David Amilo | Applied Mathematics | Young Scientist Award

Published on 02/07/202502/07/2025 by Physicist Particle

Dr. David Amilo | Applied Mathematics | Young Scientist Award

Lecturer/Researcher at Near East University, Cyprus

Dr. David Ikechukwu Amilo 🎓 is an emerging scholar in applied mathematics, with a distinct focus on fractional-order epidemic modeling and network time series analysis. Holding a Bachelor’s degree from Ebonyi State University, Nigeria (2014), and both Master’s (2020) and PhD (2023) from Near East University, Cyprus, his academic journey reflects steady growth in mathematical modeling and computational research. He has developed sophisticated models tackling real-world health issues such as dual-strain infections and alcoholic cardiomyopathy 🧬. With multiple accolades including the 2025 Young Scientist Award 🏅 and a Bronze Medal from the National Mathematics Competition 🥉, he showcases excellence in theoretical development and simulation techniques. Dr. Amilo stands out for his interdisciplinary insights, passion for science, and commitment to impactful research. His scholarly promise and early contributions affirm his rising influence in the scientific and academic world. 🚀📚

Professional Profile

Orcid

Scopus

Google Scholar

🎓 Education

Dr. Amilo’s academic path is marked by consistency, depth, and forward-thinking research. He earned his Bachelor’s in Mathematics from Ebonyi State University in 2014, laying the groundwork for his analytical and abstract reasoning skills 🧠. He later pursued graduate studies at Near East University, Cyprus, where he earned his Master’s degree in 2020, under the mentorship of Assoc. Prof. Dr. Bilgen Kaymakamzade, focusing on fractional-order epidemic systems with vaccination strategies 🧪. He continued under the same advisor for his PhD (2023), exploring advanced modeling of alcoholic cardiomyopathy with network-based time series — a novel fusion of fractional calculus and epidemiological insight 🧬. His education reflects a blend of mathematical rigor and public health relevance, equipping him with advanced tools in mathematical modeling, simulation, and system dynamics 🔬📈.

👨‍🏫 Professional Experience

Though he has not yet held formal academic titles such as Assistant or Associate Professor, Dr. Amilo has already made a strong impression in academic circles through impactful research and recognized participation in prestigious conferences 🌍. His active engagement in scientific projects, coupled with a rapidly growing publication profile, speaks to his dedication and research-centric mindset 🧑‍💻. With peer collaborations and cross-disciplinary modeling work, he is building a solid foundation toward a professorial career. Dr. Amilo is poised to take on supervisory and academic responsibilities, potentially mentoring future scholars in the intricacies of fractional models and their real-world applications 📚🔢. His commitment to continual learning and contribution is evident from his self-motivated pursuit of high-impact research without waiting for formal titles.

🔬 Research Interests

Dr. Amilo’s research interests orbit around fractional-order differential equations, epidemiological dynamics, and network-based simulations. His Master’s and PhD work reveals a fascination with mathematical modeling of complex health systems, particularly those involving multiple interacting variables or co-infections 💉🦠. He is deeply drawn to the practical applications of theoretical models — employing fractional calculus to better understand the progression of diseases such as alcoholic cardiomyopathy or multi-strain epidemics. Recently, he has been venturing into time-series analysis on networks, adding another analytical layer to his work. This multidimensional approach enhances the real-time predictive power of disease spread and control measures 📊🌐. Through computational simulations, he aims to inform health policies and improve response strategies to public health crises. His research bridges pure mathematics with tangible societal impact 🧮❤️‍🩹.

