Niti Kant | Computational Theory | Best Researcher Award

Published on by Computer Science Engineering

Prof. Dr. Niti Kant | Computational Theory | Best Researcher Award

Professor | University of Allahabad | India

Prof. Dr. Niti Kant is a distinguished physicist currently serving in the Department of Physics, University of Allahabad, Prayagraj, India. With a Ph.D. from the Indian Institute of Technology (IIT) Delhi (2005) under the supervision of Dr. A. K. Sharma, his research focuses on laser–plasma interaction, self-focusing of lasers, harmonic generation, laser-induced electron acceleration, and terahertz (THz) radiation generation. Over the past two decades, Dr. Kant has made significant contributions to theoretical plasma physics, employing advanced analytical and numerical modeling approaches using Mathematica and Origin. He has published over 150 research papers in reputed international journals indexed by SCI, earning an H-index of 33 on Google Scholar, reflecting the global impact of his research. His academic journey includes postdoctoral research at POSTECH, South Korea, and academic leadership at Lovely Professional University, Punjab, where he served as Professor before joining the University of Allahabad. Dr. Kant has successfully led several sponsored research projects funded by CSIR, SERB, and DST, totaling over ₹50 lakhs, and has guided more than ten Ph.D. scholars in cutting-edge areas such as THz generation, nonlinear optics, and high-power laser–matter interaction. A life member of several prestigious scientific societies, including the Indian Science Congress Association, Optical Society of India, and Plasma Science Society of India, he also serves on editorial and review boards of international journals and as a peer reviewer for top publishers like Elsevier, IOP, and AIP. His work has been recognized with multiple honors, including the Merit Award (2024) by the University of Allahabad, Research Excellence Awards (2020, 2021), and the Outstanding Scientist Award (2020). With active international collaborations across the UK, Czech Republic, South Korea, and the USA, Dr. Kant’s research continues to advance the frontiers of laser–plasma physics, contributing to innovations in photonics, clean energy, and applied plasma technologies with profound implications for scientific and technological progress.

Featured Publication

Kamboj, O., Azad, T., Rajput, J., & Kant, N. (2025). The effect of density ramp on self-focusing of q-Gaussian laser beam in magnetized plasma. Journal of Optics (India). Citations: 2

Azad, T., Kant, N., & Kamboj, O. (2025). Efficient THz generation by Hermite–cosh–Gaussian lasers in plasma with slanting density modulation. Journal of Optics (India). Citations: 23

Singh, J., Kumar, S., Kant, N., & Rajput, J. (2025). Effect of frequency-chirped ionization laser on accelerated electron beam characteristics in plasma wakefield acceleration. European Physical Journal Plus. Citations: 1

Anshal, L., Kant, N., Azad, T., Rajput, J., & Kamboj, O. (2025). Propagation of Hermite–cosh–Gaussian laser beam in free-electron laser device under upward plasma density ramp. Laser Physics Letters. Citations: 1

Azad, T., Kant, N., & Kamboj, O. (2025). Enhanced third harmonic generation and SRS suppression in magnetized rippled plasma using Hermite cosh–Gaussian laser beam. Journal of Optics (India). Citations: 2

Prof. Dr. Niti Kant’s pioneering research in laser–plasma interaction, nonlinear optics, and terahertz generation has advanced the understanding of high-power laser applications, enabling innovations in photonics, clean energy, and next-generation communication technologies. His work bridges fundamental physics with practical technologies, fostering global scientific collaboration and contributing to sustainable technological progress.

Daniel Atnafu Chekole | Computational Theory | Best Researcher Award

Published on by Computer Science Engineering

Mr. Daniel Atnafu Chekole | Computational Theory | Best Researcher Award

Researcher | Space Science and Geospatial Institute | Ethiopia

Mr. Daniel Chekole specializes in atmospheric and space physics, with focused expertise in ionospheric modeling, space weather forecasting, and heliospheric studies. His research integrates ground-based and satellite data to investigate ionospheric dynamics, magnetospheric processes, and their coupling with solar-terrestrial interactions. His scientific contributions emphasize the development and validation of regional ionospheric and atmospheric models using advanced computational methods and machine learning algorithms. Daniel has played a leading role in projects such as the development of regional HF propagation and ionospheric models, prediction of solar energetic particle flux using artificial intelligence, and the establishment of monitoring systems like the Mini-Neutron Monitor. His scholarly work explores low-frequency plasma waves, magnetohydrodynamic instabilities, and the effects of rotation and self-gravity in plasma environments, contributing to the understanding of astrophysical and geophysical plasma systems. Through publications in reputed journals, he has analyzed the performance of ionospheric models such as NeQuick-2 and IRI-Plas over East Africa, evaluated solar and geomagnetic activity indices, and examined storm-time ionospheric irregularities. His technical proficiency spans MATLAB, Python, and MHD simulation tools, which he applies in the modeling and forecasting of space weather phenomena relevant to communication and navigation systems. Daniel’s participation in international workshops and collaborations with institutions such as NASA, UCAR/CPAESS, and DLR reflects a strong engagement in the global heliophysics and space science community. His ongoing work continues to contribute to regional and international initiatives aimed at enhancing predictive capabilities for solar-terrestrial disturbances and improving understanding of ionospheric variability over equatorial regions. Daniel Chekole’s research contributions are reflected in 17 citations, 5 documents, and an h-index of 2 (View h-index).

Profiles: Google Scholar | Scopus | ORCID
Featured Publication

Chekole, D. A., Giday, N. M., & Nigussie, M. (2019). Performance of NeQuick-2, IRI-Plas 2017 and GIM models over Ethiopia during varying solar activity periods. Journal of Atmospheric and Solar-Terrestrial Physics, 195, 105117. Cited by 14.

Moges, S. T., Giday, N. M., Chekole, D. A., Ulich, T., & Sherstyukov, R. O. (2022). Storm-time observations of traveling ionospheric disturbances and ionospheric irregularities in East Africa. Radio Science, e2022RS007426. Cited by 7.

Strauss, R. D., Giday, N. M., Seba, E. B., Chekole, D. A., Garuma, G. F., Kassa, B. H., & others. (2023). First results from the ENTOTO neutron monitor: Quantifying the waiting time distribution. Advances in Space Research, 72(3), 805–815. Cited by 5.

Garuma, G. F., Tessema, S. B., Tiky, A. Y., Addis, Z. W., Adde, Y. A., Giday, N. M., & others. (2022). First Ethiopian Remote Sensing Satellite (ETRSS-1): Mission information and overview. Authorea Preprints. Cited by 5.

Chekole, D. A., & Giday, N. M. (2020). Evaluation of ionospheric and solar proxy indices for IRI-Plas 2017 model over the East African equatorial region during solar cycle 24. Advances in Space Research, 66(3), 604–611. Cited by 3.