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

Prof. Qingna Li | Mathematics | Research Excellence Award

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Prof. Qingna Li | Mathematics | Research Excellence Award

Professor | Beijing Institute of Technology | China

Prof. Qingna Li is widely recognized for her influential contributions to Mathematics, with her research consistently advancing the global understanding of optimization theory and computational methods within Mathematics. Her work integrates rigorous analytical frameworks in Mathematics with practical algorithmic design, resulting in high impact publications that strengthen interdisciplinary applications of Mathematics. She has produced an extensive body of research across leading international platforms, demonstrating strong visibility in Mathematics and sustained engagement with collaborative projects that rely heavily on mathematical modeling. Her expertise in Mathematics has supported innovative developments in optimization algorithms, numerical strategies, and data driven analytical tools that continue to influence scholars working across diverse areas connected to Mathematics. She has collaborated with multiple research groups and professional networks, further extending the societal relevance of Mathematics through contributions that support technology, engineering, and computational research communities. Her commitment to Mathematics is also reflected in her leadership within research teams and in mentoring emerging scholars who pursue advanced studies grounded in Mathematics. Her academic record highlights a strong publication profile and measurable research influence that underscores the growing global relevance of Mathematics in contemporary scientific inquiry. Google Scholar Profile Of Citations 492, h index 10, i10 index 11.

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Featured Publications


A class of derivative-free methods for large-scale nonlinear monotone equations

IMA Journal of Numerical Analysis, 2011 •
Cited by 193


A semismooth Newton method for support vector classification and regression

Computational Optimization and Applications, 2019 •
Cited by 33


An efficient augmented Lagrangian method for support vector machine

Optimization Methods and Software, 2020 •
Cited by 22

Dr. Muhammad Ahsan | Mathematics | Research Excellence Award

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Dr. Muhammad Ahsan | Mathematics | Research Excellence Award

Assistant Professor | University of Swabi | Pakistan

Dr. Muhammad Ahsan is a distinguished scholar in Mathematics, recognized for his influential contributions to applied Mathematics, computational Mathematics, and numerical methods. His research spans high-order wavelet collocation techniques, multi-resolution algorithms, and advanced modeling approaches that address complex challenges in science and engineering through the rigorous application of Mathematics. As an active researcher in the global Mathematics community, he has authored more than thirty peer-reviewed publications in leading international journals, demonstrating consistent excellence in theoretical and computational Mathematics. Dr. Muhammad Ahsan has built a strong reputation for advancing innovative  methodologies in Mathematics, particularly in the areas of differential equations, inverse problems, nonlinear systems, and wavelet-based numerical frameworks. His collaborative work with researchers from multiple countries reflects his commitment to expanding the frontiers of Mathematics through interdisciplinary engagement. His impactful publications, extensive citation record, and sustained research productivity underscore the importance of his contributions to applied Mathematics and strengthen the global relevance of his work. In addition to his research achievements, he has played a pivotal role in academic leadership, contributing to institutional development, departmental responsibilities, and scholarly review activities for numerous international journals in Mathematics. His mentorship of graduate and undergraduate students further reflects his dedication to nurturing the next generation of professionals in Mathematics. Through his continuous pursuit of high-quality research, dedication to international collaboration, and commitment to advancing Mathematics, Dr. Muhammad Ahsan exemplifies scholarly excellence and global academic impact. His work remains a valuable asset to the broader scientific community, reinforcing the essential role of Mathematics in addressing modern scientific and technological challenges. Scopus profile of 591 Citations, 37 Documents, 16 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. High-order wavelet-based numerical algorithms for nonlinear singular Lane–Emden–Fowler equations: Applications to physical models in astrophysics. (2026). Astronomy and Computing.

2. A high-order Haar wavelet approach to solve differential equations of fifth-order with simple, two-point and two-point integral conditions. (2026). Applied Numerical Mathematics.

3. Enhanced resolution in solving first-order nonlinear differential equations with integral condition: A high-order wavelet approach. (2025). European Physical Journal Special Topics.

