A scalable FMI-compatible cosimulation platform for distribution grid cybersecurity studies using data analytics

The objective of this project is to develop and customize a cosimulation platform capable of integrating multi-formalism simulators for SG cybersecurity analysis. This enables one to provide a cosimulation platform which is characterized by scalability (no limitation in terms of nodes/buses of communication/power systems), compatibility with the Functional Mock-up Interface (FMI) standard and capability of synchronized integration of any two abstract simulators (NS-3, OMNeT++ for communication network and EMTP, MATLAB/Simulink for power system).

Brown Builds: Optimizing Build Performance and Comprehension

Modern software organizations use continuous integration (CI) practices to build and test their products after each code change in order to detect quality issues as soon as possible. Unfortunately, the number of builds scales super-linearly with the number of hardware and feature configurations that should be supported. In order to avoid running out of build resources, organizations are no longer able to build individual code changes, but instead need to build groups of successive code changes. Worse, certain ?flaky?

Predicting the Behavior of Loyalty Programs Customers Using Interpretable Patterns Based on Logical Analysis of Data

Aeroplan Inc. ("Aeroplan") , aims to redesign and optimize its loyalty program Aeroplan via a collaboration with Polytechnique Montréal. Customers affiliated with Aeroplan’s program earn miles through their purchases and can exchange these miles for various gifts. It is essential for Aeroplan to predict customers behavior, to define the causes of certain behaviors and to predict the consequences of applying different policies, e.g. offers or gifts value.

Mechanical characterization of phage-coated implants for the prevention and treatment of periprosthetic joint infections in high risk patients

Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, and even mortality, among affected patients. Therefore, clinicians would find invaluable a technology with a potential to manage PJI on implants.

Personalized Wealth Management Advisor based on the Analysis of Times Series Related to Financial Transactions

The aim of this research project is to develop innovative tools that will help financial institutions deliver highly personalized services to their customers. We intend to use the most recent advances in statistical learning methods and machine learning algorithms mostly in deep learning, vector embeddings and autoencoders, to leverage the power of time series models by extracting high-level features from both assets and customers’ transactional data.

pH equilibrated water for pets

VETWATER (Sainte-Brigide-d'Iberville, QC) produces pet equilibrated water under the commercial name of "VETWATER urinary solution for cats" (VC), which helps preventing urinary crystals and stones (urolithiasis) by equilibrating pH strictly in the 6.2-6.4 range. Besides urolithiasis, feline lower urinary tract diseases (FLUTDs) affect the urinary bladder and urethra of cats without any obvious underlying cause- so called "feline idiopathic cystitis" (FIC).

Fly-By-Wire INDI-Based Generic Control Laws for Flexible Civil Transport Aircraft

On the one hand, new generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire (FBW) controller.

Improving energy system planning solutions by accounting for inherent uncertainties through robust optimization

More and more distributed energy resources (smart loads, self-generation, electric vehicles, etc.) are installed directly at the customers.  This causes fluctuations in the distribution network that can reverse the power flow or increase the cold pick-up effect.

Development of instruments and methods engineered to mitigate the impact of non-tissue specific background sources for intraoperative spontaneous Raman spectroscopy applications

The interns will develop novel technologies using laser light to interrogate molecular vibrations in biological tissue setting up the stage for the next generation of intraoperative imaging techniques used to guide surgical interventions, including the resection of tumours in prostate and ovarian surgery as well as in neurosurgery. The partner organisation (Optech) is an organisation specialisation in the optical design and systems characterisation and this project will allow them to expand their base of knowledge and expertise in biological tissue.

Exploration of machine/deep learning techniques using Raman spectroscopy for the identification and classification of brain tumors and prostate cancer

Cancer cells are nearly impossible to distinguish from normal tissue without sophisticated detection methods and conventional methods fail to provide real-time information during the surgical procedure. ODS Medical is developing an exclusive Raman spectroscopy system that collects data through an optical probe and is interfaced with sophisticated machine learning algorithm to identify tissues abnormalities in real-time. This technology has proven to be effective for brain tumor and prostate cancer detection. As a result much larger datasets have been acquired both for brain and prostate.