This project aims at investigating the effect of communication constraints on cooperative manipulators. Afterward, the communication constraints will be detailed modeled, based on that the control strategy specifically for the multi-robot system will be developed. The stability of the system under the designed control strategy should be guaranteed, and the performance regarding the execution of […]

The Mobile Robotics and Autonomous Systems Laboratory of Polytechnique Montréal is specialized in drone development and applications. The intern will join the team in charge of developing a payload transport system with drones. IN this research work we will develop a simulation environment, validate the different control strategies in the simulation environment and implement the […]

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be […]

My proposed research project is devoted to Particle-in-cell (PIC) computer simulations to study the plasma waves instabilities in the exhaust plume of the Variable Specific Impulse Magnetoplasma Rocket (VASIMR) device. VASIMR is a type of electric propulsion plasma device, using the plasma as propellant, potentially for a long-term space mission with a much higher specific […]

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

In this project, we propose a continual learning approach to face the problem of catastrophic forgetting in online image classification problems. Concretely, we propose a model that learns how to mask a series of general modules in a deep learning architecture, so that generalization emerges through the composition of those modules. This is of vital […]

Detection of financial fraud is a priority for financial institutions. There are a variety of techniques and models that can be used to address the problem of financial fraud. However, as fraudsters are becoming more inventive and adaptive, they have been able to penetrate the conventional protective methods. This is one of the main reasons […]

This research will provide a prediction of sea conditions at a given location based on measurements from meteorlogic and oceanographic ‘smart’ buoys in the general area. The motivation is to provide redundancy in the measurement of sea conditions for safe navigation within the Halifax Harbour when the main smart buoy in Halifax Harbour fails or […]

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]

The purpose of this project is to allow the company to have access to useful insurance representations, encoding the diversity of contexts found in larger markets. This is expected to boost the performance of predictions for tasks learned in small data and highly variable target setting.

The aim of this research is to understand the recent encounter of cinema with a specific type of technology called Virtual Reality (VR) and which gives rise to new arrangements: cinema remakes itself or becomes another and the virtual environment lends to cinema its orthogonal ability to elevate the senses. Therefore, if this recent mode […]

We would like to develop slippery liquid infused surfaces for molding applications. Molding technology is of great importance in industry and understanding the wetting behavior of molding liquids (polymers/metals) is of fundamental interest and non-trivial as well because of the involved phase transition from liquid to gel/solid upon cooling. Thus, both wetting and post solidification […]