Mehabaw Fikrie Yehuala |  Computaional Physics | Best Researcher Award

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Mr. Mehabaw Fikrie Yehuala |  Computaional Physics | Best Researcher Award

Chief Academic Technical Assistant | University of Gondar | Ethiopia

Mr. Mehabaw Fikrie Yehuala is an emerging researcher and academic professional specializing in Computational Physics, with an active role as Chief Academic Technical Assistant at the University of Gondar. His career reflects a deep commitment to advancing Computational Physics through theoretical modeling, simulation techniques, and practical implementation in modern physical systems. His research expertise centers on Computational Physics applications in material dynamics, phase separation, and simulation-based investigations, particularly focusing on systems involving complex mixtures and energy interactions. Through his scholarly journey, Mr. Mehabaw has demonstrated a rigorous approach to Computational Physics, integrating programming proficiency in Python, Fortran, and LaTeX with analytical frameworks to model and interpret physical phenomena. His publication in Separation Science and Technology stands as a key contribution to the scientific community, highlighting the relevance of Computational Physics in studying the phase separation of oil–water mixtures using Monte Carlo simulation methods. His collaborative research embodies an interdisciplinary essence, bridging experimental insights with the predictive strength of Computational Physics. Mr. Mehabaw’s professional engagement extends beyond research into educational innovation, where he has contributed significantly to the development of physics laboratory manuals and academic resource materials, further strengthening the pedagogical aspects of Computational Physics education. His recognition for academic excellence and active participation in institutional development underscores his leadership and dedication to the advancement of scientific knowledge. As an analytical thinker and a collaborative scientist, Mr. Mehabaw continues to explore new dimensions in Computational Physics, contributing to both academic and societal progress. His vision emphasizes fostering research-driven learning environments and leveraging Computational Physics methodologies to address real-world scientific and industrial challenges, marking him as a promising contributor to the global physics and research community.

Profile: ORCID

Featured Publication

1. Fikrie, M., Birhanu, T., Bassie, Y., Abebe, Y., & Temare, Y. (2025). Investigation of phase separation of mixture of oil and water in Monte Carlo simulation. Separation Science and Technology.

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.

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.

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.

Prof. Ahmed Ouadha | Computational Methods | Best Researcher Award

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Prof. Ahmed Ouadha | Computational Methods | Best Researcher Award

Prof at USTO-MB | Algeria

Prof. Ahmed Ouadha is a distinguished academic specializing in energy systems and marine engineering. His expertise covers thermodynamics, refrigeration, marine diesel engines, and exergy analysis with a strong integration of Computational Methods. His career reflects a commitment to advancing innovative Computational Methods for analyzing complex thermal and fluid systems. Through Computational Methods, he has contributed extensively to the optimization of marine propulsion and refrigeration cycles. Prof. Ouadha’s leadership in academic and industrial collaborations strengthens the practical application of Computational Methods in engineering research. He continues to explore new Computational Methods to address emerging challenges in sustainable energy systems, positioning himself at the forefront of technological advancement in marine and mechanical engineering fields globally.

Professional Profiles

Google Scholar Profile | ORCID Profile | Scopus Profile

Education 

Prof. Ahmed Ouadha obtained multiple degrees in energetic and marine engineering, providing a solid academic foundation for research and teaching. His educational journey focused on applying Computational Methods in thermodynamic systems, refrigeration cycles, and marine propulsion optimization. Advanced studies enabled him to integrate Computational Methods for exergy analysis, heat transfer modeling, and fluid mechanics simulations. The emphasis on Computational Methods throughout his education cultivated skills crucial for developing predictive models and enhancing system efficiency. His academic background demonstrates how Computational Methods can bridge theoretical analysis and industrial solutions. This comprehensive preparation established him as an expert capable of transforming Computational Methods into practical tools for innovative engineering applications.

Experience 

Prof. Ahmed Ouadha has held academic positions advancing from lecturer to full professor in marine engineering, consistently applying Computational Methods to teaching, research, and industrial consultancy. His professional experience emphasizes the strategic use of Computational Methods in optimizing marine diesel engines, refrigeration systems, and energy recovery solutions. He has supervised numerous research projects where Computational Methods guided experimental designs, data analysis, and system modeling. Industrial training and consulting engagements benefited from Computational Methods to diagnose and improve ship performance. His professional path illustrates how Computational Methods drive innovation across education, research, and practical engineering domains, reinforcing his reputation as a leader in applying Computational Methods effectively.

