Deep brain stimulation (DBS) is a complicated electrotherapeutic medical procedure which provides irreplaceable therapies and treatments for several nervous system disorders, such as Parkinson’s disease. Advancements in the electrodes designs will improve the delivered therapy and enhance the efficacy of the DBS system. The objective of this project is to begin preliminary designs for deep […]

Expressing Vibrancy is a yearlong project outlining an approach for measuring the cultural vibrancy of neighbourhoods. The proposed research seeks to develop methods for understanding and measuring the cultural vibrancy of neighbourhoods, using Hamilton, Ontario as a case study. Using innovative technologies (geo-referenced video), this project will analyze the relationship between measures of cultural vibrancy […]

An increasing number of wearable devices collect and use physiological information to track physical and mental health on a daily basis. While large-scale research initiatives allow an unprecedented amount of data to be collected, biosignal analysis techniques have yet to catch up. Indeed, analysis tools designed by hand based on small datasets available in traditional […]

Modern pesticides have revolutionized agriculture. However, growing concerns with pest resistance, environmental run-off, and a lack of capacity to deal with abiotic stresses associated with drought or extreme heat (critical issues with regards to climate change) demand new solutions. Suncor has developed new plant immune aids that address these challenges by fortifying the immunity of […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

The Canadian Association of Midwives (CAM) implements global programs in Africa and the Caribbean, building midwives’ technical skills and strengthening the capacity of midwifery professional associations in our partner countries. CAM seeks two researchers first to assess current best practices in skills and knowledge transfer activities (particularly the transfer of healthcare skills) and civil society […]

There is more to Artificial Intelligence than the algorithm. Intelligent systems must also consider how data is acquired, trade-offs between algorithmic approaches, and what action is taken based upon algorithmic decisions. Lunar Medical, Inc. performs research and development in the area of intelligent and operational space medicine. This internship will investigate the full range of […]

Limited driving range coupled with limited availability of fast charging facilities is a major obstacle for electric vehicle (EV) adoption. As battery technology improves for EVs to have fast charging capabilities, the demand for EV fast charging facilities is also increasing. However, fast charging stations do impose challenges to the electricity grid due to high […]

Specialty medicine training in Canada is transforming to a competency-based model. This is the biggest change in specialty education in a century. The new education system emphasizes the abilities to be acquired of specialist physicians, the sequencing of skills (from foundational to complex), tailoring of training to meet the needs of the individual, and assessment […]

Early detection of pathogen biomarkers such as E. coli is important for management of water bodies and agricultural farms. This information is invaluable to municipalities, provincial governments and private enterprises. Such information could have probably prevented the worst-ever outbreak of E. coli contamination in Bruce County, Ont. in 2010 where 2,300 people fell ill and […]

Analyzing customer behavioral patterns and attrition aids organizations in understanding its core customers and improve its decision-making processes in regards to customer attrition and targeted marketing. In this research project, we will develop behavioural analytics super network models and algorithms for behavioural customer segmentation and attrition prediction in the presence of big data. Our models […]

Scleroderma or Systemic Sclerosis (SSc) is an autoimmune disease characterized by progressive fibrosis of skin and multiple internal organs and prominent and often severe alterations in the microvasculature. Although SSc is the third most common systemic inflammatory autoimmune disease, there is currently no effective disease-modifying therapy for SSc. The overall objective of this project is […]