Mr. Shehzad Khan | Best Researcher Award

Mr. Shehzad Khan | Best Researcher Award

Nanjing University of Science and Technology | China

Mr. Shehzad Khan is a promising Pakistani quantum physicist with a growing research profile in the fields of quantum optics, quantum information, plasmonics, and nonlinear optics. With an h-index of 2, 3 published documents, and 7 citations, he has contributed to several high-impact journals, including Results in Physics, The European Physical Journal Plus, International Journal of Theoretical Physics, Journal of Magnetism and Magnetic Materials, and Physics Letters A. He completed his Bachelor’s degree in Physics from the University of Malakand (2019–2023), where his thesis focused on “Manipulation of Spectral Hole Burning in Atomic Medium by Doppler Broadening Effect.” His research expertise includes density matrix formalism, optical solitons, Goos-Hänchen shift, photonic spin Hall effect, and surface plasmon polaritons. Shehzad has demonstrated strong analytical and computational skills using Mathematica, MATLAB, and LaTeX, coupled with proficiency in data analysis and technical writing. Recognized for his academic excellence, he received the Higher Education Commission (HEC) Laptop Award for outstanding performance and an HEC Merit and Need-Based Scholarship. With a clear vision to advance the understanding of light-matter interaction and quantum systems, Shehzad Khan aspires to make impactful contributions to modern quantum science and optical physics.

Profile : Scopus

Featured Publications

Khan, S., Bilal, M., Uddin, S., Akgül, A., & Riaz, M. B. (2024). Spherical manipulation of lateral shifts in reflection and transmission through chiral medium. Results in Physics, 107647.

Khan, S., Saeed, M., Khan, M. A., Aldosary, S. F., & Ahmad, S. Coherent manipulation of optical solitons in four-level N-type atomic medium. International Journal of Theoretical Physics.

Ullah, R., Khan, S., Amina, S., & Javaid, S. Tunable cratering of lateral Goos–Hänchen shift in reflection and transmission of structured light in a chiral atomic medium. The European Physical Journal Plus.

Ullah, H., Khan, S., & Bilal, M. Localized electric and magnetic tangent loss via parity-time symmetry in induced high magneto-optical atomic medium. Journal of Magnetism and Magnetic Materials.

Ahmad, M., Khan, S.*, Shah, S. M. H., Salman, M., & Yousaf, M. (2025). Coherent manipulation of sensitivity of structure plasmon polariton waves. The European Physical Journal Plus.

Assist. Prof. Dr. Fayzullo Nazarov | Best Researcher Award

Assist. Prof. Dr. Fayzullo Nazarov | Best Researcher Award

Samarkand State University | Uzbekistan

Dr. Fayzullo Nazarov is a distinguished researcher at Sharof Rashidov Samarkand State University, Uzbekistan, recognized for his contributions to artificial intelligence, data science, and computational optimization. With an h-index of 10, 28 publications, and 217 citations across 94 documents, his research demonstrates significant scholarly impact and growing recognition in the field. Dr. Nazarov earned his advanced degrees in computer science and applied mathematics, where he developed a strong foundation in algorithmic modeling, neural networks, and machine learning applications. His academic and professional experience centers on the intelligent management of data systems, optimization of distribution mechanisms, and neural network ensemble methodologies. Dr. Nazarov’s recent works, including studies on effective distribution determination using neural network ensembles and machine learning-based data storage optimization, highlight his innovative approach to integrating AI with intelligent system design. He actively collaborates with international researchers to advance computational intelligence and smart data technologies. Throughout his career, Dr. Nazarov has received multiple academic recognitions for excellence in research and publication. His dedication to advancing AI-driven optimization techniques positions him as a leading researcher in intelligent systems and computational innovation, with ongoing contributions to the digital transformation of data management and predictive modeling.

Profiles : Google Scholar | Scopus

Featured Publications

khatov, A. R., Nazarov, F. M., & Rashidov, A. (2021). Mechanisms of information reliability in big data and blockchain technologies. In Proceedings of the 2021 International Conference on Information Science and Communications.

Akhatov, A. R., Nazarov, F. M., & Rashidov, A. (2021). Increasing data reliability by using big data parallelization mechanisms. In Proceedings of the 2021 International Conference on Information Science and Communications.

Rashidov, A., Akhatov, A., & Nazarov, F. (2023). The same size distribution of data based on unsupervised clustering algorithms. In The International Conference on Artificial Intelligence and Logistics.

Akhatov, A. R., Sabharwal, M., Nazarov, F. M., & Rashidov, A. (2022). Application of cryptographic methods to blockchain technology to increase data reliability. In 2nd International Conference on Advance Computing and Innovative Technologies in Engineering.

Dagur, A., Shukla, D. K., Makhmadiyarovich, N. F., & Rustamovich, A. A. (2024). Artificial intelligence and information technologies: Proceedings of the 1st International Conference on Artificial Intelligence and Information Technologies (ICAIIT 2023). CRC Press.