Research Interest 

Prof. Ahmed Ouadha’s research interests span thermodynamics, marine diesel engines, refrigeration, cryogenics, exergy analysis, and fluid dynamics, with Computational Methods serving as a core approach. He employs Computational Methods to simulate and optimize marine propulsion systems and heat transfer mechanisms, ensuring enhanced efficiency and sustainability. His focus includes applying Computational Methods to analyze alternative fuels, waste heat recovery cycles, and advanced refrigeration technologies. These Computational Methods support the development of predictive tools and environmentally responsible engineering solutions. By continuously integrating Computational Methods into evolving research areas, Prof. Ouadha advances the boundaries of knowledge while addressing pressing global energy and marine industry challenges.

Award and Honor

Prof. Ahmed Ouadha has been recognized for his exceptional academic and research contributions, often centered around the innovative application of Computational Methods. His work using Computational Methods in marine energy systems has earned distinctions in conferences and journals. These awards highlight the impact of Computational Methods in optimizing performance, reducing emissions, and improving sustainability in marine and thermal engineering. Honors received underscore his role as a pioneer integrating Computational Methods in multi-disciplinary projects. Through such achievements, he has elevated both academic standards and industrial practices, proving the transformative influence of Computational Methods in engineering advancements globally and inspiring future generations of researchers.

Research Skill

Prof. Ahmed Ouadha possesses a broad set of research skills rooted in Computational Methods. His expertise includes modeling thermodynamic cycles, simulating fluid dynamics, and conducting exergy and entropy analyses using Computational Methods. He demonstrates strong capabilities in designing and validating advanced engineering systems where Computational Methods enhance predictive accuracy. His skills extend to integrating Computational Methods with experimental approaches, yielding robust insights for marine propulsion and refrigeration systems. He effectively applies Computational Methods to develop innovative solutions addressing energy efficiency, emissions control, and sustainable operations. This mastery of Computational Methods positions him as an essential contributor to cutting-edge engineering research and practical technological progress.

Publication Top Notes 

Title: Numerical study of energy separation in a vortex tube with different RANS models
Journal: International Journal of Thermal Sciences
Authors: M Baghdad, A Ouadha, O Imine, Y Addad
Citation: 108

Title: Integration of an ammonia-water absorption refrigeration system with a marine Diesel engine: A thermodynamic study
Journal: Procedia Computer Science
Authors: A Ouadha, Y El-Gotni
Citation: 94

Title: Effects of variable thermophysical properties on flow and energy separation in a vortex tube
Journal: International Journal of Refrigeration
Authors: A Ouadha, M Baghdad, Y Addad
Citation: 54

Title: Thermodynamic analysis of an HCCI engine based system running on natural gas
Journal: Energy Conversion and Management
Authors: M Djermouni, A Ouadha
Citation: 53

Title: Exergy analysis of a two-stage refrigeration cycle using two natural substitutes of HCFC22
Journal: International Journal of Exergy
Authors: A Ouadha, M En-Nacer, L Adjlout, O Imine
Citation: 51

Title: Combustion characteristics of hydrogen-rich alternative fuels in counter-flow diffusion flame configuration
Journal: Energy Conversion and Management
Authors: K Safer, F Tabet, A Ouadha, M Safer, I Gökalp
Citation: 34

Title: Thermodynamic analysis of methanol, ammonia, and hydrogen as alternative fuels in HCCI engines
Journal: International Journal of Thermofluids
Authors: M Djermouni, A Ouadha
Citation: 32

Title: Simulation of a syngas counter-flow diffusion flame structure and NO emissions in the pressure range 1–10 atm
Journal: Fuel Processing Technology
Authors: K Safer, F Tabet, A Ouadha, M Safer, I Gökalp
Citation: 32

Title: A numerical investigation of structure and emissions of oxygen-enriched syngas flame in counter-flow configuration
Journal: International Journal of Hydrogen Energy
Authors: M Safer, F Tabet, A Ouadha, K Safer
Citation: 28

Title: Comparative assessment of LNG and LPG in HCCI engines
Journal: Energy Procedia
Authors: M Djermouni, A Ouadha
Citation: 24

Title: An exergy analysis of various layouts of ORC-VCC systems for usage in waste heat recovery onboard ships
Journal: Marine Systems & Ocean Technology
Authors: O Bounefour, A Ouadha, Y Addad
Citation: 20

Title: Entropy generation in turbulent syngas counter-flow diffusion flames
Journal: International Journal of Hydrogen Energy
Authors: K Safer, A Ouadha, F Tabet
Citation: 18

