My research topic is on the driver behaviors prediction for Unmanned Autonomous Vehicle (UAV) in the complex driving environment. The driver behaviors include lane changing, car following, acceleration, deceleration, etc. The work in this project will focus on establishing two models about lane changing prediction in the high way and the driver behavior prediction in […]

Internal combustion (IC) engines are widely used in the world and in the following decades, it will remain the major source of transportation power. However, the emissions of IC engines, are demonstrated have negative impact on the human health as well as the whole environment. Hence, stringent emission norms are continuously imposed on IC engines. […]

OrthoEvidence gathers the most up-to-date, high-impact literature articles, summarizes them and sends out Advanced Clinical Evidence (ACE) reports to subscribers. A random group of residents in Pune, India at the Sancheti Institute of Orthopaedics and Rehabilitation will have access to the mobile app’s targeted OrthoEvidence ACE reports based on their specialty while the control group […]

Health economic evaluation provides information about the value for money of new healthcare technologies, and is increasingly used to guide the allocation of scarce resources based on maximizing health gain. The molecular diagnostics company, PDI, has developed a technology to improve the identification of patients at high risk for oral cancers for early intervention, and […]

Biofouling is the unwanted accumulation of proteins and microorganisms on wetted surfaces. Accumulation of biofoulers on sensors and microfluidic devices greatly impairs their performance in assessing the physical, chemical, and biological condition of natural and processed water. Failure to obtain accurate data on these changes and respond in a timely manner may lead to serious […]

The goal of the project is to develop a series of standardized, performance-based computerized assessment tools for use in the examination of social cognition deficits in ASD. Drawing on the available experimental literature a number of potential assessment tasks will be identified, reviewed and configured for computer-based administration to children / youth with ASD. Programming […]

This project explores how different groups within the Turkish-speaking Cypriot community in Northern Cyprus remember the island’s history of conflict and how those memories shape their relationships and the future of the unresolved conflict. It focuses on two groups: native Turkish Cypriots born and raised on the island and naturalized citizens of the de facto […]

Neural Networks (NN) use a set of individual units (neurons) connected together to learn a specific behavior from a dataset. For example, NN excel in classification tasks where given a dataset labelled with presence or absence of a feature in each entry, they are able to detect the feature presence on new inputs. This technology […]

DiamondAI and McMaster University are working together to create a secure and scalable software interface, called an API, that connects DiamondAI’s career guidance platform with the online systems used by schools and colleges. DiamondAI helps students and newcomers understand their strengths and interests through personalized assessments powered by artificial intelligence. Right now, most schools use […]

This project aims to advance a clean technology that uses an electrodialysis process to remove acidity from seawater while producing green hydrogen. Using seawater and renewable electricity, the system removes excess acidity, encouraging ocean carbon uptake. The result is de-acidified seawater capable of absorbing more carbon dioxide, while simultaneously producing green hydrogen as a valuable […]

This project will study a relationship between graph (network) theory and algebraic objects known as ideals. Graph theory is a major branch of mathematics with diverse applications to society and industry, including transportation system modelling, social media marketing, and statistical models, among others. To study a graph, one can use the algebraic structure of a […]

The proposed international research collaboration project aims to develop accurate and efficient image processing algorithms for advanced imaging instrumentation technologies. The overarching goal of the project is towards fully automated microscopy technologies with many strategically important applications for both DGIST (Korea) and McMaster (Canada) such as point-of-care diagnosis in remote communities and drug discovery. The […]