Mr. Usman Rilwan | Fluid Dynamics | Best Researcher Award

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Mr. Usman Rilwan | Fluid Dynamics | Best Researcher Award

Mr. Usman Rilwan | Ahmadu Bello University  | Nigeria

Mr. Usman Rilwan is a dedicated Nigerian scholar and researcher in the field of applied mathematics, mathematical modeling, and computational fluid dynamics. He is currently pursuing a PhD in Mathematics at Ahmadu Bello University, Zaria, where he also earned his MSc in Mathematics with distinction and a BSc in Mathematics with Second Class Upper Division. Additionally, he holds a National Diploma in Computer Science with First Class Honors from Kaduna Polytechnic. His work has been cited 19 times across 16 documents, with a total of 4 published documents and an h-index of 3. Mr. Rilwan’s professional journey includes significant roles such as Graduate Assistant at Kaduna Polytechnic and Tax Inspector II at the Kaduna State Internal Revenue Service, reflecting his strong academic foundation and practical experience. His earlier engagements at the Federal Radio Corporation of Nigeria and the National Bureau of Statistics enhanced his technical and analytical expertise. His research interests include electromagnetohydrodynamic flow, joule heating, viscous dissipation, and electroosmotic effects in porous microchannels, contributing to advancements in MEMS cooling and nanofluid flow systems. He has co-authored several peer-reviewed papers in prestigious international journals, including Heat Transfer and the Journal of Nanomaterials, Nanoengineering and Nanosystems. With a deep passion for innovation and academic excellence, Mr. Rilwan continues to advance research in mathematical modeling and its applications in science and engineering.

Profiles: Scopus | Google Scholar

Featured Publications

  • Rilwan, U. S., Oni, M. O., Jha, B. K., & Jibril, H. M. (2024). Analysis of Joule heating and viscous dissipation on electromagnetohydrodynamic flow with electroosmotic effect in a porous microchannel: A heat transfer miniature enhancement. Heat Transfer, 53(3), 989–1013.

  • Rilwan, U. S., Oni, M. O., Jibril, H. M., & Jha, B. K. (2023). Effects of joule heating and viscous dissipation on electromagneto-hydrodynamic flow in a microchannel with electroosmotic effect: Enhancement of MEMS cooling. Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems.

  • Oni, M. O., & Rilwan, U. S. (2023). Role of suction/injection on electromagnetohydrodynamics natural convection flow in a porous microchannel with electroosmotic effect. International Journal of Applied Mechanics and Engineering. Zielona Góra: Uniwersytet Zielonogórski.

  • Oni, M. O., & Rilwan, U. S. (2025). Interplay of steady/unsteady Jeffrey EMHD nanofluid flow formation in a vertical channel with induced magnetic field. Journal of the Korean Physical Society, 1–27.

  • Oni, M. O., & Rilwan, U. S. (2025). Coupled thermal and electrokinetic effects on natural convection in electromagnetohydrodynamic flow. Journal of Mathematics and Artificial Intelligence, 1(2), 91–115.

  • Oni, M. O., & Rilwan, U. S. (2023). Significance of heat source/sink on electromagnetohydrodynamics natural convection flow with electroosmotic effect. Unpublished manuscript.

 

Dr. Moh Yaseen | Fluid Dynamics | Best Researcher Award

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Dr. Moh Yaseen | Fluid Dynamics | Best Researcher Award

Dr. Moh Yaseen , Chandigarh University , India.

Dr. Moh Yaseen is an enthusiastic researcher and educator 🧠📚, currently serving as an Assistant Professor at Chandigarh University since August 2023 🏫. He earned his Ph.D. in Mathematics (2019–2022) from G. B. Pant University, focusing on boundary layer hybrid nanofluid flow and heat transfer 🌊🔥. With over 33 research publications, including 26 in SCI/SCIE journals and 11 in Q1-ranked journals 📝📊, his work has received 760 citations 📈. His teaching spans undergraduate and postgraduate levels, and he actively contributes to academic growth through conferences, advanced coursework, and technical proficiency in tools like MATLAB and Mathematica 💻📐.

