Artificial Intelligence
Computational methods based on real intelligence
Artificial intelligence research exploits a range of modern machine learning techniques to solve the challenging problems of image and video analysis, cognitive neuroscience, natural language understanding and intelligent robotics.
We use heterogeneous computing systems to provide the resources needed to address these problems in a reasonable timeframe. Our research is commercialised through collaborations and by companies established by our staff, meaning that we work on real-world problems whose solutions bring economic benefit.
COLLABORATIONS
Anyvision
An industry leader in image processing techniques for face recognition.
Eventmap
Providing optimised scheduling solutions to major customers in a range of areas.
Analytic Engines
Builds high-performance platforms for engineering and business data analysis.
RESEARCH CENTRES AND INSTITUTIONS
DSSC
Centre for Data Science and Scalable Computing
Investigating advancements in AI and the computational challenges relevant to big data.
ENVIRONMENT/SUPPORT
Critical Mass
3 professors, 2 readers, 2 senior lecturers and 8 lecturers, supervising 6 research staff and 23 research students.
FEATURE
Appointment of Prof. Maire O’Neill to UKAIC
Prof. Maire O’Neill appointed to UK Artificial Intelligence Council.
STAFF
|
Name |
Role |
Interest Area |
|
I Spence |
Theme Lead |
Programming and virtualization of accelerators, Cloud and edge computing, Satisfiability solving |
|
R Woods |
Professor |
|
|
M Ji |
Professor |
|
|
N Robertson |
Professor |
Deep machine learning of visual data, Video analytics, Efficient computation |
|
J Shen |
Researcher |
Machine Learning, Information Retrieval, Video Analytics, Big Data |
|
D Greer |
Senior Lecturer |
|
|
B McCollum |
Senior Lecturer |
|
|
B Devereux |
Lecturer |
Natural Language Processing, Computational cognitive neuroscience |
|
EM Hahn |
Lecturer |
Stochastic model checking, Very large or infinitely large models, Parametric and interval Markov models, Stochastic parity games, Stochastic hybrid (discrete-continuous) systems, Efficient algorithms for deciding linear time logic properties, Quantum Markov models, Learning of Markov models |
|
TS Mai |
Lecturer |
Data Mining, Machine Learning, Artificial Intelligence, High performance computing |
|
Y Hua |
Lecturer |
Computing Vision, Machine Learning |
|
N McLaughlin |
Lecturer |
Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Cybersecurity |
|
D Padmanabhan |
Lecturer |
Unsupervised Learning, Natural Language Processing, Information Retrieval, Machine Learning |
|
V Ngo |
Lecturer |
Machine learning and artificial intelligence theories for sequential decision making and robotics |
|
AM Jurek-Loughrey |
Lecturer |
|
|
P McMullan |
Lecturer |
|
|
S Yan |
Research Fellow |
|
|
M Ormerod |
Research Assistant |