Dr. Muhammad Iqbal | Computational Methods | Research Excellence Award

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Dr. Muhammad Iqbal | Computational Methods | Research Excellence Award

Associate Professor | Bacha Khan University | Pakistan

Dr. Muhammad Iqbal is a distinguished researcher whose scholarly profile reflects sustained excellence in chemistry with strong integration of Computational Methods in advanced scientific inquiry. His work demonstrates authoritative use of Computational Methods to analyze molecular systems, interpret coordination chemistry behavior, and enhance predictive accuracy, where Computational Methods consistently guide hypothesis development, data interpretation, and validation. Through extensive peer reviewed publications indexed in SCI and Scopus, he has contributed impactful knowledge supported by rigorous Computational Methods that strengthen reproducibility and translational relevance. His research output shows meaningful citation influence and international visibility, while Computational Methods enable collaborative alignment with interdisciplinary researchers and institutional partners. By applying Computational Methods to complex chemical challenges, his contributions advance analytical efficiency, resource optimization, and knowledge driven innovation with tangible societal and scientific benefits. His academic service and research dissemination reflect a commitment to quality, integrity, and global standards, with Computational Methods remaining central to methodology, collaboration, and impact across his scholarly endeavors. Google Scholar profile of 380 Citations, 13 h-index, 13 i10 index.

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Featured Publications

Dr. Naeem Ullah | Fluid Dynamics | Research Excellence Award

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Dr. Naeem Ullah | Fluid Dynamics | Research Excellence Award

Research Associate | Yangzhou University | China

Dr. Naeem Ullah is a dedicated researcher with growing contributions in Fluid Dynamics, where his work reflects strong command in Computational Mathematics, numerical modeling, and complex fluid flow phenomena. His research primarily advances understanding within Fluid Dynamics, including thin film behavior, hybrid nanofluids, nonlinear kinematics, entropy optimization, heat and mass transfer, and numerical schemes applied to Newtonian and non-Newtonian flows. As an active scholar in Fluid Dynamics, he has authored numerous peer-reviewed articles in reputable international journals, addressing contemporary problems in porous media flows, thermal transport, radiative effects, and Machine-Learning-assisted simulation of physical systems. His work in Fluid Dynamics extends to investigations using neural networks, finite-volume computing, and advanced simulation techniques that improve predictive accuracy and enhance engineering applications. Dr. Naeem Ullah consistently collaborates with multidisciplinary researchers across various countries, enriching scientific progress through joint modeling of nanofluid systems and Fluid Dynamics-based thermal processes. His publication record shows steady expansion, demonstrating research depth in entropy-driven transport, convective flow modeling, and Fluid Dynamics mechanisms within geometric and asymmetric flow domains. As a reviewer for high-impact journals, he contributes to scholarly development in Applied Mathematics, Chemical Engineering, and Fluid Dynamics. His research has introduced significant insights regarding Darcy–Forchheimer media, Cattaneo–Christov heat flux, and boundary layer controls, strengthening global understanding of Fluid Dynamics. His academic contributions continue to support industrial, biomedical, energy, and environmental problem-solving through mathematical structure and computational representation of Fluid Dynamics. With a strong professional presence, Dr. Naeem Ullah remains engaged in expanding high-performance algorithms and analytical frameworks in Fluid Dynamics, bridging applied models with real-world heat-mass transfer behavior. His research impact continues to rise with sustained contribution to Fluid Dynamics, advancing predictive solutions, physical simulations, and numerical stability for advanced engineering systems. Google Scholar profile of 144 Citations, 7 h-index, 5 i10-index.

Profile: Google Scholar

Featured Publications

1. Khan, N. S., Shah, Q., Sohail, A., Ullah, Z., Kaewkhao, A., Kumam, P., & Zubair, S., et al. (2021). Rotating flow assessment of magnetized mixture fluid suspended with hybrid nanoparticles and chemical reactions of species. Scientific Reports, 11(1), 11277.

2. Khan, N. S., Usman, A. H., Sohail, A., Hussanan, A., Shah, Q., Ullah, N., & Kumam, P., et al. (2021). A framework for the magnetic dipole effect on the thixotropic nanofluid flow past a continuous curved stretched surface. Crystals, 11(6), 645.

