Ioannis Kypraios

Oxford University Press (United Kingdom) United Kingdom

Dr. Ioannis Kypraios received his BEng in Computer Systems Engineering with first class honours. He has an MSc in Modern Digital communication Systems with distinction. He was awarded an EU Bursary and in 2005 (graduation) he completed his Doctorate at University of Sussex in Fully-Robust Object Recognition Systems. From 1998-2005 during his undergraduate and postgraduate studies, Dr. Kypraios was fortunate enough to have been mentored in Computing and Advanced Computer Architectures by the late Prof. Richard L. Grimsdale (Alan Turing’s mentee, University of Manchester). Dr. Kypraios has pioneered the hybrid digital-optical technology for cognitive object recognition systems. His current research interests focus on signal, image and video processing with application areas in Computational Intelligence, and Neuroinspired Engineering and Neuromorphic Computing. He is the author of over 50 submitted and/or published papers in high quality refereed International conferences and journals, including IEEE Proceedings, IET Sussex Network Special Presentation Series, Optical Society of America (OSA) Applied Optics Journal and SPRINGER Multimedia and Informatics Special Series, over 20 Technical Reports and he has presented his research results at several public exhibitions and invited seminars. Previously, he has organised and chaired a special session in “Advances in Image Processing” hosted by the Massachusetts Institute of Technology (MIT), USA. In August 2012, he presented his work in human synthetic movement monitoring for an international symposium sponsored by the Russian Academy of Sciences. In August 2013, he presented his work in cognitive hybrid robust object recognition systems at the Royal Institute of Technology (KTH), Stockholm, Sweden. From 2005-to-2008, he has 2+ years of Postdoc. Also, from 2008-2009 he was a full-time Research Fellow at University of Sussex. In 2010, he became a visiting Senior Research Scientist at MMLAB of the University of Gent in Belgium. In January 2011, he became Adjunct Senior Lecturer at Dept. of Engineering and IT, ICTM (assoc. LSBU), London, and in April 2012 he joined APEM’s Computing Labs at Begbroke Science Park of University of Oxford, UK. He has worked and collaborated in Research Projects with several Institutes in UK and Internationally, including Space Science Centre at University of Sussex, University of Bradford, University of Gent (UGENT) in Belgium, Technical University of Crete (TUC) in Greece, and USA NASA’s Jet Propulsion Lab (JPL) in California amongst others. Dr. Kypraios is a full member of several processional bodies including the IET and IEEE, and he is a registered FP7 Expert/Reviewer and a registered IEEE Expert Spokesperson. In February 2012, he was appointed as an IEEE Computational Intelligence Society (CIS) GOLD Subcommittee panel member.

1books edited

1chapters authored

Latest work with IntechOpen by Ioannis Kypraios

An invariant object recognition system needs to be able to recognise the object under any usual a priori defined distortions such as translation, scaling and in-plane and out-of-plane rotation. Ideally, the system should be able to recognise (detect and classify) any complex scene of objects even within background clutter noise. In this book, we present recent advances towards achieving fully-robust object recognition. The relation and importance of object recognition in the cognitive processes of humans and animals is described as well as how human- and animal-like cognitive processes can be used for the design of biologically-inspired object recognition systems. Colour processing is discussed in the development of fully-robust object recognition systems. Examples of two main categories of object recognition systems, the optical correlators and pure artificial neural network architectures, are given. Finally, two examples of object recognition's applications are described in details. With the recent technological advancements object recognition becomes widely popular with existing applications in medicine for the study of human learning and memory, space science and remote sensing for image analysis, mobile computing and augmented reality, semiconductors industry, robotics and autonomous mobile navigation, public safety and urban management solutions and many more others. This book is a "must-read" for everyone with a core or wider interest in this "hot" area of cutting-edge research.

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