Keynote Speakers

Keynote Speakers

Professor Yaochu Jin

Bielefeld University, Germany and Distinguished Chair, University of Surrey

Title: Evolutionary Neural Architecture Search: Computational Efficiency, Privacy Preservation and Robustness Enhancement 

Abstract: Evolutionary neural architecture search has received considerable attention in deep learning. This talk begins with a presentation of computationally efficient evolutionary neural architecture search algorithms by means of sampled training and partial weight sharing. Then, we introduce communication-efficient deep neural architecture search in a federated learning environment.  Finally, a surrogate-assisted evolutionary search algorithm for neural architectures that are robust to adversarial attacks is described. The talk is concluded with a brief discussion of open questions for future research.

Short Bio: Prof. Yaochu Jin is Professor in Bielefeld University, Germany and a Distinguished Chair and Professor in Computational Intelligence, University of Surrey. He is Co-Coordinator of the Centre for Mathematical and Computational Biology (CMCB), Department of Computer Science, University of Surrey. He was a Finland Distinguished Professor (2015-17) with the Multi-objective Optimization Group, Faculty of Information Technology, University of Jyvaskyla, Finland, and a Changjiang Distinguished Visiting Professor (2015-17), State Key Laboratory of Synthetical Automation of Process Industry, Northeastern University, China. He also was head of the Nature Inspired Computing and Engineering (NICE) group. Editor in Chief of the IEEE Transactions on Cognitive and Development Systems Journal since 2016 (IF 4.546). Editor in Chief of the Complex & Intelligent Systems Springer Journal (IF 6.7). Associate Editor in IEEE Transactions on Evolutionary Computation (IF 16.4)

Professor Plamen Angelov

Lancaster University, UK

Short Bio: Professor Plamen Angelov holds a Chair in Intelligent Systems and is Director of Research at the School of Computing and Communications. He is founding Director of the Lancaster Intelligent, Robotic and Autonomous systems (LIRA) Centre (www.lancaster.ac.uk/lira ) which brings together 70+ academics/faculty across 15 Departments of the University. Prof. Angelov is a Fellow of the IEEE, of the IET and of ELLIS (https://ellis.eu) and a Governor of the International Neural Networks Society (INNS) for which he also served two consecutive terms as Vice President (2017-2020). He has over 350 publications in leading journals (like TPAMI, Information Fusion, IEEE Transactions on Cybernetics, on Fuzzy Systems, etc.), peer-reviewed conference proceedings (such as CVPR, IEEE), 3 granted US patents, 3 research monographs (by Wiley, 2012 and Springer, 2002 and 2018) cited over 12800 times with an h-index of 60. He has an active research portfolio in the area of interpretable (explainable-by-design) deep learning and internationally recognised results into explainable deep learning, evolving systems for streaming data and computational intelligence. Prof. Angelov leads numerous projects funded by UK research councils, EC, European Space Agency, DSTL, GCHQ, Royal Society, Faraday Institute, industry. He is recipient of the Dennis Gabor award (2020) for “outstanding contributions to engineering applications of neural networks”, IEEE awards ‘For outstanding Services’ (2013 and 2017) and other awards. He is Editor-in-Chief of Springer’s journal Evolving Systems and Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on AI and other journals. He gave 30+ keynote talks and was General co-Chair of a number of high profile IEEE conferences. He is founding Chair of the Technical Committee on Evolving Intelligent Systems, SMC Society of the IEEE and was previously chairing the Standards Committee of the Computational Intelligent Society of the IEEE (2010-2012) where he initiated and chaired the Work Group P2976 on the IEEE standard on explainable AI. He is the founding co-Director of one of the funded programmes by ELLIS (on Human-centred machine learning). He was also a member of International Program Committee of over 150 international conferences (primarily IEEE).

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