School of Computer Science and Statistics
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 in future networks and communications (6G and beyond). For example, convolutional neural networks (CNNs) are leveraged to develop automatic modulation classification frameworks in [1]-[3]. CNN and its combination … Read more
**This project is for students in either the Online Statistics & Data Science programme (M.Sc). No other student will be accepted for this project.** I am happy to supervise student led project in the areas of online learning, the use of technology in higher education; data analysis or applied statistics in the areas of higher … Read more
Federated learning is a paradigm breakthrough shift in AI for data privacy preservation. Unlike conventional AI techniques, federated learning does not require the users to share the data, but only the AI model parameters. As such, federated learning has found notable successes in numerous applications (e.g., Google keyboard, localization, security, and data sharing) and various disciplines … Read more
I am interested in supervising projects using FPGAs to solve problems in currentIoT devices: Power consumption and concurrencyDistributed and wireless acquisition of multimedia dataFPGAs to reduce the required data rate by preprocessing and data compression.Combinations of inexpensive sensors based on microcontrollers and FPGAs.Fast orthogonal transformations in signal/image processingCryptographic data protectionData compressionError-detecting codingFPGAs and Internet Protocol … Read more
ABC is an open-source logic synthesis and optimization tool developed by Alan Mishchenko at the University of California at Berkeley. ABC specializes in optimizing digital logic circuits at the circuit level, and some commercial hardware synthesis tools incorporate ABC as part of their design flow to improve their circuit optimization. ABC is a large logic … Read more