Proceedings of International Scientific Conference on Telecommunications, Computing and Control
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This book provides a platform for academics and practitioners for sharing innovative results, approaches, developments, and research projects in computer science and information technology, focusing on the latest challenges in advanced computing and solutions introducing mathematical and engineering approaches. The book presents discussions in the area of advances and challenges of modern computer science, including telecommunications and signal processing, machine learning and artificial intelligence, intelligent control systems, modeling and simulation, data science and big data, data…mehr

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Produktbeschreibung
This book provides a platform for academics and practitioners for sharing innovative results, approaches, developments, and research projects in computer science and information technology, focusing on the latest challenges in advanced computing and solutions introducing mathematical and engineering approaches. The book presents discussions in the area of advances and challenges of modern computer science, including telecommunications and signal processing, machine learning and artificial intelligence, intelligent control systems, modeling and simulation, data science and big data, data visualization and graphics systems, distributed, cloud and high-performance computing, and software engineering. The papers included are presented at TELECCON 2019 organized by Peter the Great St. Petersburg University during November 18-19, 2019.
Autorenporträt
Nikita Voinov has been Associate Professor of the Higher School of Software Engineering at the Institute of Computer Science and Technology of Peter the Great St. Petersburg Polytechnic University since 2012, becoming Deputy Director for Science and Research in 2018. Dr. Voinov's research interests run a gamut of topics including the technologies for developing mobile applications, information management and data storage, cloud infrastructure and services, and data science and analysis of big data. The current research projects he is participating in are "Technologies and toolset for reliable control of production areas of Internet of Things" (joint project with the Indian Institute of Technology Bombay, Mumbai, India) and "Methods and technologies for verification and development of software for modeling and calculations using HPC platform with extramassive parallelism.   Tobias Shreck has been Professor at the Institute of Computer Graphics and Knowledge Visualization at the Faculty for Computer Science and Biomedical Engineering of Graz University of Technology since 2015. His research interests concern visual data analysis and applied 3D object retrieval. Professor Shreck has acted as a principal investigator in several funded research projects, describing how large collections of data can be visually explored and analyzed for data understanding and decision-making. Another focus of research is how users can interactively search for visual patterns in data, assisted by similarity functions, visual quality measures, and novel search interfaces, including approaches based on user sketching and eye tracking, and how to interactively visualize and steer machine learning approaches like clustering and regression analysis by users, supporting effective and scalable data exploration. Potential applications include, among others, data exploration for engineering and industrial applications, in research data repositories, and digital libraries. Professor Shreck has served as a program co-chair for the IEEE Conference on Visual Analytics Science and Technology in 2017 and 2018, and is currently Associate Editor for IEEE Transactions on Visualization and Computer Graphics.   Sanowar Khan has been with the School of Mathematics, Computer Science and Engineering of City, University of London, since 1989. Professor Khan's research interests cover mathematical modeling and CAD of sensors, actuators and devices, computational electromagnetics, magnetic shape memory smart materials, finite element modeling and numerical methods, and forward and inverse problems in tomographic imaging. Professor Khan is Honorary Professor of SPPU, Fellow of the Institution of Engineering and Technology, the Institute of Measurement and Control, and a member of the IEEE, IEEE Magnetics, Engineering in Medicine and Biology, and Instrumentation and Measurement societies. He is also a founder member of the International Compumag Society and a member of the Journal Editorial Committee of Measurement and Control. Professor Khan is Editor-in-Chief of the journal Sensor Review. He has been Associate Editor of the journal Measurement, and the International Journal on Measurement Technologies and Instrumentation Engineering.