The main objective of my research is to use spatial dynamic models (a combination of Cellular Automata model and Agent-Based model, short for CA-model and AB-model) to simulate future scenarios of tropical forest in the Guanacaste region, Costa Rica. It is a multi-layer model, including three layers. The top one is CA-model layer, and it […]

Plants are an essential part of our day-to-day lives. They provide us oxygen to breathe through photosynthesis, food and drugs for human health and well-being in addition to many materials and products for everyday use across Canadian society. For plants, light is a central to their growth, development and survival, rendering our understanding of how […]

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

Utilizing geomatics sensors such as laser scanners, GNSS, Inertial Navigation Systems (INS), and photogrammetry cameras to provide mobile mapping solutions has been studied and utilized extensively in the past three decades. The data fusion between high-end mobile mapping systems such as laser scanning and imagery-based systems, and low-cost camera systems are still a fertile field […]

Having more stable soil organic matter (SOM) in a land use systems means that less CO2 maybe emitted per unit area of land when the land is subject to an increasing temperature (global warming). The objectives of the project are two-fold: 1) to analyze short-term biological SOM stability in hedgerow and shelterbelt agroforestry systems, and […]

Current assessment tools for teamwork are based on subjective assessment forms in general, objectively assess teamwork is a challenging task in the operating room. Laparoscopic surgery is a type of surgery that requires the surgeon and assistant to work cohesively, since the surgeon’s view is provided by the assistant consistently maneuvering the camera. We used […]

The emerging techniques of machine learning and artificial intelligence are making revolutionary changes in all kinds of the industrial world. As a high-tech business solution company, Quartic.ai uses these modern techniques to help industrial manufactory companies work more efficiently. One of the challenging problems is to make the computer automatically recognize the status and behavior […]

This project seeks to develop a mental skills training program for kids in youth hockey. The first part of the project will involve reviewing the literature to find out what is knows about mental skills in kids. We are interested in seeing how kids can use mental skills in sports and hockey and if certain […]

This research project aims to evaluate whether members of minority groups or women face higher barriers to access credit in the small and medium-sized enterprises credit market. The intern will analyze loan-level data provided by the business partner to evaluate whether these biases are detectable in the portfolio of SME loans of the business partner. […]

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed […]

Besides sport activities, active wear has found its way into people’s routine life because of its fashionable appearance and comfort. Active workwear is also preferred for some jobs with strenuous activities, like operators working in factories or construction fields. Each of these environments has its own list of hazards, such as fire, chemical spills, or […]

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in […]