3. Abidin, M. Z., Marwan, M., Ullah, N., & Mohamed Zidan, A. (2023). Well-posedness in variable-exponent function spaces for the three-dimensional micropolar fluid equations. Journal of Mathematics, 2023(1), 4083997.

4. Ibrahim, S., Marwat, D. N. K., Ullah, N., & Nisar, K. S. (2023). Investigation of fluid flow pattern in a 3D meandering tube. Frontiers in Materials, 10, 1187986.

5. Abidin, M. Z., Ullah, N., Hussain, A., Saadaoui, S., Mohamed, M. M. I., & Deifalla, A. (2023). Case study of entropy optimization with the flow of non-Newtonian nanofluid past converging conduit with slip mechanism: An application of geothermal engineering. Case Studies in Thermal Engineering, 52, 103764.

Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

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Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

Professor | Xi'an Jiaotong University | China

Prof. Dr. Jinju Sun is a distinguished scholar in the School of Energy and Power Engineering at Xi’an Jiaotong University, renowned for her pioneering contributions to fluid mechanics, turbomachinery, and multiphase flow systems through advanced Computational Methods. Her educational journey spans cryogenic engineering to a PhD in turbomachinery and engineering mechanics, which laid the foundation for her expertise in Computational Methods applied to turbomachinery optimization, Lattice Boltzmann modeling, and Vortex Method simulations. Throughout her professional career, she has served as a researcher, lecturer, and professor, advancing research through numerous national and international collaborations emphasizing Computational Methods in fluid dynamics and green energy system design. She has received prestigious honors, including the Donald Julius Groen Prize and the Arthur Charles Main Award from the Institution of Mechanical Engineers (UK), in recognition of her outstanding achievements utilizing Computational Methods for energy system modeling and flow optimization. Her research interests include cryogenic liquid turbines, compressor instabilities, and innovative Computational Methods for fluid-structure interaction and multiphase flow behavior. She has authored numerous high-impact publications and holds multiple international patents that demonstrate her excellence in Computational Methods-based innovation. Prof. Dr. Jinju Sun’s research skills encompass CFD modeling, LBM, topology optimization, and Computational Methods-driven analysis for turbomachinery and green energy systems. In conclusion, her dedication to advancing Computational Methods in engineering has positioned her as a global leader driving innovation, sustainability, and scientific excellence in modern energy and power engineering.

Profile: ORCID

Featured Publications

1. Qu, Y., Sun, J., Song, P., & Wang, J. (2025). Enhancing efficiency and economic viability in Rectisol system with cryogenic liquid expander. Asia-Pacific Journal of Chemical Engineering.

2. Ge, Y., Peng, J., Chen, F., Liu, L., Zhang, W., Liu, W., & Sun, J. (2023). Performance analysis of a novel small-scale radial turbine with adjustable nozzle for ocean thermal energy conversion. AIP Advances.

3. Fu, X., & Sun, J. (2023). Three-dimensional color-gradient lattice Boltzmann model for simulating droplet ringlike migration under an omnidirectional thermal gradient. International Journal of Thermal Sciences.

4. Song, P., Sun, J., Wang, S., & Wang, X. (2022). Multipoint design optimization of a radial-outflow turbine for Kalina cycle system considering flexible operating conditions and variable ammonia-water mass fraction. Energies.

5. Song, P., Wang, S., & Sun, J. (2022). Numerical investigation and performance enhancement by means of geometric sensitivity analysis and parametric tuning of a radial-outflow high-pressure oil–gas turbine. Energies.

