The goal of the project is to evaluate several clustering algorithms on players’ styles data in the context of Video Lottery Terminals (VLTs). The previous work has shown that by segmenting anonymous player data by sessions, and then clustering the sessions using the simple k-means algorithm, we can get a descriptive statistic on player styles, […]

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 advent of 5G (fifth generation) telecommunication networks also brings new security challenges, in addition to many benefits to the community. Such is exemplified by its special nature of technology (as well as the new business model) and its deep involvement in people’s everyday life, hence more critical. We need proper security metrics to tell […]

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets. This can be explained by unexpected deviations from the plan or systems that are not properly configured. Quite often it is too expensive to have planners continually track all situations in supply chain systems at a […]

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

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 […]

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.

The project will consist of taking an out of the box artificial intelligence technology solution. The research will involve researching its deficiencies and improving on them by creating a proprietary solution to maximized its efficiency and ability to mimic human interaction. In this particular case, the way that IBM Watson discovery collects information from the […]

The proposed research involves the development of software capable of fitting a piece of clothing to an avatar based upon customer measurements. The development would include the creation of avatar geometry from photographic information and the computer simulation of fabric based on physics. The project would also include interfacing with clothing merchants through the partner […]

type of treatment they will provide to patients. With technological improvements and the availability of a significant volume of data, it is increasingly difficult for care providers to properly evaluate and analyze the options available to them. The current health condition of the patient–reflected in the monitored observations which are recorded in EMR–may depend on […]

Anticoagulation with Warfarin is indicated and required for post-operative cardiovascular patients. However, it is a high-risk medication with a narrow therapeutic range where sub-optimal dosing can lead to complications and even death. While multiple risk factors have been associated to Warfarin sensitivity, the prediction of optimal Warfarin dosing strategies remains ineffective and requires trial and […]

Optimizing plant processes is of prime importance now more than ever. With stricter infrastructures being placed on safety, environmental effect, and corporate social responsibility, more complex systems that optimize these factors are needed. These complex systems with advanced algorithms are intended to further streamline the existing process while mitigating issues leading to a safer workplace, […]