The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, […]

Throughout the COVID-19 pandemic, there has been an emerging need of using new advances in information and communication technologies (ICT) to improve our healthcare system to manage a massive influx of patients. Indoor geolocation techniques and optimized traffic management algorithms are substantial for serving a large number of patients in healthcare centers while respecting procedures […]

Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will […]

The objective of this project is to create market sentiment indicators for cryptocurrencies. Market sentiment indicators are built from text analysis of exchanges on Twitter and other sources, that may include embedded or references images (e.g., price curves) and videos. The text dataset for cryptocurrencies may have a very structure from that of traditional currencies. […]

Many conversational agents blend the functionalities of question-answering and chit-chat into a single system. This lays the foundation for a more interactive type of question-answering models which is the primary focus of the research project. Interaction between a user and the agent allows the user to ask an underdefined or ambiguous question, and, instead of […]

Modern visual effect films rely on photorealistic, believable, synthesized humans and characters. Often these characters are used as stand-ins for the hero character in a film and are referred to as digital doubles. In the past, digital doubles have been limited in use due to cost or complexity. As the demand for the use of […]

In distributed computing settings, data privacy is of paramount importance (e.g., mobile or medical devices). Federated Learning (FL) empowered the state-of-the-art deep neural network model to provide AI solutions to clients while keeping the client data private in distributed computing settings. Communication between different devices is one of the main bottlenecks of FL model because […]

Hand hygiene is the most effective way to prevent infection transmission. This has been even more highlighted in current pandemic where with correct PPE and good HH, families were be able to visit and touch their loved ones. However, adequate HH actions are sometimes neglected due to high workload and time deficiency in healthcare settings. […]

I will be working on open MIDaaS project. It stands for Mobile Identity as a Service. The project aims at making a mobile application the centre of user authentication. The app will be like a personal wallet which will store the list of attributes like verified email, address, and phone and credit card numbers. A […]

Vaolo est une plateforme technologique innovante dans le secteur du voyage, au croisement entre les plateformes transactionnelles, collaboratives et sociales. Vaolo est une entreprise d’innovation sociale qui vise à propulser le voyage de demain, un voyage éco responsable plus humain et respectueux de la planète et des communautés locales. Sa mission est de développer une […]

Synthetic population generation is the process of combining multiple socioeonomic and demographic datasets from various sources and at different granularity, and downscaling them to an individual level. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. In this project, we propose a multi-stage framework called SynC […]