Assoc. Prof. Dr. Osama Hussein Galal | Stochastic Fluid Dynamics | Excellence in Research

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Assoc. Prof. Dr. Osama Hussein Galal | Stochastic Fluid Dynamics | Excellence in Research

Associated Professor | Fayoum University | Egypt

Assoc. Prof. Dr. Osama Hussein Galal is a distinguished academic specializing in Stochastic Fluid Dynamics, whose professional journey reflects exceptional expertise in Engineering Mathematics and Physics. His academic and research trajectory demonstrates profound engagement with Stochastic Fluid Dynamics in analyzing uncertainty quantification, fractional-order systems, and fluid flow modeling. Over his extensive academic tenure, he has served as an educator, researcher, consultant, and supervisor, contributing significantly to Stochastic Fluid Dynamics applications in non-Newtonian fluid analysis, stochastic differential equations, and advanced computational mechanics. His professional experience extends to engineering consultancy and structural design, where he integrated Stochastic Fluid Dynamics methodologies for enhanced prediction accuracy in complex engineering systems. Assoc. Prof. Dr. Osama Hussein Galal has guided numerous postgraduate dissertations focusing on Stochastic Fluid Dynamics and uncertainty modeling in power systems, beam analysis, and transmission lines. His research interest revolves around integrating Stochastic Fluid Dynamics with machine learning, renewable energy modeling, and fractional calculus applications. Recognized for his scholarly contributions, he has received several awards for excellence in teaching, research supervision, and scientific publications. His research skills encompass analytical modeling, stochastic simulation, and the mathematical treatment of Stochastic Fluid Dynamics in engineering contexts, establishing him as a leading voice in the field. Through his numerous publications in reputed international journals, he has advanced global understanding of Stochastic Fluid Dynamics and its engineering implications. His career exemplifies the fusion of theoretical rigor and practical innovation, positioning him as a prominent figure in modern computational and stochastic analysis. Google Scholar profile of 102 Citations, 6 h-index, 5 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Hatata, A., Galal, O. H., Said, N., & Ahmed, D. (2021). Prediction of biogas production from anaerobic co-digestion of waste activated sludge and wheat straw using two-dimensional mathematical models and an artificial neural network. Renewable Energy, 178, 226–240.

2. Galal, O. H., El-Tahan, W., El-Tawil, M. A., & Mahmoud, A. A. (2008). Spectral SFEM analysis of structures with stochastic parameters under stochastic excitation. Structural Engineering and Mechanics: An International Journal, 28(3), 281–294.

3. Galal, O. H., El-Tawil, M. A., & Mahmoud, A. A. (2002). Stochastic beam equations under random dynamic loads. International Journal of Solids and Structures, 39(4), 1031–1040.

4. Galal, O. H. (2013). A proposed stochastic finite difference approach based on homogenous chaos expansion. Journal of Applied Mathematics, 2013(1), 950469.

5. El-Beltagy, M. A., Wafa, M. I., & Galal, O. H. (2012). Upwind finite-volume solution of Stochastic Burgers’ equation. Scientific Research Publishing.

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

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Dr. Liping Gong | Mechanical engineering | Best Researcher Award

Associate Research Fellow | University of Wollongong | Australia

Dr. Liping Gong is a distinguished researcher in the field of mechanical engineering, demonstrating exceptional expertise in advanced materials, vibration control, and energy harvesting systems. He earned his Doctor of Philosophy in mechanical engineering from the University of Wollongong, Australia, where his work received the Examiners’ Commendation for Outstanding Thesis. His academic foundation in mechanical engineering was strengthened by a Bachelor’s degree in Engineering Mechanics from Chang’an University, China. As a Postdoctoral Research Fellow, he has made significant strides in developing shear-stiffening phononic crystals through stereolithography for vibration and acoustic applications, alongside mentoring students in material characterization and finite element modeling—core skills in mechanical engineering research. His contributions span the design of magnetorheological elastomers, liquid metal-based nanogenerators, and intelligent materials for energy harvesting, reflecting innovation across various mechanical engineering domains. Dr. Gong’s research in mechanical engineering has been published in top-tier journals such as Advanced Materials, Nano Energy, and Smart Materials and Structures. His dedication has been recognized with the Best Oral Presentation Award at international mechanical engineering conferences. His research skills encompass experimental design, data analysis, material fabrication, and computational modeling—crucial aspects of mechanical engineering advancement. With deep involvement in reviewing for international journals, Dr. Gong continues to contribute to global mechanical engineering excellence. His professional journey highlights a commitment to innovation, interdisciplinary collaboration, and scientific impact within mechanical engineering.Google Scholar profile of 301 Citations, 7 h-index, 7 i10-index.

