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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Featured Publications

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

Prof. Ramsey F. Hamade | Engineering Mechanics | Research Excellence Award

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Prof. Ramsey F. Hamade | Engineering Mechanics | Research Excellence Award

Professor | American University of Beirut | Lebanon

Prof. Ramsey F. Hamade is a globally respected scholar and innovator whose work is firmly rooted in Engineering Mechanics and whose contributions span advanced manufacturing science applied design and applied analysis. His expertise in Engineering Mechanics integrates experimental investigation computational modeling and applied Engineering Mechanics for materials processing machining joining and structural response. Through sustained research leadership Engineering Mechanics has been advanced across friction based processing nondestructive evaluation biomedical applications and sustainable manufacturing with Engineering Mechanics serving as the unifying scientific framework. He has authored more than eighty peer reviewed journal articles book chapters and patents reflecting strong productivity and influence in Engineering Mechanics research. His work demonstrates impactful collaboration with international academic and industrial partners translating Engineering Mechanics knowledge into practical technologies and societal benefit. The outcomes include improved material performance safer structures enhanced medical solutions and sustainable engineering practices all grounded in Engineering Mechanics rigor and relevance. His scholarly influence and visibility are reflected in the professional words Google Scholar profile of 2161 Citations, 26 h-index, 53 i10 index.

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Featured Publications


Evaluating the Learning Process of Mechanical CAD Students

RF Hamade, HA Artail, MY Jaber — Computers & Education, Vol. 49(3), pp. 640–661, 2007
Cited by 127


Relating Grain Size to the Zener–Hollomon Parameter for Twin-Roll-Cast AZ31B Alloy Refined by Friction Stir Processing

AH Ammouri, G Kridli, G Ayoub, RF Hamade — Journal of Materials Processing Technology, Vol. 222, pp. 301–306, 2015
Cited by 106


Design and Testing of a Locally Made Loop-Type Thermosyphonic Heat Sink for Stove-Top Thermoelectric Generators

R Nuwayhid, RF Hamade — Renewable Energy, Vol. 30(7), pp. 1101–1116, 2005
Cited by 98


A Case for Aggressive Drilling of Aluminum

RF Hamade, F Ismail — Journal of Materials Processing Technology, Vol. 166(1), pp. 86–97, 2005
Cited by 92


Extracting Cutting Force Coefficients from Drilling Experiments

RF Hamade, CY Seif, F Ismail — International Journal of Machine Tools and Manufacture, Vol. 46(3–4), pp. 387–396, 2006
Cited by 86

Assoc. Prof. Dr. Keli Zheng | Mathematics | Research Excellence Award

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Assoc. Prof. Dr. Keli Zheng | Mathematics | Research Excellence Award

Associate Professor | Northeast Forestry University | China

Assoc. Prof. Dr. Keli Zheng is a distinguished scholar whose work reflects a deep commitment to advancing mathematics through rigorous research, sustained publication activity and meaningful collaboration. With core expertise grounded in mathematics and its structural theories, the contributions of Assoc. Prof. Dr. Keli Zheng span mathematics related to Lie theory, modular Lie superalgebras, pseudo Riemannian superalgebras and mathematical physics, supported by more than thirty publications and extensive involvement in mathematics driven projects across national, provincial and institutional platforms. The research output demonstrates how mathematics can shape theoretical understanding while enabling new applications, with several studies published in respected mathematics journals and enriched by collaborations with researchers from multiple universities. Assoc. Prof. Dr. Keli Zheng has also integrated mathematics into teaching innovation by developing course materials and co authoring textbooks that strengthen mathematics education and support learners in abstract algebra and related fields. The societal impact of this work emerges from the sustained advancement of mathematics knowledge, the cultivation of young researchers and the strengthening of academic networks centered on mathematics inquiry. Through continued dedication to mathematics research, mathematics scholarship and mathematics dissemination, Assoc. Prof. Dr. Keli Zheng contributes significantly to the global development of mathematics. Scopus profile of 17 Citations, 12 Documents, 2 h index.

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Featured Publications

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.

Assoc. Prof. Dr. Krishna Pada Das | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Krishna Pada Das | Mathematics | Best Researcher Award

