Accelerated development of a recombinant protein vaccine against COVID-19 by integrating the SARS-CoV-2 S-protein antigen with a new delivery system

The objective of this proposal is to develop a new candidate recombinant protein vaccine for the new coronavirus disease 2019 (COVID-19) based on a novel protein delivery and adjuvant technology, iPDT. If successful, this research will advance another COVID-19 vaccine candidate(s) to the pipeline toward clinical use. The causative agent of COVID-19 is SARS coronavirus […]

Read More
Evaluation of terminal complement cascade inhibitors using in vitro and in vivo models of age-related macular degeneration and in Alzheimer’s Disease

Age-related macular degeneration (AMD) is a leading cause of blindness that is estimated to affect over 6 million people globally. There are currently no approved treatments for dry AMD, the most common form of the disease. Various lines of inquiry suggest that dysregulation of a part of the innate immune system called complement plays a […]

Read More
Towards an Elastic and Reliable Cloud Resource Management

This work is a holistic automatic methodology for cloud resource management system, which is a corner stone to build any cloud system. Cloud players rely on this to reduce management effort and cloud running cost, by enabling dynamic service access to cloud clients with cheapest price for customer, and high revenue for cloud providers. Customer […]

Read More
Design and Validation of an Ear Canal Simulator for EVestG Evaluation

Electrovestibulography (EVestG) is a novel neural diagnostic tool to identify various neurological disorders. The signal amplitude of interest in EVestG recordings is in the sub ?V range; therefore EVestG demands a very low noise signal acquisition protocol. The proposed research is to design, develop and validate an artificial ear-canal that simulates the electrical noise conditions […]

Read More
Combination of multi-horizon models for demand forecasting

This project aims to develop a retail demand forecasting model that can both handle the long-term and short-term forecasting, and adjust its parameters as more data come in. General long-term prediction models are relatively precise because the context often remains same over time, but can not quickly adapt to unforeseen events, like the global pandemics. […]

Read More
Marketing Intern

deepND’s talent optimization platform helps hourly employers predict better hiring outcomes and retain their hourly employees longer with specific, individualized recommendations based on people science & artificial intelligence. The Marketing Intern is responsible for developing and executing a multi-channel B2B marketing strategy and building the brand from its current position. These overarching goals will be […]

Read More
Investigation of effectiveness of sewage-based activated carbon (SBAC) for removing poly- and perfluoroalkyl substances (PFASs) from aqueous environmental media

Poly- and perfluoroalkyl substances (PFASs) are groups of contaminants that have received much attention due to their frequent detection in the environment and potential adverse health effect on humans and animals. PFASs can be removed from water using adsorption processes. Adsorbent produced by pyrolysis of sewage sludge (SBAC) offers a promising sustainable solution for removing […]

Read More
Énergie transactionnelle et client participatif : portrait des initiatives extra-Québec

Partout à travers le monde, le marché de l’énergie se renouvelle constamment afin d’assurer une bonne efficacité et fiabilité. Qui plus est, des citoyens choisissent d’être plus proactifs et autonomes par rapport à leur consommation d’énergie en la produisant eux-mêmes (prosommateurs). Parmi les stratégies émergentes sur le marché, les échanges d’énergie en pair à pair […]

Read More
Exploring the state of the art deep learning algorithms in computer visionand voice recognition for applications in RF signal processing

Drones popularity has been rapidly increasing for a wide class of applications including commercial delivery, photography, fire-fighting and environmental monitoring due to their low cost and high commercial availability as unmanned aerial vehicles. In the light of this growth, anti-drone technology has become a significant research topic of investigation due to unauthorized flying of drones […]

Read More