Cameras apply a lot of processing on the raw image recorded by the sensor to enhance the brightness, contrast, and colors, and make the output image visually pleasing. The image is also finally compressed to make the file size smaller. These operations make it difficult to reverse to the raw sensor image which is necessary […]

For this project, we will develop the statistical theory to support, as well as a full functioning prototype for, a large-scale multidimensional data visualization application. This application, which will be fully scalable, will include an interactive user dashboard with customizable widgets. By taking a methodological approach to research, along with an agile approach to development, […]

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve agricultural practices. The sensors that are installed in the field transmit real time data regarding numerous environmental variables […]

Our long-term agenda associated with this two year proposal is to address the needs of researchers working with large-scale scientific applications through our contributions to highly parallelized system infrastructure software. At the application level, we are targeting real-world projects such as the computational demands associated with the Pacific Institute for Climate Solutions and NEPTUNE Canada. […]

Knowledge graphs store facts using relations between pairs of entities. In this work, we address the question of link prediction in knowledge graphs. Our general approach broadly follows neighborhood aggregation schemes such as that of Graph Convolutional Networks (GCN), which in turn was motivated by spectral graph convolutions. Our proposed model will aggregate information from […]

The proposed project aims at developing an enterprise-level CDMA2000 Communication System based on SIP Soft Switching technology and CDMA2000 emerging technology. It is called an enterprise-level communication system because it has typically only thousands of subscribers rather than millions of users as in the case for carrier-level systems; furthermore it has to be cost effective, […]

To investigate how artificial intelligence techniques can be applied to improve productivity in computer-mediated work contexts, including email and messaging applications. We look at how to leverage features in data to make better guesses about when someone is productive, and create intelligent assistants to help people stay productive.

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

This fundamental research project investigates semantic visual navigation tasks, such as asking a household robot to “go find my keys”. We seek to enhance the efficacy of repeated search tasks within the same environment, by explicitly building, maintaining, and exploiting a map of locations that the robot had previously explored. We also seek to exploit […]

View materialization in relational database systems helps in improving the performance of querying the stored data. With the emergence of large scale data analytics, there are several challenges that need to be considered for robust view management. In this project, we study the performance of materialized views at large scale, when there are thousands of […]

In the recent years, blockchain technologies have shown promise as infrastructure for decentralized trustless anonymous digital asset exchange. The technology promises to transform how the data is shared in many areas including financial sector, insurance and gaming industries. Yet several obstacles prevent mainstream adoption of this technology – one of these challenges is security. To […]

The new wireless network technology will provide users with a higher communication quality. However, we will face two critical problems: the wireless traffic will increase considerably, and the wireless signals will contain noise. The Wifi signals are represented as time series, but processing and removing noise from such huge-volume, high-dimensional and complex data pose great […]