Design and fabrication of a power-efficient AI-Processor for Edge computing

This project will allow us to develop a microelectronic chip prototype of an energy-efficient AI processor. The AI processor exhibits a 1000 times reduction in power profile compared to standard cloud-based GPUs. Tasks that can be transferred from server GPUs to this solution and deploying our AI-Processor solution to EDGE can estimate substantial energy savings […]

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Ultra-low-power sensor interfaces for next generation IoE

This research project aims to improve the quality of life and facilitate the early detection of some health conditions by enabling wearabale devices that have a very small form factor, are highly reliable and provide continuous health tracking and monitoring. The ultra-low-energy consumption of the electronics designed in this project extends the battery longevity of […]

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Detecting noise and artifact in CW ultrasound signal processing using machine learning and cloud-based tools

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

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Conditional Flow-based Speech-Driven Gesture Synthesis

Speech-driven gesture synthesis is the process of automatically generating relatable and realistic gestures given speech and high-level attributes such as speaker’s style. It is an active research area with applications in video games, animated movies, communicative agents, and human-computer interaction. Commonly, a database of gestures is manually created which are then triggered at different times […]

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High-fidelity, Directable Animation Transfer for Dubbing

The entertainment industry delivers media products around the world to people speaking a large number of distinct languages. To accommodate different languages, the producers typically re-generate the sound stream in different languages in a post-production step, but they leave the same video footage resulting in the desynchronization between the audio and video content, creating an […]

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HypeBite Strategy AI

The project is to build the plan of AI implementation to be integrated in our technological solution. HypeBite provides solution for food industry designed to optimized food marketing. The solution aims to help consumer to reduce food waste and agri-food business to independently promote their products. Our team needs to integrate technical knowledge and collaborate […]

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Ensuring Stability and Accuracy of Multi-rate Electromagnetic Transient Simulation

Real-time digital power system simulators are used for testing and debugging control equipment intended for field installation. They simulate the power network in ‘real-time’, i.e., the simulation computations are rapidly completed so as to retain synchronism with a real-world clock. This requires the level of complexity in different components of the network to be judiciously […]

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Oblivious IDS using Homomorphic Encryption

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as […]

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Canadian Optical Satellite Communications Consortium Technology Roadmapping

As part of the Optical Satellite Communications Consortium (OSC) and in partnership with Satellite Canada Innovation Network (SatCan), this two and a half year project will build towards developing a new Technology Roadmap for emerging optical technologies applicable for future satellite communications (SatCom) developed in Canada. Graduate students from the University of Ottawa will intern […]

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