Professional Profile

Orcid 
Scopus
Google Scholar

Education & Experience 

🎓 Education:

  • 📜 Ph.D. in Mathematics (2019–2022), G. B. Pant University, Pantnagar – Thesis on nanofluid flow and heat transfer

  • 📘 M.Sc. in Mathematics (2017–2019), M. B. Govt. P. G. College, Haldwani – 68%

  • 📗 B.Sc. (PCM) (2014–2017), M. B. Govt. P. G. College, Haldwani

  • 🏫 Senior Secondary (2013), Inter College Bara

  • 🏫 Secondary School (2011), Govt. High School Bakhpur

🧑‍🏫 Experience:

  • 🎓 Assistant Professor, Chandigarh University (Aug 2023 – Present)

  • 📚 Assistant Professor, MIET Meerut (Aug 2022 – July 2023)

  • 🖋️ Teaching Assistant, G. B. Pant University (2020 – 2022)

  • 📘 Subject Matter Expert – Calculus, Chegg India (Since Aug 2020)

Suitability Summary

Dr. Moh Yaseen is a highly dedicated and emerging scholar in the field of Mathematics, with a particular research focus on Boundary Layer Hybrid Nanofluid Flow and Heat Transfer. A strong contender for the Best Researcher Award, Dr. Yaseen has consistently demonstrated research excellence through high-impact publications, technical depth, and academic contribution to applied mathematics and engineering sciences.

Professional Development 

Dr. Moh Yaseen’s professional journey reflects a deep commitment to academic and research excellence 🌟. His participation in prestigious conferences like ISTAM at IIT Kharagpur and i-CONECTS at MNIT Jaipur 🎤📍highlights his collaborative and evolving research approach. Equipped with strong technical tools such as MATLAB, Mathematica, and Microsoft Teams 💻📊, he integrates innovation in both teaching and research. He has taught a wide range of courses from Engineering Mathematics to Linear Algebra 📘, engaging B.Tech., M.Sc., and B.Sc. students effectively. His multidisciplinary skills, scholarly publications, and consistent knowledge-sharing define his professional development path 📈📚.

Research Focus 

Dr. Yaseen’s research lies in the field of applied mathematics with a specialized focus on boundary layer theory, nanofluid dynamics, and heat transfer phenomena 🔥🌊. He employs hybrid nanofluids to solve complex real-world problems involving thermal and fluid behavior in engineering contexts 🛠️🌡️. His expertise spans mathematical modeling, differential equations, and computational methods using MATLAB and Mathematica 💻📐. With a strong publication record in Q1 and Q2 journals and significant citations, his research contributes substantially to fluid mechanics, thermal sciences, and applied numerical methods 📘📊. His work supports advancements in mechanical, aerospace, and energy systems engineering ⚙️🚀.

Awards & Honors 

  • 🧠 Published 33 Research Papers (26 in SCI/SCIE journals, 11 in Q1 journals)

  • 📊 760+ Citations, h-index: 16, i10-index: 21

  • 🗣️ Speaker at ISTAM Conference, IIT Kharagpur, Dec 2021

  • 🎤 Presenter at i-CONECTS Conference, MNIT Jaipur, Nov 2021

  • 👨‍🏫 Teaching Assistantship during Ph.D. at G. B. Pant University

  • 💼 Subject Matter Expert Award, Chegg India (Performance-based recognition)

Publication Top Notes

  1. “Heat transfer in micropolar hybrid nanofluid flow past a vertical plate in the presence of thermal radiation and suction/injection effects”
    Authors: P. Gumber, M. Yaseen, S. K. Rawat, M. Kumar
    Journal: Partial Differential Equations in Applied Mathematics, Volume 5, Article 100240
    Year: 2022
    Citations: 124

  1. “Ternary hybrid nanofluid flow containing gyrotactic microorganisms over three different geometries with Cattaneo–Christov model”
    Authors: M. Yaseen, S. K. Rawat, N. A. Shah, M. Kumar, S. M. Eldin
    Journal: Mathematics, Volume 11, Issue 5, Article 1237
    Year: 2023
    Citations: 93

  1. “Assisting and opposing flow of a MHD hybrid nanofluid flow past a permeable moving surface with heat source/sink and thermal radiation”
    Authors: M. Yaseen, M. Kumar, S. K. Rawat
    Journal: Partial Differential Equations in Applied Mathematics, Volume 4, Article 100168
    Year: 2021
    Citations: 89

