David Amilo | Applied Mathematics | Young Scientist Award

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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 

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🎓 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. 💼📘✨

Nagaraju Gajjela | Applied Mathematics | Excellence in Research

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Dr. Nagaraju Gajjela | Applied Mathematics | Excellence in Research

Assistant Professor at SR University, India

Dr. G. Nagaraju 🎓 is a seasoned academician in Applied Mathematics with over 18 years of teaching and research experience 📚. He is currently serving as an Assistant Professor at SR University, Warangal 🏫. He has also contributed globally, teaching at Amity University (Tashkent 🇺🇿) and Lebanese French University (Erbil 🇮🇶). His dedication to quality education, innovative teaching, and mathematical problem-solving is commendable ✨. With a passion for continuous academic growth 🔍, Dr. Nagaraju maintains active research profiles on Scopus and ORCID and is known for his student-friendly approach 📖 and global teaching exposure 🌍.

Professional Profile:

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Scopus

🔹 Education & Experience 

📘 Education:

🧑‍🏫 Experience:

  • 📍 Assistant Professor, SR University, Warangal (2022–Present)

  • 🌍 Associate Professor, Amity University, Tashkent Campus, Uzbekistan (Sep 2021–Jan 2022)

  • 🏫 Assistant Professor, ICFAI Foundation, Hyderabad (Oct 2020–Aug 2021)

  • 🌏 Assistant Professor, Lebanese French University, Erbil, Iraq (Sep 2018–Jul 2020)

  • 🎓 Assistant Professor, GITAM University, Hyderabad Campus (Jun 2010–Aug 2018)

  • 📚 Half-Time Teaching Assistant, NIT Warangal (Jan 2007–Apr 2010)

  • 🏫 Assistant Professor, S.R. Engineering College, Warangal (Sep 2004–Dec 2006)

🔹 Professional Development 

Dr. Nagaraju is deeply committed to his professional development 📈 through both academic and global exposure. His international teaching assignments in Uzbekistan 🇺🇿 and Iraq 🇮🇶 enriched his pedagogical style with cross-cultural insights 🌐. He has undertaken diverse academic roles including department coordinator, research guide, and curriculum developer 📘. As a tech-savvy educator 💻, he has managed departmental websites and taken charge of e-learning initiatives 📲. Through workshops, seminars, and continuous research contributions, he remains up-to-date with recent developments in mathematical sciences and education 🔬📊, contributing meaningfully to academic communities worldwide 🌍.

🔹 Research Focus 

Dr. Nagaraju’s research focuses on Applied Mathematics 🧠🧮, particularly in developing analytical and numerical methods for solving complex mathematical models that appear in physics, engineering, and real-world applications 🔍⚙️. His work emphasizes problem-solving, mathematical modeling, and simulation techniques to bridge theoretical knowledge with practical outcomes 🧾📊. His international experience has allowed him to integrate global mathematical practices into his research 🌍. He continually works on refining existing mathematical frameworks while mentoring students and publishing in peer-reviewed journals 📚📈. His research supports innovation and interdisciplinary collaboration across scientific and technical fields 🤝.

🔹 Awards & Honors 

🏅 Awards & Honors:

  • 🥇 Recognized as an Outstanding Faculty Member at GITAM University

  • 🏆 Appointed AMC Counselor and X-Learn Department In-charge at GITAM

  • 🌐 International Faculty Tenure at Amity University Tashkent and Lebanese French University Erbil

  • 💻 Recognized for excellence in e-learning and department web coordination

Publication Top Notes

🔬 1. Impact on Induced Magnetic Field Over a Second-Grade Hybrid Nanofluid in Unsteady Thermal Systems
📅 Case Studies in Thermal Engineering (May 2025)
📌 DOI: 10.1016/j.csite.2025.105956
🔍 Key Concepts:
  • Hybrid nanofluids
  • Second-grade fluid models
  • Induced magnetic fields
  • Unsteady heat transfer dynamics
    🧠 Contribution: Examines how time-dependent thermal systems interact with non-Newtonian (second-grade) hybrid nanofluids under magnetic fields. Relevant for optimizing heat exchangers, reactors, and advanced cooling systems.
🔍 2. Entropy-Optimized Flow of Couple Stresses in a Porous Inclined Pipe with Uniform Magnetic Field and Mixed Convection
📅 Physica Scripta (Oct 2024)
📌 DOI: 10.1088/1402-4896/ad723b
🔍 Key Concepts:
  • Couple stress fluid flow
  • Porous medium
  • Entropy optimization
  • Mixed convection and magnetic field
    🧠 Contribution: Focuses on minimizing entropy generation in couple stress fluid flows through porous media, useful in engineering systems with efficiency constraints (e.g., filtration, biomedical applications).
🌡️ 3. MHD Maxwell Dusty Fluid in Thermally Stratified Radiative Flow with Temperature-Dependent Thermal Conductivity and Cattaneo-Christov Model
📅 Heliyon (May 2024)
📌 DOI: 10.1016/j.heliyon.2024.e30355
🔍 Key Concepts:
  • MHD flow
  • Dusty fluid and thermal radiation
  • Stratified systems
  • Non-Fourier heat conduction (Cattaneo-Christov)
    🧠 Contribution: Integrates dusty fluid dynamics with more realistic heat conduction models, especially in astrophysical or industrial particulate-laden flows.
🔥 4. Heat Transfer in Couple Stress Two-Fluid Flow Model: Effects of Modified Heat Flux, Electromagnetic Force, and Uneven Heat Source/Sink
📅 Computational Thermal Sciences (2023)
📌 DOI: 10.1615/ComputThermalScien.2023045515
🔍 Key Concepts:
  • Two-fluid flow model
  • Modified Fourier’s law
  • Electromagnetic influence
  • Non-uniform heating
    🧠 Contribution: Analyzes heat transfer when two interacting fluids (possibly miscible) are exposed to electromagnetic fields and varying heat sources—vital for dual-phase reactors or blood flow analysis.
🌪️ 5. Study of Different Heating Effects on Two-Phase Flow of Magnetized Couple Stresses Over a Permeable Stretching Cylinder with Velocity Slip and Radiation
📅 International Journal of Applied and Computational Mathematics (Oct 2022)
📌 DOI: 10.1007/s40819-022-01444-9
🔍 Key Concepts:
  • Two-phase couple stress flow
  • Magnetic field + radiation effects
  • Velocity slip
  • Stretching cylinder geometry
    🧠 Contribution: Combines boundary layer flow analysis with slip conditions—important in textile coating, polymer extrusion, and microfluidics.

