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Ioannis Kypraios

Northeastern University London, United Kingdom

Dr. Kypraios has in total over 20 years of professional experience in industry and academia working in Computing and Artificial Intelligence (AI) areas with applications in Digital Healthcare Technologies (Translational Medicine) and others. Dr. Kypraios is currently an Associate Professor in AI and Machine Learning at Northeastern University, London. He has previously worked in several HE institutes, including the University of Sussex, the University of Oxford, the University of Ghent (Belgium), Anglia Ruskin University, and De Montfort University. Also, Dr. Kypraios had senior and head scientist positions in Continental ADAS SV (Perception and Sensing) and FotoNation (Xperi). He is the author of over 40 articles in international conferences and journals and over 60 technical reports, presentations, and invited talks. Dr. Kypraios is a peer reviewer for the International Journal of Intelligent Systems by Wiley and for the International Journal of PeerJ Computer Science. He is an editor for the journal of ICT Express by Elsevier, and he is the General co-chair for the International Conference on Images, Signals, and Computing (ICISC). Dr. Kypraios has been a member of The IET, the IEEE and he is a Fellow of the Higher Education Academy (FHEA). Dr. Kypraios has edited the IntechOpen book “Advances in Object Recognition Systems” (link: https://www.intechopen.com/books/1976) and has been an author of the following three chapters: 1. Performance Analysis of the Modified-Hybrid Optical Neural Network Object Recognition System Within Cluttered Scenes Link :https://www.intechopen.com/chapters/36678 2. A Cognitive Digital-Optical Architecture for Object Recognition Applications in Remote Sensing Link: https://www.intechopen.com/chapters/85869 3. Hybrid Optical Neural Network-Type Filters for Multiple Objects Recognition within Cluttered Scenes Link: https://www.intechopen.com/chapters/14781

Ioannis Kypraios

1books edited

2chapters 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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Advances in Object Recognition Systems IntechOpen
Advances in Object Recognition Systems Edited by Ioannis Kypraios

Advances in Object Recognition Systems

Edited by Ioannis Kypraios

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