Advanced Computing in Industrial Mathematics: 17th Annual Meeting of the Bulgarian Section of SIAM, December 20-22, 2022, Sofia, Bulgaria, Revised ... (Studies in Computational Intelligence, 641) - Tapa dura

Acerca del autor

Ivan Georgiev is Professor of Mathematical Modelling at the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. He received a Master's degree in Mathematics from Sofia University St. Kliment Ohridski and a PhD in Computational Mathematics from the Bulgarian Academy of Sciences. His research interests are in mathematical modelling, numerical simulations, 3D digitization and microstructural analysis. 

Hristo Kostadinov was born in Sofia, Bulgaria, in 1974. He received the B. Sc. degree and M. Sc. degree in 1998, and 2001, respectively at Sofia University, Sofia, Bulgaria. In March 2005, he received his Ph. D. degree at the University of Electro-Communications, Tokyo, Japan. Since 2012 he is Associate Professor at the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences. His research interests are in coding theory, information and communication theory, signals, blockchain and internet of things.

Elena Lilkova is an Associate Professor of Applied Mathematics in Computational Physics and Biology at the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. She has a PhD in Atomic and Molecular Physics from Sofia University. Her research interests include computational modeling of biological macromolecules and their interactions, enhanced sampling techniques, methods for free energy estimation, and the development of new methods and protocols for more effective study of macromolecular interactions.

De la contraportada

This book gathers the peer-reviewed proceedings of the 17th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'22, held in Sofia, Bulgaria. The general theme of BGSIAM'22 was industrial and applied mathematics with particular focus on: mathematical physics, numerical analysis, high performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, advanced computing in environmental, biomedical and engineering applications.