With the steady production of 3D movies, there is an increased availability of 3D stereoscopic video content, paving the way for the deployment of 3DTV to the general consumer market. Auto-stereoscopic displays, those that produce 3D without the need to wear glasses, are a viable technology for the home environment and are obtaining a lot […]

Ultrasound imaging is an ideal tool for studying the tongue motions involved in speech as it provides very rich information while being relatively inexpensive and non invasive. Its use has thus become widespread among speech scientists. The analysis of ultrasound video sequences of the moving tongue poses a number of challenges pertaining to the reliable […]

RFIC PA (RF Integrated Circuit Power Amplifier) designers often face the difficult challenge of bridging the gap between simulation data and experimental results, which negatively impacts the design convergence and time-to-market considerations during the development of complex amplifier structures. This is particularly severe when dealing with nonlinear circuit techniques during the practical development phase. Design […]

Project description: The selected interns will work with graduate students on developing novel methods to analyze functional and structural brain connectivity. Two applications are considered for this project: brain fiber clustering and dynamic functional connectivity analysis. For the first application, recent machine learning techniques, based on dictionary learning, will be used to group the white […]

The objectives of the proposed research projet are: • To design a cold asphalt mix that contains as much recycled materials as possible but that behaves like a hot mix asphalt (HMA) o Reclaimed asphalt pavement, recycled shingles and recycled tires will be used • To evaluate the rutting resistance, complex modulus, fatigue resistance and […]

Research on fluid simulation is ongoing at the Multimedia Lab of ÉTS, currently focusing on SPH liquid simulation. Fluid simulation requires lengthy computation times and should allow some artistic control. Parallel computation approaches are promising for reducing the computation times. Examples of such approaches include the works of Zhang et al. [Y Zhang, B Solenthaler, […]

Organometallic reactions are important in organic synthesis and are versatile in creating new C-C bonds. In the past decade, late-transition-metal catalysis has gained increasing attention culminating in the 2010 Nobel Prize in Chemistry award for three seminal palladium catalyzed reactions. However, the commodity metal nickel is more economical and desirable than the other d10 elements, […]

The Research Chair on Gambling was created at Concordia University in April 2012 (FRQ-SC 2012-2017), its first in Quebec. The Chair provides the research infrastructure on social inequities and lifestyles related to gambling, gaming, and internet use through research, training, and knowledge transfer to partners and collaborators. The main objectives of the Research Chair are […]

There exist few technologies worldwide for the treatment of large areas of polluted salt and freshwaters. It is proposed to develop technology for in situ treatment of lakes, ponds, and rivers. The main objective is to develop a system for the in-situ restoration, management, and control of water quality to reduce incidences of cyanobacteria blooms […]

Corruption is recognized as a major factor hindering the development and advancement of countries where it is prevalent. (By “corruption”, I specifically mean “political corruption”, “the use of powers by government officials for illegitimate private gain” [Wikipedia].) Even where the incidence of corruption is relatively low, corruption when exposed has had dramatic effects, including changes […]

A sense of urgency has emerged in the last decade about the future of science journalism. While it is often argued as an important source of information for non-specialists, science journalism has been heavily criticized as unable to connect with citizens in ways that allow meaningful engagement with science. This critique has intensified as diverse […]

With the advances in big data analyses, the estimation of models is a more and more important issue. Two main estimation techniques are prevalent: least-squares minimization and likelihood maximization. These problems are typically solved using iterative optimization techniques, but given a model and an initial, the time required to obtain satisfactory estimates can be prohibitive […]