🏆 Awards and Honors

Dr. Amilo’s brilliance has earned him several prestigious recognitions. In 2025, he was honored with the Young Scientist Award by Near East University 🎖️. Earlier, he won the Young Researcher Award (2022) and gained international attention with his victory in the 2023 Computational Modeling and Simulation of FRPsat, at the International Research Awards on Fiber Reinforced Polymer 🌟. These accolades underscore his versatility and potential in both pure and applied mathematical domains. Notably, his Bronze Medal at the NAMCUS (2015) national math competition reflects a long-standing excellence in mathematical problem-solving 🥉. His decorated profile at an early career stage is a testament to his innovation, determination, and relevance in global research dialogues. 📜💡

📚 Publications Top Note

1. Title: A fractional-order mathematical model for lung cancer incorporating integrated therapeutic approaches

Authors: D. Amilo, B. Kaymakamzade, E. Hincal
Year: 2023
Citations: 41
Source: Scientific Reports, Volume 13, Article 12426
Summary: This study introduces a novel fractional-order model for lung cancer progression that integrates multiple treatment strategies including chemotherapy and immunotherapy. The model evaluates the synergistic effect of therapies on tumor suppression and aims to optimize treatment schedules.

2. Title: A mathematical model with fractional-order dynamics for the combined treatment of metastatic colorectal cancer

Authors: D. Amilo, K. Sadri, B. Kaymakamzade, E. Hincal
Year: 2024
Citations: 37
Source: Communications in Nonlinear Science and Numerical Simulation, Volume 130, 107756
Summary: This paper presents a fractional-order model that simulates the dynamics of metastatic colorectal cancer under combined therapies. The model analyzes the role of chemotherapy and immunotherapy in managing tumor spread, highlighting the benefits of fractional calculus in capturing memory effects.

3. Title: A tau-Gegenbauer spectral approach for systems of fractional integro-differential equations with the error analysis

Authors: K. Sadri, D. Amilo, K. Hosseini, E. Hinçal, A.R. Seadawy
Year: 2024
Citations: 16
Source: AIMS Mathematics, Volume 9, Issue 2, Pages 3850–3880
Summary: The authors develop a spectral numerical method based on tau-Gegenbauer polynomials to solve fractional integro-differential systems. The paper includes rigorous error analysis, demonstrating the accuracy and stability of the method.

4. Title: Mathematical Analysis and Dynamical Transmission of (SEIrIsR) Model with Different Infection Stages by using fractional operator

Authors: C. Xu, M. Farman, Y. Pang, Z. Liu, M. Liao, L. Yao, A. Shehzad, D. Amilo
Year: 2024
Citations: 15
Source: International Journal of Biomathematics
Summary: This study models the dynamics of infectious diseases with multiple infection stages using a SEIrIsR framework and fractional operators. The model demonstrates how memory effects influence the transmission and recovery processes.

5. Title: A fractional-order model for optimizing combination therapy in heterogeneous lung cancer: integrating immunotherapy and targeted therapy to minimize side effects

Authors: D. Amilo, C. Izuchukwu, K. Sadri, H.R. Yao, E. Hincal, Y. Shehu
Year: 2024
Citations: 15
Source: Scientific Reports, Volume 14, Article 18484
Summary: This article proposes a fractional-order model targeting heterogeneity in lung cancer cells. It investigates how a combination of immunotherapy and targeted therapy can be optimized to reduce side effects while maintaining efficacy.

6. Title: A fractional-order model for nosocomial infection caused by pseudomonas aeruginosa in Northern Cyprus

Authors: C. Bagkur, D. Amilo, B. Kaymakamzade
Year: 2024
Citations: 14
Source: Computers in Biology and Medicine, Volume 171, 108094
Summary: The paper introduces a fractional-order model to understand and control hospital-acquired infections caused by Pseudomonas aeruginosa. It evaluates the dynamics of infection transmission and antibiotic resistance in clinical settings.

7. Title: Effect of Lactuca sativa supplemented diet on Poloxamer 407 induced hyperlipidemic albino rats (Rattus norvegicus)

Authors: V.I. Ayo, M.A. Adondua, A.E. Morayo, J. Ekele, D. Amilo, D.A. Ochuele, et al.
Year: 2023
Citations: 10
Source: Asian Journal of Natural Product Biochemistry, Volume 21, Pages 67–78
Summary: This experimental study explores the lipid-lowering potential of Lactuca sativa in rats with induced hyperlipidemia. It shows that the plant-based diet has a significant impact on improving lipid profiles.

