Maplesoft markets Maple, the world’s premier symbolic mathematics processor, used extensively in education, research, and industry, and Maple T.A. (Testing and Assessment) a powerful online testing environment. The proposed project focuses on development of and research on educational applications of the software. Course content will be developed using Maple and Maple T.A. for core university […]

This project is aimed at providing the sense of touch (haptics) in Robotics-Assisted Minimally Invasive Surgery (RAMIS). In our previous work, we developed a 7-DOF haptics-enabled master-slave teleoperation setup at CSTAR (Canadian Surgical Technologies and Advanced Robotics) for RAMIS. This setup is a research platform for two important applications: endoscopic suturing and tumor localization in […]

The Suncor/McMaster partnership is generating a pipeline of novel, green, agricultural chemicals to be applied as crop sprays. The proposed collaboration will expand the application of the sprays to various crop species in both greenhouse and field settings and contribute to the understanding of the mode of action of the active ingredients.

Refugee newcomers tend to experience “food” culture shock and are at greater risk of food insecurity due to inadequate social programs. Hybrid social programs may help boost refugee newcomer confidence through knowledge exchange during intercultural culinary experiences. Therefore, this project aims to: First, promote effective cultural brokerage between community sponsor groups and refugee newcomers; Second, […]

Early detection of cognitive decline (e.g., Dementia) allows for early intervention of treatment and, in turn, a better overall prognosis. However, a full neuropsychological assessment (which lasts 4-10 hours) would not be feasible or reasonable for many individuals. Thus, a cognitive screening measure, such as BrainScreen (developed using a previous MITACS Accelerate grant), would be […]

Cyber insurance is a relatively new and growing insurance product that provides companies with compensation following cybersecurity incidents involving data breaches, business interruption, digital asset loss and/or cyber extortion. The ever-changing nature of cyber technology combined with the lack of a large history of cyber insurance claims makes it challenging for insurance companies to rapidly […]

The objective of the proposed research program is to develop a flexible and unified multivariate framework for modeling the returns of financial assets. The program is innovative since it establishes closed-form formulas for an efficient and reliable calculation of risk measures and derivative prices. For financial institutions and government regulators, who are performing pricing and […]

The intention of this research project is to detect pharmaceutical agents in water systems, specifically carbamazepine, ciprofloxacin, and diclofenac. These substances present an issue as they compromise the water quality and have low removal rates from conventional water treatments. The use of nanotechnology in biosensors holds the promise of high sensitivity and miniaturization. Here the […]

The aim of this project is to utilize the Langmuir Blodgett (LB) deposition technique at the University of Waterloo to form uniform thin films layers of PAni nanocomposites layers. Successful production of thin film PAni nanofibers will allow research into laser writing and the fabrication and testing of simple proof-of-principle flexible sensor devices. This will […]

Antibiotic resistance is one of the biggest challenges faced by modern medicine. Countries operating public healthcare systems need to effectively treat patients while practising responsible antibiotic stewardship. The rising prevalence of resistance means, however, that many current first-line antibiotics are becoming ineffective. In particular, resistance to the the fluoroquinolones, a broad-spectrum class of antibiotics, is […]

We will perform a computational calculation to determine the properties of a proposed, currently unobserved type of particle called a tetraquark, within our current understanding of particle physics. This will allow experimentalists to search for such particles, and provide tests of our theory (Quantum Chromodynamics), which we currently find to be in agreement with observations. […]

Anomaly network traffic threat detection has been used in many companies to detect threats. Usually, it is deployed on-premises for efficiency and privacy reasons. Anomaly detection system usually consists of a machine learning algorithm that needs tons of time to train and test. Because each company may have different network setup, it is hard to […]