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. 💼📘✨

Hocine Alla | Applied Mathematics | Excellence in Research

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Prof. Dr. Hocine Alla | Applied Mathematics | Excellence in Research

Professor at University of Sciences and Technology of Oran, Algeria

Professor Alla Hocine is a dedicated Algerian academic specializing in applied mathematics and interdisciplinary sciences. With a strong educational foundation and over three decades of teaching and research experience, he serves as a Professeur Chercheur at the University of Science and Technology of Oran (U.S.T.O). Fluent in Arabic, French, and English 🗣️, he seamlessly bridges scientific knowledge across languages and cultures. His expertise spans numerical methods, asymptotic analysis, and programming with Matlab 💻. His academic journey—from a Diploma in Mathematics to a Doctorate in Applied Mathematics—reflects consistent scholarly commitment. His research interests include biomechanics, fluid-solid interface mechanics, and perturbation theory 🔬. Known for teaching rigor and departmental leadership, he contributes actively to both pedagogy and scientific advancement. Alla Hocine is a key figure in Algeria’s mathematical and physical sciences community, empowering students and researchers alike through his multidisciplinary vision.

Professional Profile 

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🎓 Education

Professor Alla Hocine’s academic roots are deeply grounded in mathematics and applied computing. He earned a Diplôme d’Études Supérieures (DES) in Mathematics in 1989, followed by a Magister in Informatics and Applied Mathematics from USTO in 1996. This path culminated in a Doctorate d’État in Applied Mathematics awarded in July 2006 🎓. His educational progression highlights a deepening interest in the convergence between numerical methods, mathematical modeling, and real-world applications. Hocine’s academic achievements reflect not only technical mastery but also a dedication to tackling complex problems in science and engineering. With a keen eye for theoretical and applied aspects of differential equations and perturbation theory, his education has become the backbone of a vibrant career that continues to influence new generations of scientists and researchers.

🏫 Professional Experience

Professor Hocine’s career spans a rich tapestry of academic and administrative roles. He began as a secondary school teacher (1989–1998), shaping young minds in mathematics, before transitioning to higher education as a Maître Assistant Associé (1990–1993) and later a Chargé de Cours from 1998 onwards. He played an instrumental role as Adjoint Chef de Département de Physique in 2005–2006 🧑‍🏫. His teaching portfolio is extensive, covering subjects like Mathematical Analysis, Algebra, Asymptotic Development, Numerical Methods, and Matlab Programming 💡. Through decades of service at the Faculty of Sciences at USTO, he has not only disseminated knowledge but also contributed to departmental governance, mentoring, and curriculum development. His multidimensional expertise makes him a respected mentor and innovator in Algerian academia.

🔬 Research Interests

Professor Hocine’s research traverses multiple fascinating domains. His core interests lie in applied mathematics, particularly partial differential equations (EDP) and perturbation theory. In addition, his passion extends into biomechanics, where mathematical models meet human biology 🧠🦴. He explores fluid-solid interfaces, a vital area in fluid mechanics where he investigates dynamic behaviors and material interactions 🌊⚙️. Furthermore, his experience in computer science reinforces his ability to simulate, analyze, and solve complex systems through algorithmic solutions and software tools like Matlab. This unique intersection of mathematics, physics, and computational modeling makes his research both theoretically rich and practically relevant—especially in biomedical and engineering contexts. Professor Hocine continues to push boundaries through interdisciplinary collaboration and methodological precision.

🏅 Awards and Honors

While the profile does not specify formal awards, Professor Hocine’s long-standing service and academic achievements stand as a testament to his excellence 🏆. His appointment as Adjoint Chef de Département, along with his sustained progression from assistant to full professor, reflect recognition by peers and institutional leadership. His ability to teach in three languages and his versatility across disciplines have earned him admiration within the academic community. Hocine’s career embodies dedication, mentorship, and scholarly perseverance, which are honors in themselves. His contributions to pedagogy, administration, and research in Algeria’s scientific ecosystem position him as a figure of trust, inspiration, and continued innovation.

📚 Publications Top Note 

1. A computational fluid dynamics model using the volume of fluid method for describing the dynamics of spreading of Newtonian fluids
Authors: H. Alla, S. Freifer, T. Roques-Carmes
Year: 2011
Citations: 16
Source: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 386 (1–3)
Summary: This study introduces a CFD model employing the Volume of Fluid (VOF) method to simulate how Newtonian fluids spread on solid surfaces. It provides insights into interface tracking and dynamic wetting behavior.

