Mitchell Hall, Room 395 69 Union Street West Queen's University Kingston, ON K7L 3N6
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Ingenuity Labs Research Institute

We are an interdisciplinary initiative at Queen’s University focused on combining Artificial Intelligence, Robotics, and Human Machine Interaction to create future intelligent systems and robotic machines that enhance human productivity, safety, performance, and quality of life.

Queen’s University Ingenuity Lab researchers present their research at the Department of National Defence IDEaS Conference

Creating a New Paradigm for Simulation Based Training by Combining Augmented Reality, Real Time Cognitive Evaluation and Artificial Intelligence. On June 3rd, 2022, a multidisciplinary team from Queen’s University presented their research at the IDEaS MarketPlace Conference held at the Infinity Convention Centre in Ottawa. Composed of researchers in Engineering, Medicine, AI, Psychology and Education, …


RAIS2021: Student Posters

Robotics Path Planning using Millimetre Wave Autonomous Vehicle Radar Path planning in inclement weather conditions, including snow and heavy rain, is a significant problem plaguing autonomous vehicle systems. Our work takes a step towards tackling this problem by leveraging existing hardware commonly used in self-driving vehicles, low-cost millimetre wave (mmWave) radar systems, to detect common …

Kingston's Third Crossing

Queen’s Engineering researchers use AI, sensors to make new bridge “smart”

The Third Crossing development proved the perfect opportunity for a partnership between Ingenuity Labs and the City of Kingston. Dr. Joshua Woods, Ingenuity Labs Mitchell Professor and an Assistant Professor in the Department of Civil Engineering, describes their efforts as technology development, where the end goal is to help the city monitor the bridge. “The …

Student Researcher Rohan Bhambhoria receives funding from Lab2Market

L2M Toronto’s third cohort kicked off on September 13th, 2021 with 18 talented teams. Over the next four months they will embark on their entrepreneurial journeys to take their research to new beginnings. Through the L2M program, these researchers will learn world-leading methodologies and frameworks, and receive the support needed to bring their ideas to …

Mask on Machine

Researchers win best Paper at IEEE CCEC Conference.

Congratulations goes to researchers Eduardo Gasca Cervantes and Dr. Wai-Yip Geoffrey Chan on receiving best paper at the IEEE Canadian Conference of electrical and Computer Engineering (CCECE) Conference 2021. Their paper LIME-Enabled Investigation of Convolutional Neural Network Performances in Covid-19 Chest X-Ray Detection was selected as the best paper, among 84 accepted.

Paul Hungler

From Virtual Reality to competency-based learning, it’s innovation that inspires this Chemical Engineering and Ingenuity Labs professor

As a Major in the Canadian Armed Forces, Dr. Paul Hungler oversaw the delivery of Augmented (AR) and Virtual Reality (VR) training for military personnel. Now as an Assistant Professor in Chemical Engineering and Ingenuity Labs, he’s hoping that VR/AR can similarly revolutionize the way we educate future generations of engineers. “Getting access to things …

Ali Etemad and Pritam Sarkar

Generating ECG/EKG Signals from PPG Sensor Data

Dr. Ali Etemad, an assistant professor in the Department of Electrical and Computer Engineering, and PhD candidate Pritam Sarkar created a machine-learning model that could give cheap wearable tech the ability to measure a user’s cardiovascular health. The technology is available for licensing through the Queen’s Partnerships and Innovation office. For more information about Dr. …

Network picture by Alina Grubnyak

Xiaoyu Yang, Borealis AI 2021 Fellow

We are very proud to announce Xiaoyu Yang as one of the recipients of the Borealis AI 2021 Fellow. Xiaoyu is a PhD candidate working with researcher, Dr. Xiaodan Zhu, in the area of Natural language reasoning and incorporating external knowledge into neural networks. The Borealis AI Fellowship recipients, supported by Canada’s top researchers and …

Dr. Qingguo Li

Ingenuity Labs Member Qingguo Li, Exoskeleton Prototype

Walking just might get easier thanks to researchers at Queen’s University. They’ve designed an exoskeleton prototype that’s meant to help people walk farther, while using less energy. This device is a subject of a new study in the world-leading academic journal, “Science.” Click to read Article Dr. Michael Shepertycky and Dr. Qingguo Li, two minds …

Dr. Joshua Woods, Mitchell Professor, Intelligent Infrastructure Monitoring

A technological environment is a built environment. Dr. Josh Woods is rethinking how we can sense and measure how buildings “feel” – and reinvent how we relate to the structures we live and work in. He’s a faculty member in our Civil Engineering department; using AI and new ways of measuring materials, his work will …