Tiberiu-Andrei Georgescu

Tiberiu-Andrei Georgescu

Reality is full of uncertainty. As humans, we are adapted to this aspect of real life, and we can observe possible problems in plans and pivot in time, before failures become catastrophic. If we want autonomous systems deployed in real life environments, we expect...
Wenxi Wu

Wenxi Wu

My research interests lie in the intersection of robotics and AI. My research aims to bridge the gap between robot motion planning and adversarial machine learning. It focuses on enhancing robustness of motion planners by using adversarial machine learning. Studying...
Xinyi Ye

Xinyi Ye

I am interested in argumentation and optimisation though they seem to be totally irrelevant. The project I am working on is to combine these two techniques, and use argumentation to provide explanations for optimisation solvers. — Masters Qualification:...
Chiara Di Bonaventura

Chiara Di Bonaventura

My research project looks at ways in which we can leverage world knowledge to improve offensive language detection systems both in terms of their downstream performance and explainability. To sum up, my research interests are: Natural Language Processing, Online...
Gabriele La Malfa

Gabriele La Malfa

My research project is researching the role of fairness in a multi agent interactive systems. My interests focus on researching how fairness changes in different agent contexts, where the assumptions behind the systems change. I believe this AI related challenge may...
Mariya Pavlova

Mariya Pavlova

My research focuses on uncertainty quantification and robustness in LLMs. My research interests are uncertainty quantification and robustness, machine learning, generative AI and NLP. I am affiliated with the Data Science Institute at Imperial College London. I am...

Usman Islam

My project seeks to build better structured representations of tasks in decision making problems by leveraging compositionality. My research interests are in improving the generality and explainability of decision making systems, particularly in (multi-agent)...
Nathan Schneider Gavenski

Nathan Schneider Gavenski

My PhD project is focused on creating agents that learn from others by observing. By observing others perform a task, an agent might peak up social queues and act more like us. My research interests are centred on how agents can learn more about their environment and...
Michelle Nwachukwu

Michelle Nwachukwu

My PhD project investigates the intersection between knowledge graphs (KGs) and bias. Currently there is no clear consensus on how to measure bias in KGs to ensure that it is fair. There is also very little understanding of the design process of creating a KG so this...
Shahin Honarvar

Shahin Honarvar

Machine learning has a wide range of uses, thus concerns regarding their reliability and safety are valid. One way to ensure the properties of safety and trustworthiness of a machine learning system is to test it. Testing machine learning systems, however, is...
Matthew Shorvon

Matthew Shorvon

My PhD project focuses on the intersection between multi-agent systems and explainable AI. I became particularly interested in AI during my one-year master’s degree in computer science, and wanted to dive deeper into the subject after completing the...
Richard Willis

Richard Willis

My PhD focuses on how cooperative behaviour between agents is shaped by the environment. By understanding how different incentives give rise to different system dynamics, I aim to be able to design mechanisms that will promote pro-social behaviour. My project utilises...