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 

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. 💼📘✨

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 

Scopus

Google Scholar

🎓 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 📚🌍.

Nadia Cheemaa | Applied Mathematics | Best Researcher Award

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Prof. Dr. Nadia Cheemaa | Applied Mathematics | Best Researcher Award

Prof. Dr. Nadia Cheemaa at University of south China, Pakistan

Dr. Nadia Cheema 🎓 is a passionate academic and applied mathematics researcher whose career is marked by outstanding achievements in both teaching and scientific inquiry. She earned her Ph.D. in Applied Mathematics from the prestigious Harbin Institute of Technology 🇨🇳, where she focused on nonlinear dispersive wave equations. With a consistent record of academic excellence, she earlier completed her MS and B.Sc. (Hons) in Mathematical Sciences from Government College University, Lahore 🇵🇰, where she was recognized as a Gold Medalist 🏅 and top performer throughout her studies.

She has worked in both public and private academic institutions, including Government High School Abdal, Minhaj International University, and Government College University, Lahore 👩‍🏫. As a lecturer, she successfully delivered lectures in advanced mathematical topics to undergraduate and postgraduate students while actively engaging in research workshops and academic discourse 📚. Dr. Cheema’s analytical approach, dedication to mathematical innovation, and cross-disciplinary vision have shaped her as a key contributor to the study of nonlinear wave equations. She has also published impactful research and received multiple incentives and grants in recognition of her scholarly contributions 🧾🏆.

Currently, she seeks to expand her research by developing simplified analytical methods and exploring their applications in complex physical systems, including quantum mechanics, plasma physics, and nanotechnology ⚛️🔬. She also emphasizes the use of mathematical software for validating theoretical solutions, bridging analytical rigor with computational practicality 💻📈.

Professional Profile:

Scopus

🎓 Education

  • Ph.D. in Applied Mathematics – Harbin Institute of Technology, Harbin, China (2017–2022) 🇨🇳

  • MS in Applied Mathematics – Government College University, Lahore (2012–2014) 🇵🇰

  • B.Sc. (Hons) in Mathematical Sciences – Government College University, Lahore (2007–2011) 🇵🇰

  • B.Ed. – Allama Iqbal Open University, Islamabad (2014) Work Experience

  • 👩‍🏫 Senior Subject Teacher (BS-16) – Government High School Abdal, Gujranwala (2012–2014)
    Delivered secondary-level mathematics courses, focusing on core concepts and exam preparation.

  • 📘 Lecturer of Mathematics (Permanent) – Minhaj International University, Lahore (2015–2016)
    Taught undergraduate and graduate mathematics, organized workshops, and facilitated academic research.

  • 🧮 Visiting Lecturer – Government College University, Lahore (2016–2017)
    Conducted lectures in applied mathematics and supervised academic discussions and projects.

🧑‍💼 Professional Development

Dr. Nadia Cheema has continually enhanced her academic and instructional capabilities through diverse training and certifications 📚. She completed a four-week induction training for newly appointed senior subject teachers in the education department 🏫 and participated in an official workshop by the Election Commission of Pakistan 🗳️. These opportunities enabled her to sharpen her leadership, communication, and administrative skills while aligning with institutional and national standards. She also contributed to research-based workshops and classroom innovations, demonstrating her commitment to academic excellence, lifelong learning, and student empowerment 💼🎤.

🔬 Research Focus

Dr. Cheema’s research is rooted in the analytical and numerical exploration of nonlinear partial differential equations (NLPDEs), especially those modeling dispersive wave phenomena in physical and engineering systems 🌊⚙️. She specializes in studying solitary wave solutions, such as dark solitons and dispersive shock waves, which frequently appear in quantum mechanics, nonlinear optics, plasma physics, and elastic media 🔬⚛️. Her future goals include proposing new simplified analytical methods, validating results using computational tools like Mathematica and Maple 💻, and contributing to the mathematical understanding of wave propagation in complex systems. Her research bridges pure mathematical theory and real-world scientific application 🔍📊.

🏅 Awards & Honors

  • 🥇 Gold Medalist – B.Sc. (Hons) Mathematics, GCU Lahore

  • 🏅 Gold Medal Scholarship – M.Phil in Applied Mathematics, GCU Lahore

  • 🎓 Fully Funded Ph.D. Scholarship – China Scholarship Council (CSC)

  • 🌍 Postdoctoral Fellowship – Zhejiang Normal University, China (2022)

  • 🧑‍🎓 Academic Roll of Honor – GCU Lahore, CGPA: 3.50

  • 💻 Laptop Award – Merit basis, Shahbaz Sharif Youth Scheme

  • ✈️ Travel Grant – Higher Education Commission of Pakistan for Ph.D.