8. Title: Fractional SVIR model for COVID-19 under Caputo derivative

Authors: N. Gokbulut, D. Amilo, B. Kaymakamzade
Year: 2021
Citations: 9
Source: Journal of Biometry Studies, Volume 1, Issue 2, Pages 58–64
Summary: This paper proposes a SVIR (Susceptible–Vaccinated–Infected–Recovered) model using Caputo fractional derivatives to simulate COVID-19 spread. The model emphasizes the role of fractional order in accurately reflecting pandemic memory and control measures.

9. Title: A fractional-order two-strain epidemic model with two vaccinations

Authors: B. Kaymakamzade, E. Hincal, D. Amilo
Year: 2021
Citations: 6
Source: AIP Conference Proceedings, Volume 2325, Article 1
Summary: This model investigates the dynamics of two co-existing viral strains and their control via dual vaccination strategies. The fractional component captures latency and immunity duration, providing better insights into epidemic management.

10. Title: A generalized Chebyshev operational method for Volterra integro-partial differential equations with weakly singular kernels

Authors: S.S.K. Sadri, D. Amilo, E. Hincal, K. Hosseini
Year: 2024
Citations: 5
Source: Heliyon, Volume 10, Issue 5, e27260
Summary: This work introduces a novel operational matrix method using generalized Chebyshev polynomials for solving complex Volterra integro-partial differential equations. It efficiently handles weak singularities and demonstrates excellent convergence.

✅ Conclusion

In summary, Dr. David Ikechukwu Amilo is a promising mathematician whose work elegantly weaves together theory, computation, and real-world application 🔗. His academic trajectory, shaped by deep curiosity and precision, has led to impactful research on complex health models using fractional calculus. Backed by notable awards and a strong educational foundation, Dr. Amilo is not just a researcher but an innovator poised to lead in applied mathematics and health modeling 📈🌍. With continued mentorship and institutional support, his potential to shape new frontiers in mathematical epidemiology and dynamic systems is immense. His passion for problem-solving, evident early on in competitions and now in cutting-edge simulations, sets the tone for a meaningful and inspiring academic journey ahead. 💼📘✨

Jeongho Ahn | Applied Mathematics | Best Researcher Award

Published on 24/04/202524/04/2025 by Physicist Particle

Dr. Jeongho Ahn | Applied Mathematics | Best Researcher Award

Full Professor at Arkansas State University, United States

Dr. Jeongho Ahn is a full professor in the Department of Mathematics and Statistics at Arkansas State University (ASU) since Fall 2021. He has been part of ASU since 2008, serving in various roles, including associate and assistant professor. Dr. Ahn earned his Ph.D. in Mathematics from The University of Iowa in 2003. His research focuses on applied mathematics, numerical analysis, partial differential equations, and dynamic contact problems. He is known for his work on finite element methods and complementarity problems. Dr. Ahn is dedicated to teaching and research with a strong commitment to the advancement of mathematics. 📚🧑‍🏫🔢

Professional Profile:

Orcid

Scopus

Education and Experience

Ph.D. in Mathematics from The University of Iowa, USA (2003) 🎓
M.S. in Mathematics from Kyung Hee University, South Korea (1991) 🇰🇷
B.S. in Mathematics from Kyung Hee University, South Korea (1989) 🇰🇷

Teaching Experience:

Full Professor, Department of Mathematics and Statistics, ASU (2021–Present) 📚
Associate Professor, ASU (2015–2021) 🧑‍🏫
Assistant Professor, ASU (2009–2015) 🔢
Visiting Assistant Professor, ASU (2008–2009) 🌍

Professional Development

Dr. Jeongho Ahn has continuously advanced his academic and professional career, establishing himself as a leader in applied mathematics. With years of experience, his teaching spans topics such as algebra, calculus, differential equations, and numerical analysis. He has worked extensively on research in dynamic contact problems and finite element methods, significantly contributing to the development of mathematical theories. Dr. Ahn remains engaged in further professional development through his active research in numerical methods, participating in conferences and workshops to share insights and innovations in applied mathematics. His work fosters collaboration in mathematical and engineering fields. 🏫🔬👨‍🔬

