Kindred offers eCommerce retailers a solution to assist with rapid order fulfilment from their distribution centres. The solution (SORT) is a combination of a so-called put-wall and a humanoid robot. The robot picks up items from orders, scans them, and puts each item in a cubby of the put-wall according to the scan code. The […]

Question Answering (QA) system automatically answer questions raised by users in natural languages, and it is a crucial component of a human-machine conversation system. A typical QA system collects human written question-answer groups and structures them in a database system. However, in order to answer questions that are semantically similar to the questions stored in […]

The aim is to understand how fibroblasts, the most common connective tissue in animals, and cancer cells interact with each other through image analysis. These co-culture imaging screens, containing fibroblasts and cancer cells, will help identify novel signaling mechanism involved in cancer. The objective is to apply deep learning techniques to these image-based assays to […]

Currently, mine water treatment systems within the Sydney Coalfield extract and treat mine water from depth with the aim to gradually ‘flush’ the mine pools of its acid-generating products and achieve good water quality over the long-term. However, since the deep, lower quality mine water is always being treated, significant annual operational costs (>$1 million) […]

The proposed research will study the best way to evaluate sleep disorders among persons who suffered a mild to moderate traumatic brain injury (TBI) in the workplace. We will draw upon the Workplace Safety and Insurance Board-insured workers being evaluated at Toronto Rehabilitation Institute, approximately 300-400 annually, for mild to moderate TBI. This study will […]

As the urgency for action against climate change increases, local governments around the world are committing to reducing greenhouse gas emissions through deep decarbonization targets. Cities are the largest place-based sources of GHG emissions and therefore have great potential to reduce emissions on a global scale. In order to reach meaningful reduction levels, transformative change […]

Sarcopenia is a disease characterized by the decline of skeletal muscle mass, muscle strength, and physical performance. To gain a better understanding of this disease and to assess both functional and anatomical effects of sarcopenia, experimental and modeling data have been collected. The neuromuscular models developed in our team and the studies built on them […]

The detection of a biological agent has become paramount to anticipate a possible health threat (epidemic or pandemic), an environmental threat or to combat other contextual threats (bioterrorism, chemical and biological weapons). A cost effective, portable, reliable and safe solution is required to allow detection in location where biological equipment is not available (such as […]

The recovery of facial mimics for patients with facial paralysis allows to improve their living conditions and social identity. Functional rehabilitation of facial disorders is also an important clinical step to improve the quality of surgical interventions and drug therapies. However, the recovery and rehabilitation of facial mimics and expressiveness remains a major scientific and […]

The Seasonal Agricultural Workers Program (SAWP) brings thousands of Mexican workers into Ontario every year, lodging them in rural communities which otherwise experience little immigration and have comparatively low rates of diversity. While most employers house SAWP workers in on-farm accommodations, some instead use off-site apartment buildings or provide lodgings with local families. My research […]

Host cell proteins are inevitable contaminants of biopharmaceuticals. Here, we performed detailed analyses of the host cell proteome of moss (Physcomitrella patens) bioreactor supernatants using mass spectrometry and subsequent bioinformatics analysis. Distinguishing between the apparent secretome and intracellular contaminants, a complex extracellular proteolytic network including subtilisin-like proteases, metallo-proteases, and aspartic proteases was identified. Knockout of […]

Deep convolutional neural networks (CNNs) have been tremendously successful in many high-level computer vision tasks, e.g., image recognition and object detection. Although recent works have shown that it is also possible to learn an end-to-end CNN model for low-level vision tasks, e.g., image dehazing, the resulting performance is still not completely satisfactory. For high-level vision […]