Associate Professor | Mahadevananda Mahavidyalaya | India

Assoc. Prof. Dr. Krishna Pada Das, a distinguished scholar in Mathematics, currently serves as an Associate Professor in the Department of Mathematics at Mahadevananda Mahavidyalaya, Barrackpore. His academic journey includes a Bachelor’s and Master’s degree in Mathematical Science from Calcutta University and a Doctorate in Applied Mathematics from Jadavpur University, where he conducted pioneering research under the supervision of Prof. Joydev Chattopadhyay at the Indian Statistical Institute. With extensive professional experience as a researcher and educator, he has contributed significantly to the field of Mathematics through his exploration of eco-epidemiological models, nonlinear dynamics, and bifurcation theory. His Mathematics research primarily focuses on the dynamics of predator-prey systems, infectious disease modeling, and population ecology using advanced mathematical tools such as fractional calculus, diffusion, stochastic processes, and delay differential equations. Over the course of his Mathematics career, Assoc. Prof. Dr. Krishna Pada Das has published more than ninety high-impact Mathematics research papers and guided multiple Ph.D. candidates in applied and computational Mathematics. His notable Mathematics achievements include the ISI Research Award and clearing the SLET examination, recognizing his exceptional academic and research proficiency in Mathematics. His Mathematics skills encompass mathematical modeling, numerical simulation using MATLAB, and analytical techniques for stability and chaos control in biological systems. In conclusion, his Mathematics contributions have strengthened interdisciplinary research connecting ecology, epidemiology, and applied mathematics, solidifying his position as a prominent researcher. Google Scholar profile of 1840 Citations, 23 h-index, 38 i10 index.

Profile: Google Scholar

Featured Publications

1. Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing. Journal of Applied Microbiology, 102(1), 195–203.

2. Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio‐frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317–322.

3. Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19–22.

4. Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

5. Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.*

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

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Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Associate Professor | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi is an accomplished scholar in Applied Mathematics whose expertise lies prominently in the study and advancement of Differentiation Equation systems. Her academic journey, including a Doctor of Philosophy from Universiti Putra Malaysia and earlier degrees from King Saud University, shaped her deep engagement with Differentiation Equation models and fractional calculus. With professional experience as a Lecturer, Vice Dean, and currently an Associate Professor at Imam Mohammad Ibn Saud Islamic University, she has significantly contributed to teaching, research, and academic administration. Her research explores fractional Differentiation Equation formulations, Lévy stochastic processes, and applications in financial and physical systems. Her Q1-ranked publications in journals like Mathematics and Chaos, Solitons & Fractals highlight her command of complex Differentiation Equation frameworks. Recognized through her participation in international conferences and leadership programs, she exhibits strong analytical and computational skills, particularly in MATLAB and mathematical modeling. Her dedication to the Differentiation Equation field continues to influence emerging studies in nonlinear systems, fractional models, and applied mathematics. Overall, Assist. Prof. Dr. Reem Abdullah Sadan Aljethi’s scholarly path exemplifies excellence, innovation, and leadership in the global study of Differentiation Equation research and its expanding interdisciplinary applications.

Profiles: Google Scholar | ORCID

Featured Publications

1. Aljethi, R. A., & Kılıçman, A. (2022). Financial applications on fractional Lévy stochastic processes. Fractal and Fractional, 6(5), 278.

2. Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

3. Aljethi, R. A., & Kılıçman, A. (2023). Derivation of the fractional Fokker–Planck equation for stable Lévy with financial applications. Mathematics, 11(5), 1102.

4. Aljedhi, R. A., & Kılıçman, A. (2020). Fractional partial differential equations associated with Lévy stable process. Mathematics, 8(4), 508.

5. Ejaz Hussain, U. Y., Aljethi, R. A., & Farooq, K. (2025). Optical multi-peakon dynamics in the fractional cubic–quintic nonlinear pulse propagation model using a novel integral approach. Fractal and Fractional, 9(10), 631.

Dr. Prity Kumari | Mathematics | Women Researcher Award

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Dr. Prity Kumari | Mathematics | Women Researcher Award

PhD scholar | National Institute of Technology | India

Dr. Prity Kumari is an accomplished researcher in Mathematics with expertise in graph theory, combinatorics, cryptography, wireless sensor networks, and machine learning, demonstrating a strong academic and professional foundation through advanced studies and significant teaching experience in engineering mathematics, numerical methods, and discrete mathematics. Her doctoral work focused on the application of combinatorial design in wireless sensor networks, reflecting her depth in both theoretical and applied Mathematics. She has published impactful research in reputed SCIE and Q1/Q2 journals, contributing to key areas like group key management, cryptographic security, and re-keying prediction models using Mathematics-driven combinatorial and machine learning approaches. With fellowships, merit-based scholarships, and active participation in national-level workshops on post-quantum cryptography, cyber security, and Mathematics for machine learning, she has broadened her expertise and collaborative exposure. Dr. Prity Kumari has also enriched her professional skills through roles as a Mathematics faculty and teaching assistant, guiding learners in foundational and advanced topics of Mathematics. Her research skills highlight proficiency in combinatorial design, cryptographic applications, algorithmic development, and predictive modeling, aligning with cutting-edge directions in Mathematics and computer science. Awards, honors, and fellowships further strengthen her academic profile, demonstrating excellence and commitment. Beyond research, she engaged in leadership roles like hostel representative, reflecting organizational and interpersonal abilities. In conclusion, Dr. Prity Kumari embodies a Mathematics scholar whose contributions interconnect combinatorial structures, cryptographic security, and applied computational methods, making her a valuable academic and researcher with strong potential for further advancing the field of Mathematics.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kumari, P., & Singh, K. R. (2024). Re-keying analysis in group key management of wireless sensor networks. Cryptography and Communications, 16(3), 665–677.

