Knowledge Modeling and Product Development for Canadian Indoor Hydroponic Farming

Urban population is facing unprecedented growth resulting in the need for additional agricultural resources. Traditional farming practices seem vulnerable to cater to urbanities’ needs, placing an additional burden on the food and agriculture system. Furthermore, the unsettling environmental impact of traditional farming practices has aroused the metropolitan population to search for alternatives, such as indoor urban agriculture and vertical plant systems. This study aims to address the key issues faced by the Canadian urban population to generate knowledge for indoor hydroponic systems.

Machine Learning for Non-Destructive Testing

IRISNDT deploys customized workflow productivity enhancement apps that are used by technicians in the field when performing Non-Destructive Testing (NDT) and mechanical work. This project will leverage expertise in AI at the University of Alberta to develop and deploy a suite of Data Science and Analytics tools to complement IRISNDT existing capabilities. The project will develop value-added capability that will contribute to IRISNDT maintaining its competitive edge and reputation as a leader in its field.

Applying artificial intelligence to develop non-surgical treatment protocols for patients with adolescent idiopathic scoliosis

Adolescent Idiopathic Scoliosis (AIS) is a 3-dimensional structural spinal disorder that develops during the pre-pubertal growth spurt. There is a relatively short window for non-surgical treatments to be effective. Specific exercise and brace treatment are the most commonly used methods. Currently, there is no standard and no scientific protocol that can assist clinicians for an optimized non-surgical management of AIS.

Improving cycle life of Tin-based anodes in Li-ion batteries

The next generation metal-based anodes will play a decisive role in the development of not only Lithium-ion batteries, but also the renewable energy sector. This research project is anticipated to improve the cycle life of existing Tin-based anodes and bring them one step closer to commercialization. Our objective is to identify, isolate, and mitigate factors that decrease the cycle life of metal-based anodes, and improve the cycle life by modifying the anode structure. The success of this project will accelerate the technology commercialization of the partner organization.

Frailty risk detection from primary care electronic medical records

Older adults with frailty are at high-risk of declines in their health and do not bounce back as well as their non-frail counterparts. These patients are among the highest users of health care because they end up in crises and go to emergency, are hospitalized, or die. But, if frailty is detected and managed earlier, before negative events occur, it can improve patient outcomes and decrease health system costs. Currently, frailty detection relies on tools that take added time and resources that family doctors do not have.

Development of Mass Spectrometry Methods for Global Tissue Metabolome Analysis

Metabolomics is a rapidly growing field involved in detecting and characterizing all the metabolites present in a biological system such as blood, urine, cells and tissues. Metabolomics has been increasingly used in many different areas of applications, including the discovery of metabolite biomarkers for early diagnosis or prognosis of diseases, holistic study of biological systems (often in combination with genomics and proteomics), developing improved strains of crops or plants for increasing yields with higher tolerance to cold and resistance to drought or insect pests, etc.

Efficient and Resilient Smart Grid Modeling and Operation Approaches in a Smart City Environment

RUNWITHIT Synthetics Inc., University of Alberta, and the interns in this Mitacs project will use synthetic modelling to design, optimize and trial approaches for improving the efficiency of resilience investments in technology, grid management and infrastructure. Under many different circumstances, including both natural and human-made disasters such as earthquakes and cyberattacks, traditional grids are vulnerable and the impacts on public health, safety, and productivity are significant.

Silicon Nanoparticle and Cellulose Nanocrystal Reinforced Polymer Composites

Cellulose and Silicon are two of the most abundant natural materials in the world, thus it is only “natural” to combine the two materials. Specifically, cellulose nanocrystals (CNCs) have been attractive sustainable additives for the mechanical reinforcement of polymers and silicon can be easily converted to silicon nanoparticles (SiNPs) for use in biosensing, coatings, and used as quantum dots in optical films, and medical and display applications.

Engineered Polymers for Nucleic Acid Therapies: Phase 2

Nucleic acids such as DNA and RNA offer exceptional opportunities to fight against cancers. To use nucleic acids effectively in a clinical setting, one needs to use effective delivery vehicles that can deliver the nucleic acids into the diseased cells. This project will develop effective delivery systems for this purpose. The delivery systems will be used to deliver RNA based therapeutic agents in 2 diseases, namely in solid cancers such as breast/lung cancers and in hematological cancers.

Innovative hybrid carbohydrate and lipid-based nanomedicines for gene delivery

Genes are input signals that command the cell to synthesize specific proteins to have the specific cellular functions as outputs. Thus, by adjusting the gene expression, desire/unwanted cellular function can be added/eliminated. Gene therapy acquired significant attention as it relies on using exogenous nucleic acid to add/regulate specific gene expression thus this novel therapy possesses tremendous potential to be used in cancer management, treating hereditary diseases, and vaccines.