The new generation 5G wireless networks will have a huge impact on the society due to the high bandwidth and capacities they provide. The traffic volume is expected to grow significantly and new varieties of applications, e.g., Internet of Things and vehicular networking, are anticipated. As a result, effective management of the new networks will […]

In the end of this project, the proposed design will be published in two peer-reviewed journals. Also, the measure the data will be saved and analyzed in the UW-STREAM lab. After the analysis, the data converter speed, the channel selection capability and also the power consumption will be summarized and reported. From those data, both […]

Since the mid 1980s, moving access points, such as Wi-Fi, closer to network devices has been the largest contributer to improved data rates and this trend continues, but its scope is more difficult for rural internet service providers. The second technique is from the choice of the assigned spectrum and how this choice relates to […]

The goal of this porject is to develop a prototype system for human presence/activity detection through radio frequency signals. There have een some recent promising results reported in the literature regarding such detections through WiFi signals using artificial intelligence-based approaches. The postdoc will focus on reproducing earlier results, then move on to enhance the system […]

This project aims to monitor the communications among the devices connected in a building automation system. It is important to detect any changes in the normal communication pattern of the devices. Such changes often signify a change of operational behavior, caused either by a failure or an impending breakdown. In the worst-case scenario, anomalies deviated […]

Computer hardware is enjoying a widespread renaissance with the emergence of the compute-intensive and challenging machine learning workloads. ABR develops and maintains NENGO, a biologically-plausible model for neural networks and is keen to develop hardware support for efficient realizations of these networks. FPGA (Field-Programmable Gate Arrays), are an attractive target for this if we can […]

The major contributing factor to waterborne outbreaks in Canada in small drinking water systems is the operators’ lack of technical expertise. Training of small system operators do not cover hands-on training specific to the treatment technologies used in their plants. A simplified smartphone app with real-time monitoring can assist the operators with the decision making […]

[Reseach Abstract. Project Overview missing] simulation package available) to simulate a zooming system composed of tunable liquid crystal lenses that is capable of aberration correction. The first component of the project consists of simulating a liquid crystal lens in COMSOL. The liquid crystals rearrange themselves based on a space varying electric field created by the […]

In this project the intern will work with time series data containing different parameters from a flight simulator. The intern will take these data and assess different learning as well as change point detection algorithms that can identify and segment pilot reactions to malfunctions and assign these reactions a proficiency metric. One of the possible […]

Increasing visibility into asset inventory and gaining situational awareness in industrial control system (ICS) environment are of critical importance for electric utilities to effectively manage cybersecurity risks. In this project, we aim to investigate the solution design for electric utilities to automate asset management in an ICS, addressing the unique challenges such as device heterogeneity […]

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices […]

The secure and reliable operation of an electric power grid is critical to national security. Power grid components such as the state estimator used to monitor the operating state of a power system are subject to cyber-attacks. Previous works show that an intruder can compromise the state estimation by injecting the pre-designed false data into […]