Profile: Google Scholar

Featured Publications

1. Wang, S., Gong, L., Shang, Z., Ding, L., Yin, G., Jiang, W., Gong, X., & Xuan, S. (2018). Novel safeguarding tactile e‐skins for monitoring human motion based on SST/PDMS–AgNW–PET hybrid structures. Advanced Functional Materials, 28(18), 1707538.

2. Zhang, Q., Lu, H., Yun, G., Gong, L., Chen, Z., Jin, S., Du, H., Jiang, Z., & Li, W. (2024). A laminated gravity‐driven liquid metal‐doped hydrogel of unparalleled toughness and conductivity. Advanced Functional Materials, 34(31), 2308113.

3. Wu, H., Gong, N., Yang, J., Gong, L., Li, W., & Sun, S. (2024). Investigation of a semi-active suspension system for high-speed trains based on magnetorheological isolator with negative stiffness characteristics. Mechanical Systems and Signal Processing, 208, 111085.

4. Gong, L., Xuan, T., Wang, S., Du, H., & Li, W. (2023). Liquid metal based triboelectric nanogenerator with excellent electrothermal and safeguarding performance towards intelligent plaster. Nano Energy, 109, 108280.

5. Jin, S., Yang, J., Sun, S., Deng, L., Chen, Z., Gong, L., Du, H., & Li, W. (2023). Magnetorheological elastomer base isolation in civil engineering: a review. Journal of Infrastructure Intelligence and Resilience, 2(2), 100039.

Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

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Mr. Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

Mr. Sathya Arumugam Thirumalai | Indian Institute of Technology Roorkee | India

Mr. Sathya Arumugam Thirumalai is a highly motivated researcher whose work integrates Computational Methods with experimental nanomaterial science, emphasizing sustainability, environmental protection, and advanced detection technologies. His academic journey, from IIT Roorkee to TU Dresden, reflects an enduring commitment to merging experimental nanotechnology with Computational Methods for the synthesis and characterization of perovskite, MXene, and 2D materials. Mr. Sathya’s professional experience spans renowned institutions like IISc Bengaluru, BARC Mumbai, and IIT Roorkee, where he utilized Computational Methods in density functional theory (DFT) simulations, material modeling, and radiation detector design. His research, grounded in Computational Methods, has contributed to multiple journal publications addressing gas sensing, field emission, and radiation detection. He applies Computational Methods to optimize nanomaterial performance, enhance photonic properties, and improve the efficiency of radiation detectors. Recognized with several awards and fellowships, including the National Talent Search Fellowship and the Saxon Student Mobility Grant, he has demonstrated excellence in both theoretical and practical domains. His technical mastery extends to Python, MATLAB, COMSOL, and VASP, emphasizing his strength in applying Computational Methods across interdisciplinary fields. Mr. Sathya’s skill in Computational Methods enables him to bridge theoretical simulations with experimental validation, ensuring scientific precision and innovation. His collaborative engagements with global research groups highlight his leadership and cross-disciplinary adaptability. In conclusion, Mr. Sathya exemplifies how Computational Methods can revolutionize material science, fostering technological advancements that align with sustainability and human welfare.

Profiles: Google Scholar | ORCID

Featured Publications

1. Sathya, A. T., Jethawa, U., Sarkar, S. G., & Chakraborty, B. (2025). Pd-decorated MoSi₂N₄ monolayer: Enhanced nitrobenzene sensing through DFT perspective. Journal of Molecular Liquids, 427, 127310.

2. Sathya, A. T., Kandasamy, M., & Chakraborty, B. (2024). Strain induced nitrobenzene sensing performance of MoSi₂N₄ monolayer: Investigation from density functional theory. Surfaces and Interfaces, 55, 105386.

3. Sanyal, G., Vaidyanathan, A., Sathya, A. T., & Chakraborty, B. (2025). Efficient catechol sensing in newly synthesized 2D material Ti₂B MBene: Insights from density functional theory simulations. Langmuir, 41(33), 22525–22534.