2. Mandal, R. K. P. K. N. R. D. S. S. K. (2024). Experimental comparison of pool boiling characteristics between CNT, GO, and CNT + GO-coated copper substrate. Heat Transfer. Advance online publication.

3. Kumar, P. K. K. R. S. R. (2025). Stacking ensemble algorithm to predict re-keying in group key management. Arabian Journal for Science and Engineering, 1–15.

4. Pegu, J., Singh, K. R., Kumari, P., & Mishra, V. N. (2025). Decomposition of corona graph. Filomat, 39(10), 3321–3328.

5. Kumari, P., & Singh, K. R. (2025). Re-keying in group key management for wireless sensor network using nested balanced incomplete block designs. IETE Journal of Research, 1–13.

Dr. Akinbo Bayo Johnson | Mathematics | Best Researcher Award

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Dr. Akinbo Bayo Johnson | Mathematics | Best Researcher Award

Senior Lecturer | Federal College of Education, Abeokuta, Nigeria and Postdoctoral researcher at Universidade Federal De Itajuba | Brazil 

Dr. Akinbo Bayo Johnson is a distinguished scholar in applied mathematics whose expertise spans fluid dynamics, entropy generation, nano and non-Newtonian fluids, thermodynamic models, and computational mathematics. With a Ph.D. in applied mathematics and solid foundations from advanced studies in mathematics, his academic journey has been dedicated to advancing theoretical and applied aspects of mathematics. He has served as a lecturer, senior researcher, and currently contributes as a postdoctoral researcher in Brazil, showcasing professional experience across teaching, supervision, and international research collaborations. His research interests are deeply rooted in mathematics, where he explores bioconvectional fluids, heat and mass transfer, and mathematical modeling, all of which have resulted in impactful publications in high-ranking journals. Dr. Akinbo has been honored with awards such as the Best Paper Award, Tetfund Postdoctoral Award, and multiple recognitions from scientific associations, reflecting his excellence in mathematics-driven research. His professional memberships in the Mathematical Association of Nigeria and related bodies further highlight his integration within the mathematics community. Skilled in MATHEMATICA programming and computational approaches, he has applied mathematics extensively in solving differential equations, thermodynamic systems, and fluid mechanics problems. His career demonstrates consistent contributions as a reviewer for international journals, strengthening the dissemination of mathematical knowledge. Overall, Dr. Akinbo Bayo Johnson embodies a commitment to mathematics through education, research, and professional service, and his dedication ensures that mathematics remains a vital tool in addressing complex scientific challenges while inspiring the next generation of mathematics researchers.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Akinbo, B. J., & Olajuwon, B. I. (2023). Impact of radiation and heat generation/absorption in a Walters’ B fluid through a porous medium with thermal and thermo diffusion in the presence of chemical reaction. International Journal of Modelling and Simulation, 43(2), 87–100.

2. Akinbo, B. J., & Olajuwon, B. I. (2021). Impact of radiation and chemical reaction on stagnation-point flow of hydromagnetic Walters' B fluid with Newtonian heating. International Communications in Heat and Mass Transfer, 121, 105115.

3. Akinbo, B. J., & Olajuwon, B. I. (2019). Homotopy analysis investigation of heat and mass transfer flow past a vertical porous medium in the presence of heat source. International Journal of Heat & Technology, 37(3).

4. Akinbo, B. J., & Olajuwon, B. I. (2021). Radiation and thermal-diffusion interaction on stagnation-point flow of Walters' B fluid toward a vertical stretching sheet. International Communications in Heat and Mass Transfer, 126, 105471.

5. Akinbo, B. J., & Olajuwon, B. I. (2021). Heat transfer analysis in a hydromagnetic Walters' B fluid with elastic deformation and Newtonian heating. Heat Transfer, 50(3), 2033–2048.

6. Akinbo, B. J., Faniran, T., & Ayoola, E. O. (2015). Numerical solution of stochastic differential equations. International Journal of Advanced Research in Science, Engineering and Technology.

7. Akinbo, B. J., & Olajuwon, B. I. (2019). Heat and mass transfer in magnetohydrodynamics (MHD) flow over a moving vertical plate with convective boundary condition in the presence of thermal radiation. Sigma Journal of Engineering and Natural Sciences, 37(3), 1031–1053.

8. Akinbo, B. (2021). Influence of convective boundary condition on heat and mass transfer in a Walters’ B fluid over a vertical stretching surface with thermal-diffusion effect. Journal of Thermal Engineering, 7(7), 1784–1796.

9. Akinbo, B. J., & Olajuwon, B. I. (2019). Convective heat and mass transfer in electrically conducting flow past a vertical plate embedded in a porous medium in the presence of thermal radiation and thermo diffusion. Computational Thermal Sciences: An International Journal, 11(4).

10. Akinbo, B. J., & Olajuwon, B. I. (2025). Significance of Cattaneo-Christov heat flux model and heat generation/absorption with chemical reaction in Walters’ B fluid via a porous medium in the presence of Newtonian heating. International Journal of Modelling and Simulation, 45(1), 137–146.