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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A melanoma diagnosis and prognosis framework with human readable explanation

Melanoma is the most lethal skin cancer, accounting for 2% of all skin cancer types, yet approximately 75% of skin cancer deaths. It often evolves from clear skin or existing moles, making it difficult to diagnose at early stage. Besides, the treatment of melanoma is a complex decision making process, which is affected by a […]

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Radio Frequency Identification (RFID) Based Multi Agent System in Banking Environment

The wide adoption and development of wireless sensing technologies for the monitoring and autonomous identification of financial activities have affected financial institutions in the past decade. However, wider utilization of RFID technologies in the banking sector has introduced challenges regarding the security and privacy of sensitive financial data. The proposed innovations and technological developments will […]

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Radio Frequency Identification (RFID) Based Multi Agent System in Banking Environment – Year two

The wide adoption and development of wireless sensing technologies for the monitoring and autonomous identification of financial activities have affected financial institutions in the past decade. However, wider utilization of RFID technologies in the banking sector has introduced challenges regarding the security and privacy of sensitive financial data. The proposed innovations and technological developments will […]

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The Smart Bed Co-Innovation Project: An Industry-Partnered Initiative to Improve Patient Experience, Quality of Care, and Staff Workload Using Emerging Non-Intrusive Technologies

Information technologies that can provide health professionals detailed patient information in ‘real time’ can improve patient experience, quality of care, and staff workload. However, to date, Canada’s health care system has been challenged by limited adoption and implementation of new information technologies that hold great promise for achieving health system transformation. To address these challenges, […]

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Developing an Intelligent Conversational Agent Architecture related to the Banking Domain

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop […]

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