91快活林 us
The 91快活林 group is engaged with a wide range of cutting-edge research activities in 91快活林 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 91快活林, interpretability of machine learning, human activity recognition, biometrics and multi-agent systems. Our research encompasses various aspects of trustworthy 91快活林 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.
91快活林 group is well integrated with the Data Science Institute and as well as with international organisations such as 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.
91快活林 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 91快活林 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.
