Research students

A list of AIAI research students

PhD Student   Research Topic
  Najwa Alghamdi  
Claire Barale
Claire Barale Enabling Ethical Human-AI Reasoning in International Law
J Barrett
Jake Barrett Algorithmic design and multi-agent behavioural analysis for democratic innovations.
delong
Lauren Delong

The Usage and Improvement of Neurosymbolic AI for Biomedical Applications

JF
Jona Feldstein I am interested the unification of relational models and probabilistic AI, with a focus on property based testing in probabilistic programming.
aiai student1
Thomas Fletcher

Automation of Statistics in a Query-Answering System

My research is on the automatic selection and application of various statistical methodologies when provided with a query and an associated dataset;

this is within the context of an inference-capable interactive query-answering system for general-domain data-focussed queries, providing multiple types of numerical, visual and text outputs (e.g. value predictions, statistics, plots, fit descriptions and hypothesis evaluation).

Jorge Gaete
Jorge Gaete Villegas My research focuses on Explainable AI in the Healthcare domain.
bganesh
Bhargavi Ganesh Interests lie broadly within the field of AI ethics, with a focus on how philosophical notions of responsibility can be used to develop organizational, technical, and regulatory norms and tools for both identifying/addressing harms that may arise through certain implementations of AI systems, and enabling actors within the AI supply chain.
Zonglin Ji
Zonglin Ji Understanding Intensive Care Patients' Clinical Pathways using AI.
Patrick Kage
Patrick Kage My research focuses on how we can train models for downstream tasks with incomplete or inaccurate information, borrowing from semi-supervised learning and explainability methods. 
Waylon Li
Waylon Li The application of deep learning and natural language processing methods in finance, especially anomaly detection in financial markets.
  Charles London  
AIAI student4
Chang Luo Machine learning and its applications in finance, especially graph representation learning and complex network analysis.
Miguel Angel Mendez Lucero
Miguel Angel Mendez Lucero

An approach to explainable Artificial Intelligence using Adaptive Causal Models.

AIAI student3
Adarsh Prabhakaran Mathematical modelling of complex systems with a focus on spreading phenomenon and propagation of non-contagious diseases.
Magdalena Proszewska
Magdalena Proszewska Explainability in Graph Neural Networks 
saadatyamzi
Ameer Saadat- Yazdi

Uncovering implicit information in natural language arguments using external knowledge.

tsaka
Tarini Saka

A human-AI collaborative approach to mitigate phishing attacks'.

Richard Schmoetten
Richard Schmoetten Formalisation and Interactive Theorem Proving in Physics.
F Smola
Filip Smola Formalising correct process composition in Isabelle/HOL and exploring its applications to complex domains.
  Nijesh Upreti  
J Vaughan
James Vaughan Applications of Network Science and Computational Creativity to Mechanical Theorem Proving.
  Sylvia Wang  
Y Xie
Yifei Xie My research focuses on performance optimization of distributed system.
JZ
Jiawei Zheng Complex event processing in BPM, IoT and Blockchain.
RZhu
Ricky Zhu Probabilistic knowledge representation and reasoning.