Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

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Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

Lecturer | School of Engineering and Built Environment, University of Greater Manchester | United Kingdom

Dr. Jaimon Dennis Quadros is a distinguished researcher recognized for advanced contributions in Computational Methods applied to mechanical engineering and fluid sciences. His expertise centers on Computational Methods for fluid dynamics, heat transfer, multiphase flows, and intelligent optimization, with strong emphasis on Computational Methods integrated with artificial intelligence, neural networks, and machine learning. Dr. Jaimon Dennis Quadros has produced an extensive body of scholarly work, authoring more than seventy peer reviewed publications that highlight the effectiveness of Computational Methods in predicting complex physical phenomena. His research demonstrates how Computational Methods enhance accuracy, efficiency, and reliability in engineering analysis and design. Through international academic and industry collaborations, he has successfully applied Computational Methods to aerospace, automotive, manufacturing, and thermal systems, supporting innovation and sustainable engineering solutions. His mentorship and leadership have strengthened research capacity and knowledge transfer across institutions. The societal impact of his work lies in advancing safer designs, improved energy efficiency, and data informed decision making through Computational Methods. Scopus profile of 198 Citations, 35 Documents, 8 h index.

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Assist. Prof. Dr. Dinesh Kumar Chaudhary | Physics | Research Excellence Award

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Assist. Prof. Dr. Dinesh Kumar Chaudhary | Physics | Research Excellence Award

Assistant Professor | Tribhuvan University | Nepal

Assist. Prof. Dr. Dinesh Kumar Chaudhary is an accomplished academic and researcher with strong expertise in Physics, actively contributing to experimental and applied Physics with emphasis on semiconductor Physics, materials Physics, sensor Physics, and nanostructured systems. His work in Physics integrates thin film Physics, gas sensing Physics, optical Physics, and electrical Physics, demonstrating consistent advancement of Physics driven solutions for real world applications. He has authored multiple peer reviewed publications in reputed journals, reflecting sustained impact in Physics research and interdisciplinary Physics collaboration with international scientists. His Physics contributions have supported advancements in sensing technologies, energy related Physics applications, and applied Physics methodologies relevant to industry and society. Through active collaboration, peer review service, and scholarly dissemination, he strengthens the global Physics community and promotes responsible Physics research aligned with societal needs. His academic service and research engagement highlight a commitment to high quality Physics education, innovation in Physics experimentation, and knowledge transfer through Physics based solutions that support technological and environmental progress. Scopus profile of 277 Citations, 24 Documents, 11 h index.

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Sensing Performance of a ZnO-based Ammonia Sensor

Journal of Physical Science, 2022
Cited by 40

Dr. Boris Wembe | Numerical Analysis | Research Excellence Award

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Dr. Boris Wembe | Numerical Analysis | Research Excellence Award

Postdoctoral Researcher | Paderborn University | Germany

Dr. Boris Wembe is a distinguished applied mathematician whose research profile reflects strong international recognition in Numerical Analysis and advanced optimal control. His scholarly contributions emphasize Numerical Analysis in structure preserving algorithms, quantum control, geometric control, and partial differential equation constrained optimization, where Numerical Analysis plays a central methodological role. Through rigorous Numerical Analysis, he has developed efficient numerical schemes, high order integrators, and robust computational frameworks addressing complex control systems. His publication record includes peer reviewed articles in reputable international journals, demonstrating the sustained impact of Numerical Analysis on theoretical development and real world modeling. Active collaborations with researchers across europe and africa highlight his commitment to globally connected Numerical Analysis research. Beyond publications, his work supports scientific capacity building, mentoring, and outreach, reinforcing the societal relevance of Numerical Analysis in education, navigation, quantum technologies, and engineering applications. His research outcomes contribute to reliable simulations, decision making tools, and innovation driven by Numerical Analysis across interdisciplinary domains. Google Scholar profile of 51 Citations, 4 h index, 1 i10 index

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Featured Publications


A Zermelo navigation problem with a vortex singularity

ESAIM: Control, Optimisation and Calculus of Variations, 2021
Cited by 17


Singular versus boundary arcs for aircraft trajectory optimization in climbing phase

ESAIM: Mathematical Modelling and Numerical Analysis, 2023
Cited by 5


Minimum energy control of passive tracers advection in point vortices flow

APCA International Conference on Automatic Control and Soft Computing, 2020
Cited by 4

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. 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.

