Process and product development of NaquapureTM, a sustainable novel nanotechnology for the removal of heavy metals in industrial wastewater

NaquapureTM is a magnetic chitosan nanoparticle which removes heavy metals from wastewater using nanotechnology and a magnetic field to separate the nanoparticles with adsorbed heavy metals from the water. Although this technology has been shown to be effective there is missing information needed for NB-BM to finish product development. For instance, heavy metal removal using […]

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Development of Natural Antimicrobial Formulations for Food Safety

An increasing number of consumers favor minimally processed products from natural ingredients for reducing the intake of chemical additives from food products. One of the major problem for the food industry is the lack of natural additives. The main objective for this research is to develop and optimize natural, safe, effective and affordable antimicrobial additives […]

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Exploring home range and habitat use during the breeding season of the Bicknell’s thrush (Catharus bicknelli) in New Brunswick Clear-cuts

The Bicknell’s thrush (Cathurs bicknelli) is a rare songbird with the most restrictive breeding range in North America. The Bicknell’s thrush spends its summer months breeding in high elevation, stunted growth forests – a habitat that the species specializes in. In New Brunswick, there has been a documented population decline of 11.5% per year since […]

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Intelligent control strategies for the Industrial Internet – Phase II

This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these […]

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SIEMENS Perceived Value of Energy Consumers Project: Research and Development for Modeling the Perceived Value of Energy Consumers

Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed. Various dependencies between […]

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Optimization and Control of Ozone Use within Recirculating Aquaculture Systems

Recirculating aquaculture systems are indoor, tank-based systems which allow aquaculturalists to raise fish in controlled environmental conditions through the use of several water treatment processes. Research related to the aquaculture industry is important, as it is currently one of the fastest growing food industries. This research aims to improve the operation of these systems by […]

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Improving the Performance of Java Virtual Machine (JVM) Garbage Collection using Transactional Memory

As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing […]

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Production Line Packaging Sensor Validation and Optimization

This research project brings together current academia and a vibrant, growing commercial enterprise to solve real world problems. The industry partner has recently developed a high-tech, sensor-based diagnostic tool which will be evaluated by the graduate student intern. The capabilities and features of the tool will be extended through the innovative, collaborative design efforts of […]

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Developing a UAV-based camera for precision agriculture

A&L Canada Labs Inc. is developing a UAV (Unmanned Aerial Vehicle) or drone with a multi-spectral camera for various precision agriculture applications. The multi-spectral camera has 6 bands: one in the red band, one in the blue band, one in the green band, and three in the NIR regions. The scope of this project is […]

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Multi-point shear-stress measurements on an impulsively started cylinder

Envenio is a Canadian company that specializes in advanced analysis of fluid dynamics and fluid structure interaction in the technological and environment settings. Envenio is also a software development company that owns an advanced Computational Fluid Dynamics solver, EXN/Aero, that uses many core technology in the parallel computation of unsteady and fully turbulent flows. Envenio […]

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