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Webinar: IEEE CIS Type-2 Fuzzy Logic Systems and Their Applications

- 30 April 2018

Time: - 3:00pm

Title: Type-2 Fuzzy Logic Systems and Their Applications

Webinar Speaker: Prof. Hani Hagras

Time: 14:00-15:00 BST on Monday, 30 April

Abstract: This topic will present a brief overview on theoretical and practical coverage of the area of type-2 fuzzy logic systems and their applications. The talks will cover the following topics

  • Introduction to Type-2 Fuzzy Logic Sets and systems and their theoretical basis .
  • Practical Implementation of Interval Type-2 Fuzz Logic Systems and their various applications
  • Emerging areas of type-2 fuzzy logic systems

Registration link: https://attendee.gotowebinar.com/register/7173930031155852545

Biography:

Prof. Hani Hagras is a Professor of Computational Intelligence, Director of Research. Director of the Computational Intelligence Centre, Head of the Fuzzy Systems Research Group and Head of the Intelligent Environments Research Group in the University of Essex, UK. He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE) and he is also a Fellow of the Institution of Engineering and Technology (IET). and Principal Fellow of the UK Higher Education Academy. His major research interests are in computational intelligence, notably type-2 fuzzy systems, fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. His research interests also include ambient intelligence, pervasive computing and intelligent buildings. He is also interested in embedded agents, robotics and intelligent control. He has authored more than 300 papers in international journals, conferences and books. His work has received funding that totalled to about £5 Million in the last five years from the European Union, the UK Technology Strategy Board (TSB), the UK Department of Trade and Industry (DTI), the UK Engineering and Physical Sciences Research Council (EPSRC), the UK Economic and Social Sciences Research Council (ESRC) as well as several industrial companies including. He has also Five industrial patents in the field of computational intelligence and intelligent control. His research has won numerous prestigious international awards where most recently he was awarded by the IEEE Computational Intelligence Society (CIS), the 2013 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems and also he has won the 2004 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems. He was also awarded the 2015 Global Telecommunications Business award for his joint project with British Telecom. In 2016, he was elected as Distinguished Lecturer by the IEEE Computational Intelligence Society. He was also the Chair of the IEEE CIS Chapter that won the 2011 IEEE CIS Outstanding Chapter award. His work with IP4 Ltd has won the 2009 Lord Stafford Award for Achievement in Innovation for East of England. His work has also won the 2011 Best Knowledge Transfer Partnership Project for London and the Eastern Region. His work has also won best paper awards in several conferences including the 2014 and 2006 IEEE International Conference on Fuzzy Systems and the 2012 UK Workshop on Computational Intelligence. He served as the Chair of IEEE Computational Intelligence Society (CIS) Senior Members Sub-Committee. He served also as the chair of the IEEE CIS Task Force on Intelligent Agents. He is currently the Chair of the IEEE CIS Task Force on Extensions to Type-1 Fuzzy Sets. He is also a Vice Chair of the IEEE CIS Technical Committee on Emergent Technologies. He is a member of the IEEE Computational Intelligence Society (CIS) Fuzzy Systems Technical Committee. He served also as a member of the IEEE CIS Fellows Committee. He serves also as a member of the IEEE CIS conferences committee. He is an Associate Editor of the IEEE Transactions on Fuzzy Systems. He is also an Associate Editor of the International Journal of Robotics and Automation. Prof. Hagras chaired several international conferences where he will act as the Programme Chair of the 2017 IEEE International Conference on Fuzzy Systems. 

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