Small modular reactors have been identified by the Canadian government as a "source of safe, clean, affordable energy [...] for Canada and Canadians". Several of these reactor concepts rely on molten salt heat exchange loops, rather than traditional water-based heat exchangers. A key issue is that molten-salt driven corrosion is much less understood. This is of prime importance for the three main industry partners the Canadian Nuclear Laboratories, Ontario Power Generation, and Global First Power which are involved in the design, planning and construction of Canada's small modular reactors.

Detection of disease or conditions in our body uses medical diagnostic devices in big laboratories with high-end and expensive instruments that need expert operators. As an alternative, in-home tests, generally called point-of-care devices, can perform many diagnostics fast, simple, and expensive by everyone. In some cases, microfluidic devices are being used to improve the accuracy and feasibility of the tests.

The aviation industry is a significant contributor to anthropogenic greenhouse gas emissions, and the influence of these emissions is exacerbated by the fact that they are emitted at high altitudes. This project advances the development of fully electric Urban Air Mobility (UAM) systems, which have the potential to significantly reduce emissions relative to existing jet fuel powered aircraft. Unlike conventional aircraft, which use jet fuel-based propulsion systems, UAM is expected to utilize fully Electric Vertical TakeOff and Landing (eVTOL) aircraft.

Heat management in semiconducting nanomaterials requires the design of engineered artificial structures, known as metamaterials, where thermal properties can be tuned almost at will by microstructural modifications. Testing a broad range of nanostructures for the particular device applications, with predictive behavior, is a grand challenge especially because of the difficulties associated with the experimental synthesis of the pristine samples, their char- acterization and property calculations.

According to the existing airworthiness standards, aircraft turbofan engine certification must demonstrate its ability to contain a fan blade should the blade accidentally separate under critical operating conditions. P&WC has established a full engine computational analysis process. In the continuing evolution of this modelling process, several areas requiring improvement have been identified as critical.

The marine environment is arguably one of the most challenging for an Unmanned Aerial System (UAS) to operate in. It has to contend with unsteady ship motion, ship airwake, adverse weather conditions, wet landing surfaces and insufficient sensory cues. Sky Canoe is a Canadian company that is producing an advanced autonomous, zero-emissions and long-range cargo rotorcraft to be safely landed and secured on a ship deck. Sky Canoe and the Applied Dynamics Lab (ADL) at Carleton University have partnered to develop and validate a ship landing system for Sky Canoe’s UAS

The agricultural industry is adopting new technologies in many practices, including automation of routine practices such as milking in dairy or harvesting fruits. These innovations require the development of sophisticated machines and image processing algorithms associated with. This proposed project aims to develop the technology that allows design of a machine and associated algorithms to assess livestock for morphological traits. This innovation allows the farmers to evaluate their animals morphological traits more frequently and on their own.

A new atomizer for vaping devices will be studied experimentally and numerically. The visualization of the flow inside the atomizer microchannels and the liquid film formed over to the top surface of the atomizer (with and without surface heating) will be attempted. Aerosol characterization using Phase Doppler Anemometer (PDA) will be conducted. In addition, numerical studies using VOF (Volume of Fluid) will be performed and validated against the obtained experimental data.

Industrial workplaces can expose physical and chemical hazards to workers, which can lead to health complications in the short term and/or long term. The primary objective of this project is to develop a flexible industrial internet of things (IIoT) kit that is connected to the worker over work-shift to monitor various environmental factors in the workplace that could be potentially hazardous (such as noise, temperature, humidity, vibration, UV, H2S, VCM, VOC, benzene, acetone, ammonia, and etc.).

Remotely Piloted Aircraft (RPA) or drones have numerous applications in different industries. Data-based agriculture is an emerging field that can widely benefit from the drone technology through accurate data collection via drones. However, drones have limitations like short flight time, limited flight range, and they are prone to failure. To mitigate these limitations, we propose using a cooperative group of drones. The resulting parallel operation increases the efficiency and reduces required flight time.