Faculty membership in Ingenuity Labs is open to any faculty member at Queen’s whose research work directly involves robotics, artificial intelligence, and/or human-machine interfaces. The process involves an application letter, a nomination letter from an existing faculty member, and a presentation to the institute membership. The Steering Committee will deliberate and decide on the candidate’s membership in Ingenuity Labs. Please review Section 3.1 of our constitution for more details.
Ali Etemad
Associate Professor,
Mitchell Professor
Electrical and Computer Engineering
Machine learning, IoT, ambient intelligence, wearables, HCI
Amy Wu
Assistant Professor,
Mitchell Professor
Mechanical and Materials Engineering
Mechatronics, human biomechanics, wearable and assistive devices
Asli Sari
Assistant Professor,
The Robert M. Buchan Department of Mining
Surface and underground mine planning, data analysis, machine learning applications in mine optimization, fleet management, mine automation
Brian Surgenor
Professor,
Mechanical and Materials Engineering
Mechatronics, process automation and control, machine vision
Christian Muise
Assistant Professor,
School of Computing
Artificial Intelligence, automated planning, goal-oriented dialogue systems
Geoffrey Chan
Professor,
Electrical and Computer Engineering
Speech processing, Perceptual modeling, Multimedia communications, Optical fiber communications, Source-channel coding, Signal compression
Il Min Kim
Professor,
Electrical and Computer Engineering
Applications of AI/deep learning in wireless signal processing
Jianbing Ni
Assistant Professor,
Electrical and Computer Engineering
Mobile Network Security, Applied Cryptography, Machine Learning Security, Block Chain Technology
Jim McLellan
Professor,
Chemical Engineering
Real-time optimization, data analysis, systems and process control
Joshua Marshall
Professor,
Electrical and Computer Engineering
Field robotics, autonomous vehicles, systems control, and mechatronics
Joshua Woods
Assistant Professor,
Mitchell Professor
Civil Engineering
Digital image correlation, intelligent sensors, structural monitoring and condition assessment, hybrid simulation, smart cities
Karen Rudie
Professor,
Electrical and Computer Engineering
Discrete-event systems, supervisory control, system opacity
Keyvan Hashtrudi-Zaad
Professor,
Electrical and Computer Engineering
Haptics, telerobotics, tele-rehabilitation, autonomous vehicles, control Systems
Matthew Pan
Assistant Professor
Electrical and Computer Engineering
Human-Robot Interaction, Social Robotics, Assistive Robotics
Haptics,Virtual Reality,
Augmented Reality
Matthew Robertson
Assistant Professor,
Mitchell Professor
Mechanical and Materials Engineering
Bioinspired robotics, Soft Robotics, Mechatronics, Actuators, Wearable Technology
Melissa Greeff
Assistant Professor
Electrical and Computer Engineering
Aerial Robotics, Control Systems
Learning-Based Control, Multi-Robot Systems,Vision-Based Navigation, Field Robotics
Michael Greenspan
Professor,
Electrical and Computer Engineering
Computer vision, object recognition, augmented reality
Neil Hoult
Professor,
Civil Engineering
Structural and infrastructure monitoring, big data, data analytics
Nick Graham
Professor,
School of Computing
Computer-aided exercise, simulation-based training and games
Paul Hungler
Assistant Professor,
Chemical Engineering
Virtual and augmented reality, interactive systems for training
Qingguo Li
Associate Professor,
Mechanical and Materials Engineering
Robotics, mechatronics, wearable systems, energy harvesting
Sidney Givigi
Associate Professor,
School of Computing
Robotics, machine learning, UAV control, multi-vehicle systems
Xiaodan Zhu
Associate Professor,
Mitchell Professor
Electrical and Computer Engineering
Artificial intelligence and deep learning, natural language processing