2. A numerical model of an immiscible surfactant drop spreading over thin liquid layers using CFD/VOF approach
Authors: Z. Hanene, H. Alla, M. Abdelouahab, T. Roques-Carmes
Year: 2020
Citations: 11
Source: Colloids and Surfaces A, 600, 124953
Summary: This paper presents a CFD model using the VOF method to simulate the behavior of a surfactant-laden drop spreading over another immiscible liquid layer. It highlights interfacial tension effects and dynamics relevant to coating technologies.

3. A numerical model of superspreading surfactants on hydrophobic surface
Authors: A.T. Badra, H. Zahaf, H. Alla, T. Roques-Carmes
Year: 2018
Citations: 11
Source: Physics of Fluids, 30(9)
Summary: The study models the action of superspreading surfactants on hydrophobic surfaces. It explains how surfactants promote rapid spreading through Marangoni flow and reduced contact angles, improving surface coating processes.

4. A semi-analytical method to estimate the effective slip length of spreading spherical-cap shaped droplets using Cox theory
Authors: M. Wörner, X. Cai, H. Alla, P. Yue
Year: 2018
Citations: 8
Source: Fluid Dynamics Research, 50(3), 035501
Summary: This work presents a semi-analytical approach using Cox theory to estimate the slip length of droplets during spreading, bridging numerical simulations with theoretical predictions in wetting phenomena.

5. New insight into the spreading dynamics of liquids on rough surfaces using computational fluid dynamics
Authors: H. Alla, S. Freifer, B.A. Talha, T. Roques-Carmes
Year: 2013
Citations: 5
Source: Russian Chemical Reviews, 82 (11), 1066
Summary: The paper investigates how rough surface topographies affect the spreading of liquids. It uses CFD to demonstrate how surface roughness alters droplet mobility and contact line pinning.

6. The dynamics of spreading of oils on hydrophilic and hydrophobic surfaces revisited using computational fluid dynamics
Authors: B.A. Talha, H. Alla, S. Freifer, T. Roques-Carmes
Year: 2013
Citations: 2
Source: Journal of Materials Science and Engineering B, 3, 799–811
Summary: This study explores how oils behave on different surfaces using CFD. It compares spreading dynamics on hydrophilic vs. hydrophobic substrates, emphasizing the influence of surface energy.

7. Interfaces Fluid-solid Modeling
Authors: M. Benyettou, S. Chouraqui, H. Alla
Year: 2005
Citations: 2
Source: Journal of Applied Sciences, 5(9), 1602–1605
Summary: The paper introduces a model for simulating interactions at fluid-solid interfaces, focusing on contact angles and the physical mechanisms governing droplet adhesion and spreading.

8. Modélisation et Simulation numérique de l’étalement d’une goutte fluide sur un plan horizontal
Authors: H. Alla, M. Benyettou
Year: 2004
Citations: 2
Source: Journal Français de Rhéologie
Summary: A foundational numerical study that models how fluid droplets spread on horizontal planes. It examines key parameters such as contact angle, viscosity, and gravity in drop spreading.

9. Contribution au Phénomène de Mouillabilité en présence d’un tensioactif anionique SDS et non ionique C11E5
Authors: H. Alla, S. Freifer, C. Medjellel
Year: 2009
Citations: 1
Source: arXiv preprint, arXiv:0906.4878
Summary: Investigates the wettability behavior of droplets in the presence of anionic (SDS) and non-ionic (C11E5) surfactants. The paper combines preliminary modeling with surface tension experiments.

10. Numerical investigation of a drop/surface interaction
Authors: H. Alla, M. Benyettou
Year: 2006
Citations: 1
Source: 13th International Heat Transfer Conference
Summary: A numerical simulation study on the interaction between a liquid drop and solid surfaces. It evaluates drop deformation, impact forces, and thermal contact effects, relevant in heat transfer applications.

🔚 Conclusion

Professor Alla Hocine exemplifies the spirit of multidisciplinary academic excellence. His trajectory—from secondary education to professorship and departmental leadership—reflects a life devoted to learning and sharing knowledge 🌟. With a robust foundation in mathematics and a flair for research in fluid dynamics, biomechanics, and computational techniques, he continues to impact the scientific community of Oran and beyond. Fluent in three major languages and proficient in teaching and research, he is well-positioned to mentor future scientists, contribute to global collaborations, and innovate across domains. Professor Hocine’s journey is a compelling narrative of dedication, expertise, and service—a model for aspiring academics in North Africa and the global research sphere 📚🌍.