Title: Performance comparison of cascade and two-stage refrigeration cycles using natural refrigerants
Journal: The 22nd International Congress of Refrigeration
Authors: A Ouadha, C Haddad, M En-Nacer, O Imine
Citation: 18

Title: Effects of kinetic energy and conductive solid walls on the flow and energy separation within a vortex tube
Journal: International Journal of Ambient Energy
Authors: M Baghdad, A Ouadha, Y Addad
Citation: 17

Title: Performance analysis of oxygen refrigerant in an LNG BOG re-liquefaction plant
Journal: Procedia Computer Science
Authors: BM Beladjine, A Ouadha, L Adjlout
Citation: 16

Title: Performance improvement of combined organic Rankine-vapor compression cycle using serial cascade evaporation in the organic cycle
Journal: Energy Procedia
Authors: O Bounefour, A Ouadha
Citation: 15

Title: Thermodynamic analysis and working fluid optimization of a combined ORC-VCC system using waste heat from a marine diesel engine
Journal: ASME International Mechanical Engineering Congress and Exposition
Authors: O Bounefour, A Ouadha
Citation: 13

Title: Flow and heat transfer features during propane (R290) and isobutane (R600a) boiling in a tube
Journal: International Journal of Thermofluids
Authors: R Fenouche, A Ouadha
Citation: 12

Title: Exergy analysis of an LNG BOG reliquefaction plant
Journal: Proceedings of the 23rd IIR International Congress of Refrigeration
Authors: BM Beladjine, A Ouadha, Y Benabdesslam, L Adjlout
Citation: 11

Title: CFD-based analysis of entropy generation in turbulent double diffusive natural convection flow in square cavity
Journal: MATEC Web of Conferences
Authors: K Said, A Ouadha, A Sabeur
Citation: 9

Conclusion

Prof. Ahmed Ouadha’s career exemplifies excellence in research, education, and innovation driven by Computational Methods. His contributions impact academic advancement, industrial efficiency, and environmental sustainability. By employing Computational Methods across multiple disciplines, he transforms theoretical concepts into practical solutions for marine propulsion, refrigeration, and energy systems. His leadership fosters collaborations where Computational Methods enable breakthroughs addressing contemporary engineering challenges. The consistency, depth, and vision in applying Computational Methods underline his status as a prominent figure in modern mechanical and marine engineering. Prof. Ouadha continues to shape the future of engineering education and technology, demonstrating how Computational Methods can inspire progress globally.

Assist. Prof. Dr. J. Prakash | Mathematical Physics | Best Researcher Award

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Assist. Prof. Dr. J. Prakash | Mathematical Physics | Best Researcher Award

Assistant Professor at Avvaiyar Government College for Women | India

Assist. Prof. Dr. J. Prakash is a highly accomplished academic in Mathematical Physics with a strong dedication to research, teaching, and innovation. His expertise in Mathematical Physics spans fluid dynamics, partial differential equations, numerical analysis, and fractional differential equations. With years of valuable academic service, he has contributed extensively to Mathematical Physics education and research through advanced theoretical and computational studies. His role as an educator and mentor has strengthened Mathematical Physics understanding among students and peers. He has published numerous impactful papers in Mathematical Physics journals and participated in national and international academic events. His contributions reflect a deep commitment to the advancement of Mathematical Physics as both a discipline and a tool for addressing complex real-world challenges.

Professional Profiles

Scopus Profile | ORCID Profile

Education 

Assist. Prof. Dr. J. Prakash holds an exceptional academic foundation built upon a passion for Mathematical Physics. His journey began with undergraduate and postgraduate degrees focused on Mathematics, providing a strong basis for Mathematical Physics exploration. He pursued higher research qualifications, including an M.Phil. and Ph.D., where Mathematical Physics concepts played a central role in his investigations of fluid dynamics, nanofluids, and external effects on peristaltic motion. His education reflects a deliberate integration of Mathematical Physics with practical and theoretical problem-solving. Through rigorous academic training, he has developed deep analytical, numerical, and computational skills, enabling significant contributions to Mathematical Physics. His academic path highlights a commitment to excellence and a lifelong dedication to advancing Mathematical Physics knowledge.

