CoPhe LAB

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Welcome to the Collective Phenomena Lab, (CoPhe LAB). Our research interests broadly encompass understanding the nonlinear interactions and collective dynamics in natural and artificial systems. We look at problems across a wide spectrum of systems that include, droplets in a microchannel, collective organismal motion, traffic and pedestrian dynamics. We use a combination of simple agent based models, data-driven approaches and machine learning to solve two kinds of problems:

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1. The forward problem:

   • Understanding how a given set of interactions between agents lead to interesting and useful features at the level of the collective.

2. The inverse problem: 

   • Designing or tuning the inter-agent interactions and the surroundings to achieve the desired group-level behavior [the engineering problem] or

   • Inferring the interactions between agents from data of the collective [data-science problem].