Nirmal Punetha

About Myself: 

I am Nirmal Punetha, assistant professor at Amity University Haryana (AUH), a researcher working in the field of nonlinear dynamics, complex systems and machine learning. This webpage presents details of my research interests, projects, publications, teaching, and contact information. 

I completed my PhD from School of Physical Sciences, Jawaharlal Nehru University, New Delhi in 2014. My postdoctoral training includes working at University of Delhi as research associate, and at Max Planck Institute for the Physics of Complex Systems (MPI-PKS), Dresden, Germany as guest scientist. My teaching experience encompasses service as a guest faculty in the Department of Physics and Astrophysics, University of Delhi along with my current academic position at the Data Science Center, Amity Institute of Integrative Science and Health (AIISH), Amity University Haryana (AUH). 

My research interests broadly focus on nonlinear dynamics and complex systems. More recently, I have been exploring machine learning techniques and its potential for understanding wide range of behaviors exhibited by complex systems. Earlier, during my PhD, we investigated the effects of time-delays in coupled systems. Specifically, how the time–delay — which inherently comes in the coupling due to finite speed of the signals — modifies their dynamics including aspects of synchronization (emergence of collective rhythm), frequency, phase, and amplitude responses. My postdoctoral research focused on devising control strategies to regulate the collective dynamics of coupled oscillator networks, with particular emphasis on the phenomena of synchronization, oscillation quenching (cessation of oscillations) and chimera states (coexistence of synchronized and incoherent dynamics). In general, I am interested in the study of nonlinear dynamical systems, tools of data-science and machine learning with applications to interdisciplinary fields, for example, electronics, biology, ecology, climate science, time-series analysis, and neurology.

Research Area (Index Words): 

Nonlinear Dynamics, Complex Systems, Chaos theory, Coupled Systems, Collective Dynamics, Delay Differential Equations, Synchronization, Networks, Reservoir Computing