  1. “Hybrid Nanofluid Flow over Two Different Geometries with Cattaneo-Christov Heat Flux Model and Heat Generation: A Model with Correlation Coefficient and Probable Error”
    Authors: R. Garia, S. K. Rawat, M. Kumar, M. Yaseen
    Journal: Chinese Journal of Physics
    Year: 2021
    Citations: 81

  1. “Analysis of Heat Transfer of Mono and Hybrid Nanofluid Flow between Two Parallel Plates in a Darcy Porous Medium with Thermal Radiation and Heat Generation/Absorption”
    Authors: M. Yaseen, S. K. Rawat, A. Shafiq, M. Kumar, K. Nonlaopon
    Journal: Symmetry, Volume 14, Issue 9
    Year: 2022
    Citations: 75

  1. “Cattaneo–Christov heat flux model in Darcy–Forchheimer radiative flow of MoS₂–SiO₂/kerosene oil between two parallel rotating disks”
    Authors: M. Yaseen, M. Kumar, S. K. Rawat
    Journal: Journal of Thermal Analysis and Calorimetry
    Year: 2022
    Citations: 72

  1. “Development of machine learning algorithm for assessment of heat transfer of ternary hybrid nanofluid flow towards three different geometries: Case of artificial neural network”
    Authors: A. Mishra, S. K. Rawat, M. Yaseen, M. Pant
    Journal: Heliyon
    Year: Not specified
    Citations: 68

Conclusion

With an outstanding publication record, high citation metrics, and continued contribution to applied mathematical research and education, Dr. Moh Yaseen exemplifies the qualities of a modern researcher. His pioneering studies in nanofluid flow and heat transfer, paired with a strong teaching portfolio and international exposure through conferences, make him exceptionally suited for the Best Researcher Award. His work is not only theoretically impactful but also holds promising practical applications in thermal systems and engineering simulations.

 

 

Mr. Talal Taha | Fluid Dynamics | Best Researcher Award

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Mr. Talal Taha | Fluid Dynamics | Best Researcher Award

Mr. Talal Taha , International Islamic University Islamabad , Pakistan.

Mr. Talal Taha is a passionate researcher in applied mathematics and fluid dynamics, with a strong interest in the intersection of artificial intelligence and engineering 🌊🤖. Currently completing his MS in Applied Mathematics from International Islamic University Islamabad 🎓, he has authored multiple publications in top-tier journals by 2025 📚. His research explores machine learning applications to complex flow systems, using tools like MATLAB, Python, and COMSOL Multiphysics 💻. With teaching experience in Islamabad and active participation in scientific conferences, Talal remains committed to academic excellence and collaborative growth 🌟.

Professional Profile

Scopus
Google Scholar

Education and Experience 

🎓 Education:

  • M.S. in Applied Mathematics, International Islamic University Islamabad (2022–2024) – GPA: 3.85/4.00

  • B.S. in Mathematics, Khwaja Fareed University of Engineering and IT (2018–2022) – GPA: 3.55/4.00

💼 Work Experience:

  • 👨‍🏫 Mathematics Teacher, The Smart School Capital Campus, G13-4, Islamabad (Mar 2023 – Sep 2023)

  • 📘 Mathematics Lecturer, Seneta Vision School and College, G-13, Islamabad (Oct 2023 – Nov 2024)

Summary Suitability

Mr. Talal Taha stands as a highly promising researcher and a deserving candidate for the Best Researcher Award, demonstrating outstanding contributions in the fields of Applied Mathematics, Fluid Dynamics, and Artificial Intelligence-driven modeling techniques. His exceptional academic track record, advanced computational expertise, and impactful research publications in international journals reflect his commitment to advancing scientific understanding in engineering and thermal sciences.

Professional Development

Mr. Talal Taha continuously advances his skills through academic training and software mastery 🔍💡. He is proficient in MATLAB for fluid simulations and neural network modeling, Python for data analysis and predictive modeling, and COMSOL for Multiphysics simulations 🔧📊. He has actively participated in international conferences and seminars, including the 9th International Conference on Fluid Mechanics hosted by the Pakistan Academy of Sciences 🌐📅. Additionally, Talal has completed courses in time management and financial literacy, reinforcing both technical and soft skills necessary for academic and professional success 📈🎯.

