Co-creating societal progress: Developing participatory processes for working with governments to meet targets for ecological transition.

Climate change demands that governing institutions at every level of society define targets for ecological transition. The UN 2030 Sustainable Development Goals are one such agenda. Actually meeting those targets takes more than planning, however — it requires the stimulation, development, and implementation of citizen-led solutions. With innovation labs and research institutes providing platforms to […]

Read More
Layout Drawing Digitalization and Generation

The layout drawing is the popular format in the Oil & Gas industry to illustrate the design of layouts and the internal equipment. The complex drawings contain primary shapes, indicative lines and textual annotations. So far the expert knowledge is still required to understand, modify and create such documents. The proposed project is to develop […]

Read More
An information-theoretic framework for understanding generalization in neural networks

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, […]

Read More
Comparative Study of ‘systems of justification’ among Indian students of business/management institutions; Cases of study: Private and Public business/management institutions in province of Karnataka’

This thesis deals with how Indian students of business/management schools adapt themselves with neo-managerial and entrepreneurial discourses presented in such schools. More specifically, I study the ways by which the aforementioned students adapt their socio-cultural background with the discourses of justification presented to them during their MBA program. In other words, I analyze how Indian […]

Read More
Data Analytics API and UI for Building Sensors

The project entails the creation of a program that will capture data from building sensors. It will analyze that data and predict future trends based on the data collected over a period of time. It will also graph data from sensors over a period of time. Currently both are done manually, take a significant amount […]

Read More
Classification of Minimal tau-tilting Infinite Algebras

Representation theory of algebras is an active area of research with numerous contributions to different areas of pure mathematics and theoretical physics. This is because it often represents very technical and complicated concepts in terms of concrete oriented graphs that are equipped with some additional data. In this area, as any other mathematical concept, the […]

Read More
Signature biométrique et blockchain au Desjardins Lab

Dans un souci de se moderniser et d’offrir des solutions plus conviviales à ses clients, notre en-treprise souhaite explorer les capacités des technologies émergentes et ce qu’elles peuvent apporter lors-qu’il est sujet de signature numérique dans un monde totalement sans papier (aussi appelé paperless dans l’industrie), particulièrement dans un contexte où les signataires se retrouvent […]

Read More
Secure Distributed On-Device Learning Networks With Byzantine Adversaries

Due to the huge data volume in the big data era, the dimension of feature parameters and the size of datasets continue to increase. This trend induces a paradigm shift for the learning networks from the centralized in-cloud learning ones to the distributed on-device learning ones. Benefit from the parallel computation and local training, the […]

Read More
Characterizing the stability of claims in neuroimaging

In recent years there has been a growing focus on evaluating the reproducibility of scientific findings. In neuroimaging this has been explored with respect to the impact specific choices in analysis software have on the resulting claims and their ability to be replicated across datasets or other tools. The focus of my Ph.D. involves the […]

Read More
Clustering de questionnaires de satisfaction clients

L’objectif de ce projet de recherche est d’améliorer la compréhension des membres par les conseillers de la Fédération des caisses Desjardins. Pour ce faire, nous avons mis en place une solution permettant d’analyser l’information provenant des appels et des discussions par chat. Grâce à différents algorithme de traitement automatique du langage, nous pouvons extraire les […]

Read More
Analyse de liens au sein du Mouvement Desjardins

Ce projet vise à utiliser des techniques d’analyse de réseaux afin d’extraire de l’information utile pour le mouvement des caisses populaires Desjardins. Le projet se décompose en trois stages distincts, mais basés sur des concepts similaires. Le premier projet vise à identifier des groupes de membres comportant des affinités, le second consiste à identifier des […]

Read More