Person:
Kundu, Prosenjit

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Prosenjit Kundu

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079-68261559

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Physics and Mathematical Sciences, Applied Mathematics, Complex Networks, Dynamical Systems

Abstract

Biography

Prosenjit Kundu is an Assistant Professor at DAIICT, Gandhinagar. Before joining here at DAIICT he was a Visiting Assistant Professor at State University of New York (SUNY) at Buffalo, USA. Prior to that he was a postdoctoral fellow at Bar-Ilan University, Israel. Formerly he was a Visiting Scientist at Indian Statistical Institute (ISI), Kolkata. Prosenjit received his PhD degree in 2019 from National Institute of Technology, Durgapur and M.Sc in Mathematics with Computer Applications in 2013. The research interest of Prosenjit mainly focuses on collective behavior of networked dynamical systems which include studying synchronization, dimension reduction of networked dynamical systems etc. Prosenjit is also interested in data science. He is interested in studying the empirical water distribution networks. He has collaborators in countries like India, USA, France, Italy, Israel, Japan, China and look forward to make many more. Prosenjit is a potential reviewer of many internationally reputed journals like Communications Physics, Chaos, Complexity, Physica D, Frontiers in Computational Neuroscience, Physical Review etc. He has presented my research works in many international conferences in India, France, Italy, Israel, USA.

