Imaging Processing and Machine Learning in Clinical Microscopy

In many clinical laboratory and pathology testing procedures, visual examination of microscopic slides is needed, e.g., to classify disease developments, to detect the interactions of micro-organisms, to assess the effectiveness of drugs, to determine cell viability and proliferation, etc. These tasks can be found in many important clinical applications, including cancer research, hematology, pharmacology, and genetic testing.

Traditionally, these tasks are performed manually by a qualified laboratory technician.

Advanced modulation formats and coherent detection in optical communications

Our research group examines techniques for mitigation of impairments in optical communications links and for increasing the capacity of those links. We address both optical and digital signal processing (DSP) solutions from a systems perspective. Maximizing the capacity of fiber communications is the rally cry for research in optical communi-cations this decade, with focus on 1) high order quadrature amplitude modulation (QAM), and 2) higher baud rates.

Information and communication technologies in mathematics education (New)

Digital technologies are increasingly present in school, in various forms (specialized software, ipad, online work, reverse class ....). In this project, we will focus on the influence of these technologies on mathematics learning. Research can take many forms depending on the interests of the student:experimentation in the classroom of a particular technology,surveys of teachers and / or students, study of programms and textbooks, analysis of online resources ...

Low-Power and High-Sensitivity Interfaces for Integrated Sensors

Signals outputted from microelectromechanical systems (MEMS) transducers are often very weak, and the sensing interface circuits must exhibit very low noise levels to enable a large dynamic range of detection. Capacitive sensing interfaces exhibit high temperature stability, low power consumption, low noise, and are appropriate to implementations in CMOS. Different methods, such as switched capacitor charge integration and continuous-time current or voltage sensing circuits are potential implementation candidates.

Simulation of electrocardiograms in a computer model of the heart and torso

Atrial fibrillation is the most frequent rhythm disorder in humans (nearly 250,000 patients in Canada). It often leads to severe complications such as heart failure and stroke. Diagnosis of this arrhythmia is mainly performed through the inspection of electrical signal recordings (electrograms and electrocardiograms).

High Precision Mapping with Mobile Robots

The goal of this project is to explore active sensing strategies to map an environment as precisely and as fast as possible using teams of mobile robots, such as quadrotors and ground robots. Available sensors are assumed to include various types of cameras and RGB-D sensors (kinect), as well as standard navigation sensors (inertial, high precision differential GPS, etc.) for localization. The robotic networked team should take into account at each time the current uncertainty about the map, which depends on occlusions, shadows, etc., in order to replan the trajectories in real-time.

Infrared-Visible video registration

It has been shown in the past, that the combination infrared and visible images improves at short and long distance the detection and segmentation of people, which are the main object of interest in visual surveillance. Indeed, people in visible imagery can be hard to detect when the color contrast with background is low and when the illumination of the scene is poor. In contrast, IR imagery performs generally well in these situations. However, IR imagery is not perfect either as a good thermal contrast is required to detect people.

Tongue motion analysis using ultrasound images

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 extraction, tracking and analysis of the moving tongue contour.

Analysis and implementation of behavioral models for the development of advanced GaAs HBT/HEMT RFIC Power Amplifiers

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 oriented behavioral models (e.g. [1], [2]) that allow bridging this gap in a time efficient way are valuable to RFIC PA designers.

Liquid simulation for visual effects

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, et R Pajarola. August 2008. « Adaptive Sampling and Rendering of Fluids on the GPU ». In Proceedings Symposium on Point-Based Graphics. p. 137–146.] and those of Hérault et al.

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