Research Focus

Talal Taha’s research is primarily focused on fluid dynamics, applied mathematics, and machine learning 🔬🌊🧠. His work involves magnetohydrodynamics (MHD), bioconvection in non-Newtonian fluids, and thermal radiation using artificial intelligence and numerical techniques 🧪🔥. With tools like neural networks and regression modeling, he explores how complex boundary layer flows react to thermal and chemical influences, aiming to optimize real-world engineering systems 🛠️📉. His interdisciplinary approach connects physics, AI, and mathematics to simulate and solve challenges in engineering fluid systems efficiently and innovatively 🤖📐.

Honors and Awards 

🏅 Awarded certificate for short course “Time Management Skills” – 2020
🏆 Certificate of participation in Mathematics Quiz Competition – KFUEIT
💰 Certificate in “National Financial Literacy Program for Youth” – 2021

Publication Top Notes

  • Advanced intelligent computing ANN for momentum, thermal, and concentration boundary layers in plasma electro hydrodynamics Burgers fluid
    Authors: M.I. Khan, R. Ghodhbani, T. Taha, F.A.M. Al-Yarimi, A. Zeeshan, N. Ijaz, N. Ben Khedher
    Journal: International Communications in Heat and Mass Transfer
    Volume: 159, Article ID: 108195, Year: 2024
    Citations: 22

  • Machine learning-based prediction of heat transfer enhancement in Carreau fluids with impact of homogeneous and heterogeneous reactions
    Authors: N. Fatima, R. Ghodhbani, N. Khalid, M.I. Khan, T. Taha, N. Ijaz, N. Saleem
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design
    Volume: 8(2), Pages: 145–158, Year: 2025
    Citations: 12

  • Novel investigation of Burger fluid with gyrotactic microorganisms over a sheet using Levenberg–Marquardt backpropagation (LMBP)
    Authors: S. Abdal, T. Taha, N.A. Shah, S.J. Yook
    Journal: Alexandria Engineering Journal
    Volume: 117, Pages: 403–417, Year: 2025
    Citations: 7

  • Non-Newtonian fluid flow with bioconvection: The role of Rayleigh number and buoyancy over a sheet
    Authors: J.A. Jugnoo, A. ur Rehman, T. Taha
    Journal: Journal of Innovative Research in Mathematical and Computational Sciences
    Volume: 3, Issue TBD, Year: 2024
    Citations: 6

  • Neural networking-based approach for examining heat transfer and bioconvection in Non-Newtonian fluid with chemical reaction over a stretching sheet
    Authors: S. Abdal, T. Taha, L. Ali, R.M. Zulqarnain, S.J. Yook
    Journal: Case Studies in Thermal Engineering
    Volume: 69, Article ID: 106047, Year: 2025
    Citations: 2

  • Machine learning study for three-dimensional magnetohydrodynamic Casson fluid flow with Cattaneo–Christov heat flux using linear regression technique: Application in porous media
    Authors: S. Abdal, T. Taha, N.A. Shah, S.J. Yook
    Journal: Engineering Applications of Artificial Intelligence
    Volume: 156, Article ID: 111159, Year: 2025

  • Effects of thermal radiation on MHD bioconvection flow of non-Newtonian fluids using linear regression-based machine learning and artificial neural networks
    Authors: S.M. Sait, R. Ellahi, N. Khalid, T. Taha, A. Zeeshan
    Journal: International Journal of Numerical Methods for Heat & Fluid Flow
    Volume: 35(5), Year: 2025

  • Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects
    Authors: T. Taha, S. Abdal, L. Ali, R.M. Zulqarnain, S.J. Yook
    Journal: Engineering Science and Technology, an International Journal
    Volume: 66, Article ID: 102071, Year: 2025

Conclusion

Mr. Talal Taha exemplifies the qualities sought in a Best Researcher Award recipient. His work seamlessly integrates theoretical mathematics, fluid mechanics, and modern machine learning approaches to solve complex engineering problems. With a consistent publication record, advanced modeling skills, international collaboration, and a forward-looking research agenda, Talal’s contributions have already made a measurable impact in computational science and are poised to influence future developments across interdisciplinary domains.

