A Supply Chain Traceability System for Seafood Distribution

In this project, we are going to design blockchain networks and design an interaction between IoT devices. In this way, we can update the location of tokenized asset which is our food product in this project. Blockchain network can provide traceability and transparency, so we decided to use blockchain because of these features. The partner […]

Read More
Advanced Adaptivity and Personalization in Learning Systems through Collaborative Recommendations

Learning Systems are among the most popular e-learning tools in today’s education and training. Most e-Learning systems do not take into account individual aspects of learners (e.g., their goal, experiences, existing knowledge, learning style etc.).The primary goal of the proposed research is to offer rich adaptivity by combining information from a learner’s profile (e.g. levels, […]

Read More
Software Engineering of LOYALTY APP for NTN CANADA

NTN Canada wants to build a Loyalty Program Mobile App that will be used by their clients to collect and redeem award points based on the NTN products that they sell/purchase. This functionality will be achieved through a client facing mobile application and web-based admin panel for NTN Canada office.

Read More
Indoor Object Detection for Blind People

Since 2003, Humanware develops a GPS-based dedicated device that helps blind people to orient themselves and guides them to their destination. In this project, we want to enhance the user experience by providing a better understanding of the environment and interacting with the device in a more natural way. This project specifically addresses how the […]

Read More
Applying software product line engineering for the creation of blockchain applications

Although blockchain is gaining momentum in the industry, practitioners still struggle with the technical aspects of implementing blockchain-based applications. This task requires deep knowledge of blockchain technology, a scarce skill due to its novelty. This project proposes an approach based on the combination of software product lines and blockchain technology to automatically generate on-the-shelf blockchain […]

Read More
Locally based surface extraction techniques for handheld imaging technologies

The research aims to develop a device technology and software to recover surface information from a handheld scanner. The idea is to combine pre-existing object analysis technologies with a local device capable of reconstructing an objects shape from data collected by simple (shelf component) electronics as the device is passed over the object in the […]

Read More
Offloading Data Fusion to Programmable Data Planes

Big data refers to a class of applications that operate on large amounts of data. One paradigm that fits the big data applications category is the Internet of Things (IoT). Millions of IoT devices continuously produce data and exchange information to support critical applications in different scenarios, such as smart cities and smart homes. As […]

Read More
Conception d’une trousse d’analyse d’opportunités pour l’implantation d’une solution enrichissant les systèmes de GMAO existants

Les actifs, qu’ils soient des machines industrielles, les équipements médicaux, des bâtiments, des équipements informatiques, des infrastructures de transport, etc., ont une durée de vie. Malgré la variabilité de leur performance au cours de leur cycle de vie, les gestionnaires souhaitent que ces actifs conservent leur valeur marchande au maximum tout en minimisant les coûts […]

Read More
High-frequency financial forecasting

Berkindale Analytics is a cloud-based company and wants to create a next-generation platform to provide both market data and packaged analytics to financial clients via direct download, interface, and dashboards accessible from a web portal. It is distinguished by its service arm that engages in data discovery, new analytics design, and ETL (“Extract, Transform, and […]

Read More
Federated Learning on Sensitive Mobile Data (Python/Java)

At Lerna IA, we are building a private federated learning platform for mobile applications. Our technology allows mobile-first companies to learn about their app users without violating their privacy. Our novel security architecture speeds up the federated learning process by at least 50x, rendering it practical for real-world mobile set-ups by running the whole ML […]

Read More
Estimation visuelle sécuritaire et explicable des conditions routières

Nous avons actuellement un prototype de systeme de vision artificielle base sur des reseau de neurones profonds entra1ne sur notre jeu de donnees proprietaire qui permet d’identifier les zones de construction et de detecter et lire les panneaux de limite de vitesse. Dans notre prochain de R&D, nous souhaitons tirer partie de notre reseau de […]

Read More