The focus of the Centres is to leverage the recent developments in data science to build mathematical models for large ordered complex systems and study critical transitions and extreme events in flow and energy systems in engineering and nature.
Complex Systems and Dynamics
The aim of the proposed center is to contribute to the development of new techniques and tools for mathematical modelling and analysis of complex dynamical systems and to investigate some of the challenging dynamical problems in climate science, neuroscience, biological systems, multiphysics systems and active flows. In addition to enhancing the fundamental understanding of the universal features, which contribute to similar phenomena which occur across a diversity of systems, the effort could also translate into delivering technology which is useful in industrial and societal contexts. This center is envisaged as an interdisciplinary center drawing on expertise from science, engineering and humanities departments to develop the expertise and synergy required for the proposed outcomes.
Principal Investigator: Sayan Gupta
Critical Transitions in Complex Systems
Several real-world systems exhibit critical transitions such as the sudden crash of financial markets, failure of space mission due to thermoacoustic instability and onset of extreme weather conditions. By considering a complex systems approach, our project aims at developing early-warning-signals to predict, and smart control actions to mitigate the occurrence of such critical transitions in engineering and nature. We further envision to translate our understanding developed via the approach of complexity science into easy-to-use products through start-up incubation. We also aim to set up an online international program comprising webinars, short term courses, workshops and an international master’s degree program accessible to a wide audience across the globe.
Principal Investigator: R. I. Sujith