient’s privacy and dignity.
- Precision agriculture: Smart sensors monitor soil health, crop conditions and local weather. This helps farmers use AI to water crops more efficiently and detect diseases early with drones, leading to better harvests and more sustainable farming.