Applied Mathematics in Engineering and Reliability

Applied Mathematics in Engineering and Reliability contains papers presented at the International Conference on Applied Mathematics in Engineering and Reliability (ICAMER 2016, Ho Chi Minh City, Viet Nam, 4-6 May 2016). The book covers a wide range of topics within mathematics applied in reliability, risk and engineering, including:

- Risk and Reliability Analysis Methods

- Maintenance Optimization

- Bayesian Methods

- Monte Carlo Methods for Parallel Computing of Reliability and Risk

- Advanced Mathematical Methods in Engineering

- Methods for solutions of Nonlinear Partial Differential Equations

- Statistics and Applied Statistics, etc.

The application areas range from Nuclear, Mechanical and Electrical Engineering to Information Technology and Communication, Safety Engineering, Environmental Engineering, Finance or Health and Medicine. The papers cover both theory and applications, which are focused to a wide range of sectors and problem areas. Integral demonstrations of the use of reliability and engineering mathematics are provided in many practical applications concerning major technological systems and structures.

Radim Briš is research worker and university professor in applied mathematics and technical cybernetics in the Faculty of Engineering and Computer Science of the VŠB-Technical University of Ostrava, Czech Republic. He is also senior researcher in applied statistics and operational research at the Centrum Excelence IT4Innovations at the same university, and team leader for the Stochastic reliability modelling and risk management group.
Dr. Briš recently became Vice-President of European Safety and Reliability Association, and is a member of ESRA Management Board. Previously, he spent one year as invited research professor at the Laboratoire de modélisation et de Sureté des Systemes, at the Université de Technologie de Troyes, France. He also spent 5 years in the position of Vice-Dean of the Faculty of Electrical Engineering and Computer Science, VŠB TU Ostrava.