This project will deal with the detection, the fractionation and the quantification of selenium in its many forms (elemental form or in the form of selenide (Se2-), selenate (SeO4 2-), or selenite (SeO3 2-)) in mining waters. Dissolved and total recoverable Se will be quantified by inductively coupled plasma mass spectrometry (ICP-MS). Quantitative Se speciation […]

Supplying cannabis, and cannabis products, to a legalized retail market represents a major economic opportunity and has been identified as a growth opportunity under New Brunswick’s Economic Growth Plan (Province of New Brunswick, 2016). Indeed, the retail market value for recreational cannabis in Canada is expected to reach $8.7 billion annually (Deloitte, 2016); however, current […]

Steam injection in-situ bitumen/heavy oil recovery processes are very energy intensive and generate a significant amount of green house gases. The use of solvents may be the ultimate in reducing the energy input for in-situ bitumen/heavy oil recovery. However, the solvent processes, tested in the field, have not demonstrated to be economical thus far. Hence […]

Western Canada has vast heavy oil deposits in many thin heavy oil reservoirs with less than 10-m main pay zones. The cold heavy oil production with sand (CHOPS) is the primary production process in the heavy oil reservoirs. However, a typical CHOPS process can recover only 5?15% of the initial oil-in-place. As a secondary heavy […]

It is extremely important to preserve privacy of our citizens. One way to do it is to detect private information in the document and to indicate to owner of the documents that the documents contain privacy information. In order to develop machine learning algorithms to detect privacy data in the documents, the algorithms need to […]

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

Advances in quantum computing have Entrust Datacard and their customers concerned about whether the industry is ready to move to post quantum cryptographic algorithms, particularly for PKI use cases. Entrust Datacard and University of Ottawa will test the quantum-readiness of commercially-available PKI. The end goal is to provide guidance to the community about the impact […]

Portable Document Format or PDF is the de facto standard for presenting textual-visual content. In this project, we aim to develop a machine learning framework for PDF document understanding. Despite the recent proliferation of deep learning-based methods for the analysis and processing of natural images, there have been considerably less efforts on designing similar approaches […]

In Montreal, pavement distresses are causing serious problem to the road network with more than half of the road considered in a bad and a very bad shape. Many pavement inspection methods are developed in order to inspect, detect, locate, and classify pavement distresses; however, these methods are not efficient in term of time, cost, […]

This project will develop and test a geospatial data management system for land surveyors. The system will of a mobile client for data collection and a web service that integrates and stores the data long term. Data processing will use the most accurate geodetic techniques to ensure data quality and optimal data integration strategies will […]

In the past decade, the development of sophisticated sensors attached to animals (tags) have researchers to infer of horizontal and vertical movement of marine animals across time and space. The amount of data collected from these tags along with the analytical challenges surrounding the extraction of behavioural patterns has presented a significant barrier for researchers […]

Increasingly, cyber threats evolve targeting companies, industries and governments. As defense systems are strengthening, threat actors developed new tactics, strategies and techniques to break down security perimeters. Generally, the security of the perimeters are enforced by multiples intrusion prevention and detection tools responsible to provide proactive insights, real-time insights and operational insights for the detection, […]