Xinyi Ye

Xinyi Ye

Last-mile logistics is the final echelon of complex supply chain distribution processes and refers to the delivery of goods in urban environments from transportation hubs, e.g. warehouses, fulfillment centres, or local depots, to end consumers. Effective last-mile...
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...

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...
Peter Tisnikar

Peter Tisnikar

I am researching ways for robots to independently learn interaction with human users in a safe and non-invasive way. This way, trustworthiness is built through increase in comfort of the interaction, as the robot is able to adapt to its user...
Munkhtulga Battogtokh

Munkhtulga Battogtokh

My PhD project is on the explainability of human-machine dialogue through visualisation. Recently, research on dialogue systems has been shifting focus from a traditional task-oriented rule-based paradigm to the more scalable, but...
Mattia Jacopo Villani

Mattia Jacopo Villani

My research focuses on neural architectures, specifically what makes which architecture successful when. It turns out that geometry plays an important role: probing the neural network to see what inputs it finds indistinguishable characterises important qualities of...