Research Focus

Dr. Jeongho Ahn’s research primarily revolves around applied mathematics, where he explores numerical analysis, partial differential equations (PDEs), and dynamic contact problems. His expertise includes the development of finite element methods used to solve complex equations in various applications. He works on complementarity problems and differential variational inequalities, addressing real-world challenges in engineering, physics, and economics. By advancing computational techniques, Dr. Ahn aims to improve mathematical models in diverse fields, making significant strides in mathematical modeling and problem-solving methodologies that have broad implications in science and technology. 📊⚙️💻🧮

Awards and Honors

Full Professor, Department of Mathematics and Statistics, ASU (2021–Present) 🏅
Associate Professor, ASU (2015–2021) 🌟
Assistant Professor, ASU (2009–2015) 🎓

Publication Top Notes

Detachment Waves in Frictional Contact: Analysis and Simulations of a Two-Mass System

- Citation: Ahn, J. (2024). Detachment waves in frictional contact: analysis and simulations of a two-mass system. Nonsmooth Problems with Publications in Mathematics, Banach Center Publications.
- Year: 2024
- Details: This paper likely explores detachment waves in frictional contact between two masses. It may involve the modeling and simulation of how one mass separates from another due to dynamic forces and friction.

A Generalized Duffing Equation with the Coulomb’s Friction Law and Signorini-Type Contact Conditions

- Citation: Ahn, J. (2023). A generalized Duffing equation with the Coulomb’s friction law and Signorini-type contact conditions. Nonlinear Analysis: Real World Applications.
- Year: 2023
- Details: This paper generalizes the Duffing oscillator equation by including Coulomb friction and Signorini contact conditions, both of which introduce nonsmooth behaviors into the system. It explores how these factors influence nonlinear oscillations and stability.

A Spring-Beam System with Signorini’s Condition and the Normal Compliance Condition

- Citation: Ahn, J. (2023). A spring-beam system with Signorini’s condition and the normal compliance condition. International Journal of Numerical Analysis and Modeling.
- Year: 2023
- Details: This study investigates a spring-beam system under Signorini’s non-penetration condition and normal compliance, examining how these boundary conditions affect the system’s deformation and response to applied forces.

Nonlinear Thermoviscoelastic Timoshenko Beams with Dynamic Frictional Contact

- Citation: Ahn, J. (2022). Nonlinear thermoviscoelastic Timoshenko beams with dynamic frictional contact. Applied Analysis.
- Year: 2022
- Details: The paper addresses Timoshenko beams that exhibit nonlinear thermoviscoelastic behavior and experience dynamic frictional contact. The study likely combines thermal, mechanical, and viscoelastic effects to model beam deformations under various dynamic conditions.

A Rod-Beam System with Dynamic Contact and Thermal Exchange Condition

- Citation: Ahn, J. (2021). A rod-beam system with dynamic contact and thermal exchange condition. Applied Mathematics and Computation.
- Year: 2021
- Details: This paper discusses the interaction between a rod and a beam, incorporating dynamic contact and thermal exchange conditions. The study likely explores how thermal effects influence the mechanical response of the system when subject to contact forces.

Conclusion

Dr. Jeongho Ahn’s career is defined by a remarkable blend of academic leadership, cutting-edge research, and teaching excellence. His work in numerical methods, finite element analysis, and applied mathematics has had a broad impact across multiple domains, including engineering, materials science, and economics. He is not only advancing mathematical theory but also developing practical tools that are shaping the future of these fields.

Given his long-standing academic contributions, innovative research, and commitment to excellence in education, Dr. Jeongho Ahn is exceptionally well-qualified for the Best Researcher Award. His work continues to influence both the academic world and the practical, real-world application of mathematical methods, marking him as a leading figure in his field.

