Dr. Meharu Fentahun Endalew | Best Researcher Award

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Dr. Meharu Fentahun Endalew | Best Researcher Award

Beijing Institute of Mathematical Sciences and Applications (BIMSA) | China

Mehari Fentahun Endalew is a researcher affiliated with Debre Tabor University, Ethiopia, and the Beijing Institute of Mathematical Sciences and Applications (BIMSA), with a verified institutional email at dtu.edu.et. His academic background and professional experience are centered on applied mathematics and mathematical modeling, with a strong emphasis on fluid mechanics. His research focuses on hydromagnetic (MHD) flows, Casson and second-grade fluids, nanofluids, porous media, heat and mass transfer, dual-phase-lag heat transfer models, fractional calculus, and convection phenomena. Endalew has authored 19 peer-reviewed documents that have received 237 citations across 149 citing documents, resulting in an h-index of 9. His scholarly output includes publications in journals such as Boundary Value Problems, Heat Transfer,Asian Research, Scientific Reports, International Journal of Fluid Mechanics Research, Journal of Applied and Computational Mechanics, Engineering Reports, Fractal and Fractional, and Partial Differential Equations in Applied Mathematics. His work demonstrates sustained contributions to analytical, numerical, and temporal analyses of complex transport phenomena, including melting heat transfer, radiative effects, magnetic field inclination, chemical reactions, and slip conditions in porous and microchannel flows. Through interdisciplinary mathematical modeling, he continues to advance the theoretical understanding of fluid flow and heat and mass transfer processes.

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Featured Publications

Dr. Mubbashar Nazeer | Editorial Board Member

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Dr. Mubbashar Nazeer | Editorial Board Member

Government College University Faisalabad | Pakistan

Dr. Mubbashar Nazeer is a prominent researcher in applied mathematics, specializing in fluid mechanics, bio-fluids, nanofluid dynamics, heat transfer, cavity flows, and finite element analysis. With an h-index of 23, over 90+ documents, and more than 1,800 citations, his research has made significant contributions to nonlinear rheology, multiphase flow modeling, magnetohydrodynamics, and thermal transport in complex fluids. His academic journey includes advanced training in applied mathematics and computational fluid dynamics, followed by extensive experience in numerical modeling, perturbation methods, and simulation-based analysis of non-Newtonian fluid flows. Dr. Nazeer’s research consistently addresses real-world engineering and physiological flow problems, emphasizing novel rheological models such as Eyring–Powell, Casson, Rabinowitsch, Ellis, Jeffrey, and Maxwell fluids. He has collaborated widely across international research groups and published influential work in high-impact journals such as International Communications in Heat and Mass Transfer, Case Studies in Thermal Engineering, Surfaces and Interfaces, and Numerical Methods for Partial Differential Equations. His contributions have earned recognition within the fluid mechanics community, including acknowledgments for outstanding research productivity and high-impact publications. Overall, Dr. Nazeer remains committed to advancing computational modeling and thermal–fluid sciences through innovative problem-solving and interdisciplinary collaboration.

Profile : Google Scholar

Featured Publications

Nayak, M. K., Shaw, S., Khan, M. I., Pandey, V. S., & Nazeer, M. (2020). Flow and thermal analysis on Darcy–Forchheimer flow of copper–water nanofluid due to a rotating disk: A static and dynamic approach. Journal of Materials Research and Technology, 9(4), 7387–7408.

Chu, Y. M., Nazeer, M., Khan, M. I., Hussain, F., Rafi, H., Qayyum, S., & Abdelmalek, Z. (2021). Combined impacts of heat source/sink, radiative heat flux, temperature-dependent thermal conductivity on forced convective Rabinowitsch fluid. International Communications in Heat and Mass Transfer, 120, 105011.

Nazeer, M., Khan, M. I., Rafiq, M. U., & Khan, N. B. (2020). Numerical and scale analysis of Eyring–Powell nanofluid towards a magnetized stretched Riga surface with entropy generation and internal resistance. International Communications in Heat and Mass Transfer, 119, 104968.

Nazir, M. W., Javed, T., Ali, N., & Nazeer, M. (2021). Effects of radiative heat flux and heat generation on magnetohydrodynamics natural convection flow of nanofluid inside a porous triangular cavity. Numerical Methods for Partial Differential Equations.