Experience 

Assist. Prof. Dr. J. Prakash brings extensive professional experience in Mathematical Physics through years of teaching and research across multiple institutions. His career includes academic roles that integrate Mathematical Physics in engineering and applied sciences curricula. He has worked on projects applying Mathematical Physics to fluid dynamics, heat transfer, and nanotechnology-driven systems, providing real-world insights to theoretical frameworks. His academic journey includes positions of responsibility, mentorship, and leadership, where Mathematical Physics principles have guided curriculum development, research supervision, and interdisciplinary collaboration. He has also acted as a resource person, technical session chair, and contributor to academic quality programs, ensuring Mathematical Physics remains at the forefront of innovative scientific education and research excellence in institutional and broader academic contexts.

Research Interest 

Assist. Prof. Dr. J. Prakash has diverse research interests rooted in Mathematical Physics, focusing on advanced fluid dynamics, heat and mass transfer, nanofluid systems, and electro-magneto-hydrodynamics. His Mathematical Physics studies explore both theoretical modeling and computational simulations, revealing novel insights into peristaltic motion, fractional differential equations, and complex flow behavior. The integration of Mathematical Physics with emerging technologies such as energy systems, biomedical flows, and smart fluidic devices underscores the practical relevance of his work. By addressing contemporary challenges through Mathematical Physics-based problem-solving, his research provides pathways to technological innovation. His efforts strengthen the link between fundamental Mathematical Physics theory and applied sciences, contributing to academic growth and industrial advancements simultaneously in innovative and impactful ways.

Award and Honor

Assist. Prof. Dr. J. Prakash has received multiple awards and honors for his contributions to Mathematical Physics, reflecting international recognition of his impactful research and academic excellence. His recognition as one of the top 2% scientists globally highlights his exceptional Mathematical Physics achievements and influential publications. He has been trusted with responsibilities such as examination supervision, technical session chairing, and academic board memberships, showcasing leadership in Mathematical Physics communities. Invitations as a resource person in seminars and conferences further demonstrate respect for his Mathematical Physics expertise. His awards validate his dedication to expanding Mathematical Physics knowledge while inspiring peers and students. These honors collectively confirm his enduring influence on the progress of Mathematical Physics across diverse academic and practical fields.

Research Skill

Assist. Prof. Dr. J. Prakash possesses exceptional research skills in Mathematical Physics, combining theoretical analysis, computational modeling, and interdisciplinary problem-solving. His Mathematical Physics research integrates advanced mathematical techniques with practical engineering and scientific challenges. Skilled in MATLAB, MATHEMATICA, and MAPLE, he applies computational tools to complex Mathematical Physics systems, enabling accurate simulation and prediction of phenomena. His expertise includes analytical derivation, stability analysis, and optimization within Mathematical Physics frameworks. By translating sophisticated Mathematical Physics models into real-world solutions, he contributes to technological innovation. His research proficiency extends to collaborative projects, publications, and mentoring, fostering future scholars capable of advancing Mathematical Physics further. His methodological precision ensures impactful and reproducible results, strengthening the reliability and scope of Mathematical Physics research.

Publication Top Notes 

Title: Computation of magnetohydrodynamic electro-osmotic modulated rotating squeezing flow with zeta potential effects
Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Authors: Balaji, R.; Prakash, J.; Tripathi, Dharmendra; Beg, O. Anwar
Year: 2022

Title: Electroosmotic modulated unsteady squeezing flow with temperature-dependent thermal conductivity, electric and magnetic field effects
Journal: Journal of Physics: Condensed Matter
Authors: Prakash, J.; Tripathi, Dharmendra; Beg, O. Anwar; Sharma, Ravi Kumar
Year: 2022

Title: Impact of the electromagnetic flow of an MHD Casson fluid over an oscillating porous plate
Journal: Heat Transfer
Authors: Rajaram, Vijayaragavan; Varadharaj, Bharathi; Jayavel, Prakash
Year: 2022

Title: Insight into Newtonian fluid flow and heat transfer in vertical microchannel subject to rhythmic membrane contraction due to pressure gradient and buoyancy forces
Journal: International Journal of Heat and Mass Transfer
Authors: Bhandari, D. S.; Tripathi, Dharmendra; Prakash, J.
Year: 2022

Title: Numerical analysis of electromagnetic squeezing flow through a parallel porous medium plate with impact of suction/injection
Journal: Waves in Random and Complex Media
Authors: Jayavel, Prakash; Katta, Ramesh; Lodhi, Ram Kishun
Year: 2022

