The NOVA program for early career researchers is a grant program to support research projects led by early career researcher from Quebec. The program is offered jointly by the听听(NSERC) and the听
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Faculty Professors were successful in the NSERC/FRQNT NOVA joint funding program competition. Assistant Professor Elizabeth Zimmermann was awarded a grant for her project 鈥楳echanical behavior and sustainability of green concrete made from green cement reinforced with functionalized recycled plastic鈥檈arly career researchers. The award is $225,000 over three years plus $50,000 in equipment. Professor Marc McKee was a co-applicant and received $248,400 over three years for the project titled 鈥楿psampling of low-resolution/large-volume 3D tomographic images using generative adversarial neural networks applied to biological anthropology, medical imaging and evolutionary biology鈥�. Dr. Didem Dagdeviren is also a collaborator in this project.听
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Mechanical behavior of green concrete made from green cement reinforced with functionalized recycled plastic:
PI: Elizabeth Zimmermann
Co-PI: Marta Cerruti, 成人VR视频, Hamid Afshari, Dalhousie University
Collaborator: Faleh Tamimi
Summary: The overarching objective is to develop concrete with greater sustainability and lower environmental impact: green concrete. We bring together researchers from materials science and bioengineering for a fresh perspective to this materials design problem, combined with a PI from industrial engineering to assess the design鈥檚 social, economic, and environmental impact. Here, lessons learned from the natural design of biological materials are applied to concrete. The components and structure of biomaterials and tissues parallel concrete: Concrete is made with calcium silicate cement (Portland cement), whereas many biological materials and tissues contain biominerals, such as calcium phosphates (bone, enamel, fish scales), calcium carbonates (nacre, coral, eggshells) and calcium silicates (radiolaria). Whereas concrete in structural components is reinforced with steel, biological materials and tissues have an organic component, such as collagen, providing toughness and ductility. This organic component can take many forms from the Bouligand structure in armorlike fish scales to organics within and between calcium carbonate grains in seashells. Similarly, both concrete and biological materials combine these biominerals and reinforcements to produce a composite material with better mechanical properties than their constituents alone.
Upsampling of low-resolution/large-volume 3D tomographic images using generative adversarial neural networks applied to biological anthropology, medical imaging and evolutionary biology
PI: Natalie Reznikov
Co-PI: Marc McKee and Nelson, A.
Collaborator: Didem Dagdeviren
X-ray based 3D imaging methods are important in the clinical fields of medicine and dentistry, and they are a cornerstone research method in biomineralization, skeletal biology, biological anthropology, and medical and dental radiology, amongst others. This project aims to revolutionize the field of bioimaging by using deep learning neural network-based tools to develop a new upsampling algorithm to significantly enrich information available from X-ray-based computed tomography including cone-beam CT scans. This will be implemented by augmenting the resolution of large-volume data with simultaneous 3D image segmentation, the latter being a crucial prerequisite for quantitative bioimaging research.
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