Improve the reliability and performance of Vision based Machine Learning models to provide more valuable insights to researchers.

Biomedical research, particularly preclinical research, is a complex and challenging field with a high failure rate of 98% in pharmaceutical research investment. Extracting relevant information from preclinical research papers involves synthesizing information from various sources, which is a demanding task that requires domain-specific knowledge. Natural language processing, specifically Large Language Models (LLMs), has demonstrated tremendous […]

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Measuring International Entrepreneurial Competency

This important research project seeks to a) engage graduate students from University of Toronto in an immersive entrepreneurial experience in Taiwan in the fields of advanced computing, clean technologies and scientific innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning. The student will complete an internship with Himax. He […]

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Paired-image enhancement for smartphone cameras

This project aims to develop enhancement techniques for high-resolution imaging on smartphone devices. The project will focus on a specific imaging modality where a pair of images are captured in succession: a high-resolution image (108 mega-pixel) and a corresponding low-resolution image (12 mega-pixel). Due to the small pixel size in the sensor used to capture […]

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Bentley : Segmentation et analyse automatique de grands maillages 3D

De plus en plus de technologies existent pour capturer un modèle 3D d’une infrastructure existante : drones, robots, caméras spécialisées, etc. Toutefois, les données ainsi produites ne sont pas “intelligentes”, en ce sens qu’elles ne contiennent aucune information sur ce qu’elles représentent, pas plus que les pixels d’une image n’indiquent ce qu’ils représentent. Ce projet […]

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Resource Allocation in Integrated Terrestrial and Non-terrestrial Networks

Due to increasing demands for novel services, advancements in non-terrestrial networks (NTNs) are seen as an effective solution to complement terrestrial networks (TNs) in under-served areas. However, the high mobility of new users, e.g., autonomous cars, in addition to that of NTN platforms, will cause extreme signal fluctuations. The latter will lead to radio link […]

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Anisotropie des aluminiums extrudés

Dans le cadre d’un projet sur l’extrusion, un besoin de documentation des propriétés mécaniques de profilés est présenté par le LOPFA et pourrait intéresser un élève d’école d’ingénieur en stage. Dans le cadre de ce stage, l’étudiant devra caractériser l’anisotropie de profilés extrudés en alliages d’aluminium (AA6063 et 6082). Pour se faire, il faudra réaliser […]

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WATER-BASED SYNTHESIS OF AMINO-FUNCTIONAL POLYMERS

Polymeric materials are used for personal care products, drugs, tissues, organs, sensors, batteries, coatings among numerous applications. Currently, these products are made in organic solvents (e.g., methanol, butanol), which are toxic and incompatible for human use. Therefore, there is a need to make these products in water, which is biocompatible and environmentally friendly for use. […]

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Measuring International Entrepreneurial Competency

This important research project seeks to a) engage graduate students from National Cheng Kung University (NCKU) in an immersive entrepreneurial experience in Toronto, Canada in the fields of advanced computing, clean technologies and scientific innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning. Students will complete an internship with […]

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Modern Plug-and-Play Image Priors for RAW Image Enhancement

Modern mobile phones have become the dominant photography device in recent years. However, due to form factor constraints both the camera sensor and lens have to remain compact, which in turn has a negative effect on the resulting image quality such as decreased resolution and noise. Image restoration attempts to recover a clean latent image […]

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Effect of Mineralogy on the Application of Sensor-based Sorting Techniques Year Two

Comminution, the process of crushing and grinding ore to liberate minerals, is the most energy intensive part of the processing flowsheet and accounts for upwards of 75% of the overall energy consumption of the processing plant. Ideally we would only crush and grind those rocks that contain economically extractable amounts of minerals. MineSense has developed […]

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Effect of Mineralogy on the Application of Sensor-based Sorting Techniques

Comminution, the process of crushing and grinding ore to liberate minerals, is the most energy intensive part of the processing flowsheet and accounts for upwards of 75% of the overall energy consumption of the processing plant. Ideally we would only crush and grind those rocks that contain economically extractable amounts of minerals. MineSense has developed […]

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