The Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, organized a Workshop on "Data-Driven Modelling 2018" from January 8-9, 2018.

About Data-Driven Modelling 2018

Data-driven dynamical systems is a burgeoning field-it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical system theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning.

The primary target audience of the workshop were MTech/M.Sc students, research scholars and faculty. The workshop also had an interactive session, with a free exchange of ideas, views, and comments.

Program Schedule

January 8

  1. Fundamentals Linear Algebra and Optimization
  2. Introduction to Proper Orthogonal Mode Decomposition
  3. Introduction to Dynamic Mode Decomposition
  4. Introduction to Koopman operator
  5. DMD and its Applications

Talk Title: Will a transition to a low-carbon economy lead to the next financial crisis?

Nowadays, there is a growing concern about the impact of the climate change on macroeconomic and financial stability. Climate change financial risks can be decomposed into two major categories: physical risks (e.g. caused by extreme weather events resulting in damages of the infrastructure) and climate policy risks (risks resulting from the climate policy regulations, e.g. imposing carbon tax or Emission Trading System (ETS), which leads to re-evaluation of the financial assets of the market players). While physical risks of climate change are hardly avoidable, climate policy risks can be evaluated and diminished if recognized early enough. In my lecture, I will discuss the methodology how to estimate climate policy risks and will show computed risks for different institutional sectors (e.g. non-financial firms, governments, insurnace&pension funds, households, and banks) and different countries. In addition, I will also show the monetary estimates of financial exposures between the sectors of the economy and illustrate on specific examples how financial distress can propagate from the financial system to households and real economy and from the real economy to the financial system. This analysis is essential for understanding the conditions leading to the financial crisis (and as result to high social costs), and for improving the assessment of the economic impact of climate policies.


Speaker: Dr. Veronika Stolbova (FINEXUS Center for Financial Networks and Sustainability Department of Banking and Finance, University of Zurich, Switzerland)

Venue: CEN class room

Januray 9

  1. Introduction to Non-linear Dynamics
  2. Introduction to Fluid Dynamic Equations and Data Collection by Simulation
  3. Nanofluidics
  4. Data driven modelling : Onset & withdrawal of Indian Monsoon
  5. Complex Networks

Talk Title: How to predict the upcoming spatially organized critical transition?

Understanding the variability of systems remains an outstanding scientific challenge especially for systems, which are far from equilibrium. Such systems are driven by internal non-linear processes, which make the evolution of this system transient. Transient behavior of the non-linear system is very sensitive to fluctuations and initial conditions. Therefore it is challenging to predict future changes in such systems from observational data alone since there is only one realization (of many possible transients) available. My lecture aims to connect theoretical insights of bifurcations to puzzles in our current understanding of the properties of spatially organized critical transitions in different systems. I start from the example of the study of natural phenomenon - the Indian Summer Monson to explain the principles of underlying mechanisms and then I will show how to apply concepts that may benefit science, engineering, and medicine.


Speaker: Prof. Elena Surovyatkina (Potsdam Institute for Climate Impact Research, Transdisciplinary Concepts&Methods, Potsdam, Germany; Space Research Institute of Russian Academy of Sciences, Space Dynamics and Data Analysis Department, Moscow, Russia)

Venue: CEN class room

Event Details
2018-01-08 09:00 to 2018-01-09 17:00
Computational Engineering and Networking
NIRF 2018
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