Projets novateurs réalisés

Prioritizing Test Cases to Enhance the Safety of Automotive Systems

Cyber-physical systems (CPS) are made of software components interacting with their physical environment. They are used in many domains: Automotive, energy, healthcare, and many others.
Within the automotive domain, the need for software is expanding. Software is transitioning from supporting infotainment systems to driving functionalities (e.g., cruise controller, automated pilots).
As the need for software increases, automotive companies are experiencing increasing problems in ensuring that their vehicles are sufficiently safe. Engineers must identify hazards and mitigate them sufficiently. This activity is complicated. Ensuring the safety of the vehicles is even more challenging with the advent of over-the-air (OTA) updates
This?? project?? aims?? to?? help?? software?? engineers?? testing their?? automotive systems. Our?? research?? question?? is?? to?? understand?? how test case prioritization techniques can help detecting failure-revealing test cases for automotive applications containing many software configurations frequently updated via OTA,?? and?? ?understand if these techniques can be extended to?? increase their efficiency and effectiveness by exploiting information encoded within Test Sequence and Test Assessment Blocks.?
This research project will strengthen the relations between Canadian and Italian Universities. It will foster exchange of research ideas between Canadian and Italian institutions and support the exchange of HQP.

Evaluation and enhancement of QReserve’s web accessibility standards

This project involves a student intern working with QReserve, a Canadian technology company providing resource management software, to evaluate and enhance our web accessibility standards. The intern, a Junior Software Developer, will collaborate with our development team to analyze the current software, identify areas for improvement, and implement changes to ensure the platform is accessible to a wider range of users. This enhancement will directly benefit QReserve by expanding our user base, improving our reputation for inclusive design, and ensuring compliance with accessibility guidelines, ultimately strengthening our position as a leading provider of enterprise-grade resource management solutions.

Needs Assessment for Treatments at Mucosal Surfaces

Understanding the needs of patients and the gaps in the current treatment options is critical to creating improved products for these conditions. This project will identify conditions where there is a strong product-market fit using OptimEyes’ proprietary drug delivery nanoparticle platform to address these limitations. These results will inform in-lab R&D activities that will create products that match the target product profile identified by patients and health care providers to improve treatments for these diseases.

Caractérisation de l’état de santé de Homarus americanus dans les conditions environnementales de Gros-Cacouna

Le projet vise à explorer la viabilité de la conservation de homards en mer. Le projet aurait lieu dans les installations de la Première Nation Wolastoqiyik Wahsipekuk au quai de Gros-Cacouna dans le territoire ancestral Wolastoqey. Le port de Gros-Cacouna est à la limite de l’habitat du homard. L’environnement, et plus précisément la qualité de l’eau, est critique au bon fonctionnement de ce projet commercial. Pour connaître l’état de santé des homards à Gros-Cacouna, nous allons les comparer à des homards de la Haute-Gaspésie. Des tests physico-chimiques permettront de connaître l’état de santé, tandis qu’un test de goût nous permettra de connaître la qualité commerciale.

Linking geologic history to geothermal resources in the Liard Basin, Northwest Territories, Canada

Canada’s northern communities are overly dependent on diesel fuel, which poses an economic threat in the event of a supply disruption (e.g., river flooding, forest fires). Therefore, the use of geothermal energy is an essential step towards independence and self-sufficiency. In the Northwest Territories, high geothermal gradients offer long-term, year-round heating and power for northern communities. Despite the discovery of such geothermal resources, many questions remain as to why only this area of northern Canada has such potential. In this project, I aim to address this question by combining geothermal information (e.g., distribution of geothermal gradients) with the geologic history of the Liard Basin region (e.g., temperature history, major geologic events, rock properties). By combining this information, I will expand the knowledge of how unconventional geothermal resources form, which can result in a blueprint for geothermal exploration in remote and understudied areas. This benefits Canada in its ongoing efforts to transition to sustainable energy sources. In addition to these broader benefits, this project will benefit research groups at the University of Calgary and the University of Bergen by providing detailed geologic information on the evolution of northern Canada and by implementing a novel numerical modeling approach to unravel geologic histories.

MXene-Supported Electrocatalysts for Enhanced Oxygen Evolution Reaction in Green Hydrogen Production

This project focuses on developing advanced catalysts for green hydrogen production by using MXene, a highly conductive nanomaterial, as a support for oxygen evolution reaction (OER) catalysts. Efficient and durable OER catalysts are essential for water electrolysis, a key technology for producing hydrogen as a clean energy source. By combining expertise from the University of Toronto and the University of Tokyo, this collaboration will enhance understanding of catalyst design, improve energy conversion efficiency, and contribute to sustainable energy solutions. The partnership will also strengthen research ties between the two institutions, providing opportunities for knowledge exchange, student training, and future joint projects in clean energy technology.

