Plamen Angelov
Plamen P. Angelov is a
computer scientist. He is a chair
professor in Intelligent Systems and Director of Research at the School of Computing and Communications of
Lancaster University, Lancaster,
United Kingdom. He is founding Director of the Lancaster Intelligent, Robotic and Autonomous systems (LIRA) research centre. Angelov was
Vice President of the International Neural Networks Society (serving two consecutive terms, 2017-2020) of which he is now Governor-at-large.
He is the founder of the Intelligent Systems Research group and the Data Science group at the School of Computing and Communications. He is member of the Board of Governors also of the Systems, Man and Cybernetics Society of the IEEE for two terms (2015-2017) and (2022-2024). Prof. Angelov was named
Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for contributions to
neuro-fuzzy and
autonomous learning systems. He is also a Fellow of ELLIS and
the IET.
Dr. Angelov is a founding co-Editor-in-chief of the [https://www.springer.com/journal/12530 Evolving Systems] journal since 2009 as well as associate editor of the
IEEE Transactions on Cybernetics,
IEEE Transactions on Fuzzy Systems,
IEEE Transactions on AI, [https://www.springer.com/journal/40747s Complex and Intelligent Systems] and other scientific journals. He is recipient of the 2020
Dennis Gabor Award as well as IEEE and INNS awards for Outstanding Contributions (2013, 2017), The Engineer 2008 special award and others. Author of over 400 publications including 3 research monographs (by [https://www.springer.com/gp/book/9783790814576 Springer, 2002]; [https://www.wiley.com/en-gb/Autonomous+Learning+Systems%3A+From+Data+Streams+to+Knowledge+in+Real+time-p-9781119951520 Wiley, 2012] and [https://www.springer.com/gp/book/9783030023836 Springer Nature, 2012]), 3 granted US patents, over 120 articles in peer reviewed scientific journals, over 160 papers in peer reviewed conference proceedings, etc. These publications were cited over 15000 times ([https://scholar.google.co.uk/citations?user=CCW8PwkAAAAJ&hl=en Google Scholar], 2023), h=index 63. His research contributions are centred around autonomous learning systems, [https://www.wiley.com/en-gb/Autonomous+Learning+Systems%3A+From+Data+Streams+to+Knowledge+in+Real+time-p-9781119951520 Wiley, 2012], dynamically self-evolving systems and the empirical approach to
machine learning, [https://www.springer.com/gp/book/9783030023836 Springer Nature, 2012]. Most recently, his research is addressing the problems of interpretability and
explainability, [https://www.sciencedirect.com/science/article/abs/pii/S0893608020302513 xDNN, 2020],
catastrophic forgetting,
continual learning, ability to adapt, computational and energy costs of deep
foundation models and their whole life cycle.
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