Vladimir M. Koleshko

Belarusian National Technical UniversityBelarus

Prof. Vladimir M. Koleshko is the noted scientist in the field of intelligent systems, solid state micro-nanoelectronics and integrated circuit technology. His main scientific interests are: intelligent devices, machines, technologies and systems of broad purposes of the application, acousto-and bioinformatics, micro-nanoelectronics, micro-nanomaterials and nanotechnologies, micro-nanoprocessor sensory systems and monitoring networks, elemental base of computing machinery, information security, human-and brain informatics, medical apparatus building, biosafety. Prof. Koleshko V.M. is the author of a fundamental scientific USSR discovery № 395 (18.02.1988) in brain acoustoelectronic phenomena and of a discovery \Hyperconductivity of thin-film structures\ protected by patent of Russian Federation \Thin-film structures of high-temperature superconductors\ (Т=82K). Prof. Koleshko V.M is the author of 8 scientific-and-innovative monographs (1978-1988) and 5 electronic books \Cognitive technology of consciousness\ with 3D videofilms: \Brain nanoelectronics\ (Vol.1), \Control of objects by power of thought\ (Vol.2), \Intelligent systems in biometrics\ (Vol.3), \Intelligent sensory micro-nanosystems and networks\ (Vol.4), \Cell phones, smartphones and aging of organism\ (Vol.5), but also 35 booklets and educational-methodological textbooks for students, Master students, PhD students, 550 scientifical articles, 620 innovative patents for invention.

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Latest work with IntechOpen by Vladimir M. Koleshko

This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.

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