Title: Tangent hyperbolic non-Newtonian radiative bioconvection nanofluid flow from a bi-directional stretching surface with electro-magneto-hydrodynamic, Joule heating and modified diffusion effects
Journal: The European Physical Journal Plus
Authors: Prakash, J.; Tripathi, Dharmendra; Akkurt, Nevzat; Beg, O. Anwar
Year: 2022

Title: Thermo-electrokinetic rotating non-Newtonian hybrid nanofluid flow from an accelerating vertical surface
Journal: Heat Transfer
Authors: Jayavel, Prakash; Tripathi, Dharmendra; Beg, O. Anwar; Tiwari, Abhishek Kumar; Kumar, Rakesh
Year: 2022

Title: A study of electro-osmotic and magnetohybrid nanoliquid flow via radiative heat transfer past an exponentially accelerated plate
Journal: Heat Transfer
Authors: Rajaram, Vijayaragavan; Varadharaj, Bharathi; Jayavel, Prakash
Year: 2021

Title: Heat and mass transfer effect of a Magnetohydrodynamic Casson fluid flow in the presence of inclined plate
Journal: Indian Journal of Pure and Applied Physics
Authors: Vijayaragavan, R.; Bharathi, V; Prakash, J.
Year: 2021

Title: Impact of electroosmotic flow on a Casson fluid driven by chemical reaction and convective boundary conditions
Journal: Heat Transfer
Authors: Rajaram, Vijayaragavan; Varadharaj, Bharathi; Jayavel, Prakash
Year: 2021

Conclusion

Assist. Prof. Dr. J. Prakash exemplifies excellence in Mathematical Physics through consistent contributions to education, research, and innovation. His dedication to Mathematical Physics has produced impactful publications, guided students, and advanced interdisciplinary collaboration. Through his expertise, Mathematical Physics has been applied to solve complex scientific and engineering problems, bridging theoretical mathematics with practical technologies. His academic journey reflects a lifelong commitment to expanding the horizons of Mathematical Physics while maintaining its relevance to evolving industrial and academic needs. His recognition among top global scientists underscores the significance of his Mathematical Physics achievements, positioning him as a leader whose work continues to inspire, influence, and drive advancements in the interconnected realms of mathematics, physics, and applied sciences.

Assist. Prof. Dr. Kifle Adula Duguma | Computational Methods | Best Researcher Award

Published on by Physicist Particle

Assist. Prof. Dr. Kifle Adula Duguma | Computational Methods | Best Researcher Award

Assistant Professor at Addis Ababa Science and Technology University, Ethiopia

Assist. Prof. Dr. Kifle Adula Duguma is a distinguished academic in the field of Computational Methods, dedicated to advancing knowledge in computational fluid dynamics, applied mathematics, and numerical analysis. His work on Computational Methods spans theoretical research, practical applications, and interdisciplinary collaboration. In his professional journey, Dr. Duguma has integrated Computational Methods into both undergraduate and postgraduate education, guiding students in research and project work. His publications in high-impact journals consistently emphasize Computational Methods for solving complex fluid flow, heat transfer, and porous media problems. By applying Computational Methods to nanofluid dynamics, magnetohydrodynamics, and hybrid modeling, he has contributed valuable insights to modern engineering problems. His academic leadership also promotes Computational Methods as a cornerstone of innovative problem-solving.

Professional Profile

ORCID Profile | Google Scholar Profile

Education 

Assist. Prof. Dr. Kifle Adula Duguma has built his academic foundation through extensive studies in mathematics, numerical analysis, and computational fluid dynamics, always centered on Computational Methods. From undergraduate studies in mathematics to advanced doctoral research, Computational Methods formed the core of his learning. His doctoral thesis applied Computational Methods to complex flow and heat transfer problems, integrating theory with simulation. During his master’s degree, he refined his expertise in Computational Methods for solving nonlinear partial differential equations. Each academic stage strengthened his ability to innovate with Computational Methods, whether in finite element approaches, finite difference applications, or numerical modeling techniques. His training consistently reflects a deep engagement with Computational Methods, preparing him for impactful contributions in teaching and research.

