With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which […]

Systematic reviews are a type of research that collect and assess relevant information for a specific research question. However, they can take up to two years to complete. In situations with time constraints or limited resources, rapid reviews can provide decision-makers with evidence. Rapid reviews use modifications from systematic review processes, called trade-offs, resulting in […]

Intelligent health-conscious battery management system (BMS) and advanced battery thermal management systems (BTMS) are essential to improve performance of energy utilization, safety, and cycle-life. Improvement in the energetic performance on all these levels encourages integration and development within the full thermal installation. This project will look at Artificial Intelligence (AI)/Machine Learning (ML)-based intelligent state estimators […]

This research project aims to create an Intelligent Query and Learning System (IQLS) that can integrate knowledge from multiple sources such as documents, web pages, voices, input texts, images, and videos. The IQLS will use learning and reasoning techniques to update the knowledge structures dynamically and allow multiple users to integrate their knowledge packages and […]

Machine learning attempts to model high-level abstractions in data using multiple processing layers with complex structures or non-linear transformations. Federated learning is a distributed machine learning approach that allows multiple parties to collaborate on training while preserving user data privacy. However, the data from each party is typically non-independent and identically distributed (Non-IID), which can […]

In 2018 the Region of Durham created the Durham Community Energy Plan (DCEP), Durham Region’s strategy for reducing greenhouse gas emissions and transitioning to a green economy. Achieving the goals of the DCEP will provide multiple economic, environmental and social benefits to Durham Region. Successful implementation of the DCEP however will require collecting and reporting […]

Prototyping of HEV powertrains is cumbersome, expensive, and time-consuming. Thus, design optimization is the most feasible alternative process for accomplishing a good design. This project will identify key system components and develop a high-fidelity model of the hybrid drive train capturing key dynamics. Modes such as engine mode, motor mode, hybrid-parallel mode, regenerative braking mode, […]

Increasing our knowledge of Canada’s lakes and rivers is essential to maintain healthy aquatic ecosystems and to ensure human enjoyment of these waterbodies. This project will work with the local Indigenous community, Mohawk Council of Akwesasne, to better understand trends in nutrient levels along the Upper St. Lawrence River. Human activities, including agriculture, industry, and […]

When introduced to a region, non-native invasive species often have negative consequences for native plants, animals, and humans. When introduced to North America, the invasive zebra and quagga mussels altered the structure and function of native aquatic ecosystems. This caused ecological and economic damage by reducing biodiversity and human uses of local surface waters, respectively. […]

Autonomous vehicles (AVs) will potentially revolutionize the transportation sector. The value proposition of AVs includes improved road safety, increased traffic efficiency, reduced number of accidents, and decreased emissions. AVs heavily rely on the input of various sensors (Optical, Radar, Lidar, etc.) to capture environmental and traffic data. Clear sensor vision under all vehicle operating conditions […]

An analysis is to be conducted to investigate the integration of a hybrid power system for a small unmanned aerial vehicle (UAV). A hybrid power system is proposed as a substitute to the existing batteries to enhance the endurance of UAV systems. A UAV with flexible PV?panels and a proton exchange membrane fuel cell is […]

This project aims at upgrading and automating some of the existing methods used at Myant to manufacture, assemble, and test smart textiles. The candidate will use their engineering knowledge to assess the needs and opportunities for improvements, to design theoretical solutions, to prototype and test these solutions, and finally to prepare an industry-grade version of […]