Dr. Suliman Khan | Numerical Analysis | Best Researcher Award

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Dr. Suliman Khan | Numerical Analysis | Best Researcher Award

Postdoctoral Fellow at Nanjing University of Aeronautics and Astronautics | China

Numerical Analysis defines the foundation of Dr. Suliman Khan’s academic journey. His summary reflects a deep commitment to exploring the complexities of Numerical Analysis in both theoretical and applied domains. With a focus on highly oscillatory problems and physics-informed models, he uses Numerical Analysis as a tool to solve challenging equations. He integrates Numerical Analysis with machine learning, structural mechanics, and PDEs modeling, creating innovative solutions to real-world problems. His vision aligns Numerical Analysis research with education, fostering critical thinking and inspiring future mathematicians. This summary illustrates how Numerical Analysis serves as the bridge between computational advancements and practical applications, enabling continuous growth in modern scientific computing, engineering collaborations, and advanced mathematical problem-solving.

Professional Profiles 

Google Scholar Profile | ORCID Profile

Education 

Dr. Suliman Khan’s education centers around mastering the field of Numerical Analysis through rigorous training and research. His academic progression reflects a sustained focus on Numerical Analysis in applied mathematics, computational mathematics, and scientific computing. He pursued advanced degrees emphasizing Numerical Analysis and integral equations with oscillatory kernels, deepening his expertise in solving complex integrals. His thesis projects and research topics demonstrate advanced Numerical Analysis techniques, bridging oscillatory integral computation with practical boundary element methods. This education path builds the analytical foundation necessary for solving PDEs, developing innovative algorithms, and contributing to global Numerical Analysis research communities. By integrating theoretical understanding with computational practice, his academic training stands as a model for excellence in Numerical Analysis education.

Experience 

Dr. Suliman Khan’s professional experience reflects an application-driven approach to Numerical Analysis across international academic and research environments. Through postdoctoral fellowships, he enhanced Numerical Analysis techniques for aerospace structures and advanced computational modeling. He engaged in teaching roles, conveying Numerical Analysis principles to undergraduate and postgraduate students, guiding them in applying Numerical Analysis methods to solve mathematical and engineering problems. His responsibilities included supervising projects, delivering specialized lectures, and contributing to research teams developing Numerical Analysis-based simulations. This combination of teaching, research, and collaboration allowed him to evolve Numerical Analysis applications in boundary integral equations, structural mechanics, and scientific computing. His professional journey continues to strengthen global connections while advancing Numerical Analysis research and its innovative applications.

Research Interest 

Dr. Suliman Khan’s research interest revolves around extending the frontiers of Numerical Analysis to address modern mathematical and engineering challenges. His primary focus includes highly oscillatory problems, integral equations, and PDE modeling through Numerical Analysis techniques. He investigates physics-informed neural networks (PINNs), using Numerical Analysis to integrate computational intelligence with differential equations. His interests span radial basis functions, structural mechanics modeling, and Euler-Bernoulli and Timoshenko beam simulations, all rooted in Numerical Analysis frameworks. He explores computational strategies that combine theoretical precision with practical scalability, ensuring Numerical Analysis remains a driving force in scientific discovery. These research directions ensure Numerical Analysis serves not only academic curiosity but also industry-relevant innovation, bridging mathematical rigor with real-world applications.

Award and Honor

Recognition of Dr. Suliman Khan’s contributions to Numerical Analysis is reflected in various awards and honors. He received prestigious scholarships and appreciation certificates acknowledging his dedication to Numerical Analysis research and teaching. His leadership roles in academic networks highlight his commitment to promoting Numerical Analysis as an essential discipline within mathematics and engineering. His efforts to integrate Numerical Analysis into computational science have earned respect among peers globally. Through continuous involvement in high-impact projects, he represents a model of professional integrity and scholarly excellence. These honors validate his vision of advancing Numerical Analysis beyond theoretical studies, contributing significantly to applied mathematics, computational modeling, and collaborative problem-solving in multidisciplinary scientific environments.

