A team of exceptional Queen’s researchers from across the Faculty of Engineering and Applied Science, the School of Computing, and the School of Kinesiology and Health Studies support the core of the Institute’s research and educational activities. The Institute’s expertise cover four core technical competencies.
Artificial Intelligence (AI) and its sub-discipline Machine Learning are rapidly becoming fundamental tools that serve to drive modern intelligent systems engineering and design. Our experts in this domain focus on research and the application of algorithms and techniques that support intelligent decision making and interactions. Specific Institute expertise include deep learning, natural language processing, ambient computing, and computer vision.
Researchers with expertise in Intelligent Sensors and Actuators focus on the creation and seamless integration of sensors and actuators into intelligent human-machine systems that understand and interact with the world around us. Through the fusion of signals and information from multiple sensing modalities, context-aware systems capable of drawing a detailed and accurate picture of the environment is developed, thus enabling a wide range of intelligent, responsive, and interactive applications.
Robotics is how AI interacts with the world. Robotics, Mechatronics, and Autonomous Systems are inherently multi-disciplinary fields that focus on the explicit combination of expertise from computer, electrical, mechanical, as well as control engineering towards the creation of novel machines and systems that enhance our daily lives. Our researchers design new mechatronic devices, robotic machines, and autonomous systems that have applications from intelligent manufacturing, modern transportation, mining, construction, security, and precision agriculture, to household automation, healthcare, and universal accessibility.
Researchers who work on Human-Machine Systems focus on understanding and enhancing the naturally complex interactions between humans and machines by designing and developing interfaces that optimize learning, performance, and task execution through the use of intelligent and adaptive technologies. The advanced capabilities of modern engineered machines and devices are used to magnify human capabilities and to respond to increasingly complex situations in real, virtual, and mixed reality environments.