Mr. Anthony, Kodzo Hunkpe | Mathematical modelling | Pioneer Researcher Award |

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Mr. Anthony, Kodzo Hunkpe | Mathematical modelling | Pioneer Researcher Award

Mphil candidates at Kwame Nkrumah University of Science and Technology (KNUST), Ghana.

Mr. Anthony Kodzo Hunkpe is a professionally trained mathematics tutor and a budding researcher in applied mathematics. With over six years of teaching experience across various educational levels in Ghana, he combines a passion for mathematics education with research-driven innovation. His commitment to empowering communities through knowledge and technology reflects his dual focus on academic excellence and social impact.

Professional Profile

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🎓 Education 

Anthony is currently pursuing an MPhil in Applied Mathematics (Biocomputational focus) at the Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He holds a Bachelor of Science degree in Mathematics from the University of Energy and Natural Resources, Sunyani, and a Diploma in Basic Education from Jasikan College of Education. His academic journey reflects a consistent dedication to deepening his mathematical knowledge and applying it to practical societal challenges.

💼 Experience 

He is currently a Core and Elective Mathematics Tutor at SDA Senior High School in Sunyani, where he has been serving since 2019. Previously, he worked as a Basic School Teacher under the Ghana Education Service and also served as an Administrative Assistant (Intern) at St. Francis College of Education. His classroom experience is reinforced by administrative competencies and project coordination skills gained through voluntary work with organizations like Technology Without Borders in Ghana and Uganda.

🔬 Research Interests

Anthony’s research is centered on using mathematical modeling to solve real-world problems. His MPhil thesis focuses on modeling the transmission dynamics of Cholera and Typhoid. Other ongoing research includes a model on cybercrime control strategies and an investigation into the impact of climate change on malaria transmission in Africa. His work reflects an interdisciplinary approach that integrates health, environment, and technology using mathematical tools.

🏆 Honors & Awards

In recognition of his commitment to community development, Anthony received the Humanitarian Award Ghana in October 2020 for his role in borehole regeneration initiatives supporting SDG 6: Clean Water and Sanitation. He also holds Qualified Teacher Status from the Department of Education, England, and various professional certifications in cybersecurity, safeguarding, and peace education.

Top Noted Publications:

Title: Mathematical assessment of the optimal intervention strategy for Cercospora fungal disease in orange plants
Authors: O.F. Lawal, A.K. Hunkpe, A. Abidemi, P.O. Ogunjobi
Citations: 0
Index: Franklin Open
Year of Publication: 2025

Conclusion:

Mr. Anthony Kodzo Hunkpe is an emerging scholar whose blend of mathematics education, applied research, and community service positions him as a promising candidate for pioneering research recognition. His trajectory reveals a commitment to using mathematics not just as an academic subject, but as a transformative tool for societal progress. With ongoing research and growing international exposure, Anthony continues to make impactful contributions at the intersection of science, education, and humanitarian service

Dr Francesco Romor | Numerical analysis | Best Researcher Award |

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Dr. Francesco Romor | Numerical analysis | Best Researcher Award

Postdoctoral researcher , at Weierstrass Institute,Germany

Dr. Francesco Romor is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He works within the Numerical Mathematics and Scientific Computing research group led by Prof. Volker John. His expertise lies in advanced computational methods, scientific machine learning, and mathematical modeling with applications spanning from fluid dynamics to medical image analysis. Known for combining mathematical rigor with modern machine learning techniques, Dr. Romor is establishing himself as a leading voice in the next generation of scientific computing experts.

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Education

Dr. Romor earned his Ph.D. in Mathematical Analysis, Modeling, and Applications from the International School for Advanced Studies (SISSA), Trieste, Italy, in 2023. His doctoral research, supervised by Prof. Gianluigi Rozza, focused on “Nonlinear Parameter Space and Model Order Reductions enhanced by Scientific Machine Learning.” He previously obtained a Master’s degree in Mathematics (2019) and a Bachelor’s degree in Mathematics (2017), both with the highest honors (110/110 cum laude) from the University of Trieste. His academic path reflects a strong and consistent foundation in theoretical and applied mathematics.

Experience

Since November 2023, Dr. Romor has been serving as a postdoctoral researcher at WIAS, where he collaborates closely with experts such as Dr. Alfonso Caiazzo. In 2023, he completed a short research visit to the Massachusetts Institute of Technology (MIT) as part of the MISTI MIT-Italy FVG Project, working with Prof. Youssef Marzouk. His professional engagements reflect a growing international footprint and recognition in high-level research environments.

Research interest

Dr. Romor’s research centers on reduced-order modeling, nonlinear parameter space reduction, scientific machine learning, and high-dimensional numerical simulations. He is particularly interested in hybridizing classical numerical methods with deep learning tools, such as convolutional autoencoders and graph neural networks, to solve complex partial differential equations (PDEs) efficiently. His recent work extends to data assimilation in biomedical applications, including modeling aortic coarctation using shape registration and neural networks. These innovations push the boundary of how science and AI can co-evolve for real-world problem-solving.

