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 […]

TurnMeUp is an iOS app for always-on voice communications. Users leave the app running in the background and can talk to the recipient (also using the app) at any time. This app is especially useful for coworkers listening to their own music in the background without needing to enter and exit voice call sessions manually. […]

Blockchain is an emerging technology that has the potential to change the way financial participants transact with each other. It enables direct transfer of value and financial assets between participants over networks without the need for a central authority (internet of value). It does this by combining the functionality of different technologies – distributed systems, […]

The intern will analyze pre- and post-training survey and interview data from the SARE Centre’s EAAA Train the Trainer workshops in order to improve the quality of this training. These surveys/interviews assess trainees’ previous experience, skills, knowledge, and confidence in relevant areas as indicators of the workshop’s effectiveness. The intern will also conduct exploratory research […]

Sitting can become particularly problematic when individuals remain in a fixed position for a prolonged period of time. Pressure can develop in the areas of the body that are compressed by the seat, which can lead to a significant reduction in blood flow to the surrounding tissues. As a result, seat adjustability becomes necessary for […]

The goal of this project is to develop instrumentation and software that will enable more efficient and safe mining practices. We will focus on the development of (1) vision-based instrumentation; (2) methods to increase situational awareness; and (3) techniques for automated data acquisition. This research will result in the design of a prototype vision system […]