4. Sathya, A. T., Sarkar, S. G., Bakhtsingh, R. I., & Mondal, J. (2024). Suppression of shielding effect of large area field emitter cathode in radio frequency gun environment. Physica Scripta, 99(12), 125301.

Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

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Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

Leading Scientific Researcher | Institute for Applied Problemss of Mechanics and Mathematics | Ukraine

Prof. Viktor Mykhas’kiv is a distinguished researcher at the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine. His academic achievements include a Doctor of Science in Physics and Mathematics and a professorship in Mechanics of Deformable Solids. His extensive expertise in Computational Methods spans across Computational Mechanics, Materials Science, Structural Mechanics, and Multiscale Mathematical Modeling. Through his pioneering work, he has applied Computational Methods to study wave propagation, metamaterials, and nanomechanics, advancing knowledge in multiple scattering theory. His research leadership in international collaborations under INTAS, STCU, DAAD, DFG, and Fulbright programs highlights his ability to integrate Computational Methods within global scientific frameworks. As a team leader and project manager, he has promoted innovative Computational Methods in the investigation of elastic metamaterials and complex lattice structures. He has published widely, authoring over seventy-six Scopus-indexed papers, two books, and contributing to editorial boards of international journals like Mathematical Methods and Physicomechanical Fields. His commitment to excellence in Computational Methods is reflected in his role as a member of the European Structural Integrity Society. He has also served as a visiting researcher in the USA and Germany, applying Computational Methods to solve advanced mechanical and physical problems. His awards and honors recognize his groundbreaking use of Computational Methods in applied mechanics and theoretical modeling. With remarkable research skills and professional integrity, Prof. Viktor Mykhas’kiv continues to contribute significantly to global scientific progress. Scopus profile of 474 Citations, 76 Documents, 14 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Stankevych, V. Z., & Mykhas’kiv, V. V. (2023). Intensity of dynamic stresses of longitudinal shear in a periodically layered composite with penny-shaped cracks. Journal of Mathematical Sciences, 269(2), 268–280.

2. Mykhas’kiv, V. V., & Stasyuk, B. M. (2021). Effective elastic moduli of short-fiber composite with sliding contact conditions at interfaces. Mechanics of Composite Materials, 57(6), 845–854.

3. Mykhas’kiv, V., & Stankevych, V. (2019). Elastodynamic problem for a layered composite with penny-shaped crack under harmonic torsion. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 99(8), e201800193.

4. Mykhas’kiv, V. V., Zhbadynskyi, I. Y., & Zhang, C. (2019). On propagation of time-harmonic elastic waves through a double-periodic array of penny-shaped cracks. European Journal of Mechanics - A/Solids, 74, 68–77.

5. Zhbadynskyi, I. Y., & Mykhas’kiv, V. V. (2018). Acoustic filtering properties of 3D elastic metamaterials structured by crack-like inclusions. Proceedings of the International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 54–59.

Mr. Kalu Ram Sharma | Fluid Dynamics | Best Scholar Award

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Mr. Kalu Ram Sharma | Fluid Dynamics | Best Scholar Award

Research Scholar | University of Rajasthan | India

Mr. Kalu Ram Sharma is a dedicated scholar and educator in mathematics whose expertise strongly aligns with Fluid Dynamics, as reflected in his academic background, teaching experience, and impactful research. With advanced qualifications in mathematics, he has served as a lecturer at multiple institutions, demonstrating excellence in guiding undergraduate and postgraduate students, while his professional journey highlights a deep commitment to education and research. His primary research interests center on mathematical modeling, magnetohydrodynamics, and nonlinear flow problems, with a consistent focus on Fluid Dynamics, where he has published several notable works in reputed international journals and presented at esteemed conferences. Mr. Sharma’s achievements include clearing prestigious national eligibility and fellowship examinations with strong ranks, underscoring his academic caliber, and his awards and honors reflect recognition of his scholarly merit. His research skills extend to numerical analysis, spectral methods, and computational simulations, which have enhanced his ability to contribute significantly to the study of Fluid Dynamics. Throughout his journey, his continuous participation in workshops and conferences has enriched his perspective, while his perseverance and analytical acumen demonstrate his potential as a researcher. The integration of theory and application in his work on Fluid Dynamics highlights his vision to solve complex mathematical and physical challenges. In conclusion, Mr. Kalu Ram Sharma emerges as a highly motivated academic and researcher whose focus on Fluid Dynamics not only defines his career but also positions him as a valuable contributor to advancing knowledge in applied mathematics and related interdisciplinary domains.