Dr. Muhammad Bilal | Editorial Board Member

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Dr. Muhammad Bilal | Editorial Board Member

Shanghai University | China

Dr. Muhammad Bilal is an applied mathematics researcher at Shanghai University whose work focuses on nonlinear wave theory, optical solitons, plasma physics, and computational methods for complex dynamical systems. With a strong publication record comprising over 40 documents, more than 1,900 citations, and an h-index of 23, he has established himself as a significant contributor to mathematical physics and nonlinear wave propagation. He completed his advanced education in applied and computational mathematics and has accumulated extensive research experience through collaborative projects in wave dynamics, optical fiber modeling, modulation instability, and analytical methods for nonlinear differential equations. His research interests span nonlinear Schrödinger systems, shallow water wave models, ferromagnetic materials, fractional models, and stability analysis across diverse physical systems. Dr. Bilal has contributed widely cited analytical techniques and exact solution frameworks that have enhanced theoretical understanding and computational modeling in optical communication and fluid dynamics. His work has appeared in reputable international journals such as Mathematical Methods in the Applied Sciences, Results in Physics, Optical and Quantum Electronics, Modern Physics Letters B, and IEEE Access. He has also been recognized for his scientific impact through multiple high-quality publications and his growing influence in applied mathematics research.

Profile : Google Scholar

Featured Publications

Bilal, M. A., Zeeshan, M., Riaz, Q., Shahzad, M. K., Jabeen, H., & Haider, S. A., et al. (2021). Protocol-based deep intrusion detection for DoS and DDoS attacks using UNSW-NB15 and Bot-IoT datasets. IEEE Access, 10, 2269–2283.

Bilal, M., Seadawy, A. R., Younis, M., Rizvi, S. T. R., & Zahed, H. (2021). Dispersive propagation wave solutions to unidirectional shallow water wave Dullin–Gottwald–Holm system and modulation instability analysis. Mathematical Methods in the Applied Sciences, 44(5), 4094–4104.

Bilal, M., Seadawy, A. R., Younis, M., Rizvi, S. T. R., El-Rashidy, K., & Mahmoud, S. F. (2021). Analytical wave structures in plasma physics modelled by the Gilson-Pickering equation using two integration norms. Results in Physics, 23, 103959.

Younis, M., Sulaiman, T. A., Bilal, M., Rehman, S. U., & Younas, U. (2020). Modulation instability analysis and optical solutions to the modified nonlinear Schrödinger equation. Communications in Theoretical Physics, 72(6), 065001.

Younis, M., Younas, U., Rehman, S. U., Bilal, M., & Waheed, A. (2017). Optical bright–dark and Gaussian soliton with third-order dispersion. Optik, 134, 233–238.

Dr. Michael Mercier | Best Researcher Award

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Dr. Michael Mercier | Best Researcher Award

University of Corsica | France

Dr. Michaël Mercier-Finidori is a French physicist and lecturer at the University of Corsica Pascal Paoli (UMR CNRS 6134 SPE), renowned for his contributions to the fields of underwater acoustics, ultrasound, group theory, and mathematical physics. He obtained his Ph.D. in Sciences pour l’Environnement from UMR CNRS 6134 SPE in 2002, where he developed a strong foundation in acoustic wave propagation and elastic scattering. Since joining the University of Corsica in 2003, Dr. Mercier-Finidori has actively engaged in both teaching and advanced research, focusing on acoustic scattering phenomena in elliptical geometries and elastic shells. His scholarly output includes six peer-reviewed publications that have collectively garnered 12 citations from 10 documents, with an h-index of 3, reflecting his impactful and specialized work. His recent open-access article, Acoustic scattering by elliptical elastic shells: Exact formalism and physical interpretation (Journal of Sound and Vibration, 2025), exemplifies his analytical rigor and innovative approach to acoustic modeling. Dr. Mercier-Finidori’s research provides valuable insights for applications in sonar technology, materials characterization, and acoustic signal analysis. His sustained academic commitment and theoretical depth underscore his influence in advancing the understanding of elastic wave dynamics in complex geometries.