Research Skill

Dr. Suliman Khan demonstrates advanced research skills in Numerical Analysis, combining theoretical insights with computational innovation. He develops efficient algorithms for highly oscillatory integrals, applying Numerical Analysis methods to solve integral equations and boundary element problems. His skills extend to machine learning integration, where Numerical Analysis underpins physics-informed neural networks for solving PDEs. He is proficient in mathematical programming languages, simulation environments, and model validation frameworks that rely on Numerical Analysis accuracy. He applies rigorous error analysis, stability checks, and convergence testing, ensuring Numerical Analysis results meet scientific standards. These skills collectively enable groundbreaking contributions to both mathematics and engineering, proving how Numerical Analysis serves as a foundation for modern computational problem-solving.

Publication Top Notes 

Title: Comparative study on heat transfer and friction drag in the flow of various hybrid nanofluids effected by aligned magnetic field and nonlinear radiation
Year: 2021
Citation: 82

Title: Entropy generation approach with heat and mass transfer in magnetohydrodynamic stagnation point flow of a tangent hyperbolic nanofluid
Year: 2021
Citation: 69

Title: Identifying the potentials for charge transport layers free np homojunction-based perovskite solar cells
Year: 2022
Citation: 24

Title: Antisolvent-fumigated grain growth of active layer for efficient perovskite solar cells
Year: 2021
Citation: 22

Title: A well-conditioned and efficient Levin method for highly oscillatory integrals with compactly supported radial basis functions
Year: 2021
Citation: 20

Title: Approximation of Cauchy-type singular integrals with high frequency Fourier kernel
Year: 2021
Citation: 19

Title: On the evaluation of highly oscillatory integrals with high frequency
Year: 2020
Citation: 15

Title: A dual interpolation boundary face method with Hermite-type approximation for elasticity problems
Year: 2020
Citation: 13

Title: An Accurate Computation of Highly Oscillatory Integrals with Critical Points
Year: 2018
Citation: 11

Title: A well-conditioned and efficient implementation of dual reciprocity method for Poisson equation
Year: 2021
Citation: 10

Title: Approximation of oscillatory Bessel integral transforms
Year: 2023
Citation: 9

Title: Numerical Investigation of the Fredholm Integral Equations with Oscillatory Kernels Based on Compactly Supported Radial Basis Functions
Year: 2022
Citation: 6

Title: Numerical approximation of Volterra integral equations with highly oscillatory kernels
Year: 2024
Citation: 5

Title: On the evaluation of Poisson equation with dual interpolation boundary face method
Year: 2021
Citation: 5

Title: A new implementation of DRM with dual interpolation boundary face method for Poisson equation
Year: 2020
Citation: 5

Title: Interpolation based formulation of the oscillatory finite Hilbert transforms
Year: 2022
Citation: 4

Title: On the Convergence Rate of Clenshaw–Curtis Quadrature for Jacobi Weight Applied to Functions with Algebraic Endpoint Singularities
Year: 2020
Citation: 4

Title: On Numerical Computation of Oscillatory Integrals and Integral Equations with Oscillatory Kernels
Year: 2021
Citation: 3

Title: A multiscale domain decomposition approach for parabolic equations using expanded mixed method
Year: 2022
Citation: 2

Title: On Computation of Bessel and Airy Oscillatory Integral Transforms
Year: 2025
Citation: 1

Conclusion

The academic and professional path of Dr. Suliman Khan underscores the transformative power of Numerical Analysis in modern science. His contributions demonstrate how Numerical Analysis enables theoretical breakthroughs and practical engineering solutions. Through teaching, research, and collaboration, he advances Numerical Analysis from abstract computation to actionable methodologies. His dedication ensures Numerical Analysis remains at the heart of applied mathematics, computational modeling, and machine learning integration. The conclusion of this narrative reflects his commitment to leveraging Numerical Analysis for global scientific progress. His vision inspires future mathematicians to embrace Numerical Analysis not just as a field of study but as a dynamic, problem-solving tool for advancing human knowledge.