Profile: ORCID

Featured Publications

1. Sharma, K. R., & Jain, S. (2025). Activation energy and radiation effects on MHD Walters-B nanofluid flow over a stretching surface: Spectral analysis. Thermal Advances, 100055.

2. Jain, S., & Sharma, K. R. (2025). Numerical analysis of MHD Casson fluid with non-linear mixed and bio-convection over a non-linear vertical stretching sheet, considering multiple slip and suction/injection effects. Thermal Advances, 100034.

3. Sharma, K. R., & Jain, S. (2025). Study of mixed radiative MHD Cross nanofluid flow over a stretching/contracting sheet in porous medium using Arrhenius activation energy, Newtonian heating and Joule Heating. Thermal Advances, 100021.

4. Sharma, K. R., & Jain, S. (2024). An unsteady MHD Williamson fluid flow in a vertical porous channel with porous media and thermal radiation. International Journal of Advances in Engineering Sciences and Applied Mathematics.

5. Sharma, K. R., & Jain, S. (2024). A numerical study of MHD nonlinear mixed convection flow over a nonlinear vertical stretching sheet with the buoyancy and suction/injection effects. Numerical Heat Transfer, Part B: Fundamentals.

Dr. Tanya Gupta | Computational Fluid Dynamics | Women Researcher Award

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Dr. Tanya Gupta | Computational Fluid Dynamics | Women Researcher Award

Assistant Professor | GLA University | India

Dr. Tanya Gupta is an accomplished academic in Mathematics with expertise in Computational Fluid Dynamics, where her research has extensively focused on heat and mass transfer, hybrid nanofluids, and numerical simulation techniques. She holds a Ph.D. in Mathematics from G.B. Pant University of Agriculture and Technology with her thesis centered on Computational Fluid Dynamics applications, following a master’s and bachelor’s degree in Mathematics from Kumaun University. Professionally, she has served as a Teaching Assistant at G.B. Pant University and currently works as an Assistant Professor at GLA University, Mathura, where she actively teaches Engineering Mathematics, Applied Mathematics, Engineering Calculus, Linear Algebra, and Differential Equations, integrating Computational Fluid Dynamics concepts in her academic approach. Her research interests strongly revolve around Computational Fluid Dynamics, supported by publications in reputed SCI journals, book chapters, and participation in international and national conferences. She has secured prestigious achievements such as CSIR NET JRF, GATE qualification, and the INSPIRE Fellowship, highlighting her academic excellence. Dr. Tanya Gupta has demonstrated research skills in advanced mathematical modeling, Legendre wavelet collocation techniques, nanofluid dynamics, and Computational Fluid Dynamics simulations. She is also actively engaged in professional societies, workshops, and international collaborations enhancing Computational Fluid Dynamics studies. Recognized with several honors, she also contributes administratively at GLA University in examination management, departmental branding, and academic advising. In conclusion, Dr. Tanya Gupta is a dedicated researcher and educator whose career is strongly shaped by her contributions in Computational Fluid Dynamics, making her a significant asset to her institution and the broader scientific community, with Computational Fluid Dynamics serving as the core foundation of her academic and professional identity. Her Google Scholar citations 135, h-index 6, i10-index 4, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Numerical study for temperature-dependent viscosity based unsteady flow of GP-MoS2/C2H6O2-H2O over a porous stretching sheet. Numerical Heat Transfer, Part A: Applications, 85(7), 1063–1084.

2. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Effect of Thompson and Troian slip on CNT-Fe3O4/kerosene oil hybrid nanofluid flow over an exponential stretching sheet with Reynolds viscosity model. Modern Physics Letters B, 38(02), 2350209.

