An Efficient Data Analysis Pipeline

The proposed research project targets computational performance improvements of an data analysis pipeline. The project has a duration of four months and aims to achieve two objectives: (1) to properly characterize the performance of individual stages of the existing data analysis pipeline in terms of execution time, memory, and I/O, and (2) to improve the performance of individual stages where possible. The intern will use methods learnt and developed during the masters research and apply them to a real-world system at Acerta Analytics Solutions.

Dam Seepage Monitoring using Distributed Optical Fiber Sensing

The safe operation of a dam, such as Mactaquac, necessitates regular integrity monitoring over the structure lifespan. Optical fiber temperature sensing can provide seepage monitoring throughout a dam structure providing the operator with location specific seepage rates. Since the monitoring will be continuous over time and potentially operate over the lifespan of the dam operators can identify trends and evaluate repair effectiveness.

Anomaly Detection using GAN

The proposed research project targets anomaly detection of event data. The project has a duration of four months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach on GAN for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply them to real-world data provided by the partner, Acerta Analytics Solutions, Inc. to evaluate the different methods.

Securing IoT in Transportation Applications using Blockchain

The proposed solution will address IoT security challenges by using the blockchain technology to create feasible trust mechanisms. We will develop a solution by which exchanged information remains trusted and confidential to be handled efficiently at different places, and we will apply it to a smart transport use case.

High-Fidelity Data Converters for Medical Diagnostics

Diagnostic medical devices work by translating our vital signs, such as neuron electrical activity and brain waves, into digital data that can be manipulated by a computer. High-speed computer processing improves diagnoses by presenting the physician with a numeric or graphical readout of important features extracted from the signal. Often, the ability of computer programs to extract the most diagnostically-relevant information is limited by how well the device can recognize and ignore background electrical noise common in clinical environments.

Development of a simulation model for prediction of performance of a novel positive airway pressure (PAP) machine for treatment of sleep apnea

The gold standard of treatment for patients with sleep apnea are Positive-airway-pressure (PAP) machines. PAPs provide a one-size-fits-all solution of providing the same therapy in terms of airflow to every patient and every breath. This causes frustration and discomfort for patients, therefore patients don’t purchase PAPs or purchase and don’t use them; leading to 4 times higher chances of stroke and 3 times higher chances of heart attacks as well as huge costs on the healthcare system.

Development of longwave IR colloidal quantum dot solar cell and Development of high throughput characterization methods for solution processed IR colloidal quantum dot solar cells

The potential candidates will help QD solar develop a nano-technology based solar cell using Colloidal Quantum Dots. The research will be focus on the Infrared (IR) portion of the sun’s energy spectrum where standard silicon solar cells are not effective at converting solar energy into electrical energy. More specifically this project will target longwave IR and when combined with QD Solar’s focus on shorter wavelength IR, will create a more complete offering to the marketplace.

Mix-and-Match Pipeline to Ease the Creation of New Facial Models for Video Game Applications

Ubisoft has an extensive database of character’s heads represented as polygonal meshes. Those come from two primary sources: processed 3D scans and models made by artists. It would be convenient to use this database to mix-and-match parts of characters to create new human-like character heads. Let’s say we wish to replace the nose of one character with another nose. We want the junction between the nose and the surrounding areas to be as seamless as possible while accommodating for the new nose, which could have a different size.

Ultra-low power connectivity platform for low power Internet of Things (IoT) sensor nodes

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

IEC 61850-Based Centralized Intelligent Station-Level Protection for Power Systems with Multi-Technology Distributed Energy Resources

Protection systems perform vital function in power distribution systems to ensure safety of public and equipment during network faults, and usually designed assuming a single power source supply. Distributed Energy Resources (DERs) are fast becoming an integral part of most Electric Power Systems around the world. Improvement in reliability, efficiency, power quality, and reduction in greenhouse emissions are some of the reasons behind this.