Interoperative Performance Measurement of Surgeons using Deep Learning

Surgery is undoubtedly one of the most important events in a person’s life. It is thus imperative that a feedback system is in place to ensure that proper care is provided to patients during surgery. Currently, such systems involve experienced surgeons watching hours of surgery to determine how well the surgery was performed based on […]

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Open-domain Contextual Conversation Generation

The objective of the project is to design a system that is able to generate context-wise reasonable and meaningful responses to open-domain conversation queries. In open-domain conversation generation, the retrieval-based methods and neural network generative models are two main approaches; there are also some recent research about improving the context consistency of conversation generation. In […]

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Using advanced analytics to develop a multimodal signature of concussion and post-concussive syndrome

Concussions are extremely common in deployment and in military and civilian activities (i.e. sports). Persisting symptoms that make up “post-concussive syndrome” (PCS) including headaches, balance difficulties, depression and anxiety can occur in 10-15% of cases. The diagnosis of concussion and PCS is currently based on a patient’s report of their symptoms and a physical exam. […]

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Communicating Credentials: Building blockchain solutions for university degree verification

Document fraud is increasing and undermining the integrity of high quality education in Canada. With over 100,000 fake diplomas sold in the USA every year and legitimate universities incurring significant expenses protecting their intellectual property rights together with negative reputational spill-overs for legitimate universities, blockchain-based platforms, a technology in which transactions that are agreed to […]

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Théorie PAC-Bayésienne pour l’apprentissage de réseaux de neurones profonds

De nos jours, l’analyse des données est au coeur de plusieurs nouvelles technologies, surtout avec l’arrivée de l’ère du « big data » et l’essor du « deep learning ». En effet, les réseaux de neurones profonds appliqués à des données massives révolutionnent certains domaines comme la vision, le traitement de la langue naturelle et […]

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Using machine learning to investigate sympathetic activation of the autonomic nervous system during treatment of mild traumatic brain injury, chronic pain and post-traumatic stress disorder

The goal of the proposed research project is to further our understanding and clinical management of Canadian Forces service members and Veterans suffering from a complex medical triad of traumatic brain injury, chronic pain, and post-traumatic stress disorder. Over half of rehabilitation patients experience one or more of these complex medical conditions, often associated with […]

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Machine Learning Based Encrypted Traffic Analysis

Accurate network traffic identification would assist network operations and management teams effectively on many different network tasks such as managing bandwidth and ensuring security. The demand for network management methods that optimize network performance and provide quality of service guarantees has increased substantially in recent years. As new social networking and voice over internet protocol […]

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Optimal path planning for service robotics in a convention setting

CrossWing Inc. has been developing a service robotics platform called VirtualMe, which is a multifunctional mobile robot base that can be configured for many applications. CrossWing is attempting to have the VirtualMe used as an interactive guide/mascot for convention settings. The goal of this project is to develop autonomous navigation capabilities for VirtualMe that would […]

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eChaperone Computer Vision Application in Healthcare Analytics

Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities […]

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Acoustic and Speaker Modeling Using Deep Learning

There is a rapidly growing need for voice powered human-machine interaction modalities for varieties of devices. Despite enormous investment in research and development in this area by a number of companies, significant limitations remain which prevent the ubiquitous proliferation of speech recognition. These limitations include poor performance in the presence of noise, inability to handle […]

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Cancer tissue classification using machine learning/deep learning algorithms

Raman spectroscopy is a non-destructive laser-based optical technique that provides information on the molecular composition of biological tissue. Using this technique, it is possible to distinguish different types of tissue and use this information to develop prognostic tests to evaluate, for example, how a patient will respond to a specific therapy. Combined with other spectroscopy […]

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Securing Enterprises with Social Network Analysis

Computer administrators defend enterprises using tools that do not scale to the size of modem networks. As a result, malicious behavior in enterprise networks generally is W1detected, even when attackers do not attempt to be stealthy. One way to improve this situation may be through the application of social network analysis to the computer sectrrity […]

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