Translating behavioural science into effective hiring practices

While companies are looking to hire the most qualified candidate to fill their positions, they often have a difficult time identifying the right candidate for the job using traditional hiring practices. However, one major barrier is that companies may over-rely on traditional hiring methods such as interviews that may not be the best way to select the most qualified candidates. This is because employers may overly-rely on their experience and intuition, even though they are often led astray.

Design and impact assessment of hydrogen from waste as a transportation bridge fuel in heavy duty diesel vehicles

Transportation is a major contributor to climate change and air pollution. Switching away from diesel fuel to clean alternatives can help address the global environmental challenge of climate change, and also reduce the health impacts of air pollution, such as heart attacks and asthma attacks, where people live. However, it is difficult to demonstrate and quantify the benefits of these new technologies without better data and models. This project will partner with an Ontario company seeking to generate hydrogen from waste as a clean bridge fuel to mix with diesel in heavy-duty vehicles.

Competency-Based Education for Airside Professionals

This project will analyze competencies (knowledge, skill, and attitude) of airside professionals conducting the taxi-ground run of an aircraft in an operational airport environment. Both cognitive task analysis and consensus modeling methodologies will be used to identify competencies and draft a competency framework of the task.

Video Quality-of-Experience Assessment Based on Advanced Machine Learning Technologies

The proposed Mitacs cluster project aims to apply advanced artificial intelligence (AI) technologies to attack challenging video quality-of-experience (QoE) assessment and quality assurance problems that are critical in real-world large-scale video distribution systems. Six internship students will work closely with the technical staff members at SSIMWAVE INC, a deep-tech startup company based in Waterloo Ontario, to develop AI-based automated video QoE assessment and video anomaly detection algorithms and software prototypes.

Improving Efficiency and Robustness of Model-based Reinforcement Learning

Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which allows an AI system to explore its environment exactly when exploration will be most useful for improving its model-based predictions and plans.

Supersingular Isogeny-Based Cryptography

In the near future the way that we encrypt and authenticate information online may not be safe. For this reason, we need to create new tools that will enable secure communication for many coming years. The proposed research is to create such tools from a certain algebraic object called isogenies. These are functions that take one elliptic curve to another. Breaking isogeny-based encryption is thought to be difficult, and so we will be able to create other cryptographic tools from them besides encryption.

Sodium Manganese Oxide Coated with Polymers as Zinc and Sodium Dual Ions Battery Cathode

Rechargeable aqueous zinc sodium dual-ions batteries are considered as alternatives of lithium ion batteries because of their safety and low-cost. As an available cathode for the zinc sodium dual-ions batteries, sodium manganese oxide (NMO) shows relatively high specific discharge capacity. Polyaniline (PANI) is promising for coating NMO to stabilize the NMO system because it can supress the crystalline structure collapse. Metanilic acid is promising for doping PANI to increase the conductivity of PANI.

Assessment of DNA Ministring technology in cell transfection and the treatment of Colorectal Cancer (CRC) - Year two

Despite the power of gene therapy, its successful application to medicine has been diminished due to: (i) high toxicities and potentially fatal adverse effects; (ii) poor transgene expression in target cells; and (iii) extensive vector degradation. While viral vectors greatly improve efficiency, they sometimes lead to cancers due to chromosomal integration and may suffer from a lack of desired tissue selectivity. In contrast, nonviral systems have proven safer, but less efficient.

Idiomatic foreign function interface generation for user-specified target languages

For different software packages created using different tools to interoperate, an intermediate layer called API bindings is needed. These bindings can be created by hand, but that takes time and needs to be updated whenever one of the packages changes.

Optimization of a Stochastic Heterogeneous Vehicle Routing Problem for the Trucking Industry

In the transportation industry customer satisfaction, driver retention and profitability are some of the most critical factors in company success. As regulatory environments change, and competition grows Contrans Corp., a flatbed freight company, is seeking to develop a user-friendly application that allows team members to rapidly and accurately determine an optimal dispatch schedule for the fleet.

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