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

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.