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  • School of Electronics, Electrical Engineering and Computer Science
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  • Artificial Intelligence

Artificial Intelligence

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Computational methods based on real intelligence
  • Artificial Intelligence techniques borrow from various aspects of our understanding of how human intelligence works in order to tackle computing problems which, because of complexity or scale, are very difficult to solve by conventional programming techniques. Advances in recent years have come through the availability of greater computing power, the development of new AI techniques, and the application of ideas to new problem areas. AI technologies are strongly addressed within the School. 
  • Machine learning is at the heart of much of our research. Instead of working out rules to tell a computer what to do in every possible situation, it is presented with a large number of examples that it learns from.

MAIN RESEARCH AREAS

  • Machine learning is applied to: video and image processing, for example for person re-identification or analysis of medical images; analysis of other data including medical; cognitive neuroscience and natural language and speech processing. 
  • We work on improving core AI methods, for example: fair and explainable AI; clustering algorithms; scheduling algorithms. 
  • In conjunction with the Computing Systems Research Theme we investigate high performance computing techniques for training and inference in machine learning. 
INDUSTRIAL COLLABORATIONS
anyvision
Anyvision

An industry leader in image processing techniques for face recognition.

Learn more


RESEARCH CENTRES AND INSTITUTIONS
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ECIT
Institute of Electronics, Communications and Information Technology
Secure, Connected, Intelligence
 

OUR IMPACT

Artificial Intelligence Research in Northern Ireland

ENVIRONMENT/SUPPORT
Critical Mass

ECIT Atlas Research Compute Solution can be used for computationally-intensive training of machine learning models. 


KEY STAFF CONTACT
Dr Ivor Spence

i.spence@qub.ac.uk

028 9097 4657 


SPINOUT COMPANIES

  • Anyvision 

  • EventMAP  

  • Brainwavebank

  • Analytics Engines

STAFF

ARTIFICAL INTELLIGENCE Role Interest Area
Ivor Spence Theme Lead Heterogeneous systems, satisfiability solving i.spence@qub.ac.uk
Barry Devereux Lecturer Natural language processing
Yang Hua Lecturer Machine learning (vision)
Anna Loughrey Lecturer Machine learning (bioinformatics)
Barry McCollum Senior Lecturer Scheduling
Paul McMullan Lecturer Scheduling
Ji Ming Professor Speech, audio and image processing
Deepak Padmanabhan Senior Lecturer Fairness in machine learning, ethical AI, unsupervised learning
Neil Robertson Professor Machine learning (vision)
Mai Thai Son Lecturer Data mining, machine learning, high performance computing
Jerry Shen Reader Information retrieval, multimedia
Roger Woods Professor Data analytics, specialised computer hardware
Research
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Contact Us

School of Electronics, Electrical Engineering and Computer Science

Computer Science Building
16A Malone Road
Belfast
Northern Ireland
BT9 5BN

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Postgraduate Taught Enquiries

pgt-admin-eeecs@qub.ac.uk


Postgraduate Research Enquiries

pgr-admin-eeecs@qub.ac.uk


Postgraduate Telephone

+44 (0)28 9097 4642


Undergraduate Enquiries

eeecs@qub.ac.uk


Undergraduate Telephone

+44 (0)28 9097 4639


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