Automatic Resizing Framework for Time-Varying Non-Space Filling Visualizations

“We propose the development of an automatic resizing framework for time-varying visualizations. This framework would support easy deployment of visualizations on a multitude of devices with varying display sizes. The second objective of the project is to address issues of data  is interpretation that could arise as a result of visualization resizing through the use […]

Read More
Species tree inference from multi-labeled gene trees

Reconstructing the tree of life, which depicts the evolutionary history of today’s existing species, has been a central goal of evolutionary biology ever since Darwin. Each species is composed of a set of genes, which can be grouped into families. The DNA sequences of genes can be used to infer a gene tree for each […]

Read More
Design and Implementation of Bio-Inspired Student Clustering Approach Based on Students’ Annotations on Web-based Reading Materials

When students read a book, they usually annotate important words in the text. Students may perhaps miss some important information while reading the book. If students are reminded about the potentially important annotations, they may achieve better academic performance later, in terms of having better marks for written exams, quizzes, and other learning activities. With […]

Read More
Compromis entre efficacité énergétique et protection aux pannes dans les « Software Defined Networks ».

Les réseaux de communications, notamment l’Internet, connaissent une importante croissance ses dernières années. Cette croissance s’accompagne d’une complexité grandissante ainsi que d’une consommation énergétique de plus en plus élevée. Les technologies actuellement déployées ne sont pas adaptées pour faciliter l’économie d’énergie sur des réseaux de grandes tailles. La technologie SDN nous offre un meilleur contrôle […]

Read More
Modelling of Surgical Workflows

Minimally invasive interventions are becoming increasingly common as they improve patient outcomes such as recovery time and infection risk; however, these procedures can be difficult for operators to learn. To improve surgical training efficacy, computer-assisted training, which must provide feedback in the form of instruction and skill evaluation, can be used. The training system must […]

Read More
Improving bend gesture accuracy using simulated tactile properties

Bend gestures on flexible devices allow users to provide subtle and continuous input to a computing device by bending a corner or a side of the device in question. The depth of bend can be used to control, for example, the speed at which the user scrolls through a document. This kind of input could […]

Read More
A Framework for Accelerating Radar Simulation on Heterogeneous Parallel Platforms

In the context of aircrew training on flight simulators, the simulation of the radar system requires a large amount of calculation which needs to be performed in real-time. Mapping the virtual environment (landmass, vegetation, buildings, roads, etc.), modeling energy propagation and performing the post-processing are among the most intensive tasks. Most of these are currently […]

Read More
Educational Reward Plug-In for Massively Open Online Course (MOOC) Platform

Reward is a common way to increase students’ learning motivation in traditional classroom learning. The traditional rewards, such as stamps and stickers, are usually symbolic and valueless to students and may not get students motivated. This project proposes an educational reward plug-in for massively open online course (MOOC) platform like Moodle and edX where students […]

Read More
Optimizing response prediction by an interactive tutoring system

The aim of the project is to increase the intelligence of an automated, online tutoring system, using state-of-the-art techniques and concepts from cognitive science and computer science. This will be accomplished by integrating more data about each learner, and by implementing a more advanced model able to predict learner behaviour. The improved system will better […]

Read More
Integrating Computational Linguistics into Game Analytics

Game analytics is a rapidly growing and increasingly important quantitative element of game development in which player and play data is analyzed to discover actionable information to guide monetization and future development activities. Textual and linguistic analyzes are rarely (if ever) used in practice for game analytics, yet these techniques could provide a wealth of […]

Read More
Expert Gestures for Multi-touch Interaction

Modern smartphones and tablets, and many notebook computers rely on multitouch interaction to augment keyboard and mouse input. Multi-touch gestures typically consists of taps and swipes – simple gestures that don’t exploit the full range of technical and human capabilities. In earlier work, we determined that users are willing to learn expert-level gestures, but often […]

Read More
Automatic Image Filtering Using Deep Learning

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) […]

Read More