Profiles : Orcid | Scopus

Featured Publications

Ancey, S., Gabrielli, P., & Mercier, M. (2025). Acoustic scattering by elliptical elastic shells: Exact formalism and physical interpretation. Journal of Sound and Vibration, 619, 119341. https://doi.org/10.1016/j.jsv.2025.119341

Ancey, S., Bazzali, E., Gabrielli, P., & Mercier, M. (2014). Acoustic scattering by elastic cylinders of elliptical cross-section and splitting up of resonances. Journal of Applied Physics, 115(19), 194901. https://doi.org/10.1063/1.4876678

Bazzali, E., Ancey, S., Gabrielli, P., & Mercier-Finidori, M. (2013). Splitting up resonances of elastic elliptical disc. Proceedings of Meetings on Acoustics, 19(1), 045002. https://doi.org/10.1121/1.4799566

Ancey, S., Bazzali, E., Gabrielli, P., & Mercier, M. (2013). Elastodynamics and resonances in elliptical geometry. Journal of Physics A: Mathematical and Theoretical, 46(43), 435204. https://doi.org/10.1088/1751-8113/46/43/435204

Gabrielli, P., & Mercier-Finidori, M. (2002). Multiple scattering by two impenetrable cylinders: Semiclassical theory. Physical Review E, 66(4), 046629. https://doi.org/10.1103/PhysRevE.66.046629

Dr. Ahmed Zahia | Best Researcher Award

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Dr. Ahmed Zahia | Best Researcher Award

Benha University | Egypt

Dr. Ahmed Zahia is an Assistant Lecturer in the Department of Mathematics at Benha University, Egypt. He earned his Bachelor of Science in Mathematics from Benha University in 2020 and has been actively engaged in teaching and research since 2020. His research lies at the intersection of applied mathematics and quantum physics, focusing on quantum information, quantum correlations, quantum mechanics, and dynamical systems. With a growing reputation in theoretical and computational quantum studies, Zahia has authored nine research papers in internationally recognized journals such as Scientific Reports, Journal of Physics A, Physica Scripta, Optical and Quantum Electronics, EPJ Quantum Technology, and Thermal Science. His work explores topics including entanglement dynamics, quantum steering, quantum batteries, and information scrambling in multi-qubit and multi-mode systems. His publications have collectively received 27 citations from 20 documents, reflecting an h-index of 3. Zahia is also passionate about science communication, running a YouTube channel dedicated to teaching mathematics. Through his contributions, he continues to advance understanding of quantum information processing and the interplay between entanglement, coherence, and energy transfer in quantum systems, marking him as a promising emerging researcher in applied and theoretical quantum mechanics.

Profiles : Orcid | Google Scholar | Scopus

Featured Publications

Zahia, A. A., Khalil, E., & Al-Awfi, S. (2025). Entanglement and steering of three-mode field in trio coherent states. International Journal of Theoretical Physics, 64(9), 226. https://doi.org/10.1007/s10773-025-06072-9

Zahia, A. A. (2025). Optimizing quantum battery performance: A comparative study of parallel and series charging protocols. Physica Scripta, 100(8), 085501. https://doi.org/10.1088/1402-4896/adee67

Zahia, A. A., Saad, H. M., Ali, S. I., Ahmed, M. M. A., & Obada, A.-S. F. (2025). Quantum information metrics of a multi-level atom interacting with an SU(1,1) quantum amplifier system. EPJ Quantum Technology, 12(1), 90. https://doi.org/10.1140/epjqt/s40507-025-00394-7

Abd-Rabbou, M. Y., Zahia, A. A., Rahman, A. U., & Qiao, C. F. (2025). The limits of quantum information scrambling. Journal of Physics A: Mathematical and Theoretical, 58(25), 255301. https://doi.org/10.1088/1751-8121/ade1b9

Zahia, A. A., Abd-Rabbou, M. Y., & Megahed, A. M. (2025). Entanglement-driven energy exchange in a two-qubit quantum battery. Journal of Physics B: Atomic, Molecular and Optical Physics, 58(6), 065501. https://doi.org/10.1088/1361-6455/adbc56

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

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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.

Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Best Researcher Award

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Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Best Researcher Award

Anurag University | India

Dr. Shravan Kumar Rudrabhatla is an Assistant Professor at Anurag University, Hyderabad, specializing in fluid dynamics and artificial neural networks. He earned his Ph.D. in Applied Mathematics from the National Institute of Technology (NIT), Warangal in 2023 under the supervision of Prof. D. Srinivasacharya, focusing on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His research integrates deep learning, computational fluid dynamics, and heat and mass transfer modeling, contributing to the understanding of complex non-Newtonian flows. Dr. Rudrabhatla has authored 6 research articles, accumulated 49 citations from 43 documents, and achieved an h-index of 4, as indexed by Scopus. His recent works include publications in European Journal of Mechanics B/Fluids, Physics of Fluids, Mathematical Models and Computer Simulations, and Journal of Thermal Analysis and Calorimetry. He has participated in numerous faculty development programs, workshops, and GIAN courses focused on machine learning and computational modeling. His academic journey is complemented by strong technical skills in Python, MATLAB, and C++, and a teaching background spanning over a decade. Dr. Rudrabhatla’s work continues to advance the intersection of mathematics, fluid mechanics, and artificial intelligence, contributing significantly to modern computational sciences.

Profiles : Orcid | Google Scholar | Scopus

Featured Publications

Srinivasacharya, D., & Kumar, R. S. (2022). Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. Journal of Thermal Analysis and Calorimetry, 147, 14891–14903. https://doi.org/10.1007/s10973-022-11694-w

Srinivasacharya, D., & Shravan Kumar, R. (2023). Neural network analysis for bioconvection flow of Casson fluid over a vertically extending sheet. International Journal of Applied and Computational Mathematics, 9(5), 80. https://doi.org/10.1007/s40819-023-01556-w

Srinivasacharya, D., & Kumar, R. S. (2023). An artificial neural network solution for the Casson fluid flow past a radially stretching sheet with magnetic and radiation effect. Mathematical Models and Computer Simulations, 15(5), 944–955. https://doi.org/10.1134/S2070048223050101

Nallapu, S., Sneha, G. S., & Kumar, S. R. (2018). Effect of slip on Jeffrey fluid flow through an inclination tube. Journal of Physics: Conference Series, 1000(1), 012041. https://doi.org/10.1088/1742-6596/1000/1/012041

Rudrabhatla, S. K., & Srinivasacharya, D. (2025). Deep learning framework for Casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation. European Journal of Mechanics – B/Fluids, 204401. https://doi.org/10.1016/j.euromechflu.2025.204401

Prof. Dr. Davron Juraev | Best Researcher Award

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Prof. Dr. Davron Juraev | Best Researcher Award

University of Economics and Pedagogy | Uzbekistan

Dr. Davron Aslonqulovich Juraev is a distinguished mathematician and researcher currently serving as a Research Fellow at the Scientific Research Center of Baku Engineering University, Azerbaijan. With an academic career spanning over a decade, he has previously held positions as Head of the Department of Natural Science Disciplines at the Higher Military Aviation School of the Republic of Uzbekistan and Associate Professor of Mathematics at Karshi State University. Dr. Juraev has authored 52 scientific documents, which have collectively received 449 citations and an h-index of 15, reflecting his growing international impact. His primary research interests encompass mathematical physics, partial differential equations, ill-posed problems, Cauchy problems, and spectral theory, with particular contributions to matrix factorization methods for the Helmholtz equation and inverse spectral problems. He has also explored fractal calculus, heat transfer models, and blockchain-based mathematical modeling. Dr. Juraev’s extensive collaborations with scholars worldwide have led to numerous high-impact publications in journals such as Symmetry, Engineering Reports, and Journal of Electronic Materials. His academic achievements underscore a profound dedication to advancing mathematical modeling and applied analysis, making him a recognized figure in theoretical and computational mathematics.

