Niti Kant | Computational Theory | Best Researcher Award

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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.

Shougui Zhang | High Performance Computing | Best Researcher Award

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Prof. Dr. Shougui Zhang | High Performance Computing | Best Researcher Award

Teacher |Chongqing Normal University| China

Prof. Dr. Shougui Zhang is a distinguished scholar whose academic contributions focus primarily on computational mathematics, particularly in the field of numerical analysis and applied mathematics. His extensive research explores the numerical solution of partial differential equations (PDEs), an area that forms the foundation of many scientific and engineering applications. Zhang has made notable progress in the development and refinement of boundary element methods, which are efficient numerical techniques for solving boundary value problems that arise in physics and engineering disciplines such as fluid dynamics, elasticity, and electromagnetism. His work emphasizes mathematical rigor combined with computational efficiency, aiming to provide stable and accurate algorithms for complex real-world systems. A major aspect of his research involves variational inequalities, where he investigates computational methods for handling inequality constraints that frequently appear in optimization, contact mechanics, and obstacle problems. Zhang’s studies in this area contribute to bridging theoretical mathematical formulations with practical computational tools, enabling more precise simulations and analyses of nonlinear and constrained physical systems. His contributions extend beyond methodological innovation, influencing the design of advanced algorithms that improve the performance of numerical solvers and support the development of scientific computing frameworks. Over the years, he has published numerous research papers in recognized journals, reflecting a strong engagement with the global mathematical community. His interdisciplinary approach, combining mathematical theory, numerical techniques, and computational experimentation, enhances the understanding and application of PDE-based models across diverse domains. Zhang’s ongoing investigations into computational variational inequalities mark an important direction in applied mathematics, where numerical precision and computational feasibility must coexist. His research continues to play a key role in advancing the field of computational mathematics, fostering collaborations and innovative applications in scientific and engineering contexts. He has achieved 362 citations, authored 33 documents, and holds an h-index of 11.

Profiles: Scopus | ORCID
Featured Publication

Author(s). (2025). A self-adaptive alternating direction multiplier method for variational inequality in 2 domains. Applied Mathematics and Mechanics.

Author(s). (2025). Analysis of a Crank–Nicolson fast element-free Galerkin method for the nonlinear complex Ginzburg–Landau equation. Journal of Computational and Applied Mathematics. 7 Citations.

Author(s). (2024). Self-adaptive alternating direction method of multiplier for a fourth order variational inequality. Journal of Inequalities and Applications.

Mustafa Namdar | High Performance Computing | Best Researcher Award

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Assoc. Prof. Dr . Mustafa Namdar | High Performance Computing | Best Researcher Award

Assoc. Prof. Dr | Kutahya Dumlupinar University| Turkey

Dr. Mustafa Namdar has established a distinguished research profile in advanced wireless communications and network technologies, focusing on cognitive radio networks, cooperative communications, relay networks, interference alignment, non-orthogonal multiple access (NOMA), reconfigurable intelligent surfaces (RIS), and integrated sensing and communication (ISAC). His work emphasizes innovative solutions to enhance spectral efficiency, reliability, and performance in next-generation communication systems. Dr. Namdar has contributed extensively to the development of receiver diversity and dispersed spectrum sensing techniques, enabling efficient utilization of available spectrum and minimizing interference in dynamic network environments. His research integrates theoretical modeling with practical system design, addressing complex challenges in 5G and emerging 6G wireless technologies. He has actively collaborated on projects related to cooperative relay networks and interference management, which are critical for optimizing throughput and ensuring robust connectivity in dense network scenarios. In addition to his contributions to physical layer design, Dr. Namdar explores the potential of reconfigurable intelligent surfaces and ISAC frameworks to simultaneously support communication and sensing functionalities, offering a transformative approach for intelligent wireless networks. His work has been recognized through multiple awards, including the Outstanding Reviewer Award from Elsevier-AEU Journal and IEEE SIU Conference accolades, reflecting both the quality and impact of his research in the international community. Dr. Namdar’s expertise in NOMA and interference alignment provides practical solutions for multi-user communication scenarios, significantly advancing spectral efficiency and network capacity. He has also played a pivotal role in the technical evaluation of numerous research projects and has contributed as a reviewer and TPC member across prestigious IEEE conferences and journals, ensuring high standards in scholarly communications. His ongoing research aims to drive the evolution of future wireless networks with integrated sensing, enhanced resource allocation, and next-generation communication protocols. 272 Citations, 54 Documents, 10 h-index, View h-index.

Profiles:  Google Scholar | Scopus
Featured Publication

Alakoca, H., Namdar, M., Aldırmaz-Çolak, S., Basaran, M., Basgumus, A., & … (2023). Metasurface manipulation attacks: Potential security threats of RIS-aided 6G communications. IEEE Communications Magazine, 61(1), 24–30. 43 citations

Bayhan, E., Ozkan, Z., Namdar, M., & Basgumus, A. (2021). Deep learning based object detection and recognition of unmanned aerial vehicles. 2021 IEEE 3rd International Congress on Human-Computer Interaction. 41 citations

Ozkan, Z., Bayhan, E., Namdar, M., & Basgumus, A. (2021). Object detection and recognition of unmanned aerial vehicles using Raspberry Pi platform. 2021 IEEE 5th International Symposium on Multidisciplinary Studies and … 34 citations

Namdar, M., & Ilhan, H. (2018). Exact closed-form solution for detection probability in cognitive radio networks with switch-and-examine combining diversity. IEEE Transactions on Vehicular Technology, 67(9), 8215–8222. 23 citations

Namdar, M., Ilhan, H., & Durak-Ata, L. (2016). Optimal detection thresholds in spectrum sensing with receiver diversity. Wireless Personal Communications, 87, 63–81. 23 citations

Umakoglu, I., Namdar, M., Basgumus, A., Kara, F., Kaya, H., & Yanikomeroglu, H. (2021). BER performance comparison of AF and DF assisted relay selection schemes in cooperative NOMA systems. 2021 IEEE International Black Sea Conference on Communications and … 22 citations