Experience 

Assist. Prof. Dr. Kifle Adula Duguma has extensive professional experience applying Computational Methods in both teaching and research. As an assistant professor, he has taught courses in applied mathematics, computational fluid dynamics, and numerical analysis, always embedding Computational Methods in lectures, laboratories, and projects. His leadership roles, including heading the mathematics division, emphasized curriculum design with strong Computational Methods components. His research applies Computational Methods to nanofluid flows, magnetohydrodynamics, hybrid models, and porous media. He supervises student projects that rely on Computational Methods for simulation and optimization. Across his career, Dr. Duguma has demonstrated that Computational Methods are essential in solving complex engineering problems, from industrial applications to academic challenges, ensuring students and peers value Computational Methods in their work.

Research Interest 

Assist. Prof. Dr. Kifle Adula Duguma’s research interests revolve around the innovative application of Computational Methods in science and engineering. His primary focus areas include computational fluid dynamics, nanofluids, magnetohydrodynamics, electrohydrodynamics, and thermal transport phenomena, all driven by Computational Methods. He explores new algorithms, optimization techniques, and simulation strategies using Computational Methods for real-world problems. His studies in non-Newtonian fluids and hybrid nanofluids apply Computational Methods to enhance prediction accuracy and performance modeling. By integrating Computational Methods into multidisciplinary research, he addresses challenges in heat and mass transfer, stability analysis, and porous media flows. The consistent thread in his scholarly work is the advancement of Computational Methods as powerful tools for solving emerging engineering and scientific challenges worldwide.

Award and Honor

Assist. Prof. Dr. Kifle Adula Duguma’s academic achievements are closely linked to his pioneering contributions in Computational Methods. His recognition comes from publishing high-impact research where Computational Methods solve advanced engineering problems. Awards and honors highlight his leadership in integrating Computational Methods into both research and teaching. Serving as a journal reviewer, he evaluates work that applies Computational Methods across various domains. His leadership positions and contributions to academic communities are built upon advancing Computational Methods knowledge. These honors reflect not only technical expertise but also his ability to inspire others to apply Computational Methods in innovative ways. By consistently promoting Computational Methods, Dr. Duguma has earned respect as a leading figure in computational science and engineering.

Research Skill

Assist. Prof. Dr. Kifle Adula Duguma’s research skills are deeply rooted in Computational Methods, making him proficient in multiple numerical and analytical approaches. He expertly applies Computational Methods such as finite difference, finite element, finite volume, and Runge-Kutta techniques to model complex systems. His use of Computational Methods extends to software like MATLAB, Mathematica, Maple, and Python for simulation and analysis. He excels in data interpretation, algorithm development, and scientific computation, all grounded in Computational Methods. His capacity to integrate Computational Methods into experimental validation and theoretical frameworks strengthens his research output. Whether in teaching, mentoring, or publication, his skill set ensures Computational Methods remain central to his work and to the advancement of modern engineering practices globally.

Publication Top Notes

Title: Stability analysis of dual solutions of convective flow of casson nanofluid past a shrinking/stretching slippery sheet with thermophoresis and brownian motion in porous media

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Journal of Mathematics

Title: Dual Solutions and Stability Analysis of Cu-H2O-Casson Nanofluid Convection past a Heated Stretching/Shrinking Slippery Sheet in a Porous Medium

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Computational and Mathematical Methods

Title: Stagnation Point Flow of CoFe2O4/TiO2-H2O-Casson Nanofluid past a Slippery Stretching/Shrinking Cylindrical Surface in a Darcy–Forchheimer Porous Medium

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Journal of Engineering

Title: Effects of buoyancy on radiative MHD mixed convective flow of casson nanofluid across a preamble slippery sheet in Darcy–Forchheimer porous medium: Shrinking/stretching surface …

Authors: KA Duguma

Journal: Numerical Heat Transfer, Part B: Fundamentals

Title: Stability Analysis of Dual Solutions of Convective Flow of Casson Nanofluid past a Shrinking/Stretching Slippery Sheet with Thermophoresis and Brownian Motion …

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Journal of Mathematics

Conclusion

In conclusion, Assist. Prof. Dr. Kifle Adula Duguma’s career reflects unwavering dedication to Computational Methods in education, research, and professional service. His expertise ensures Computational Methods are applied rigorously across scientific domains, from computational fluid dynamics to nanotechnology. Through teaching, supervision, and publication, he promotes the strategic use of Computational Methods to solve critical engineering problems. His leadership in academic and research settings consistently elevates the role of Computational Methods as indispensable tools in modern science. By advancing Computational Methods methodologies, fostering innovation, and inspiring students, he has established a legacy that underscores the transformative power of Computational Methods in solving global scientific and technological challenges.