In this project, by considering a team of heterogeneous robots available at the host institution, the intern will develop a trajectory planning method that ensures target enclosure in the presence of noisy measurements. Such a planner will leverage a positioning algorithm developed to take advantage of all the robots’ onboard sensors. Specifically, the objective of […]

This project deals with the continuation of a project at Concordia University in 2020 via Mitacs Globalink research award. The project investigated different manufacturing scenarios of a thermoplastic skin/grind structure using automated fiber placement (AFP) in the Concordia Center for Composites labs. The thermoplastic skin/grin structure was successfully fabricated via AFP in-situ consolidation. Now, this […]

This research project consists in obtaining detailed information about the structure of a particular class of crystalline materials named metal–organic frameworks, comprised of inorganic nodes interconnected by organic linkers. Their highly ordered structure allows the use of routine characterization techniques to earn insights about the organization of atoms and molecules within their framework. However, due […]

It is imperative to have sustainable infrastructure that emits as little greenhouse gases as possible by 2050 in order to reach net-zero emissions. The key component of this strategy is development of CO2 capture units, as well as the use of renewable energy sources. By incorporating renewable electricity to meet the energy demand of high-temperature […]

The objective of this internship is to develop a multidisciplinary collaboration to better understand the complex factors that influence industry adoption of fault detection and diagnostic (FDD) tools for commercial buildings. More specifically I will focus on how interface design influences usability and perceived usefulness, and how information from FDD tools ultimately lead to fault […]

Our experience of music is multifaceted, including aspects of movement, emotion, timing, and expectation. Accordingly, music cognition recruits a wide range of brain areas during both passive listening, and musical performance. However, the extent to which these brain regions interact with each other is not fully understood. Recent research has indicated that synchronization of neural […]

Climate change is an important driver of environmental modifications and creates important changes in the ecosystem functioning. It is important to be able to follow these changes, but following whole ecosystems is impossible. Thus, it is recommended to follow bioindicators accurately reflecting the environment state. Arthropods (spiders, insects, etc.) are particularly sensitive to climate changes […]

Age-verification mandatory procedure for delivering certain services and products. Traditionally, identification documents have been a common mechanism of age-verification. However, this current strategy is subject to certain risks regarding privacy protection and online forgery. This demonstrates the value in anonymous age verification schemes using biometrics. Considering its age-dependent attributes, Electrocardiogram (ECG) is a potential solution. […]

Safe and healthy weight loss is becoming increasingly important as the obesity burden in Canada continues to grow, with 63.1% of adult Canadians classified as overweight or obese in 2018 according to Statistics Canada. Ketogenic diets are diets that are low in sugar and are very popular for weight loss. However, these diets may be […]

In recent years, the rise of ultrabooks and mobile devices has been accompanied by an ever-increasing need for reliable high-bandwidth wireless communications. Their widespread use, combined with the industry’s move to virtualized cloud services, has put additional pressure on the Internet’s back-end infrastructure. Moreover, this increased load has coincided with a progressive shift in use-cases, […]

In practical machine learning problems, it is important to understand impact of features on models’ predictions. Such an understanding helps not only better explain the black-box machine learning models but also enables their effective applications in business environment. The general model explanation approaches make an untenable assumption that the model’s features are uncorrelated, which can […]

The project is mainly in the domain of achieving real-time computational speed of methods to remove noise from video signals (for example, those taken by a professional cinema camera). Specifically, in this project, we propose first to improve the speed of current technology that we have developed in previous MITACS projects, in order to make […]