Plamen Angelov

Autonomous Learning for Autonomous Systems

Email: p.angelov@lancaster.ac.uk
http://angeloventelsensys.wix.com/plamenangelov

Autonomous Systems were identified as one of the great technologies together with the robotics, (Big) Data, Digital, Health, Energy, etc.
While it is often related to “drones” or RPAV, UxVs, etc. autonomy is much more than that and is central to what will be the next revolution of industry and transport, our environment we live in and this is already happening now through the Smart Industry (Industrie 4.0), driverless cars, trains and subway trains, cash tills at large supermarkets, collaborative care etc.
In this talk the experience of the author and his group at Lancaster in pioneering Autonomous Learning Systems as pivotal to not only Autonomous Systems but also to Transforming the Big Data Streams into meaningful manageable actionable information will be discussed.

About the speaker:
Professor Plamen Angelov, PhD, DSc Personal Chair in Intelligent Systems Chair of Excellence (Carlos III, 2015) School of Computing and Communications Infolab21, Lancaster University, UK

Short bio:
Professor Angelov has 25+ years of professional experience in high level research and holds a Personal Chair in Intelligent Systems at Lancaster University, UK. He leads the Data Science groups at the School of Computing and Communications which includes over 20 academics, researchers and PhD students and is one of the eight groups of the School. Prof. Angelov is a Fellow of IEEE for contributions to neuro-fuzzy and autonomous learning systems an of the IET. HE is also Board of Governors member of the International Neural Networks Society (INNS) and of the Systems, Man and Cybernetics Society where he also Chairs a Technical Committee (TC) on Evolving Intelligent Systems within the and a member of several other TCs. Within SMC Society this includes the TC on Diagnostics and Prognostics. More generally within IEEE, Prof. Angelov is a member of the TC on Neural Networks and TC on Fuzzy Systems within the Computational Intelligence Society, IEEE. Prof. Angelov has authored or co-authored over 200 peer-reviewed publications in leading journals, peer-reviewed conference proceedings, 5 patents, two research monographs (by Wiley, 2012 and Springer, 2002) and over a dozen other books. These publications has been cited over 5000 times (Google Scholar) with an h-index of 34; i10-index is 71. He and his co-authors and students received a number of IEEE best paper awards (2006, 2009, 2012, 2013) as well as one of his papers was nominated for outstanding IEEE Transactions paper (2010). His most cited paper has over 580 citations. He has an active research portfolio in the area of computational intelligence and machine learning and internationally recognised results into online and evolving learning and algorithms for knowledge extraction in the form of human-intelligible fuzzy rule-based systems. Prof. Angelov leads numerous projects (including several multimillion ones) funded by UK research councils, EU, industry, UK Ministry of Defence. His research was recognised by ‘The Engineer Innovation and Technology 2008 Special Award’ and ‘For outstanding Services’ (2013) by IEEE and INNS. He is also the founding co-Editor-in-Chief of Springer’s journal on Evolving Systems and Associate Editor of the leading international scientific journals in this area, including IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems and several other journals including Applied Soft Computing, Fuzzy Sets and Systems, Soft Computing, etc. He was General Chair of primes conferences (IJCNN-2013, Dallas, Texas, 4-9 August 2013, Texas, USA; INNS inaugural Conference on Big Data, San Francisco, August, 2015) and Programme Committee co-Chair of prime conferences (FUZZ-IEEE-2014, July 2014, Beijing, China; IEEE Intelligent Systems’14, Warszaw, Poland; IJCNN2016, Vancouver, Canada); founding General co- Chair of a series of annual IEEE conferences on Evolving and Adaptive Intelligent Systems. Prof. Angelov is often acting as a Visiting Professor (in Brazil, 2007 and 2014; Germany, 2006; Spain, 2010; France, 2014; Bulgaria, 2011-14) regularly gives invited and plenary talks at leading companies and universities. Prof. Angelov is a member of the Special Interest Group (SIG) on Autonomous Machine Learning, International Neural Network Society, since 2008, co-ordinator of the Working Group on Data Mining and Learning to EUSFLAT since 2007, member of ISGEC (International Society of Genetic and Evolutionary Computation) and its Council of Authors, since 2002; member of the Senior Members sub-committee, IEEE, 2008-2010; North American Fuzzy Information Processing Society, NAFIPS, 2001,2005; member of the Innovation Award Committee for the World Congress on Nature and Biologically Inspired Computing, December 2009. Prof. Angelov gave over a dozen plenary and key note talks at high profile conferences. More information can be found at his web site www.lancs.ac.uk/staff/angelov.