As brain computer interface (BCI) is an emerging technology, this project attempts to understand the functionality of this technology from the user’s perspective. To achieve this goal, a BCI-based application is developed, and users’ ideas are collected from pre- and post-experience surveys. The previous study dealt with functionality of BCI in technical level and this […]

The research will focus on building a deep learning model to analyze video and audio streams of input video material, essentially creating something like a table of contents, for example: * Minutes 0-3: Introduction. Our topic is binomial coefficients. * Minutes 3-4: Problem source. * Minutes 4-6: Details of the mathematics. Calculations of values. * […]

Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence […]

In the past decade, deep learning models have demonstrated their highest performance for a variety of tasks. These models outperformed classical machine learning models and even humans in terms of performance and accuracy. However, previous research indicated that these models are vulnerable to out-of-distribution and adversarial inputs. Ideally, these inputs should be rejected by the […]

The primary objective of this project is to automatically extract accurate footprint maps of buildings from remotely sensed data such a satellite/aerial images. In recent times, deep learning approaches have shown significant progress and success in processing remote-sensing image data. Most prevailing techniques used for this task often involve using pixel-level classification deep learning techniques […]

The project utilizes functional magnetic resonance imaging (fMRI) to identify brain areas involved in processing speech sounds. We make use of simple English minimal pairs, words that differ in just one sound in the same position (e.g. sip vs. zip), to scan pariticipants’ brains while they perform three different kinds of tasks — uttering words […]

Autonomous flying vehicles are the future of aerospace industry. They require a robust trajectory tracking algorithm capable of finding an optimal solution in real-time. Optimal control, such as Nonlinear Model Predictive Control (NMPC) is a powerful technique which can handle the nonlinearities of a system by including the restrictions and constraints of its states and […]

Topological data analysis is a tool used to analyze the shape of a given dataset. It allows one to find topological or geometrical features of even large collections of data. Persistent homology is one of the main approaches to topological data analysis in recent times. The strategy is to set some rule to build geometrical […]

In this internship, we will leverage the power of AI multi-modal algorithms to build a system for predicting the risk of cardiovascular (heart) diseases by extracting features from tabular data (clinical data and demographics) and the medical images in order to predict the risk of cardiovascular diseases at 5 years and 10 eyars. We have […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

L’apprentissage profond, un type d’intelligence artificielle, consomme une quantité phénoménale d’électricité. Les réseaux neuronaux, à la base de cette technologie, sont présentement implémentés sur ordinateurs. Or, il est possible de créer des réseaux de neurones fonctionnant à l’aide de la lumière, des réseaux de neurones photoniques. Cette technologie pourrait permettre de réduire la consommation d’électricité […]

The project is part of a Master’s degree Thesis titled “Imitation Learning for Gait Similarity Optimization in Bipedal Locomotion Robots”, which aims to study the application of artificial intelligence techniques to allow humanoid robots to learn how to walk in a way as similar as possible as a human does. Specifically, the project to be […]