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

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.

Medical Face 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 with a virtual reality head set on.

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 sitting at a table with a laptop open.

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, Image shot from below looking up at a group of connected wires.

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 …

Head and shoulders photo of 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 …

Head shot of Joshua Woods

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 …

Head shot of Xiaodan Zhu

Dr. Xiaodan Zhu, Mitchell Professor, Text Analytics and Machine Learning

Better language algorithms mean better AI and better machines. Dr. Xiaodan Zhu is at the forefront of this movement. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. The Mitchell Professors reside in …

Head shot of Matthew Robertson.

Dr. Matt Robertson, Mitchell Professor, Bio-Inspired Robotics

Integrating nature and robotics, from slithering to swarms. Dr. Matt Robertson is the Mitchell Professor reinventing robots via the natural world. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. The Mitchell Professors …

Head shot of Ali Etemad

Dr. Ali Etemad, Mitchell Professor, AI for Human Sensing and Understanding

Queen’s Engineering is reinventing our understanding of machines; from how they think, to how they move, to how they – and we – feel. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. …

Head shot of Dr. Amy Wu

Dr. Amy Wu, Mitchell Professor, Bio-Inspired Robotics

Queen’s Engineering is reinventing our understanding of machines; from how they think, to how they move, to how they – and we – feel. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. …