Our Research
The Department of Computing Science offers PhD opportunities in the following areas:
Research Interests
Autonomous Agents (Agents at Aberdeen)
Agents at Aberdeen (A3) is a research theme with a long history of investigating a wide variety of research topics related to autonomous agents, multi-agent systems and knowledge representation and reasoning. Our recent focus has been on exploring resilience, reliability, and coordination in autonomous multi-agent systems. We apply these techniques to a wide range of application domains, including but not limited to: emergency response, healthcare, decision-making in robotic systems, self-driving cars, explainability, and software engineering.
PhD Supervisors: Nir Oren, Bruno Yun, Felipe Meneguzzi, Brian Logan, Rafael Cardoso
Agents, Reasoning and Knowledge
Computational Linguistics in Aberdeen (CLAN)
Research interests include generating natural language from a machine representation system such as a knowledge base, logical form, or structured/unstructured dataset; analysing properties of human language; and developing, applying and evaluating NLP models across a variety of tasks, e.g., dialogue systems, language modelling, question answering, etc.
Supervisors: Professor Ehud Reiter, Dr Yaji Sripada, Anya Belz, Arabella Sinclair, Ruizhe Li, Xiao Li
Cybersecurity and Privacy
The University of Aberdeen Cyber Security theme (CSG) is a multi-disciplinary theme that brings together researchers with varied backgrounds to build a safer, secure and privacy-preserving future with a core value of "Technology for Good". Our research focuses on both academic and industrial aspects of cybersecurity and its applications. Our theme has a wide range of expertise in various fields. CSG's vision is to be a Centre of excellence in the UK and overseas industry/academic/government for cyber security research.
PhD Supervisors: Pradip Sharma, Wanpeng li, Raja Akram, Matthew Collinson, Edward Chuah
Cybersecurity and Privacy
Machine Learning (AberdeenML)
Research forces on data-efficient machine learning, probabilistic modeling, and autonomous decision making. Applications focus on robotics, agriculture, energy, health, etc.
Supervisors: Georgios Leontidis, Yaji Sripada, Ruizhe Li, Tryphon Lambrou, Dewei Yi, Mingjun Zhong, Arabella Sinclair, Xiao Li
Machine Learning (AberdeenML)
AI-enabled Healthcare
AI-enabled healthcare focuses on transforming the way healthcare is by exploring how it can support improved care outcomes, patient experience, and access to digital healthcare services.
Supervisors: Yun Bruno, Dewei Yi, Ehud Reiter, Pradip Sharma, Ruizhe Li
Human-Centred Computing
The Human-Centred Computing research theme is focused on understanding and improving the relationship between humans and technology. Our goal is to investigate the design and impact of a variety of technologies on individuals, communities, and societies. We are interested in identifying opportunities, challenges, and risks in the innovation of interactive and intelligent systems and tools. We use a diversity of research methods to explore how to design ethical, inclusive, and responsible computing systems that support human needs, activities, and wellbeing.
PhD Supervisors: Nigel Beacham, Ana Ciocarlan, Nir Oren, Bruce Scharlau, Arabella Sinclair.
Human-Centred Computing
