Development of skin-humanized mouse model for psoriasis

The objective of my research is to generate self-assembled artificial skin and humanized mouse model for study of various skin diseases. The artificial skin is made using human derived skin cells, which are then grafted to mice. This humanized mouse model is most similar to the environment in the human body, and the self-assembled artificial […]

Read More
Visualization of Single and Multiphase Flow in Porous Media

Unconventional hydrocarbon require novel technologies to improve the recovery factor of the vast reserves in North America. An alternative to increase the reserves is enhanced oil recovery (EOR). EOR is a technique that reduce capillary effects and/or improve the mobility ratio by the injection of materials not normally present in the reservoir. This summer research […]

Read More
Utilizing Terrestrial Laser Scanning to extract lianas in tropical forests.

Lianas are an important group of structural parasitic plants found in tropical forests across the globe. These parasitic plants use the trees to climb into the canopy, which they then come to dominate and overtake. The occupation of lianas in the canopy results in multiple negative effects for tree fecundity, survival, and carbon sequestration capabilities. […]

Read More
Iterative learning control to cancel beam loading effect in particle accelerators

Iterative learning control (ILC) is an approach to improve the performance of a system that carries out the same operation repeatedly. It stores error and control output throughout every iteration, and incorporates the stored information into generating new control output. In a cavity resonator, a standing wave electromagnetic field is formed to accelerate charged particles […]

Read More
Brain-Inspired Artificial Intelligence for Sound-Aware Robotics

The lack of robust sound awareness in robotics and autonomous machines is a crucial limiting factor in their usefulness and adoption. Taking a biologically inspired approach offers novel computational mechanisms to solve a variety of challenges in this field. The primary objective of this proposal is to finalize and evaluate a Bayesian auditory artificial intelligence […]

Read More
Innover en acrobatie au trampoline pour Paris 2024 par la synthèse optimale et un simulateur en réalité virtuelle

Le Canada est un leader international en trampoline depuis plusieurs olympiades. Afin de maintenir ces performances, il convient d’innover dans les techniques des saltos vrillés. En collaboration avec l’INS Québec, nous allons créer, pour des trampolinistes, une variété de techniques optimales de vrilles aériennes au moyen de simulation informatique. Le défi est de développer 1) […]

Read More
Dairy Policy and Dairy Cooperatives in Germany

The student’s PhD research focuses on the relationship between the dairy policy and dairy cooperatives in Germany in the context of agricultural industrialization and globalization. Traditionally, dairy cooperatives and producers were regarded as “sitting in the same boat” because dairy cooperatives are owned by producers and help producers collectively bargain to gain a fair price […]

Read More
Ionization instabilities in partially magnetized plasmas

Plasma is a gas of charged particles which is the most common state of the matter in the visible universe. It is also widely used in laboratory and industry for numerous practical applications such as plasma processing devices, spacecraft thrusters, and future fusion reactors. Therefore physics of plasmas addresses a number of fundamental problems such […]

Read More
Bitopic A1 Adenosine Receptor Ligands as Cardioprotective Agents

Adenosine is a naturally occurring molecule that is found in many living systems that can be used as to slow rapid heartbeat and other ailments. Its efficient use as a medication depends on adenosine receptors present on many tissues within the human body. This family of receptors consist of four subtypes with the A1AR subtype […]

Read More