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2023 - 20256

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Now showing 1 - 6 of 6
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    Perfect synchronization in complex networks with higher-order interactions
    (APS Publishing, 08-08-2023) Dutta, Sangita; Kundu, Prosenjit; Khanra, Pitambar; Hens, Chittaranjan; Pal, Pinaki; kundu, Prosenjit; kundu, Prosenjit; kundu, Prosenjit; Kundu, Prosenjit; kundu, Prosenjit; DA-IICT, Gandhinagar
    In our previous work Singh (2022a), we proposed a novel Remote-Model View Remote-View-Model (RMVRVM) paradigm to reduce battery consumption by MVVM-based UI-centric cloud-connected applications. In this paper, we present new results and details of the architecture and properties of the RMVRVM paradigm, discuss the complexity shift, provide a migration framework to help practitioners migrate the existing MVVM-based applications and also discuss the possibility of RMVRVM replacing MVVM. We apply the migration framework on an open-source MVVM application and run the experiment to prove the efficacy of RMVRVM. We also expanded the experiments to include the iOS platform and 4G network. To cover the complexity shift to server-side, we discuss the energy consumption on the cloud and how energy-saving practices in cloud data centers help save overall energy consumption.
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    Dimension reduction in higher-order contagious phenomena
    (AIP Publishing, 25-05-2023) Ghosh, Subrata; Khanra, Pitambar; Kundu, Prosenjit; Ji, Peng; Ghosh, Dibakar; Hens, Chittaranjan; kundu, Prosenjit; kundu, Prosenjit; kundu, Prosenjit; Kundu, Prosenjit; kundu, Prosenjit; DA-IICT, Gandhinagar
    We investigate epidemic spreading in a deterministic susceptible-infected-susceptible model on uncorrelated heterogeneous networks with higher-order interactions. We provide a recipe for the construction of one-dimensional reduced model (resilience function) of the�-dimensional susceptible-infected-susceptible dynamics in the presence of higher-order interactions. Utilizing this reduction process, we are able to capture the microscopic and macroscopic behavior of infectious networks. We find that the microscopic state of nodes (fraction of stable healthy individual of each node) inversely scales with their degree, and it becomes diminished due to the presence of higher-order interactions. In this case, we analytically obtain that the macroscopic state of the system (fraction of infectious or healthy population) undergoes abrupt transition. Additionally, we quantify the network�s resilience, i.e., how the topological changes affect the stable infected population. Finally, we provide an alternative framework of dimension reduction based on the spectral analysis of the network, which can identify the critical onset of the disease in the presence or absence of higher-order interactions. Both reduction methods can be extended for a large class of dynamical models.
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    Impact of phase lag on synchronization in frustrated Kuramoto model with higher-order interactions
    (APS Publishing, 18-09-2023) Dutta, Sangita; Mondal, Abhijit; Kundu, Prosenjit; Khanra, Pitambar; Pal, Pinaki; Hens, Chittaranjan; kundu, Prosenjit; kundu, Prosenjit; kundu, Prosenjit; Kundu, Prosenjit; kundu, Prosenjit; DA-IICT, Gandhinagar
    The study of first order transition (explosive synchronization) in an ensemble (network) of coupled oscillators has been the topic of paramount interest among the researchers for more than one decade. Several frameworks have been proposed to induce explosive synchronization in a network and it has been reported that phase frustration in a network usually suppresses first order transition in the presence of pairwise interactions among the oscillators. However, on the contrary, by considering networks of phase frustrated coupled oscillators in the presence of higher-order interactions (up to 2-simplexes) we show here, under certain conditions, phase frustration can promote explosive synchronization in a network. A low-dimensional model of the network in the thermodynamic limit is derived using the Ott-Antonsen ansatz to explain this surprising result. Analytical treatment of the low-dimensional model, including bifurcation analysis, explains the apparent counter intuitive result quite clearly.
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    Transition to synchronization in the adaptive Sakaguchi-Kuramoto model with higher-order interactions
    (American Physical Society (APS), 26-12-2024) Dutta, Sangita; Khanra, Pitambar; Hens, Chittaranjan; Pal, Pinaki; Kundu, Prosenjit; DA-IICT, Gandhinagar
    We investigate the phenomenon of transition to synchronization in the Sakaguchi-Kuramoto model in the presence of higher-order interactions and global order parameter adaptation. The investigation is done by performing extensive numerical simulations and low-dimensional modeling of the system. Numerical simulations of the full system show both continuous (second-order) as well as discontinuous transitions. The discontinuous transitions can either be associated with explosive (first-order) or tiered synchronization states depending on the choice of parameters. To develop an in depth understanding of the transition scenario in the parameter space we derive a reduced order model (ROM) using the Ott-Antonsen ansatz, the results of which closely match with those of the numerical simulations of the full system. The simplicity and analytical accessibility of the ROM help to conveniently unfold the transition scenario in the system having complex dependence on the parameters. Simultaneous analysis of the full system and the ROM clearly identifies the regions of the parameter space exhibiting different types of transitions. It is observed that the second-order transition is connected with a supercritical pitchfork bifurcation (PB) of the ROM. On the other hand, the discontinuous tiered transition is associated with multiple saddle-node (SN) bifurcations along with a supercritical PB and the first-order transition involves a subcritical PB alongside a SN bifurcation. Finally, the stability analysis of the different synchronization states of the system is performed analytically.
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    Symmetry invariance in nonlinear dynamical complex networks
    (Elsevier, 01-08-2024) Mondal, Abhijit; Ghosh, Subrata; Kundu, Prosenjit; Khanra, Pitambar; Boccaletti, Stefano; Pal, Pinaki; Hens, Chittaranjan; Kundu, Prosenjit; DA-IICT, Gandhinagar
    We delve into the interplay between network�s symmetry and functioning for a generic class of�dynamical systems. Primarily, we focus on a class of systems that characterize the spreading process, such as the spread of epidemics in complex networks, where the coupling configuration is nonlinear rather than diffusive. Through theoretical and numerical analysis, we establish a compelling connection between the symmetry of the graph and the trajectories followed by the dynamical processes for those nodes forming symmetry orbits and displaying identical�eigenvector�centrality. In particular, we are able to show that when the initial transitory states are removed, the symmetric group of nodes respond synchronously; nonetheless, they maintain a constant distance from each other and hence follow splay states. We have verified this phenomenon once more using two distinct kinds of networks. In one instance, every node takes part in nontrivial clusters. In the alternative scenario, we create symmetric orbits as per our target. The cluster nodes show splay states in both situations.
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    Double explosive Kuramoto transition in hypergraphs
    (American Physical Society (APS), 02-06-2025) Dutta, Sangita; Kundu, Prosenjit; Khanra, Pitambar; Minati, Ludovico; Boccaletti, Stefano; Pal, Pinaki; Hens, Chittaranjan; DA-IICT, Gandhinagar