Conclusion 

Dr. G. Nagaraju exhibits sustained, high-quality research output in a specialized and impactful domain of applied mathematics, backed by solid international teaching and research experience. His work in thermodynamics, MHD flows, and entropy optimization is scientifically relevant, technically sound, and globally recognized.

🔹 Verdict: Highly Recommended for the Best Researcher / Excellence in Research Award.
🔹 Reason: Demonstrated excellence through volume, diversity, impact, and continuity of research aligned with global scientific challenges in energy, fluid mechanics, and applied mathematics.

Yajuan Wang | Applied Mathematics | Best Researcher Award

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Ms. Yajuan Wang | Applied Mathematics | Best Researcher Award

Doctoral candidate at Central South University, China

Wang yajuan (Wang Yajuan) is a dedicated researcher in applied mathematics, specializing in inverse scattering problems. Born on August 22, 1995, in Qingyang, Gansu Province, she is currently pursuing a Ph.D. at Central South University under the supervision of Prof. Deng Youjun. She holds a master’s degree from Lanzhou University and a bachelor’s degree from Shenyang Normal University. Her research focuses on mathematical physics inverse problems, particularly fractional-order problems. With publications in prestigious journals like SIAM Journal on Applied Mathematics and Journal of Computational Physics, she has demonstrated her expertise. She is also a recipient of multiple national scholarships. 🎓📚

Professional Profile

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Education & Experience 📖🔬

✅ Bachelor’s Degree (2014.09–2018.06) – Shenyang Normal University (Mathematics & Applied Mathematics)
✅ Master’s Degree (2018.09–2021.06) – Lanzhou University (Mathematical Physics Inverse Problems – Fractional Order) 🧮
Advisor: Prof. Wei Ting
✅ Ph.D. Candidate (2021.09–Present) – Central South University (Inverse Scattering Problems) 🎓
Advisor: Prof. Deng Youjun

Professional Development 📈🔍

Wang yajuan has shown remarkable progress in applied mathematics, particularly in inverse problems and computational mathematics. Her doctoral research delves into inverse scattering theory, focusing on reconstructing anomalies using passive measurements. She has co-authored high-impact research published in SIAM Journal on Applied Mathematics and Journal of Computational Physics. She is skilled in numerical methods for solving complex mathematical physics problems. Beyond research, she actively participates in academic discussions and mathematical modeling, demonstrating strong analytical and problem-solving abilities. She is passionate about mentoring students and continuously expanding her expertise in computational techniques. 💡📊

Research Focus 🔬📊

Wang yajuan’s research primarily falls under Mathematical Physics & Computational Mathematics. She specializes in:
📌 Inverse Problems & Fractional Order Analysis – Understanding the mathematical structure of inverse problems in physics.
📌 Electromagnetic & Elastic Wave Scattering – Developing mathematical and numerical methods for subwavelength resonances in high-contrast media.
📌 Numerical Methods for Inverse Scattering – Constructing innovative algorithms to identify anomalies in complex media.
📌 Applied Mathematics & Computational Simulations – Utilizing computational techniques to solve real-world physical problems.
Her contributions enhance the theoretical and numerical framework for practical applications in medical imaging, geophysics, and material sciences. 🏗️📡

Awards & Honors 🏆🎖️

🎖 National Encouragement Scholarship (2015-2016)
🎖 National Encouragement Scholarship (2016-2017)
🥇 First-Class Scholarship (2018)
🥈 Second-Class Scholarship (2021)
🥈 Second-Class Scholarship (2022)
🏅 National Scholarship (2024)

Publication Top Notes

  • “Mathematical Theory and Numerical Method for Subwavelength Resonances in Multi-Layer High Contrast Elastic Media”
    Citation: Deng, Y., Kong, L., Li, H., Liu, H., & Zhu, L. (2025). Mathematical theory and numerical method for subwavelength resonances in multi-layer high contrast elastic media. Journal of Computational Physics, 113924.
    Publication Year: 2025
    DOI: 10.1016/j.jcp.2025.113924
  • “Identifying Active Anomalies in a Multilayered Medium by Passive Measurement in EIT”
    Citation: Deng, Y., Liu, H., & Wang, Y. (2024). Identifying active anomalies in a multilayered medium by passive measurement in EIT. SIAM Journal on Applied Mathematics, 84(4), 1362–1384.
    Publication Year: 2024
    DOI: 10.1137/23M1599458