Blockchains are a new technology that are finding applications across several domains. Participant privacy in a blockchain is a major concern for this technology, and this project focuses on studying privacy attacks and defenses in several kinds of publicly deployed blockchains. Specifically, the project will focus on how a participant’s location in the network can […]

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 […]

This project will support the development of comprehensive, multidisciplinary Smart Building, Smart Transportation, and Smart City management systems in order to improve energy performance, operations cost, safety and reliability for large infrastructures in the private and public sector. The research problem to be addressed is to develop effective methods to ingest and analyze massive amounts […]

State-of-the-art computer graphics technology allows for the generation of images and animations that border on photo-realistic quality; however, this level of fidelity is often reserved for feature-film productions where the time budget is much more flexible. In the case of interactive graphics, such as approaches that are used in video games, similar demands are made […]

An important concept in industry and science is the occurrence of rare events: events that occur with low probabilities but have significant impacts. Examples of rare events include the chance of an automobile insurance holder filing a claim or credit card accounts are compromised. The proposed project investigates applications of machine learning algorithms in the […]

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can […]

With this project we propose a re-thinking of ICT infrastructure to include a framework that exploits commodity many-core systems to evaluate models. The framework permits comparison, evaluation and improvement of competing and complementary models and appear to hold promise. Our proposal focuses on the computationally intensive tasks associated with near-field Tsunami detection, leveraging parallelism to […]

With the growth of mobile device platforms such as smartphones and tablets, users now primarily experience the wireless networks they uses, whether cellular or WiFi based, through the context of the apps that they use. Hence, a heavy 8kype user may perceive a given network to be of substantially different quality than would be perceived […]

Hololabs Studio Inc. is developing a mobile platform called Diyorama, which enables users to arrange images into interactive 3-~ scenes with an aesthetic similar to paper craft and collage art. Users can include images from their photo libraries, social networks, or image search results in order to create customized playable scenes from existing content. The […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN […]

Municipalities are seeking ways to reduce the effects of uncontrolled rainwater and one of the primary contributors to the problem is residential downspouts. Downspout disconnections and redirections are low-cost ways to reduce the overall imperviousness of urban and suburban landscapes and ameliorate stormwater issues. This project will use machine learning to analyze Google street view […]

This project intends to research the building of scalable, low-cost and robust alternatives andimprovements to existing systems for mineral sensing and sorting in order to achieve greaterproductivity and efficiency by means of improving speed and accuracy in the process of miningminerals from low grade rocks. The project will combine developments in embedded and streamingsystems, parallel […]