Mitchell Hall, Room 395 69 Union Street West Queen's University Kingston, ON K7L 3N6
+1 613-533-2995
ingenuity.labs@queensu.ca

Faculty Members

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

Ryan Grant

Assistant Professor, 
Electrical and Computer Engineering

Machine learning, IoT, ambient intelligence, wearables, HCI

Sidney Givigi

Associate Professor,
School of Computing

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

Xian Wang

Assistant Professor, 
Mechanical and Materials Engineering

Machine learning, IoT, ambient intelligence, wearables, HCI

Xiaodan Zhu

Associate Professor, Mitchell Professor
Electrical and Computer Engineering

Artificial intelligence and deep learning, natural language processing