Online Job Scheduling and Risk Handling in Job Queues

This project is concerns the development of a real-time computational, probabilistic algorithm or artificial intelligence to predict when a scheduled job in a mobile workers job queue is at risk, given the type of jobs in the queue and the historical durations to complete them. In addition, consideration must be given to traffic patterns, and […]

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Maritime Domain Awareness: A Service-oriented Analytic Framework

Maritime situation analysis is critical for dynamic decision-making in responding to real-world situations. Rapidly unfolding situations that pose an imminent danger or threat to critical infrastructure or public safety require interactive decision-making to enable a swift response. The main objective of this project is to design a robust methodical framework for the development of intelligent […]

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Congestion Control for Ethernet Networks supporting ICN and 5G

Ethernet networks are typically best effort networks where traffic flows may contribute on creating network congestion and lead the switches to start dropping packets randomly. This results in unstable network latency that some applications cannot tolerate, especially in the context of 5G networks where delay constraints are very tight. The proposed research project aims at […]

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MiX – Motion Capture in XNA

XNA (Xbox New Architecture) allows independent game/digital-media content developers to build, deploy, and publish games on the Xbox360 and PC platforms. The technical objective of this project is to bridge Vicon MOCAP technology with XNA to allow for Real Time Visualization of Motion Capture data on the PC and Xbox360 platforms using XNA.The Vicon Real-time […]

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Improving usage pattern quality by comparing different sequential pattern mining methods and the effect of considering additional user information

Frequent usage patterns generated can provide valuable information for several applications such as platform restructuring and recommendation. In this project, we aim to compare different practical methods, and to investigate the effect of user identity and user intention information on them. To that end, a technique and a framework need to be developed, in which […]

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Game private networks and game server performance emulation and evaluation

This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require […]

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Prototype Behavior Based Integrity Verification (BBIV)

Web computing, in which the world-wide web is itself employed as a distributed computing platform, is entering a stage of rapid expansion with the advent of Open Web Platform so that programs that once worked only a native environment on desktop, tablets or phones can now work from within a browser itself. There is therefore […]

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Image matching for purposes of consumer recommendation

The purpose of this project is to develop a highly accurate e-commerce recommender system able to select products across databases and recommend them to prospective customers both in real-time and off-line. Leveraging the historical inventory of sold products, browsing history, purchase history, and expressed preferences helps the recommender to formulate highly accurate product suggestions to […]

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Developing Prediction Models on London Stock Exchange (LSE) Equitiesand Indicies using Microsoft Azure Machine Learning and Data Mining

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]

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Advanced Earth Observation Technologies

UrtheCast is developing advanced cameras and sensors flying on a constellation of 16 satellites orbiting the earth in tandem pairs. The unprecedented data set requires innovation in advanced earth observation algorithms and applications, which will require novel techniques for analysis, simulations and advanced “big data” processing. The objective of this project is to put this […]

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Load Adaptive Consistency Protocol

In a cloud context, it is important to synchronize the information between nodes of the system. This research looks as existing problems and provides improvements in terms of performance and availability. For that reason, cloud management solutions are needed which will benefit Ericsson with new mechanisms for uniformity of information between nodes. And, the same […]

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Mobile Augmentative and Alternative Communication (AAC) Technology

The research project will involve the development of features and techniques to aid people with communication disabilities through the use of consumer mobile devices (ex. smartphones) and tablet computers. Some of the major areas of interest include: location aware vocabularies, predictive sentence construction, and support for alternative input for people that also suffer from motor […]

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