Nowadays, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

The aim of this project is to determine which families are resistant to bacterial kidney disease, a bacterial infection that affects both wild and farmed Atlantic salmon. To do this many families of Atlantic salmon from a commercial aquaculture company are to be purposefully infected with the bacteria that causes the disease to establish which […]

Currently there are no effective tools to capture and measure return on investment (ROI) in social media in conjunction with more traditional data points that come from sources such as Flyer Tracking and Point of Sale (POS) systems. Using visual analytics techniques, this project will develop and evaluate a set of ROI metrics that will […]

High concentrations of phosphate in the waterways cause algae blooms which are detrimental to water quality and fish habitat. The research project conducted by the Department of Chemistry & Biochemistry and the Upper Thames River Conservation authority, is attempting to alleviate this problem by chemically altering sawdust so that it can act as a phosphate […]

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system. The University of […]

Heterogeneity of cell populations is a common occurrence in bioreactor operations (Lara et al., 2006) and is typically caused by processing of cell cultures in vessels of varying sizes and process conditions and by deficient mixing. Most bioreactor research deals with average conditions of the cell population with respect to quantities such as dissolved oxygen […]

The efficient monitoring of soil and crop parameters is essential for crop stress evaluation and yield forecast in agriculture, yet most remote sensing studies focus on regional-scale soil and crop parameters estimation using satellite data. Satellite remote sensing is difficult to obtain both high spatial and temporal resolution data with a low-cost in field-scale. Currently, […]

With limited global resources, it is important to develop sustainable, greener chemistry. One approach to addressing this problem is to utilize chemical feedstocks from naturally occurring sources, such as plants. This project focuses on the development of sustainable dyes, as synthetic versions have recently begun to fall out of favour globally, whether the reasons for […]

Ginseng is a medicinal plant widely used for the treatment of various conditions, and there are two major species: Panax ginseng (Asian ginseng) and Panax quinquefolius (American ginseng). The medicinal properties of ginseng have been attributed to two main classes of chemical compounds: ginsenosides and polysaccharides (PS). We have recently developed an encapsulated PS nanoparticles […]

The proposed research project targets anomaly detection of event data. The project has a duration of six months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply them to […]

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, […]

Machine learning is a discipline of teaching computers repeatable tasks that humans do well but slowly. At Interdata we are on a mission to use Artificial intelligence to understand the data being stored by organizations and the relationships between those data assets. As such Darrell will be working on methodologies and tools to expand our […]