3. Upreti, H., Pandey, A. K., Gupta, T., & Upadhyay, S. (2023). Exploring the nanoparticle's shape effect on boundary layer flow of hybrid nanofluid over a thin needle with quadratic Boussinesq approximation: Legendre wavelet approach. Journal of Thermal Analysis and Calorimetry, 148(22).

4. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Shape factor and temperature-dependent viscosity analysis for the unsteady flow of magnetic AlO–TiOCHO–HO using Legendre wavelet technique. Pramana, 98(2), 73.

5. Gupta, T., Kumar, M., Yaseen, M., & Rawat, S. K. (2025). Heat transfer of MHD flow of hybrid nanofluid (SWCNT-MWCNT/C3H8O2) over a permeable surface with Cattaneo–Christov model. Numerical Heat Transfer, Part B: Fundamentals, 86(3), 436–451.

Dr. Bahadir Kopcasiz | Computational Methods | Best Researcher Award

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Dr. Bahadir Kopcasiz | Computational Methods | Best Researcher Award

Assistant Professor | Istanbul Gelisim University | Turkey

Dr. Bahadir Kopcasiz is an accomplished academic whose expertise centers on Computational Methods, with strong emphasis on nonlinear partial differential equations, soliton theory, symbolic and semi-analytical analysis, and advanced mathematical modeling. He earned his Ph.D. in Mathematics from Bursa Uludag University, preceded by a Master’s in Mathematics from Yeditepe University and a Bachelor’s from Karadeniz Technical University, building a solid foundation for his contributions in Computational Methods. Currently serving as an Assistant Professor at Istanbul Gelisim University, he actively teaches courses such as Differential Equations, Statistics, Probability, and Numerical Analysis, integrating Computational Methods into both undergraduate and graduate programs. His research primarily focuses on soliton solutions in nonlinear Schrödinger-type systems, dynamical structures in quantum physics, and the development of innovative Computational Methods to study complex dynamical systems, with numerous publications in high-impact journals including Archives of Computational Methods in Engineering, Nonlinear Dynamics, and Symmetry. He has also presented extensively at international conferences, showcasing advancements in Computational Methods for applied physics and engineering. Among his recognitions, he received the Best Researcher Award at the International Research Awards on Composite Materials and academic incentive awards from Istanbul Gelisim University, which highlight his outstanding scholarly contributions in Computational Methods. His research skills are distinguished by mastery of symbolic computation, semi-analytical modeling, and integration of Computational Methods with machine learning for dynamic system optimization, as evidenced by his involvement in national projects. In conclusion, Dr. Bahadir Kopcasiz exemplifies excellence in academia through his dedication to advancing Computational Methods, innovative problem-solving, impactful publications, and mentorship, establishing himself as a valuable contributor to mathematics, physics, and engineering research. His Google Scholar citations 337, h-index 12, i10-index 14, showcasing measurable research impact.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kopçasız, B., & Yaşar, E. (2022). The investigation of unique optical soliton solutions for dual-mode nonlinear Schrödinger’s equation with new mechanisms. Journal of Optics, 1–15.

2. Kopçasız, B., & Yaşar, E. (2022). Novel exact solutions and bifurcation analysis to dual-mode nonlinear Schrödinger equation. Journal of Ocean Engineering and Science.

3. Kopçasız, B., & Yaşar, E. (2024). Dual-mode nonlinear Schrödinger equation (DMNLSE): Lie group analysis, group invariant solutions, and conservation laws. International Journal of Modern Physics B, 38(02), 2450020.

4. Kopçasız, B. (2024). Qualitative analysis and optical soliton solutions galore: Scrutinizing the (2+1)-dimensional complex modified Korteweg–de Vries system. Nonlinear Dynamics, 112(23), 21321–21341.

5. Kopçasız, B., Seadawy, A. R., & Yaşar, E. (2022). Highly dispersive optical soliton molecules to dual-mode nonlinear Schrödinger wave equation in cubic law media. Optical and Quantum Electronics, 54(3), 194.