Machine learning research topics on big and complex data

I am happy to supervise final-year undergraduate projects and master’s theses (Data Science). Below are the research topics. As these topics rely on advanced mathematical and statistical methods, only candidates with a strong background in mathematics or statistics will be considered. I also welcome PhD enquiries. If you’re interested, please contact me to discuss your … Read more

[TAKEN] Fairness and Robustness in Risk Detection Models (2 Projects)

Risk detection models (such as IBM’s Granite Guardian) are increasingly used to flag harmful prompts and responses in large language model pipelines. These systems are trained on human and synthetic data to identify risks across multiple dimensions, but their reliability and fairness are not guaranteed. They may over-flag certain groups, miss subtle harms, or be … Read more

To interpret or not to interpret: Forecasting conflict fatalities with machine learning models vs. GLMs

Forecasting conflict on a fine-grained grid level has real-life policy implications that can empirically inform meaningful healthcare and peace-preservation decisions. In many settings, interpretable models have the appeal that policymakers know how to draw conclusions from the model and do not have to base their decisions on black-box models. On the other hand, machine learning … Read more

Hyperscanning interactive dialogue (taken)

This project will investigate how individuals adapt to each other during a dialogue. Rather than focusing on speech recordings only, this project will involve the data collection and analysis of neural data from electroencephalography from two individuals simultaneously as a dialogue unfolds. This is part of a bigger project led by a PhD students in … Read more

Speechify – Let me speak again! (taken)

Restoring speech communication in individuals that can’t speak or have difficulty speaking (e.g., individuals with ALS) is an important challenge that could benefit many. While many solutions have been proposed that have various limitations, recent progress in machine learning methods (e.g., transformers) open new opportunities. This project aims to decode the intended speech of individuals … Read more

Boosting Language Learning with Machine Learning (taken)

Learning a second language is a challenging and time-consuming task. While a myriad of strategies have been proposed, we are still far from reaching an optimal personalised solution. Users either drop out early in the process or, once they reach a sufficient level of proficiency, they hit a plateau that seems impossible to overcome. This … Read more

AI for Immersive 3D Experience

Are you interested in researching generative AI techniques for visual content creation?

In this project, we will explore generative AI with a focus on image, video, and 3D content creation and editing. You will build up your background in computer graphics and computer vision and conduct research in the following themes including latent diffusion models and neural radiance fields.

Deep Fake Enfacement Experiment

[MSc Level] This project will involve creating a real-time enfacment system from the state of the art deep-fake networks, and conducting perceptual experiments to identify if participants have ownership of their new face, and if properties of the source-actor (e.g., age, gender, etc.) can be perceived, even though the generated video is a photorealistic depiction … Read more