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Faculties

Rhine Kumar A. K

Assistant Professor

Phone: +914842862451

Email: rhinekumar@cusat.ac.in

BRIEF BIO
Understanding many-body systems through data-driven corroboration is inherently intensive, and the atomic nucleus serves as one of the most compelling examples of such systems. Investigations of nuclei at the limits of stability provide crucial insights into the nature of the nuclear force, which remains one of the least well-understood fundamental interactions. Theoretical efforts in this domain primarily aim to test and validate nuclear models under extreme conditions, thereby examining the assumptions that underlie them. My research focuses on exploring the properties of atomic nuclei under extreme conditions and the associated phase transitions. These studies are of significant interest, as they offer the potential to uncover fundamental aspects of many-body physics. My research interests include nuclear structure theory, with particular emphasis on giant resonances, nuclear fission, thermal pairing, nuclear level densities, and the application of machine learning techniques to nuclear physics.

Topics of Research
    Nuclear Structure Theory, Artificial Intelligence, Machine Learning, Deep Neural Network.
Awards and Honours
  • Hon. Director, Centre for Particle Physics, CUSAT, since August 2025
  • Co-ordinator, CUSAT-GSI-FAIR GET_Involved programme, since December-2025.
  • CUSAT Coordinator (Faculty of Science) of the Young Innovators Programme of Kerala Development and Innovation Strategic Council (K-DISC), Govt. of Kerala, since Feb-2025.
  • ANRF-SERB Core Research Grant, in the year 2024
  • Senate Member, CUSAT, since 2023
  • Radiological Safety Officer (RSO), CUSAT, since 2022
  • Member, Faculty of Science, CUSAT (2019 to 2023)
  • Member, Board of Studies in Physics, CUSAT (2019 to 2023)
  • Assistant Professor, Department of Physics, Cochin University of Science and Technology, Cochin, Kerala, India, since 29 June 2017
  • DST-INSPIRE Faculty at Department of Physics, National Institute of Technology Karnataka, Surathkal, India from May 2017 to 28 - June, 2017
  • DST-INSPIRE Faculty Award DST, 2016
  • Selected for the SERB Indo-US Postdoctoral Fellowship for the year 2016, supported by the Science and Engineering Research Board (SERB) and Indo-US Science and Technology Forum (IUSSTF) (Not availed)
  • Prof. C. V. K. BABA AWARD for best thesis in Nuclear Physics, Indian Physics Association, 2015
Projects
  • Towards the microscopic understanding of the thermodynamic properties of atomic nuclei, SERB-ANRF, Core Research Grant, 2024 -2027, PI, Total outlay Rs. 28 Lakhs.
  • Solving Complex Problems Using High Performance Cluster, RUSA 2.0 T3A, CUSAT, Govt. of India, 2023 -2026, Co-PI, Total outlay Rs. 3.24 Crores.
  • Study of giant dipole resonance in hot and rotating nuclei, DST- INSPIRE, Govt. of India, 2027 -2023, PI, Total outlay Rs. 35 Lakhs.
Collaborations
  • Tata Institute of Fundamental Research, Mumbai-400005, India
  • Indian Institute of Technology, Roorkee-247667, India
  • Bhabha Atomic Research Centre, Mumbai-400085, India
  • Variable Energy Cyclotron Centre, 1/AF Bidhannagar, Kolkata 700064, India
  • Inter University Accelerator Centre, New Delhi, India
  • RIKEN, Japan
PhD/Project Students
  • Jyothish K., Nuclear Structure Theory, 2019, ongoing, PhD Student
  • Gokul A., Nuclear Structure Theory, 2020, ongoing, PhD Student
  • Parvathi V Nair, Nuclear Structure Theory, 2021, ongoing, PhD Student
  • Asmitha M. R., Nuclear Structure Theory, 2024, ongoing, PhD Student
  • Niranjana Rojith, 2025, Project Student
  • Sreelakshmi S., 2025, Project Student
Recent Publications
  • K Jyothish, Suryan Sivadas M. S and A. K. Rhine Kumar; Examining potential energy surface through Chebyshev shape parametrization" has been accepted for publication in the Physica Scripta, IOP publications (2026). https://doi.org/10.1088/1402-4896/ae4e6b
  • K Jyothish, Suryan Sivadas M. S and A. K. Rhine Kumar; Exploring the nuclear landscape using neural network techniques; International Journal of Modern Physics E 25, 2650001 (2026). https://doi.org/10.1142/S0218301326500011
  • K Jyothish, Govardhan Manangode and A. K. Rhine Kumar; Transfer-learning-driven machine-learning model for α-decay half-life predictions; Phys. Rev. C 112, 064309 (2025). https://doi.org/10.1103/67c1-2dvd
  • V. Ranga, I. Mazumda, S.P. Weppner, S. Panwar, R. Sariyal, S.M. Patel, P.B. Chavan, A. K. Rhine Kumar, G. Anil Kumar; Measurement of proton induced absolute production cross-section of 6.13, 6.92 and 7.12MeV γ-rays from 16O(p,p′γ)16O reaction; J. Phys. G: Nucl. Part. Phys. 51, 045101 (2024). https://iopscience.iop.org/article/10.1088/1361-6471/ad1fd3/pdf

IQAC Profile Link: Dr. RHINE KUMAR A. K.

Google Scholar Link: Dr. RHINE KUMAR A. K.

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