Blockchain-based data integrity verification scheme for cloud storage

With the development of information technology, people’s requirements for computing storage capacity are also increasing. And cloud storage is an important part of the system architecture for implementing cloud platform. Although many studies believe that cloud platforms provide a reliable and secure data storage center, the security problem is still the main problem in cloud […]

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Unified Estimation of turbulence eddy dissipation rate of atmospheric Turbulence for effective flight plan management

The aim of the proposed project is to develop a machine learning classification that predicts energy from turbulent flow atmospheric systems. Being able to predict turbulent flows is of great importance since the atmosphere features strongly in the invisible infrastructure of aviation from established navigation waypoints to conduit airways – the highways in the sky. […]

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NetRepAIr: Making networks reliable for next-generation applications using AI/ML techniques

Networks have grown from small topologies connecting a dozen of devices to large, shared infrastructures supporting primary needs of our society. Today, we count on networked services for trading, commuting, monitoring weather conditions, meeting people. In order to provide reliable services, network operators need to cope with the daunting challenge of ensuring millions of flows […]

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Detection of enumeration attacks in cloud environments using infrastructure log data

Most computer services nowadays are provided in cloud environments. Inevitably, every individual needs to use these environments when they have to use computer services. Considering cyber threats in the cloud infrastructure, security and privacy conservation of one is really challenging. Out of date techniques are no more executable in these infrastructures. However, machine learning algorithms […]

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Automated clinical note generation from clinician-patient dialogues

This project will investigate improvements to models for automatically generating physician notes from transcripts of conversations between physicians and patients. The model will capture important medical information such as symptoms, treatments, and medications, and automatically formulate a free-text note that mimics the style of the physician’s manually entered notes. The model will use context and […]

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Scaling Security Architecture

Security has become increasingly important as cyberattacks are more prominent. Despite advances in security technologies there’s still a need for a new security architecture that is simply adaptable and scalable to different and evolving security requirements of various organizations. This project will study the latest technologies and solutions in the field of Cybersecurity that are […]

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Research into Convolutional Neural Network (CNN) Explainability

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]

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Edge Streaming for 360-degree Videos

360-degree video streaming is one key element of many Augmented Reality and Virtual Reality (AR/VR) applications. The computing and networking demands pose great challenges for mobile devices and mobile networks, especially if a mobile device is the video source. The deployment of mobile edge computing offloads computing and networking demands on mobile devices and alleviates […]

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Constrained dynamic pricing for airport parking reservations

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense […]

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Relevance of security intelligence data for cyber insurance risk quantification

Cyber insurance is a relatively new and growing insurance product that provides companies with compensation following cybersecurity incidents involving data breaches, business interruption, digital asset loss and/or cyber extortion. The ever-changing nature of cyber technology combined with the lack of a large history of cyber insurance claims makes it challenging for insurance companies to rapidly […]

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