Catalogue of Possibilities / MPAs
AI & Big Data
Click / tap the stars next to items in the CoP to mark your favourites.
Glasgow’s AI research is uniquely focused on developing approaches that are human-centred and user-oriented. This means deploying approaches that understand how humans communicate and interact with the AI system, and how to make it blend smoothly with our daily life and social interactions.
The UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents works on endowing machines with social intelligence, i.e., with the ability to understand social and psychological phenomena such as emotions, personality, attitudes, intentions, etc. (see Social AI Glasgow).
Natural Language Processing activities target AI approaches that make sense of language, whether this means to provide people with personalised financial advice (see INFINITECH and FAR-AI), to support the interaction with large and complex data sets (see Closed-Loop Data Science) or to elicit user feedback for improving the quality of conversational search systems (see Glasgow Information Retrieval Group), thus expanding humans’ cognition and skills in dealing with large amounts of information.
Finally, Human Computer Interaction activities investigate the AI as a means to support the interaction between people and machines, whether these are humanoid robots (see MuMMER), virtual environments populated with artificial humans (see SONICOM) or people interacting in Extended Reality (see FUSION).
All work above requires not only technical and computing skills, but also consistent attention to ethical and societal issues. Hence, we actively contribute to the Responsible AI Hub and its mission trough the development of approaches capable to be fair with their users, to monitor fair representation of people in media or to ensure conducting research on medical records while preserving the patients’ privacy (see SIEPH: Safe Information Extraction from Patient Histories).
Supervisors working in this field
Professor Alasdair W Clark
Professor of Nanoscale Engineering
Professor Alessandro Vinciarelli
Professor of Computational Social Intelligence
Dr Ankush Aggarwal
Senior Lecturer
Professor Caroline Gauchotte-Lindsay
Professor of Environmental Engineering and Chemistry
Dr Caroline Muellenbroich
Senior Lecturer
Dr Christos Anagnostopoulos
Senior Lecturer
Professor Daniele Faccio
Professor in Quantum Technologies
Dr Eky Febrianto
Lecturer in Computational Mechanics
Dr Fani Deligianni
Senior Lecturer
Dr Giulia Marcucci
Research Associate
Dr Hessam Mehr
Research Fellow
Dr Jake Lever
Lecturer
Dr Jeremy Singer
Reader in Programming Language Implementation
Dr Ji-Eun Byun
Lecturer in Smart Resilient and Sustainable Infrastructure
Dr Julien Le Kernec
Senior Lecturer
Dr Lauritz Thamsen
Lecturer in Computer Systems
Professor Martin Weides
Professor of Quantum Technology
Dr Matthew Barr
Senior Lecturer & Head of Education and Practice
Dr Mohammad Yazdani-Asrami
Lecturer in Electrically Powered Aircraft & Operations
Professor Muhammad Ali Imran
Dean of Graduate Studies and Transnational Education
Dr Nicola Bell
EPSRC Open Fellow (Digital Inorganic Chemistry)
Dr Ornela Dardha
Senior Lecturer
Dr Richard Bowman
Reader
Dr Róisín Buckley
Senior Lecturer
Dr Sofiat Olaosebikan
Lecturer in Algorithms and Complexity
Professor Stephen Sweeney
Professor of Photonics and Nanotechnology
Dr Stuart Grey
Senior Lecturer in Engineering Systems Design
Dr Yutian Tang
Lecturer
Dr Tiffany Vlaar
Lecturer
Professor Vihar Petkov Georgiev
Professor of Nanoelectronics
Dr William Peveler
Lecturer
Dr Zaiqiao Meng
Lecturer