Indian Association for the Cultivation of Science - India
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🎓 Early Academic Pursuits
Dr. Mintu Karmakar's academic journey began with a strong foundation in physics, earning a Bachelor of Science in Physics from Balurghat College, University of Gour Banga, Malda. He continued his studies with a Master of Science in Physics from the Department of Physics, University of Gour Banga, Malda. His educational path culminated in a Ph.D. at the School of Mathematical & Computational Sciences, Indian Association for the Cultivation of Science (IACS), Kolkata, where he focused on the equilibrium and non-equilibrium properties of active matter systems. His early academic pursuits laid a solid groundwork for his future research in statistical mechanics and active matter physics.
💼 Professional Endeavors
Dr. Karmakar's professional endeavors are marked by his significant contributions to the field of statistical mechanics and active matter physics. His research at IACS involves non-equilibrium statistical mechanics, pattern formation, self-organized criticality (SOC), and epidemiological modeling. He has developed computational models to explain the flocking to motility-induced phase separation (MIPS) transition by active particles. Prior to his current role, he worked on bond diluted percolation in two-dimensional square lattices at the University of Gour Banga. His expertise extends to using high-performance computing for simulations, maintaining clusters, and scripting for automation and tool development.
🔬 Contributions and Research Focus
Dr. Karmakar's research contributions are centered around statistical mechanics and active matter systems. His work includes computational and theoretical modeling of collective behavior in self-propelled particles (SPPs), active Ornstein-Uhlenbeck processes, and self-organized criticality (SOC). His research also involves developing models for epidemiological processes and studying pattern formation and clustering. These contributions have significantly advanced the understanding of non-equilibrium statistical mechanics and have practical implications for various fields, including complex systems and epidemiology.
🌍 Impact and Influence
Dr. Karmakar's research has made a notable impact in the field of statistical mechanics. He has actively participated in various conferences, presenting his findings and contributing to the academic community. His presentations at international conferences, such as the International Conference on Statistical and Computational Physics (ICSCP-2022) and the Conference of the Middle European Cooperation in Statistical Physics (MECO 47), have garnered recognition. His participation in high-profile events like the DPG Spring Meeting in Berlin further underscores his influence in the field.
🏆Academic Cites
Dr. Karmakar's work is well-recognized in academic circles, with multiple citations in the domain of statistical mechanics. His research on non-equilibrium statistical mechanics, active matter systems, and epidemiological modeling has been influential, contributing to the body of knowledge in these areas. His published papers and presentations have been cited in various journals and conferences, reflecting the significance of his contributions.
🌟 Legacy and Future Contributions
Dr. Mintu Karmakar's future contributions are poised to further advance the field of statistical mechanics. His ongoing research in active matter systems and epidemiological modeling will likely lead to new insights and applications. His legacy will be marked by his innovative approaches to studying non-equilibrium systems and his influence on future research in statistical mechanics. As he continues to contribute to the academic community, his work will inspire and inform future generations of researchers in the field.
📝Statistical mechanics
Dr. Karmakar's expertise in statistical mechanics is evident through his research on non-equilibrium properties, active matter systems, and computational modeling. His work on statistical mechanics has provided valuable insights into pattern formation, clustering, and self-organized criticality (SOC). The future of statistical mechanics research, particularly in the context of active matter and epidemiological modeling, will benefit from his ongoing contributions.
Notable Publication
📝Ordering kinetics in the active Ising model
Authors: Bandyopadhyay, S., Chatterjee, S., Dutta, A.K., Rieger, H., Paul, R.
Journal: Physical Review E
Year: 2024
Citations: 0
📝Consequence of anisotropy on flocking: the discretized Vicsek model
Authors: Karmakar, M., Chatterjee, S., Paul, R., Rieger, H.
Journal: New Journal of Physics
Year: 2024
Citations: 0
📝Jamming and flocking in the restricted active Potts model
Authors: Karmakar, M., Chatterjee, S., Mangeat, M., Rieger, H., Paul, R.
Journal: Physical Review E
Year: 2023
Citations: 2
📝Self-organized criticality of magnetic avalanches in disordered ferrimagnetic material
Authors: Mondal, S., Karmakar, M., Dutta, P., Majumdar, S., Paul, R.
Journal: Physical Review E
Year: 2023
Citations: 1
📝SEIRD model to study the asymptomatic growth during COVID-19 pandemic in India
Authors: Chatterjee, S., Sarkar, A., Karmakar, M., Chatterjee, S., Paul, R.
Journal: Indian Journal of Physics
Year: 2021
Citations: 8
📝Studying the progress of COVID-19 outbreak in India using SIRD model
Authors: Chatterjee, S., Sarkar, A., Chatterjee, S., Karmakar, M., Paul, R.
Journal: Indian Journal of Physics
Year: 2021
Citations: 35