  • 🧾 Research Incentive (12,000 PKR) – Nonlinear Dynamics (Impact Factor 2.84)

  • 🧾 Research Incentive (9,000 PKR) – Waves in Random and Complex Media (IF 0.95)

  • 🧾 Research Incentive (1,500 PKR) – Co-author in Computational and Theoretical Nanoscience (IF 1.89)

Publication Top Notes

  • Title: Stability, sensitivity, chaotic behavior, and phase trajectories evaluation of the Davey-Stewartson stochastic equation

  • Authors: Muhammad Moneeb Tariq, Muhammad Bilal Riaz, Tomas Kozubek, and Muhammad Aziz-ur-Rehman

  • Journal: Modeling Earth Systems and Environment

  • Publication Date: January 20, 2025

  • DOI: 10.1007/s40808-024-02229-3

Conclusion

Dr. Nadia Cheema exhibits the profile of a committed and impactful researcher in applied mathematics with a promising academic trajectory. Her specialization in nonlinear dynamics and dispersive wave theory is of high relevance to both theoretical mathematics and real-world technological applications. Given her academic honors, research productivity, and international collaborations, she is a strong candidate for the Best Researcher Award. Her selection would recognize and further motivate innovative work at the intersection of mathematics and multidisciplinary science.

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:

Orcid

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

Orcid

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

Jalil Manafian | Applied Mathematics | Best Researcher Award

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Yasir Ramzan | Mathematics | Best Researcher Award

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 Dr. Yasir Ramzan | Mathematics | Best Researcher Award

Mr. Yasir Ramzan, Shanghai University, China

Mr. Yasir Ramzan is a mathematician specializing in applied mathematics and mathematical modeling, currently affiliated with Shanghai University, China. He holds an M.Phil. in Mathematics from the University of the Punjab, Pakistan, where his research focused on control strategies for Lassa fever through mathematical modeling. His research interests include mathematical epidemiology, biological mathematics, and infectious disease modeling. Mr. Ramzan has published multiple research papers on epidemic control, exploring innovative strategies such as nanotechnology and educational campaigns to manage infectious diseases. Known for his problem-solving skills and dedication to continuous learning, he is an emerging researcher in the field of mathematical epidemiology.

PROFILE

Orcid profile

Educational Details

Dr. Yasir Ramzan is a mathematician with a strong focus on applied mathematics and mathematical modeling, particularly in epidemiology and infectious disease control. He completed his M.Phil. in Mathematics from the University of the Punjab, Lahore, Pakistan, in 2023 with a thesis on “Mathematical Modeling and Control Strategies for Lassa Fever,” achieving a CGPA of 3.37/4.0. He also holds a BS in Mathematics from Government College University Faisalabad, where he graduated with a CGPA of 3.90/4.0 and was a position holder.

Professional Experience

Dr. Ramzan served as a Lecturer on a contract basis at Govt. Graduate College in Shorkot City, Jhang, Pakistan, where he taught mathematics from February to May 2021. His professional skills include effective time management, leadership, communication, and a continuous commitment to learning and innovation. Among his honors, he holds an English Language and Personality Grooming Certificate, character certificates from his educational institutions, and a laptop awarded by the Government of Punjab.

Research Interests

Dr. Ramzan’s research interests lie in applied mathematics, mathematical epidemiology, and biological mathematics, with a focus on mathematical modeling to understand and control the spread of infectious diseases. He has published several research papers, including studies on epidemic control strategies for Lassa fever, transmission patterns and nanotechnology applications in malaria control, and epidemic management for rabies-related disorders. His research often explores innovative epidemic management techniques, including nanotechnology and educational campaigns.

Technical Skills

Dr. Ramzan is an emerging researcher and educator dedicated to the advancement of mathematical approaches to public health and epidemic control, combining technical expertise with a passion for problem-solving and continuous learning.

Top Notable Publications

A Mathematical Lens on the Zoonotic Transmission of Lassa Virus Infections Leading to Disabilities in Severe Cases

Authors: Yasir Ramzan, Aziz Ullah Awan, Muhammad Ozair, Takasar Hussain, Rahimah Mahat

Year: 2024

Journal: Mathematical and Computational Applications

DOI: 10.3390/mca29060102

Rabies-related Brain Disorders: Transmission Dynamics and Epidemic Management via Educational Campaigns and Application of Nanotechnology

Authors: Kamel Guedri, Yasir Ramzan, Aziz Ullah Awan, Bandar M. Fadhl, Mowffaq Oreijah

Year: 2024

Journal: The European Physical Journal Plus

DOI: 10.1140/epjp/s13360-023-04796-3

Modeling Transmission Patterns and Optimal Control through Nanotechnology: A Case Study of Malaria Causing Brain Disabilities

Authors: Kamel Guedri, Yasir Ramzan, Aziz Ullah Awan, Bandar M. Fadhl, Mowffaq Oreijah

Year: 2024

Journal: Journal of Disability Research

DOI: 10.57197/jdr-2023-0061

Deciphering the Enigma of Lassa Virus Transmission Dynamics and Strategies for Effective Epidemic Control through Awareness Campaigns and Rodenticides

