Our proposed research is to measure soil erosion and runoff in the field and use it to calibrate water runoff models. The approach is twofold: a) Use of field data for to determine runoff rates and nutrient loading and b) use high resolution non-destructive methods to monitor water runoff after a precipitation event through unmanned […]

Nowadays, we have gaps between job market demands and competencies that students acquire during their university studies. Course curricula in many cases lack practical content that is relevant for employers. With advances in data analytics algorithms efficiency and with automatic data collection from online resources such as online job postings and surveys, we plan to […]

Endocannabinoids are compounds produced by the human body that bind to and activate cannabinoid receptors. There are two major endocannabinoids: anandamide (AEA) and 2-arachidonoylglycerol (2-AG). Both play a role in regulating the firing of brain cells in the nervous system and attenuating immune system responses. As such, the endocannabinoid system is implicated in several clinically […]

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the […]

The rise of pathogens increasingly resistant to all known antibiotics is becoming an alarming and pressing health care problem. Despite considerable efforts towards finding new antibiotics with novel targets; bacteria will eventually develop resistance against these new classes of drugs. Designing alternative therapeutics with much improved efficacy?without conferring further resistance?is therefore warranted. My research proposal […]

Over the past few years Cannabis has gone through a revolution with respect to its applications to both the medical and recreational markets. For legal reasons, much Cannabis genetics has been hap hazard but now with legalization scientific approaches can be used to develop useful Cannabis strains for the industry. In this proposal, we will […]

This project is addressing a deficit in the long-term valuation space for robust mathematics. Current techniques rely on very basic statistics and manually constructed spreadsheet models. This represents significant operational risk to investment firms. This project will seek to, using machine learning, develop accurate forecasting models for the financial fundamentals of companies in order to […]

In order to improve athlete performance and maintain health, it is crucial to find a balance between training/competition demand, and the stress experienced by athletes. To improve performance, training and adaptation is necessary, but it is also crucial to consider how much training and competition an athlete can handle before it becomes harmful to their […]

Qubits are fundamental units for quantum computation. Photonics is a promising physical medium to realize large-scale quantum computation. One proposal to realize photonic qubits was proposed by Gottesman, Kitaev and Preskill (GKP). Here, the logical qubit is encoded into states of a bosonic mode or a quantum harmonic oscillator. It is expected that such a […]

Polymer translocation is the process by which a long polymer molecule is forced to move through a nanoscopic hole in a wall in order to move from one side of the wall to the other. Many lower-resolution devices can be built using the general idea of forced polymer or macromolecule translocation, e.g. in the fields […]

From infancy to old age, individuals experience massive changes in both behavior and brain function. The worldwide increase in human life expectancy along with population aging highlight the need to investigate and better understand the dynamic relationship between cognitive health and aging. In order to promote productivity, sustained sense of well-being and social engagement, and […]

Top-down control in ecosystems helps maintain ecosystem stability and resilience; however, anthropogenic stressors, such as commercial fishing, have led to the global decline of apex predators. There is a growing recognition that the indirect effects of predators on prey (eg. fear-mediated behavioural responses) could be just as important as direct consumption. For instance, apex predators […]