Connected Cars is an emerging technology that aims at enhancing driving experience and improving safety, productivity, and integrity of transportation systems. Intelligent Mechatronic Systems Inc. (IMS) is a leader in telematics and infotainment technologies, including the convergence of both technologies in delivering the ultimate connected car experience. One of the core components in connected cars environment is an accurate and robust positioning system that can work in all environments. Current location technology is dominant by the popular Global Positioning System (GPS).

Statistical and harmonic analysis of 3-dimensional motions of objects or humans are instrumental to establish how these motions differ, depending on various influences. When such motions involve no tearing, they may be described

We propose the construction of novel ultrasound transducer structures based on existing MEMS technology that has been in development through collaboration between Micralyne and Prof. Roger Zemp. We will be exploring linear array transducers intended for medical imaging, and individual transducers for automotive use for ultrasound range finding. We will undertake the design, modelling, fabrication, packaging, and testing of the devices. The end goal is to produce commercially-viable transducers that may be used as replacements for the current generation of piezoelectric-based transducers.

Workplace incidents usually need to be reported and it is important to ensure that they are resolved in a timely manner. To understand the procedures involved in an emergency response to a workplace incident, we have started investigating the existing practices of the McGill University Safety office by interviewing their personnel. We focused our investigation on chemical spills that occur in the workplace, and found potential areas of improvement in their practices. These potential areas of improvement can be addressed by mobile sensing.

The goal of the proposed research project is to explore applications of frequency combs, for which laboratory applications have already been demonstrated, in an industrial setting. The research will be mainly focused on chemical sensing of stack emissions for monitoring purposes. As a secondary objective, the use of frequency combs in vibrometric measurements for structural health monitoring applications will also be explored. For the most promising applications, the project will be concluded with work on a development roadmap for a commercial platform.

Networks are pervasive in our world. From migrating birds flying in formation, to social groups, wireless networks, world-wide web, the examples are endless. Migrating birds, such as the Canada goose, are a good example of a network between agents where information is communicated based on real-time musical (acoustic) signals. Inspired by this example, the research problem being addressed in this proposal is the real-time autonomous response of a network of quadrotors to acoustic inputs in a choreographic performance.

Future cellular systems must accommodate increasing demand for very high throughput and low latency data services. Massive multiple-input multiple-output (MIMO) approach involving base stations equipped with much larger numbers of antennas than the numbers of users served promises to significantly increase network capacity, while nonorthogonal multi-carrier transmission is expected to dramatically reduce the latency.

Future cellular systems must accommodate increasing demand for very high throughput and low latency data services. Massive multiple-input multiple-output (MIMO) approach involving base stations equipped with much larger numbers of antennas than the numbers of users served promises to significantly increase network capacity, while nonorthogonal multi-carrier transmission is expected to dramatically reduce the latency.

The ultimate goal of this project is to detect and localize leaks in pipelines in real time. Hifi Engineering has developed distributed fiber optic sensors. Measurements are obtained at evenly spaced intervals along the pipeline (called channels). This project aims to develop data processing tools to improve leak detection and localization. Many events occur along a pipeline whose effects are registered by sensors (trucks driving by, compressors turning on, leaks). Events are registered in many channels as sounds propagate down the pipeline.

The accurate localization of facial keypoints in static images, and their tracking in video has many potential applications. In this project we will address the problem of fine-grained facial keypoint tracking using multiple images and cameras, possibly including depth cameras. We have identified three potential partners, each of whom focus on applications that require the accurate localization and/or tracking of facial keypoints. In one potential application we are interested in detecting certain congenital syndromes using detailed facial analysis.