Artificial Intelligence

A digital rendering of a human head

About us

The AI group is engaged with a wide range of cutting-edge research activities in AI and machine learning and their application to image processing and computer vision, digital health and autonomous systems, remote sensing and Earth Observation and other areas.

The main focus of research revolves around trustworthy AI, interpretability of machine learning, human activity recognition, biometrics and multi-agent systems. Our research encompasses various aspects of trustworthy AI and machine learning including interpretability and explainability, trust, privacy, ethics and social responsibility.

Continuous learning including class as well as domain incremental approaches, prototype-based models which provide higher level of interpretability-by-design as well as addressing streaming data by models with dynamically evolving structure are also being studied. Applications to cyber security including threat- and generator- agnostic methods for adversarial attacks and deep fakes detection are also being developed.

AI group is well integrated with the Data Science Institute and Lancaster Intelligent, Robotic and Autonomous systems Centre as well as with international organisations such as ELLIS and others. It collaborates closely with the other research groups, such as Cyber Security, Digital Health as well as other Departments and Faculties, for instance School of Engineering, Lancaster Environment Centre, Faculty of Health and Medicine and others.

AI group members are Editors-in-Chief or Associate Editors of high impact scientific journals, regularly chair and organise international conferences, are invited and present keynote talks.

The research activities of the AI group are funded by a portfolio of competitive research projects from UK research councils, ERC, European Commission, European Space Agency, DSTL, GCHQ, and other Governmental sources, industry, such as Ford, BAE Systems, Thales, Huawei, charities and others.

The destination of former postgraduate researchers and students include Professorships at leading UK and USA Universities and companies, e.g. Google, IBM, Facebook/Meta, Ford, ARM, Apple, UCLA, etc.

Members

  • C
  • D
  • F
  • G
  • H
  • I
  • M
  • O
  • P
  • Q
  • U
  • V
  • X
  • Y
  • Z

Loading People

Publications

AI group members feature high in Stanford University’s “Top 2% Scientists” list and regularly publish at top venues such as:

  • Leading high impact scientific journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence Review, Information Fusion, Neural Networks, Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on IoT, WIREs Data Mining and Knowledge Discovery, International Journal of Intelligent Systems
  • Top tier conferences such as CVPR, NeurIPS, ICLR, AAAI, ICCV, IJCAI, ECCV, IEEE-IJCNN

Many publications by group members are highly cited (according to SciVal and Clarivate) or were awarded best paper prizes.

PhD Opportunities

AI group welcomes applications for PhD studentships. More details on the opportunities can be found at the School’s PhD webpage as well as on ELLIS website. Periodically positions are being advertised in relation to funded research opportunities that may arise with projects or targeted programmes such as:

Highlighted Projects

  • ELSA

    ELSA (European Lighthouse on Secure and Safe AI) is a €10M European AI Centre of Excellence. It brings together researchers from 26 top research institutions and companies in Europe to pool their expertise in the field of AI and machine learning.

  • TAILOR

    TAILOR is a 12M€ project which aims to build the capacity of providing the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centres leveraging and combining learning, optimisation and reasoning

  • H-Unique

    H-Unique is a 2.5M€ ERC funded project with PI Dame Professor Sue Black aiming to identify criminals based on unique features of their hands

  • AI4EO

    Towards explainable AI4EO: a new frontier to gain trust into the AI" is a project funded by the European Space Agency, with Phi Lab tackling flood detection based on hyperspectral images.

  • ELLIS

    ELLIS' mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI. Human-Cantered Machine Learning is one of its 16 Programmes.

  • ELISE

    ELISE is a 12M€ project funded by EC (ICT-48 call "Towards a vibrant European network of AI excellence centres") to create a network of artificial intelligence research hubs. Based on the highest level research, it spreads its knowledge and methods in academia, industry and society.

All Projects