Grants and Contributions

Development of new data architecture and enhancement of system components to meet the needs of evolving requirements and technology.

To develop an all-electric transport refrigeration system to be used for freezer applications < -20°C.

Engage and collaborate with external (to MDI Solutions) standards expert(s) to gather the knowledge required to build/incorporate the FHIR data standard into MDI’s integration engine software, MD Link.

Assess and improve the resilience of the cloud-based infrastructure to withstand mass surges in public facing patient encounter volume by performing rigorous testing simulation scenarios until architecture failure in controlled staging deployments.

Germany BMWi ARIBIC consortium project led by KION Group (Germany) titled “Artificial Intelligence based Indoor Cartography”.

This Project proposes a modeling platform to quickly explore vaccine designs using simulation and Machine Learning algorithms. A recently developed base model describes the life-cycle of the virus and includes a general immune response. Extension of the model to study pathogen mutation and ‘viral fitness’ is currently underway. The main focus of the proposed work will be the development of a complementary mathematical model that rigorously describes the host immune system to elucidate the complex interactions between interferon signaling pathways and the adaptive immune response to SARS-CoV-2 infection. Collectively these models will be crucial to defining vaccine strategies, and will provide a qualitative and quantitative platform to test and guide vaccine development.
Since December 2020, there has been a few new strains of the coronavirus. Namely the UK (SARS-CoV-2 VOC 202012/01) and South Africa strain (501Y.V2) are among the more prevalent. The UK strain has already spread to Canada. The current vaccine was not developed with these new strains in mind. For that matter, further mutation of the virus can be anticipated. The current distributed vaccine that was approved in the interim is a mRNA based vaccine. While this vaccine completed clinical trials overseas, it was not tested in Canada and Health Canada have an interim approval due to the emergency. There are many vaccine candidates using other technologies that are currently in development in Canada and overseas such as instance Providence Therapeutics, Medicago, and VBI. This Project proposes a modeling framework that can be applied to test new candidates and compare to those that have been approved/distributed in Canada.
There are significant values in testing vaccines against new strains of the virus and optimizing current vaccine design against new strains. The Project’s mathematical model can be quickly modified to rapidly address the new challenges SARS-CoV-2 variants pose.

The R&D Engineer will develop a mercury-free UVC light technology prototype to advance CleanSlate's product portfolio.

Creation of cloud based software. This will be comprised of a unique set of variables which our current models and testing has been proven to provide an autonomous methodology for livestock feed consumption and weight forecasting.

To understand the root cause of cell bloating, identify any design limitations, and develop proprietary mitigation strategies.

PENTA project 20008 AI-SEE led by Mercedes-Benz (Germany)
This project encompasses Algolux’s contribution to the AI-SEE Eureka PENTA-EURIPIDES2 Cluster project to provide technology and expertise in the areas of deep learning AI algorithms and the fusion of data from distinct sensor types, thereby enabling a more robust perception platform to enable automated driving in all visibility and weather conditions.