Title of Project: Comparative analysis of three spider mite genomes

We are focusing on three genomes of spider mite, an agricultural pest. One mite feeds on 1200 plants, the other one only feeds on one plant while the third feeds on several plants. Most of the plants these mites feed on are important in agriculture and therefore spider mites cause huge economic damage for agriculture […]

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Quantum sensor-based localization system for future urban air mobility

This project is investigation of conventional air vehicle localization using GPS and mobile networks and verification on that their weaknesses in the accurate and seamless localization can be supplemented or strengthened by future quantum sensor-based localization to discover a new blue ocean in the mobility industry.

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Bridging the Gap – Health and Safety Engineering Student Teaching Modules – Stage 2

This project is an undertaking in coordination with Minerva Canada, some of its industry partners and seven Canadian universities which aims to address a gap between industry and the graduates of engineering programs in terms of attitudes, knowledge and applied skills pertaining to health & safety in engineering practice. Upon completion, the project’s end product […]

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Generator-Enhanced Computational Chemistry and Optimization (GECCO)

This project aims to use generative AI models to improve challenging tasks in computational chemistry and optimization. More specifically, by combining quantum computing with machine learning, the research will focus on generative AI methods to design molecules for accelerating drug discovery pipelines. Novel quantum subroutines for hybrid quantum-classical models will be designed, developed, implemented and […]

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Using AI to enhance threat intelligence capabilities

The proposed research project aims to revolutionize cybersecurity at Difenda Inc. by integrating artificial intelligence (AI) into their security infrastructure. Traditional methods of analyzing cyber threat intelligence (CTI) are hindered by manual processes, resulting in slow response times and information overload. Through the adoption of AI-driven solutions, the project seeks to automate the accumulation, processing, […]

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Renewable Energy Mobility (REM)

The proposed REM project aims at developing and installing a highly iconographic solar charging station that will help inspire and foster the expansion of local infrastructure for electric vehicles at York University. This effort is part of a plan to use this innovative solar charging station to offset the electrical needs of EVs and most […]

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Navigating the AI Landscape: Monitoring User Interactions with Large Language Models

In today’s modern business landscape, Large Language Models (LLMs) have emerged as essential tools, enabling personalized marketing, data interpretation, and precise financial planning. However, despite their potential benefits, integrating LLMs into business processes poses inherent challenges. Issues such as misalignment, malicious inputs, harmful outputs, sensitive information disclosure, inaccurate information, and unintended biases can significantly impact […]

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Optimizing cell therapy manufacturing utilizing small molecule viral sensitizers

The current challenge in cell therapies lies in the inefficient delivery of genes to target cells, resulting in costly manufacturing processes. This project aims to identify and validate small molecule viral sensitizers (VSEs) that enhance the efficiency of cell therapy production. These VSEs will streamline the manufacturing process, making cell therapies more accessible and cost-effective. […]

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