Mastercard is looking to make transactions simple and secure for its customers and vendors across the globe by harnessing the power of graph learning. In this project, the power of graph-based deep learning will be utilized to develop a system that can detect fraud entities, anomalous communities, etc. This track will enable card users and […]

Over the past few years, deep neural networks (DNNs) have been used to solve a wide range of real-life problems. However, DNNs are vulnerable to adversarial attacks where carefully crafted input perturbations can mislead a well-trained DNN to produce false results. As DNNs are being deployed into security-sensitive applications such as autonomous driving, adversarial attacks […]

A web task is defined as the set of services, sessions, and sequence of interactions that are required to perform a certain user objective. The current Web tasking model does not consider user preferences and context when executing a Web task. The proposed research project aims to improve the experience of Web users through personalization […]

Complex sites with concentrations of inscriptions and rock drawings (petroglyphs) in the Upper Indus region in northern Pakistan are threatened with inundation in a flood zone of Diamer-Basha dam. These invaluable cultural heritage resources comprising over 30,000 petroglyphs and approximately 4000 inscriptions abraded into the desert varnish on the surfaces of rocks at dozens of […]

The proposed study will extend the findings of the current literature through the following objectives: 1) to understand individual’s ability to use visual information to accurately avoid an approaching person; 2) determine the role of environmental objects (i.e., doorway) in regulating avoidance behaviours; and 3) determine any concussion-related avoidance behaviour changes. To meet these objectives, […]

Low back pain (LBP) is one of the most prevalent musculoskeletal conditions globally; it has claimed the number one spot for global burden, the number of years lived with disability, and health condition requiring the most rehabilitation services. Despite the commonness of LBP, there is a lack of understanding on the deficits associated with chronic […]

Many studies worldwide use neuroimaging to investigate whether there are abnormalities in the structure or function of the brain that underlie mental disorders. The sample sizes in these studies are limited because of the high cost of neuroimaging and difficulties in recruiting large numbers of patients if the disease is rare. This is a problem […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

Stroke is the number one cause of adult disability in the world. Due to the neurological damage from stroke, a vast majority of individuals suffer from hand function disability (~70%). To improve hand function and overcome challenges from this disability, IRegained has developed the MyHandTM system, a connected mechatronic device with programmed proprietary hand function […]

Tiresias is a client private solution to malware protection and threat intelligence. Tiresias allows a user to put all their incoming files in a cryptographically secure Data Chest locally. After sending the Data Chest to our cloud environment, our AI scans and infers if it is malicious without seeing the actual file content from the […]

The proposed work under this award program involves fabrication of functionally graded B4C particle reinforced AA6061 metal matrix composite through stir-centrifugal casting technique. Subsequently, the deformation behavior and fatigue failure analysis of the fabricated composite will be carried out. The 2D microstructure, constituent phases, particle distribution, and gradient will be revealed by light and electron […]

The proposed doctoral research aims to use Igbo Hometown Associations in Nigeria as a context to explore identity-based associational groups that operate locally but with ties to transnational migration dynamics and their diaspora. Specifically, it will examine how these ties enable their acting as non-state governance actors that self-organize to provide public goods, despite weakness […]