Translational Research in Visual Analytics for Personalized Health

Personalized health is increasingly gaining public attention in the media as the future of healthcare. Personalized health is the idea that medical treatment will be tailored to the individual based on their predicted response or risks of disease. Omics analysis, defined as the universal detection of different classes of biological molecules, has the potential to […]

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A reinforcement learning approach to establishing a Q&A symptom checker to evolve the performance of the visual diagnosis system for dermatological diseases

The partner is creating artificial intelligence which can help diagnose over 1,300 skin conditions with dermatologist-level accuracy. They are focused on building the functionality that is to be deployed through their app and web-interface that makes it possible to snap a photo, ask questions, and get an instant diagnosis. The partner is very focused on […]

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Mobile Analytics Interface for an Ocean Vessel Profiling Device

The goal of this project is to design and implement a mobile “dashboard” interface for an ocean vessel profiling device that captures speed, location, torque, and other data relevant to ship powering measurement and prediction. The interface will provide real-time visualizations that a pilot, engineer, or scientist can use to monitor the impact of ship […]

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System-Level Performance Analysis of Shared Relaying Architecture withRealistic Channel Modeling

Future wireless networks call for seamless coverage and higher data rates at low infrastructure cost. Cooperative relaying strategies are among the most promising of future technological solutions toward achieving this goal. The proposed research project intends to evaluate the system-level performance of a specific relaying architecture called the shared relaying network. To quantify the benefit […]

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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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