Spearheading the construction of reliable and secure connected and autonomous vehicles (CAVs): this research aims to address numerous security weaknesses that expose systems to potential attacks, misuse, and safety threats.
Developing innovative resource management solutions towards robust, efficient, and intelligent wireless Internet of Things networks: this research will have wide-ranging applications in telecommunications from smart homes to emergency response.
Leveraging state-of-the-art machine learning technologies for biomedical data integration and exploration: this research will help to transform how clinicians treat patients with cancer using a data-driven, precision medicine approach.
"Privacy regulation can't keep pace with the supersystems collecting, analyzing, and using personal data," writes Queen's researcher David聽Lyon聽for聽The Conversation Canada.
![[Robotic arm balancing the scales of justice]](/research/sites/all/modules/contrib/lazyloader/image_placeholder.gif "Championing AI for social justice")
![[Illustration of surveillance technology]](/research/sites/default/files/styles/3x2_cropped/public/assets/legacy/images/shutterstock_788865235_1000x667.jpg?itok=OGN4xeOr "The coronavirus pandemic highlights the need for a surveillance debate beyond 鈥榩rivacy鈥�")