Every day millions of customers move through the sales cycles of companies, this generates large sources of event data. This project aims to discover, understand and predict the journeys of their customers. On one hand, the project is interested in describing the data at a higher level. This means to apply machine learning techniques, namely […]

The focus of my research is modelling graphene-hBN (graphene-hexagonal-boron nitride), a novel two-dimensional ceramic with the ability to allow for the measurement of both plastic and elastic strain. Mixing graphene with hBN augments the properties of the ceramic by making it stronger and more versatile. When exposed to an elastic strain, the ceramic will exhibit […]

In this research project, a surcharge optimization algorithm will be developed to help the partner company to dynamically determine the premium charged for order pickup. The objective of the project is to smooth the demand curve for the order pickup timeslots: popular timeslots are congested, making it harder to deliver a positive experience, and other […]

The company Lexum is an undisputed leader in the development of information retrieval tools for the law – statutes, regulations and decisions of courts and tribunals. The project is to improve a new tool offer by the company. The tool is used to retrieve a list of legal subjects from a factual description. With that […]

The goal of the project is to implement real-time state of the art object recognition models on wearable devices. These devices aim to help people living with a visual disability by providing a description of their outdoor environment and offer navigation guidance. This would improve the experience of the users by allowing them to perform […]

Kindred offers eCommerce retailers a solution to assist with rapid order fulfilment from their distribution centres. The solution (SORT) is a combination of a so-called put-wall and a humanoid robot. The robot picks up items from orders, scans them, and puts each item in a cubby of the put-wall according to the scan code. The […]

In this project, a VR-based testing station for impairment screening will be implemented. The station includes a Virtual Reality (VR) goggle (to be updated to Augmented Reality, AR, later), biophysiological measurement sensors, and an integration algorithm to integrate the result of measurement with scene construction of the VR system to implement dynamic scene rendering. The […]

Optimization problems, such as finding the shortest or fastest path to a destination are ubiquitous in industry. Hower, for some industrial applications it may be desirable to have a set of few diverse, yet nearly optimal solutions. The goal of this project is to create new optimization problem solvers that focus on both quality and […]

The rate at which chlorides from deicer salts penetrate into concrete towards the reinforcing steel has a strong influence on the time-to-corrosion and service life of concrete structures. Thus, the permeability of the concrete cover layer protecting the reinforcement has to be minimized especially in severe exposure conditions. In addition to the type of concrete, […]

Technological improvements, competition in the survey services industry and the increased use of UAV’s (drone) has driven down the cost of LiDAR acquisition. As a result, LiDAR is rapidly gaining popularity in application in road planning and design. LiDAR data sets typically contain tens of millions of points. Efficiently processing this data efficiently presents challenges […]

Natural language processing (NLP) is a branch of artificial intelligence that focuses on teaching computers how to analyze and understand human languages. The objective of this project is to develop advanced machine learning techniques to extract sentiment from text. We want to improve the current industry standards for sentiment analysis by leveraging the latest results […]

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]