Authors: Yasir Ramzan, Aziz Ullah Awan, Muhammad Ozair, Takasar Hussain

Year: 2024

Journal: Scientific Reports

DOI: 10.1038/S41598-024-68600-7

WOS UID: WOS:001284942100034

Innovative Strategies for Lassa Fever Epidemic Control: A Groundbreaking Study

Authors: Yasir Ramzan, Aziz Ullah Awan, Muhammad Ozair, Takasar Hussain, Rahimah Mahat

Year: 2023

Journal: AIMS Mathematics

DOI: 10.3934/MATH.20231574

Conclusion

In conclusion, Dr. Yasir Ramzan’s academic qualifications, innovative research, and professional experience position him as a highly deserving candidate for the Research for Best Researcher Award. His work in mathematical modeling for infectious disease control is impactful, and his ongoing commitment to solving global health issues through mathematics makes him an excellent fit for the award.

 

 

Fairouz Tchier | Applied Mathematics | Best Researcher Award

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Prof Dr. Fairouz Tchier | Applied Mathematics | Best Researcher Award 

Scopus Profile

Educational Details:

Prof. Fairouz Tchier earned her Ph.D. in Mathematics with a focus on theoretical computer science from Université Laval, Quebec City, in 1996. She completed her Master of Science in Mathematics (specializing in functional analysis) from Université de Sherbrooke in 1990, and her Bachelor’s degree in Mathematics (functional analysis) from Université de Sétif, Algeria, in 1986.

Professional Experience

Prof. Tchier is currently a Full Professor at the Mathematics Department at King Saud University, a position she has held since 2017. She has been with the university since 1996, progressing from Assistant Professor to Associate Professor in 2008. With a career spanning more than two decades, she has taught numerous courses in pure and applied mathematics as well as theoretical computer science. She has also supervised student projects and is deeply involved in the management of e-courses.

In addition to her teaching responsibilities, she is a recognized leader in quality assurance and accreditation, serving as a Certified Learning Quality Manager and an active member in the accreditation process for King Saud University. She has held various administrative and coordinating roles in accreditation and program evaluation.

Research Interest

Her research interests focus on mathematics and theoretical computer science. She is highly regarded for her work, being ranked among the top 2% of researchers most cited for their contributions to mathematics in 2020 according to the Scopus database.

Awards & Recognitions

Throughout her career, Prof. Tchier has been recognized for her academic excellence and teaching. She has received awards such as the Academic Excellence Award at the Women’s Higher Education Symposium and the Best Staff in Teaching Award at the Mathematics Department at King Saud University. She has also been the recipient of national and international scholarships, including from NSERC (Canada).

Top Notable Publications

“Boundary values of Hankel and Toeplitz determinants for q-convex functions”

Authors: Hadi, S.H., Shaba, T.G., Madhi, Z.S., Lupaş, A.A., Tchier, F.

Published in: MethodsX, 2024, Vol. 13, Article 102842

Citations: 0

“Exploring expected values of topological indices of random cyclodecane chains for chemical insights”

Authors: Chunsong, B., Naeem, A., Yousaf, S., Tchier, F., Issa, A.

Published in: Scientific Reports, 2024, Vol. 14(1), Article 10065

Citations: 1

“The fractional analysis of thermo-elasticity coupled systems with non-linear and singular nature”

Authors: Rab, A., Khan, S., Khan, H., Tawfiq, F., Nadeem, M.

Published in: Scientific Reports, 2024, Vol. 14(1), Article 9663

Citations: 0

“Sharp coefficient inequalities of starlike functions connected with secant hyperbolic function”

Authors: Raza, M., Bano, K., Xin, Q., Tchier, F., Malik, S.N.

Published in: Journal of Inequalities and Applications, 2024, Vol. 2024(1), Article 56

Citations: 0

“Computation of expected values of some connectivity based topological descriptors of random cyclooctane chains”

Authors: Yousaf, S., Iqbal, Z., Tariq, S., Tchier, F., Issa, A.

Published in: Scientific Reports, 2024, Vol. 14(1), Article 7713

Citations: 0

“Analysis of two layered peristaltic-ciliary transport of Jeffrey fluid and in vitro preimplantation embryo development”

Authors: Ashraf, H., Siddique, I., Siddiqa, A., Bhatti, S., Rehman, A.

Published in: Scientific Reports, 2024, Vol. 14(1), Article 1469

Citations: 1

“Sharp coefficient bounds for a class of symmetric starlike functions involving the balloon shape domain”

Authors: Khan, B., Gong, J., Khan, M.G., Tchier, F.

Published in: Heliyon, 2024, Vol. 10(19), Article e38838

Citations: 1

Conclusion

Given Dr. Tchier’s extensive qualifications, impressive academic background, multiple awards, long-standing work experience, and contributions to the global research community, she is a strong and deserving candidate for the Research for Best Researcher Award. Her consistent impact on the field of applied mathematics, theoretical computer science, and academic quality makes her an ideal recipient of such an honor.