Jalil Manafian | Applied Mathematics | Best Researcher Award

Published on 29/01/202506/02/2025 by Physicist Particle

Prof. Jalil Manafian | Applied Mathematics | Best Researcher Award

Numeical analysis at University of Tabriz

Short Bio

Dr. Jalil Manafian is a dedicated researcher and educator specializing in applied mathematics, with a focus on numerical methods and analytical techniques for solving differential equations. With a Ph.D. from Tabriz University and an M.Sc. and B.Sc. from Amirkabir University of Technology, he has contributed extensively to research in mathematical modeling, numerical linear algebra, and expansion methods. His work spans a variety of advanced mathematical techniques, including homotopy analysis, wavelet methods, and integral transforms. As a lecturer and researcher, he has guided numerous students and contributed to the advancement of computational mathematics.

Professional Profile

- Orcid

Educational Background

Ph.D. in Applied Mathematics, Tabriz University
Thesis: “Modified expansion methods for solving some partial differential equations”
Supervisor: Prof. Mehrdad Lakestani
M.Sc. in Applied Mathematics, Amirkabir University of Technology
Thesis: “Application of semi-analytical method for solving Volterra integral equation”
Supervisor: Prof. Mehdi Dehghan
B.Sc. in Applied Mathematics, Amirkabir University of Technology

Professional Experience

- Dr. Jalil Manafian has extensive experience in academia and research in applied mathematics. He served as a Lecturer in the Mathematics Department at Islamic Azad University, Ahar Branch (2011-2012) and in the Science Department at Islamic Azad University, Heris Branch (2011-2012). Additionally, he has lectured at Tabriz University. His teaching portfolio includes engineering mathematics, numerical analysis, linear algebra, ordinary differential equations, probability and statistics, computational mathematics, and applied mathematics at both undergraduate and graduate levels.

Author Metrics

Dr. Manafian has authored multiple research papers in high-impact journals, focusing on numerical and analytical methods for solving complex differential equations. His work is widely cited in mathematical and computational research communities, reflecting his significant contributions to the field.

Research Interests

- Numerical linear algebra, numerical analysis, finite difference method
- Variational calculus, variational iteration method
- Homotopy analysis method, homotopy perturbation method
- Wavelet analysis method, optimal homotopy asymptotic method
- Differential transform method, integral transforms
- Bilinear method, Hirota method, Hirota bilinear method
- Expansion methods: Exp-function method, (G’/G)-expansion method, Laplace Elzaki transform method, tan(∅)-expansion method, tanh(∅)-expansion method, tanh-coth method, radial basis function, block pulse functions
- Extended trial equation method, inverse scattering method
- Riccati-Bernoulli method, Lie symmetry method
- Energy systems

Publication Top Noted

1. 1. - “Abundant soliton wave solutions for the (3+1)-dimensional variable-coefficient nonlinear wave equation in liquid with gas bubbles by bilinear analysis”
      Modern Physics Letters B, 2022 – DOI: 10.1142/S0217984921505655
    - “Abundant soliton wave solutions and the linear superposition principle for generalized (3+1)-D nonlinear wave equation in liquid with gas bubbles by bilinear analysis”
      Results in Physics, 2022 – DOI: 10.1016/j.rinp.2021.105066
    - “N‐Lump to the (2+1)‐Dimensional Variable‐Coefficient Caudrey–Dodd–Gibbon–Kotera–Sawada Equation”
      Complexity, 2022 – DOI: 10.1155/2022/4383100
    - “New strategic method for fractional mitigating internet bottleneck with quadratic–cubic nonlinearity”
      Mathematical Sciences, 2021 – DOI: 10.1007/s40096-020-00373-2
    - “Lump and Interaction Solutions to the (3+1)-Dimensional Variable-Coefficient Nonlinear Wave Equation with Multidimensional Binary Bell Polynomials”
      Journal of Function Spaces, 2021 – DOI: 10.1155/2021/4550582

Conclusion

Prof. Jalil Manafian is a strong candidate for the Best Researcher Award due to his high-quality research, impactful publications, and expertise in applied mathematics. His significant contributions to numerical analysis, differential equations, and computational techniques make him a notable figure in his field.

To further strengthen his candidacy, increased international collaborations, industry applications, and research leadership roles would enhance his overall research impact. Nonetheless, his strong publication record and mathematical advancements make him a deserving nominee for the award.