Processes are important concepts in modern society since they control and standardize the interactions between businesses, consumers, governments and other organizations. However, the rise of knowledge-based industries such as financial services, healthcare, advanced manufacturing and software development have produced unstructured and knowledge-dependent processes. These Knowledge Intensive Processes (KIPs) KIPs range from partially structured to unstructured […]

Haematococcus pluvialis is a green microalga that concentrates the compound astaxanthin, a commercial product with nutraceutical, pharmaceutical, cosmetic, aquaculture, and food applications. Astaxanthin is a carotenoid pigment with high antioxidative activity, used as a feed additive to provide a characteristic pink color to salmonids and shrimp, as well as a human nutraceutical providing protection from […]

Driven by climate change induced water scarcity, further enhanced by rapid urbanization and population growth, potable water reuse initiatives are gaining interest. Potable reuse involves the indirect or direct use of highly treated municipal wastewater as a municipal drinking water source. Historically, the most commonly installed potable reuse train consisted of microfiltration, reverse osmosis (RO), […]

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]

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 […]

Atlantic salmon and its associated fisheries have a rich and complicated history in Nova Scotia. Commercial and recreational overfishing, as well as habitat damage and environmental pollution have all contributed to the species’ decline. For a century, work on rebuilding populations has met with varied successes. This history, and relative successes of different measures, will […]

As the dominating power supplies for current electric vehicles (EVs), the state-of-the-art LIBs are yet sulfuring from severe challenges in terms of safety, lifespan, and energy density due to the adoption of liquid electrolytes (LEs). Accordingly, developing next generation solid-state lithium(-ion) batteries (SSLBs) is considered to be a feasible approach to achieve safe and high […]

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 […]

Natural channel design practices are continually evolving, but monitoring the performance and success of these urban river engineering projects is often limited to sparse point measurements of streamflow, stream morphology, and species inventories during the 2 – 5 years following construction. The result is relatively few data on the overall performance of natural channel design […]

Mannarino Systems & Software Inc. is currently developing M-RTOS, which is a Real-Time Operating System (RTOS), designed specifically to meet the requirements of the aeronautical industry’s ARINC 653 Avionics Application Software Standard Interface specification, and supporting a wide range of avionic systems. Throughout this phase of the project, the Concordia partner will provide a synthesis […]

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 […]

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]