Train students

• mathematical modelling of complex dynamical systems
• build network based models from data
• analyse using theories of networks, nonlinear dynamics, stochastic dynamics, data analysis & machine learning
• high performance computing
• hands on experience through projects

ELECTIVE COURSES

Possible project topics (not exhaustive)

• climate science
• computational neuroscience
• machine learning in fluid dynamics
• biomimetic flows
• complex flows & physics of living matter
• urban climate modelling
• stochastic dynamics of spatio-temporal systems
• dynamics of social behaviour
• epidemic modelling

Employment opportunities

Emerging field

• modeling & analysis of complex dynamical systems
• curating data for mathematical modelling
• high performance computing
• experience with cutting edge multi-disciplinary
• financial systems and applications

Niche companies, R&D centers, start-ups

• Climate policy Initiative, San Francisco
• CII-Godrej Green Business Centre
• Hyundai
• Pfizer
• Mahindra Rise

Coordinating Faculty

Neelima Gupte(Physics)

Srinivas Chakravarthy(BioTech)

Sunetra Sarkar(Aerospace Engg)

Sayan Gupta(Applied Mechanics)

Mahesh Panchagnula(Applied Mechanics)

Arun Tangirala (Chemical Engg)

Anubhab Roy (Applied Mechanics)

Sumesh Thampi(Chemical Engg)

Students’ comments

• This programme seems like a good stepping stone for students to do interdisciplinary research.-Malayaja Chutani, PhD student, Dept of Physics.
• This center is very unique in India 🙂