Global agricultural supply chains face persistent challenges such as unstable supply, uncertain demand, and tariff-related uncertainty that further complicates pricing and network design. This project focuses on the design and optimization of global greenhouse agricultural supply networks under trade policy and market uncertainty. The research aims to improve supply chain profitability, resilience, and adaptability to […]

This project aims to convert seafood waste such as shells, bones, and seaweed trimmings into valuable nanoparticles using nanotechnology. Instead of discarding these materials, they will be transformed into eco-friendly products for use in agriculture, medicine, wastewater treatment, and renewable energy. The nanoparticles will help improve soil health, enhance crop nutrition, clean polluted water, and […]

Historiquement, la science actuarielle a développé des techniques de modélisation appropriées pour la tarification, le provisionnement et la gestion des risques pour ne nommer que quelques domaines. Depuis quelques années, toutefois, de nouvelles techniques potentiellement prometteuses sont disponibles et commencent à émerger dans l’industrie de l’assurance. Portées par l’engouement de certaines communautés scientifiques, l’apprentissage statistique […]

Enterprise Resource Planning (ERP) systems are used to store data records of activities underlying various business processes, from which Key Performance Indicators (KPI) are derived, providing visibility into the organization. How well the recorded information adheres to business processes and how well those are defined and implemented affect data quality, determining how KPIs accurately portray […]

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, […]

The company wants to develop a state of art recommendation system for the clients. A recommendation system is a piece of software that provides products’ suggestions to customers on a website. For example the products suggestions that can be seen on Amazon’s web page are generated by its recommendation engine. The typical recommendation engines work […]

Using web crawling technology in coordination with state of the art machine learning techniques, the project aims to mine useful, structured information about the world’s suppliers from the web. Recent advances in artificial intelligence have increased the viability of such autonomous systems for extracting coherent information from arbitrary human-produced content. By leveraging these technologies, our […]

In this project, the intern will design a decision support framework for optimizing tube utilization in laboratory tests. Given a prescription, the framework automates the tube selection process and outputs low cost tube configurations. The framework is designed to be easily adapted to different lab configurations. It consists of three processes, namely data profile configuration, […]

We are in the process of creating and growing a team of researchers, expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of […]

The objective of this project is to develop an analytics platform that will give us an understanding of sensory data in predicting trends and relationships between sales and wine sensory data. The wine sensory data we will use in this project is entered by reviewers and consumers rating various attributes such as Aroma, Appearance and […]

This project involves researching and integrating constraints into existing route and schedule optimization software. The partner organization (Western Heritage) has developed software that calculates the shortest route and optimal daily schedule for home care workers visiting patients in their homes. These schedules must consider constraints for each worker and patient, such as: smoker, pet in […]

In this project, the intern will design a community health care scheduling system for the allocation of home visits to care givers in community health care. The system adopts an agent-based distributed system architecture which take patients scheduling preferences on time, location and care givers into account when assigning care givers to home visit appointments. […]