Profiles : Google Scholar | Orcid | Scopus

Featured Publications

 Juraev, D. A., Feyruz Efendiev, R., & Abdullaev, O. K. (2025). On an approximate solution of the Cauchy problem for the Helmholtz equation. Research in Mathematics, 2025(12-31). https://doi.org/10.1080/27684830.2025.2545036

Jamilov, U. U., Khamraev, A. Y., Norov, A. Z., Juraev, D. A., Nurhidayat, I., & Shah, M. A. (2025). On the family of non-constrained Volterra cubic operators. Research in Mathematics, 2025(12-31). https://doi.org/10.1080/27684830.2025.2528285

 Abdullayev, J. S., Sapaev, I. B., Abdullayev, J. S., Juraev, D. A., Jalalov, M. J., & Elsayed, E. E. (2025). Mathematical modeling of incomplete ionization in radial p-Si/n-GaAs heterojunctions: Temperature and doping effects. Journal of Electronic Materials, 54(11). https://doi.org/10.1007/s11664-025-12391-8

Abbasov, Z. D., Juraev, D. A., Abdullaev, O. K., Nurhidayat, I., & Shah, M. A. (2025). Heat transfer in n-dimensional parallelepipeds under zero Dirichlet conditions. Engineering Reports, 7(10). https://doi.org/10.1002/eng2.70458

 Efendiev, R. F., Juraev, D. A., & Elsayed, E. E. (2025). PT-symmetric Dirac inverse spectral problem with discontinuity conditions on the whole axis. Symmetry, 17(10), 1603. https://doi.org/10.3390/sym17101603

Mr. Artem Savikovskii | Best Researcher Award

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Mr. Artem Savikovskii | Best Researcher Award

Peter the Great Saint-Petersburg Polytechnic University | Russia

Artem Victorovich Savikovskii is a Postdoctoral Research Engineer at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation. With an h-index of 2, 10 Scopus-indexed documents, and 23 citations from 15 sources, his growing academic influence reflects a strong foundation in computational and structural mechanics. Dr. Savikovskii earned his bachelor’s and master’s degrees in Applied Mechanics (2012–2018) from Peter the Great St. Petersburg Polytechnic University, where he also completed his Ph.D. studies in Applied Mathematics and Mechanics. His research primarily focuses on finite element modeling, fracture mechanics, computational elasticity, nonlinear analysis, and thermo-mechanical behavior of anisotropic materials. His recent publications, including in the International Journal of Engineering Science, address the mechanics of surface damage and crack interaction in anisotropic materials. He has also contributed to studies on thermal fatigue and stress intensity factors in materials with cubic symmetry. Throughout his career, Dr. Savikovskii has demonstrated exceptional skills in computational mechanics, advancing the understanding of material anisotropy and structural failure analysis. His work continues to contribute to modern applied mechanics and materials science, bridging theoretical modeling and practical engineering solutions.

Profiles : Scopus | Research Gate | Orcid

Featured Publications

Savikovskii, A. V., Semenov, A. S., & Kachanov, M. L. (2024). Influence of material anisotropy on the mechanics of surface damage. International Journal of Engineering Science, 199, 104025. https://doi.org/10.1016/j.ijengsci.2024.104025

Savikovskii, A. V., Gordeev, A. N., Michailov, A. A., Antonova, O. V., & Semenov, A. S. (2023). Numerical aspects of the J-integral estimation for thermomechanical loading. In Proceedings of the International Conference on Structural Integrity (pp. 203–214). Springer. https://doi.org/10.1007/978-3-031-37246-9_12

Savikovskii, A. V., & Semenov, A. S. (2023). Influence of material anisotropy on the interaction between cracks under tension and shear. Journal of Applied Mechanics and Technical Physics, 64(10), 1452–1461.

Savikovskii, A. V. (2020). Crystallographic orientation, delay time, and mechanical constants influence on thermal fatigue strength of single-crystal nickel superalloys. Materials Physics and Mechanics, 44(1), 115–124. https://doi.org/10.18720/MPM.4412020_15

Savikovskii, A. V., Semenov, A. S., & Getsov, L. B. (2019). Coupled thermo-electro-mechanical modeling of thermal fatigue of single-crystal corset samples. Materials Physics and Mechanics, 42(3), 45–54. https://doi.org/10.18720/MPM.4232019_5

Savikovskii, A. V., Semenov, A. S., & Getsov, L. (2018). Analysis of crystallographic orientation influence on thermal fatigue with delay of the single-crystal corset sample by means of thermo-elasto-visco-plastic finite-element modeling. MATEC Web of Conferences, 245, 10006. https://doi.org/10.1051/matecconf/201824510006