School of Computer Science and Statistics
Final Year Project. The relative value that someone places on their time varies from person to person and even from moment to moment for the same person. Current vehicle route finding services like Google Maps or Open Route Service offer a blunt choice to users to either take routes that include tolled roads or routes … Read more
I am happy to supervise projects in the following areas: Practical Applications of Management Science, Ethnographic Approaches to Information Systems Problems, Gendered Technology
Final Year Project. At the level of the individual the use of vehicle routing algorithms such as Dijkstra’s Algorithm or A* can lead to reduced travel times. This however comes at the cost of increasing traffic on alternative routes which leads to a suboptimal performance of the transportation network as a whole. In this project … Read more
Scanning public-facing Internet services in order to detect security- and privacy-relevant patterns and problems is becomming well-trodden ground. Typical studies attempt Internet-scale IPv4 scans, e.g., to detect uses of outdated ciphers in uses of the Transport Layer Security (TLS) protocol. More local scans (e.g., https://eprint.iacr.org/2018/299) could however produce results that are easier to translate into … Read more
The project is to survey censorship measurement tools and data sets (e.g. https://ooni.org/ and similar), to compare and contrast those, and then use some subset of the identified tooling and data to compare the censorship situation for Internet users based in Ireland against the position of users based in some other country, to be agreed … Read more
Individual fairness concerns the ability of a machine learning model to not being affected in its predictions by one or more sensitive features, such as gender, race, age etc.Recent methods developed techniques for the formal analysis and approximation of fairness in the case of deep Neural Networks (NNs). However such techniques are restricted to simple … Read more
Deep learning has recently achieved state-of-the-art performances in many computer vision classification tasks. In this project we’ll look into developing a tailored deep learning solution based on Neural Network for a problem related to classification with physiological signals. The project will go into details of architecture selection, hyper-parameter learning, validations, and best training practice of … Read more
Biometric authentication refers to systems that verify the identity of a user by unique traits such us fingerprints, voices or particular physiological features (such as ECG which will be the focus of the project). After having developed such a system based on publicly available data, this project will investigate the possibility of bypassing it using … Read more
Deep learning, in particular Neural Networks (NNs), has achieved state-of-the-art results in many applications in the last decade. However, the way these models work and operate is still not fully understood, and in many ways they are approached as black-box when deployed in practice.Unfortunately, this raises several concerns about their suitability to deal with sensitive … Read more
With the great capability of learning high-level representational features of unstructured data automatically, deep learning is acknowledged as a powerful machine learning algorithm for radio signal processing. For example, convolutional neural networks (CNNs) are leveraged to develop automatic modulation classification frameworks in [1]-[3]. CNN and its combination with Vision Transformers are also used to design … Read more