Mitchell Hall, Room 395 69 Union Street West Queen's University Kingston, ON K7L 3N7
+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.

Chat with Student Researcher Rohan Bhambhoria

Check out this video about PhD student Rohan Bhambhoria and his work at Ingenuity Labs in developing a legal tool using artificial intelligence. More information about the research project can be found here: https://www.queensu.ca/research/features/championing-ai-social-justice

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Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review

Graduate students Karly Kudrinko and Emile Flavin, along with Ingenuity Labs researchers Qingguo Li and Xiaodan Zhu recently had a paper published in the IEEE Xplore. Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review

Thomas Sears 2020 Vanier Scholar

Thomas Sears, 2020 Vanier Scholar

Congratulations to Thomas Sears, one of six 2020 Vanier Canada Graduate Scholars at Queen’s University! Thomas is a Ph.D. student in the Department of Electrical and Computer Engineering at Queen’s University, in Kingston, Canada. He is passionate about the exploration of space and connecting people with all things science and technology. He is a member …

Dr. Il-Min Kim – Using Neural Networks as Mathematical Solvers

Check out this video about Ingenuity Labs researcher Dr. Il-Min Kim discussing the use of Neural networks as Mathematical Solvers. Dr. Kim also Director of the Wireless Artificial Intelligence Laboratory (WAI Lab).

Controlling Robots with your Mind

Dr. Sidney Givigi – Controlling Robots with your Mind

Check out this video about Ingenuity Labs researcher Sidney Givigi, and his Autonomous Robots Research Group. The project is Controlling Robots with your Mind.

AI for Rail Infrastructure Thermal Stress Condition Assessment

In Canada, thermal stress buildup due to climatic changes can lead to failure of rail structures. Currently, there are no techniques available to continuously monitor the stress state in a rail over long distances. Distributed fibre optic sensing is a promising solution. Due to the extent of rail track infrastructure in Canada (45,000 km), the …

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Dr. Amy Wu talks about Queen’s University rapid response funding for projects supporting medical and social coronavirus related solutions

Amy Wu is an Assistant Professor of Mechanical and Materials Engineering. She is designing, testing and evaluating low-cost medical grade face shields that can be produced within the community. She was interviewed on Global News Morning Kingston on June 16, 2020. Original Global News article.

Artificial Intelligence for Workplace of the Future

Artificial Intelligence for Workplace of the Future

Ambient factors such as light, heat, and music can significantly impact physical comfort in employees. Additionally, affective states and cognitive load of workplace occupants can affect their quality of life, general happiness, and cognitive capacity. This research aims to design and develop a smart workplace capable of detecting, analyzing, and acting on the environmental ambient …

33rd Canadian Conference on Artificial Intelligence (Canadian AI 2020)

Story by Rohan Bhambhoria, PhD Candidate From May 13th to 15th, 2020, the 33rd Canadian Conference on Artificial Intelligence (Canadian AI 2020) was held jointly with the Computer and Robot Vision Conference (CRV). These events (AI·CRV 2020) brought together hundreds of leaders in research, industry and government, as well as Canada’s most accomplished students, showcasing Canada’s …

Amy Wu recipient of Rapid Response Competition Funding

The Rapid Response competition and support research projects that contributed to the development, testing, and implementation of medical or social countermeasures to mitigate the rapid spread of COVID-19. Dr. Amy Wu was one of thirteen applicants who received funding in the first round. Read the article in the Queen’s Gazette. Amy Wu (Mechanical and Materials Engineering) – Designing, …