Data-driven Innovation for the Supply Chain and Retail Industry

The project is a partnership between Polytechnique Montréal, HEC Montréal, UQAM and JDA Canada. JDA Labs is investigating new approaches to help incorporate "big data" science and analytics into everyday supply chain decisions. It relies on new approaches that employ sensor technologies, new analytic capabilities and simulation techniques to not just sense and respond, but anticipate and act by making complex decisions while decreasing the risk exposure.

Business Technology Management (BTM) Body of Knowledge (BOK)

Business Technology Management (BTM) is a rapidly emerging trans-disciplinary research area and professional discipline in Business Administration. It seeks to provide an integrated framework for the strategic use of Information and Communication Technology (ICT) and the digital transformation of organizations. This research project will develop the first BTM Body of Knowledge (BOK) and provide a systematic, exhaustive, and evolving framework for professional practice standards.

Radio Acoustical Virtual Environment: from Lab to Field - Year 2

In a world that is getting noisier and as more people are at risk of noise-induced hearing loss the NSERC-EERS industrial research chair in in-ear technologies (CRITIAS) and its industrial partner EERS, have joined forces to address the existing issues in hearing protection devices (HPD). Difficulties in communication is the most prevalent reason why HPDs are not worn in noisy environments. The goal of this project is to enhance communication for talkers wearing HPDs in noise. This is done by capturing speech from inside the occluded ear, denoising it and extending its frequency bandwidth.

Shoppers Persona Analysis: Statistical Learning of Shoppers’ Behaviour

The project is to break down shoppers into different groups. Shoppers have different preferences, for instance some shoppers tend to buy online in the morning, some might prefer purchasing online at night. If one could group together shoppers based on their different shopping behaviours, one would then be able to come up with personalized sales strategy that could better serve the customers, for example the retailer could send push notification in the morning to the group whose shoppers tend to buy in the morning.

Investigating How Teachers Learn and Customize Digital Classroom Tools

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used by teachers for various content delivery and content management tasks.

Characterizing thermo-mechanical treatment of laser processed NiTi shape memory alloys

Shape memory alloys (SMAs) are metallic alloys which can undergo deformation and return to their original form when heated above their characteristic transformation temperature. Due to their unique properties, SMAs have found use in the aerospace, robotics, biomedical, and automotive industries, among others. Traditional SMAs are limited to one distinct transformation temperature per individual component, limiting their potential applications. Smarter Alloys Inc.

Exploring an intelligent recommender system for automated taxi dispatching systema

The output of this project which is a recommender system can be used by the partner organization in order to improve their automated taxi dispatching system. So, the process of dispatching a taxi request to drivers can be done faster with more customers’ satisfaction rate, because the driver which is assigned to drive a customer would have common interests with the customer in language, accent, pet-freeness of his/her vehicle, smoke-freeness of his/her vehicle, ….
Also, the taxi companies can defeat other competitor companies by using this new feature in their automated dispatching system.

Exploring Inventory optimization Through Small Business

Upon completion of the project the interns work will allow the partner organization to better understand
how inventory management is handled in small businesses. The project will also help understand what
inventory levels should be for small businesses based on predictive analytics.

Linguistic Data Science for the Development of a Business Corpus

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment analysis and emotion mining technologies. Specific rules will be used to strengthen these labels. Last, a cognitive social analysis on human behaviors and team dynamics will be completed within a business meeting.

Towards a Universal Cloud-based IoT Platform for Smart Applications

With the Internet of Things technology, a multitude of small devices and sensors are connected to the cloud and social networks using the Internet. These devices generate a huge volume of data, which can be used to discover trends and profiles. This enables building diverse useful applications for our modern society. This project is a collaboration with the industrial partner ACME Engineering Products, which manufactures sensing technologies.

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