Assist. Prof. Dr. Taha Hussein Elghareeb Youssef | Nanofluids | Best Scholar Award

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Assist. Prof. Dr. Taha Hussein Elghareeb Youssef | Nanofluids | Best Scholar Award

Assist. Prof. Dr. Taha Hussein Elghareeb Youssef , Qassim University , Saudi Arabia.

Dr. Taha Hussein Elghareeb Youssef 🎓 is an Assistant Professor at Qassim University 🇸🇦, with a primary affiliation at Suez University’s College of Science 🇪🇬. His research focuses on differential equations, numerical analysis, and advanced thermal systems like PV/T and nanofluids 🔬. He integrates machine learning 🤖 and computational methods to solve complex real-world problems. With a passion for interdisciplinary science and innovation 💡, Dr. Youssef contributes actively to the academic community through publications and collaborations 🌐. He is a dedicated educator and a forward-thinking researcher continually exploring new frontiers in mathematical applications 🚀.

Publication Profile

Scopus
orcid

Education & Experience 

  • 🎓 Ph.D. in Mathematics – Specialized in Differential Equations and Applications

  • 🏫 Assistant Professor – Qassim University, Department of Mathematics

  • 🏛️ Lecturer/Faculty Member – Suez University, College of Science

  • 🧮 Department Role – Mathematics and Computer Science Division

  • 🗓️ Years of Experience – Extensive academic and research experience across Egypt and Saudi Arabia

Suitability Summary

Dr. Taha Hussein Elghareeb Youssef is an exceptional candidate for the Best Scholar Award due to his remarkable contributions to the fields of differential equations, numerical analysis, and applied mathematics. As an Assistant Professor at Qassim University and a faculty member at Suez University, he has significantly advanced research in renewable energy systems, particularly in photovoltaic thermal systems (PV/T), ternary hybrid nanofluids, and supervised machine learning 🧑‍🔬💡.

Professional Development 

Dr. Youssef constantly evolves his professional skillset through active participation in research forums, scholarly publications, and academic networking 📚🌍. He stays updated with emerging technologies in thermal systems, numerical simulations, and supervised machine learning 🧠💻. Engaged in international platforms such as Google Scholar, ORCID, and Scopus 🔗, he maintains a strong digital presence to share knowledge and collaborate globally 🤝. His approach emphasizes lifelong learning and the application of innovative techniques to scientific challenges, reflecting his dedication to professional excellence and impact-driven research 🧪🚀.

Research Focus 

Dr. Youssef’s research falls under the category of Applied Mathematics and Computational Sciences 🧮🖥️. He focuses on the application of differential equations and numerical methods to solve real-world engineering and physical problems 🔍. His work explores hybrid photovoltaic/thermal (PV/T) systems, nanofluids, and heat transfer phenomena 🌡️, integrating these with supervised machine learning for enhanced prediction and control 🧠📊. This interdisciplinary research benefits renewable energy, fluid dynamics, and smart system design ⚙️🔋. By merging theory and application, Dr. Youssef contributes to sustainability and innovation in mathematical modeling 🌍💡.

Publication Top Notes

  • A Hybrid Technique for Space-Time Fractional Parabolic Differential Equations
    Progress in Fractional Differentiation and Applications
    🔗 DOI: 10.18576/pfda/100403
    🧮 Focus: Fractional calculus & hybrid numerical methods

  • New Crossover Lumpy Skin Disease: Numerical Treatments
    Partial Differential Equations in Applied Mathematics
    🔗 DOI: 10.1016/j.padiff.2024.100986
    🐄 Focus: Biomedical modeling using PDEs

  • Numerical Analysis on Performance Evaluation of Photovoltaic Thermal Systems Using Ternary Hybrid Nanofluids
    Results in Engineering
    🔗 DOI: 10.1016/j.rineng.2024.103139
    ☀️ Focus: Renewable energy systems & fluid dynamics

  • Unveiling Potential: Hybrid Nanofluid Strategies for PV/T Efficiency with Trapezoidal Flow Channels
    Results in Engineering
    🔗 DOI: 10.1016/j.rineng.2024.103304
    ⚡ Focus: Electrical performance optimization using hybrid coolants

Conclusion

Dr. Youssef’s outstanding academic achievements, innovative research, and dedication to advancing both theoretical and applied sciences make him an ideal recipient of the Best Scholar Award 🏅. His work is transforming industries and contributing to global sustainability efforts, making him a true asset to the academic and research community.