Workshop on Stochastic Modelling: Applications in Civil Engineering
The Department of Civil Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore campus, will organize a Workshop on Stochastic Modelling: Applications in Civil Engineering from March 13-14, 2020.
This workshop is designed to give both the fundamental understanding about probabilistic analysis and the ability to apply stochastic models to Civil engineering applications. Uncertainty is inherent to the process of structural and hydrologic designs. Design parameters describing the structural members and systems cannot be perfectly known, which can be explicitly described in a probabilistic sense, offering more realistic framework in Civil engineering design and analysis. The reliability methods are widely incorporated into design codes, are based on the concepts of probability theory and stochastic nature of design parameters. The topics covered in the workshop include:
Stochastic data analysis
The workshop also includes applications and case examples. Participants are also will perform simulation and analysis tasks.
The workshop is suitable for postgraduate and PhD students as well as faculty and researchers interested in stochastic modelling, particularly in structural engineering, water resources, hydrology and environmental areas. Basic knowledge in MATLAB programming is an advantage, but not a prerequisite.
Dr. Subhamoy Sen
Dr. Subhamoy Sen is Assistant Professor in the School of Engineering, Indian Institute of Technology Mandi. He is also the head of Team information and Statitics for Stochastic Structural Systems(i4S)at IIT Mandi. Dr Sen did his PhD at IIT Kharagpur and Post-Doctoral research at Institut National de Recherche enInformatique et en Automatique (INRIA), France. His research interest includes structural dynamics, vibration analysis, signal filtering and parameter estimation techniques, Bayesian updating, inverse problems and Kalman filtering.
Dr. K. S. Kasiviswanathan
Dr. Kasiviswanathan is Assistant Professor in the Department of Water Resources Development & Management, Indian Institute of Technology Roorkee. Dr Kasi did his PhD at IIT Madras and Post-Doctoral researchat University of Calgary, Canada and Heriot-Watt University, UK. His research interest includes stochastic hydrological modelling, uncertainty analysis, forecasting and frequency analysis, and non-stationarity analysis