Awards

While specific awards are not listed, Dr. Romor’s profile includes significant professional recognitions. These include being selected for a prestigious research visit to MIT and multiple invitations to speak at international conferences such as ECCOMAS, SIAM CSE, and AICOMAS. Such invitations are indicators of esteem within the scientific community and recognition of his impactful contributions.

Publications

1. Friedrichs’ systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Authors: Francesco Romor, Davide Torlo, Gianluigi Rozza
Journal: Journal of Computational Physics
Article ID: 113915
Year: 2025

2. Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Computational Physics
Volume: 524, Article ID: 113729
Year: 2025

3. Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions
Authors: Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Computer Methods in Applied Mechanics and Engineering
Volume: 423, Article ID: 116823
Year: 2024

4. A local approach to parameter space reduction for regression and classification tasks
Authors: Francesco Romor, Marco Tezzele, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 99, Issue: 3, Article ID: 83
Year: 2024

5. Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 94, Article ID: 74
Year: 2023
DOI: 10.1007/s10915-023-02128-2

Conclusion

In summary, Dr. Francesco Romor exemplifies the qualities of a forward-thinking and high-impact researcher in computational science. With a strong mathematical foundation, international experience, innovative applications of machine learning, and a robust publication record, he is well-positioned for prestigious research honors and academic recognition. His work not only advances numerical methods but also connects disciplines—from automotive engineering to biomedical modeling—making him a valuable asset to the global research community.

Assoc. Res. Dr Yueming Zhong | Algebraic Combinatorics | Best Researcher Award |

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Assoc. Res. Dr Yueming Zhong | Algebraic Combinatorics | Best Researcher Award

Associate Researcher, at Hainan University, China.

Assoc. Res. Dr. Yueming Zhong is a dedicated researcher in algebraic combinatorics, with expertise in constant term identities, Ehrhart theory, and combinatorial enumeration. He has made significant contributions to the field through high-impact publications and research projects. Currently an Associate Researcher at Hainan University, China, he actively collaborates with leading mathematicians and mentors young researchers.

Professional Profile

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Education 🎓

Dr. Zhong earned his Ph.D. in Mathematics (2018–2022) and M.S. in Mathematics (2015–2018) from Capital Normal University, under the supervision of Prof. Guoce Xin. He completed his B.S. in Mathematics at Xiangtan University (2009–2013), laying the foundation for his research in combinatorial mathematics.

Professional Experience đź’Ľ

Currently serving as an Associate Researcher at Hainan University (2025–Present), Dr. Zhong is actively engaged in research, teaching, and mentoring. Previously, he was a Postdoctoral Researcher at Central South University (2022–2024), where he worked closely with Prof. Yue Zhou on algebraic combinatorics and combinatorial structures.

Research Interests 🌍

His research primarily revolves around algebraic combinatorics, focusing on constant term identities, combinatorial enumeration, and polyhedral combinatorics. His work provides mathematical insights into combinatorial structures, proving key conjectures and advancing theoretical frameworks in the field.

Awards & Honors 🏆

Dr. Zhong has been recognized for his research excellence, securing prestigious grants, including the National Natural Science Foundation of China (NSFC) Youth Project and the Hunan Provincial Natural Science Foundation Youth Project (2025–2027). His growing influence is reflected in his peer-review contributions for leading mathematical journals.

Top Noted Publications đź“š

The Constant Term Algebra of Type A: The Structure – Advances in Mathematics, 2025.
Authors: Guoce Xin, Chen Zhang, Yue Zhou, Yueming Zhong.
DOI: 10.1016/j.aim.2025.110154

On Magic Distinct Labellings of Simple Graphs – Journal of Symbolic Computation, 2023.
Authors: Guoce Xin, Xinyu Xu, Chen Zhang, Yueming Zhong.
DOI: 10.1016/j.jsc.2023.02.005

A Combinatorial Proof of the Unimodality and Symmetry of Weak Composition Rank Sequences – Annals of Combinatorics, 2023.
Author: Yueming Zhong.
DOI: 10.1007/s00026-022-00624-0

Proving Some Conjectures on Kekulé Numbers for Certain Benzenoids by Using Chebyshev Polynomials – Advances in Applied Mathematics, 2023.
Authors: Guoce Xin, Yueming Zhong.
DOI: 10.1016/j.aam.2022.102479

A Combinatorial Proof of the Parity Unimodality of the (m,n)-Rational q-Catalan Polynomial for m=3 – Applied Mathematics and Computation, 2023.
Authors: Yue Zhou, Yueming Zhong.
DOI: 10.1016/j.amc.2022.127616

On Parity Unimodality of q-Catalan Polynomials – Electronic Journal of Combinatorics, 2020.
Authors: Yueming Zhong, Guoce Xin.
DOI: 10.37236/8870

Conclusion

Yueming Zhong is a strong candidate for the Best Researcher Award, especially in the field of algebraic combinatorics. His consistent high-impact publications, research funding, and academic collaborations make him a competitive nominee. However, gaining broader recognition through awards, applied research contributions, and leadership roles in academic communities could further enhance his candidacy.