ESROP – KMUTT – Assistive Devices for the Elderly (FoG Prediction and Cueing Device)

A common symptom of Parkinson’s Disease is freezing of gait (FoG), which entails that patients freeze while walking and cannot continue to walk. A way to stop the FoG is to prove some sort of external stimulus (cueing). This project entails the creation of a device to detect FoG (based on previous devices) and provide somatosensory cueing to the user in order to manage FoG. This would be built into a smart-watch like device, as an assistive device for the elderly.

ESROP – KMUTT – Time series Data Modeling and Analysis with a focus on financial data

This project focuses on improving transformer-based models for quantitative finance (QFin) by addressing key limitations such as inadequate long-term memory, lack of sentiment analysis, and difficulties in handling multimodal data. While transformers have achieved breakthroughs in fields like protein folding and natural language processing, their application in finance still faces challenges. Existing financial transformers struggle with capturing long-term dependencies, relying mainly on structured technical data while neglecting external factors like news and market sentiment.

This research aims to enhance financial transformers by integrating better memory mechanisms, sentiment analysis techniques from NLP models like BERT and T5, and multimodal learning to improve predictive accuracy and adaptability in volatile market conditions.

Automated optimization of robotic tasks and transitions using graph-based approaches

In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This approach has been very well received by the industry and has proven to be extremely robust in practice. However, this approach is semi-automatic and cannot work without user input. Emerging applications, on the other hand, are demanding a fully automated solution. We, therefore, propose to build a customizable automated planner framework on top of the existing semi-graphical approach. The combination will allow the company to provide fully-automated solution with high flexibility and confidence.

L2M QC Spring 2025 | Tools for the automation of auditing of smart contracts for blockchain applications

The increasing adoption of blockchain technology, particularly in decentralized finance (DeFi), highlights the critical need for automated and efficient auditing tools for smart contracts and transaction monitoring. Traditional manual auditing methods are slow, labor-intensive, and insufficient to manage the growing complexity of smart contracts. By integrating AI-based techniques, this project aims to develop automated tools that can detect vulnerabilities in smart contracts in real-time, enabling faster and more reliable security audits. Additionally, these tools will provide continuous transaction monitoring, ensuring compliance and preventing fraudulent activities. The innovation lies in combining machine learning algorithms with blockchain security to scale audits, improve accuracy, and enhance the overall security of decentralized applications. Key stakeholders include blockchain developers, auditing firms, DeFi platforms, regulators, and end users, all of whom stand to benefit from more secure and efficient blockchain ecosystems.

Chelating bis(phosphinidenes) with cyclic alkyl(amino)carbene backbones: synthesis and coordination chemistry

This project focuses on developing new types of catalysts by designing and testing innovative molecules (ligands) that can better interact with metals and tune their properties. Catalysts are chemical species that help speed up chemical reactions, making them more efficient, selective, and sustainable. They are essential in many industries, from pharmaceuticals and petrochemicals to energy production, conversion, and storage. The proposed work will explore a promising new class of ligands called cyclic alkyl(amino)carbene-stabilized phosphinidenes, which build on the strengths of existing phosphinidene ligand systems to create ligands imparting improved stability and reactivity to the metal centers they bind to. This collaborative work will bring together the combined expertise of the two participating research groups in stable carbene and phosphorus chemistry, respectively.
By fine-tuning the structure of the phosphinidene ligands, the goal is to create metal complexes that can perform challenging chemical transformations more efficiently. This could lead to breakthroughs in green chemistry, helping reduce waste and energy consumption in industrial processes. It also provides valuable training for the training of highly qualified personnel in cutting-edge chemical techniques, fostering international collaboration in the field of advanced materials and catalysis.

Aerial eco-phenotyping: Characterization of tree fitness in response to water use

The main objective of this internship is the acquisition of field data in Australia, using drones equipped with RGB and thermal sensors to map and monitor vegetation in mine sites undergoing restoration. These data will be used to feed an AI model to identify plant species and assess their performance and resilience to environmental stresses. This project is part of an international research collaboration between the Université de Montréal (UdeM), the University of Western Australia (UWA) and the Kings Park Science Program, a renowned research center in plant ecology and ecosystem restoration. This internship is part of a wider collaborative project aiming to develop methods for monitoring and evaluating ecological restoration initiatives, particularly at mining sites, which will be relevant to all three organizations contributing to this project.