This project aims to simulate the melting of clusters that are important in the field of nanotechnology and catalysis. We will improve the computational efficiency of Parallel Tempering Monte Carlo (PTMC) simulations by integrating GPU capabilities and interfacing with Gaussian software for energy calculations. The project is an essential part of a Ph.D. thesis that […]

The objective of the research project is to study an efficient and fast way to calculate values of some parameters which are hard to be estimated in nature in relation to dengue, they are: the biting rate, probability that a host to get infected, probability that a vector to get infected. These parameters are needed […]

Through a method of mathematical modeling, we intend to obtain essential data to determine the risk of non-immune tourists acquiring dengue during the stay of these tourists in Brazil in the 2014 FIFA World Cup in 12 host cities, and in the 2016 Summer Olympics that is Rio de Janeiro as the host. In 2014, […]

Visceral leishmaniasis is one of the world deadliest and neglected infectious diseases. Therefore, it is important elaborating a good strategic control for this disease. In this project, our general objectives include how to plan the optimization of visceral leishmaniasis control, taking into account the economic approach. This research will not involve experiments and clinical study. […]

ApplyBoard is a Canadian company that offers an artificial intelligence-enabled recruitment platform to help international students apply for post-secondary studies abroad. Embarking on a collaborative venture with York University, this research project aims to improve the application processing framework at ApplyBoard through the integration of advanced AI technologies. By leveraging machine learning algorithms, Optical Character […]

In the last four years, we have seen world youth revolts in the streets, in the home, and in school. The social response, is almost always accompanied by a tone of disbelief. Adults show disbelief with the adolescent’s desire to be plugged in to a device for an unbelievable number of hours. And paradoxically, when […]

In-vehicle networks of modern automobiles, particularly Controller Area Networks (CAN), are vulnerable to cyberattacks which can cause dangerous accidents. There are many CAN intrusion detection systems (IDS) that use different techniques and features. While there are several CAN datasets available from real vehicles and CAN testbeds, we identify a lack of datasets containing signals decoded […]

The demand for wireless power transmission is growing due to the increasing costs of transporting conventional fuels for satellites, drones, and aerospace systems. A promising solution lies in Thermophotovoltaic (TPV) technology, with an impressive system efficiency of around 50%, converting heat from any high-temperature sources into electric power. TPV systems, which are lightweight and have […]

Heart Lake Road (Brampton, Ontario) bisects a Provincially Significant Wetland. Increases in traffic volumes on the road have led to large numbers of road kill during the spring migration. The TRCA has been monitoring the road kill for two years and has found that thousands of frogs and toads as well as hundreds of turtles, […]

Our galaxy the Milky Way and our orbiting companion Andromeda are the dominant members of a small collection of galaxies, the Local Group, which is about 3 million light years across. Recently, it was recognized that the Local Group is simply a mass concentration in a thin “Local Sheet” of galaxies spanning 35 million light […]

Deep Reinforcement Learning (DRL) for robotic grasping has been actively studied in recent years. Each DRL needs a reward function to interact with its environment and figure out how desirable or suitable the actions it takes in each state are. The reward formulation of DRL is usually a linear summation of the reward components, which […]

Understanding the underlying factors that cause inherited diseases to develop is an important step in improving the health status of individuals, and identifying effective prevention and control measures. This project aims to apply fundamental know of genetics, genome sequence analysis, modeling and simulations, and bio-informatics to uncover the relationship between these factors and assess the […]