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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.

Administration

Joshua Marshall

Joshua Marshall

Interim Director

Ramzi Asfour

Associate Director (Administration)

Participating Faculty Members

Laeeque Daneshmend

Industrial sensors, perception, machine monitoring and control

Ali Etemad

Machine learning, IoT, ambient intelligence, wearables, HCI

Sidney Givigi

Robotics, machine learning, UAV control, multi-vehicle systems

Nick Graham

Computer-aided exercise, simulation-based training and games

Michael Greenspan

Computer vision, object recognition, augmented reality

Keyvan Hashtrudi-Zaad

Haptics, telerobotics, tele-rehabilitation, autonomous vehicles, control Systems

Neil Hoult

Structural and infrastructure monitoring, big data, data analytics

Paul Hungler

Virtual and augmented reality, interactive systems for training

Qingguo Li

Robotics, mechatronics, wearable systems, energy harvesting

Joshua Marshall

Joshua Marshall

Field robotics, autonomous vehicles, systems control, and mechatronics

Jim McLellan

Real-time optimization, data analysis, systems and process control

Michael Rainbow

Biomechanics, human imaging, computational modelling

Karen Rudie

Discrete-event systems, supervisory control, system opacity

Jessica Selinger

Biomechanics, energetics, control of legged locomotion

Brian Surgenor

Mechatronics, process automation and control, machine vision

Xiaodan Zhu

Artificial intelligence and deep learning, natural language processing

Amy Wu

Mechatronics, human biomechanics, wearable and assistive devices

Interim Advisory Board

Jacob Apkarian

Founder and CTO
Quanser

Lane Desborough

Chief Engineer
Bigfoot Biomedical

Amir Fam

Associate Dean (Research)
Faculty of Engineering & Applied Sciences, Queen's University

Tara Javidi

Professor
University of California, San Diego

Amy Loutfi

Professor (Computer Science)
Örebro University, Sweden

Cameron Ower

CTO and Director of Engineering (Robotics and Automation)
MDA

W. John Ballantyne

Associate
Stillwater Capital

Sven Dickenson

VP and Chief Scientist
Samsung Toronto AI Research Centre
Professor, University of Toronto

Michael Lewis

General Manager (Technology)
Komatsu

Patrick F. Murphy

President (Rock Drills & Technology)
Sandvik AB

Mark Van Buren

Deputy Commissioner (Transportation and Infrastructure)
City of Kingston