Machine learning based classification of protein states from lipid fingerprints

This project is dedicated to unveiling how proteins within cell membranes adapt to their surroundings, particularly the lipid environment. Employing computer simulations and machine learning (ML), we focus on RAS signaling proteins and Mga2 transcription factors. RAS proteins, crucial for cell growth and division, are anchored to the cellular membrane and often exhibit mutations in […]

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Schéma conceptuel et conception d’environnements immersifs appliqués en contexte de loisir pour l’inclusion des personnes autistes

Ce projet vise à améliorer la participation sociale des enfants autistes et de leur famille en utilisant des activités de loisir immersives basées sur la réalité virtuelle (RV), en particulier dans un environnement de type CAVE. Actuellement, les enfants autistes rencontrent des obstacles à la participation sociale en raison de divers facteurs, tels que des […]

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Machine Learning based Combustion Control for Zero Carbon fuels

The Canadian Net-Zero Emissions Accountability Act targets net-zero greenhouse gas (GHG) emissions by 2050 with similar commitments around the globe. In the short-term, emissions from heavy-duty internal combustion engines (ICEs) that dominate the power generation in freight transportation industry can either be reduced or eliminated with zero-carbon fuels such as Hydrogen / Ammonia. One solution […]

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Machine learning for robust and reliable measurements

In this project, we will employ deep learning techniques to enhance the accuracy, interpretability, and robustness of indirect measurements. Particularly, we focus on problems of i) interpretation and analysis of metagenomic data obtained from agricultural soil samples, characterized by high-dimensional feature spaces with a relatively small number of soil samples (for an overview, see [1]-[4]), […]

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Create Your Self: A Study of Avatars in Virtual Reality

This project aims to simplify the creation of avatars for use in research, with a focus on self, identity, and facial recognition. Avatars, or digital selves, can be challenging to make and limited by software, and this is made worse when participants’ avatars look different from themselves in real life. The goal of this research […]

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Rheological behavior of modified asphalt under short and long-term aging in Colombia

This project focuses on investigating the behavior of a typical Colombian asphalt, which has been modified to enhance its properties, under short and long-term aging conditions. The primary objective is to evaluate how these modifications influence the asphalt’s strength and durability, critical factors affecting its lifespan in road pavement. The overarching goal is to develop […]

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New spin cross-over complexes for quantum calculations

Most computers and materials work on scales such that quantum effects can be comfortably ignored. But as we aim to make computers ever smaller, quantum effects will cause difficulties; however, they also provide opportunities. Spin-crossover (SCO) materials are molecules that can “Flip” between two states: either high or low spin binary states, making them essentially […]

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Study Cluster melting by enhancing Parallel Tempering Monte Carlo Simulation with Gaussian Software Interface through GPU Acceleration for Efficient Energy Calculation

This project aims to simulate the melting of clusters that are important in the field of nanotechnology and catalysis. We will improve the computational efficiency of Parallel Tempering Monte Carlo (PTMC) simulations by integrating GPU capabilities and interfacing with Gaussian software for energy calculations. The project is an essential part of a Ph.D. thesis that […]

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How does the prefrontal cortex respond to various obstacle avoidance tasks

The proposed project will look at participant’s brain activity while completing a stone-stepping task. Brain activity will be measured through EEG while the stone-stepping task will be projected through the Motek C-Mill treadmill. The research goal is to synchronize the data from a motor event occurring on the treadmill to cortical brain activity. The participants […]

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Employment of alternative in vivo cancer models for oncology preclinical investigations

The clinical translation of innovative oncology treatments can be boosted by the establishment of alternative in vivo models based on the chick chorioallantoic membrane. In this project, a biomodel based on commercial cancer cell lines, such as hepatocellular carcinoma, will be established and characterized by standard biological assays. The biomodels will be employed for the […]

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