Several engineering equipment ranging from those used for portable power generation, to medium scale gas turbine aircraft engines, and large scale land-based power generation units burn fuel to produce either electric energy or generate propulsive force. This energy conversion takes place inside a combustion chamber which emits noise and combustion pollutants. The objective of the […]

The student will develop a recommendation system for restaurants, proposing food selections to customers. This system will be based on GNN models to predict a customer’s need based on both user and order data. The data include previous purchases, data of dishes and similarity of users collected from online food orders. In the first phase […]

As a full-service, data-driven solutions provider for aviation, SKYTRAC Systems is developing new 2-MCU satellite communications (SATCOM) terminal, SDL-350, which will be capable of achieving globally available broadband transfer rates of 352 kbps both to and from the aircraft. One critical challenge facing the R&D engineers of SDL-350 is the thermal management, because the power […]

This project will produce a useful simulation of a 5G mmWave Cell site. This simulation will allow the Industrial Partner to evaluate and optimize the operation of a typical 5G Cell site. The simulation will model a 5G phased array antenna connected to a Base Station which will be able to create focused beam radiation […]

This project aims to detect 3D brain lesions automatically using machine learning and MRI images. Given an MRI image of a brain, the project will automatically detect any size lesion. The project will establish a baseline, as well as improvement over the baseline for which performance metrics will be validated. The partner organization benefits from […]

Malicious websites in general, and phishing websites in particular, attempt to mimic legitimate websites to trick users into trusting them. The goal of the project is to develop algorithms for detecting these malicious websites in two contexts: • detecting if a site visited by a user is a malicious site • detecting malicious sites that […]

We present a method for automatically estimating the lighting conditions from a single image. As opposed to most previous works which proposed methods that estimate only global lighting or use a limited illumination representation (low frequency SSH, parametric model), the proposed method attempt to use a new spatially-varying light representation with realist texture to render […]

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in […]

Virtual environments represented by multibody system models play an important role in many applications. Adding the possibility of the user directly interacting with such environments via physical touch using haptics can significantly enhance the usability and range of application of simulated environments. In this project we particularly target two main objectives: (1) the multirate-simulation and […]

Children living with NDDs are often dependent on their parents and healthcare providers. As these children reach adolescence and prepare to transition from the pediatric to the adult health care system many issues affecting their autonomy are currently not being addressed. In addition to feature articles, sidebar articles with multimedia components will further examine these […]

Computer attacks such as viruses, Trojans, etc. are a continuous problem for governments, companies, and individuals. The most common methods of detecting these computer problems like anti-virus systems rely on an attack being known and described before it can be detected. This opens a hole in computer security systems for new attacks that have not […]

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends […]