Mudassir Shams | Mathematics | Best Researcher Award

Assist. Prof. Dr. Mudassir Shams | Mathematics | Best Researcher Award

Assistant Professor | Balikesir University | Turkey

Assist. Prof. Dr. Mudassir Shams is a distinguished mathematician and academic whose career reflects excellence in teaching, research, and innovation in computational mathematics and numerical analysis. He currently serves as an Assistant Professor at Balikesir University, Turkey, and has held significant academic and research roles at Riphah International University, Pakistan, and the Free University of Bozen-Bolzano, Italy. His expertise lies in developing advanced numerical schemes for solving nonlinear equations, fractional systems, fuzzy models, and scientific computing problems. With a prolific record of more than sixty-eight research publications including peer-reviewed articles, book chapters, and an authored book, Dr. Shams has contributed to advancing modern applied mathematics in engineering, computational sciences, and physics-related applications. His academic journey demonstrates a commitment to interdisciplinary approaches, combining theory and applied problem-solving to address real-world challenges. As a mentor and researcher, he continues to push boundaries of mathematical innovation while actively engaging in international collaborations and scholarly contributions.

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Education

Assist. Prof. Dr. Mudassir Shams has pursued an extensive academic path with multiple degrees across mathematics, economics, and education. He completed a Postdoctoral Fellowship in Mathematics with specialization in Numerical Analysis at the Free University of Bozen-Bolzano, where he conducted advanced research on high-performance numerical solvers for engineering and thermonuclear applications. He earned a PhD in Mathematics from Riphah International University, Pakistan, with a perfect CGPA, focusing on computational mathematics and iterative methods for nonlinear equations. Prior to this, he completed an MPhil in Mathematics with distinction and a Gold Medal in Numerical Analysis from the same institution. He further holds master’s degrees in Mathematics, Economics, and Science Education, along with a Bachelor of Science in Mathematics and Physics. Additionally, he obtained a Bachelor of Education and a Postgraduate Diploma in advanced mathematics. His education demonstrates a multidisciplinary blend of mathematical rigor, computational theory, and applied problem-solving across diverse domains.

Professional Experience

Assist. Prof. Dr. Mudassir Shams has built a strong academic and research career through international teaching and research appointments. He currently serves as an Assistant Professor in the Department of Mathematics at Balikesir University, Turkey, where he teaches advanced courses in mathematics and supervises research projects. Previously, he worked as Assistant Professor and Senior Lecturer at Riphah International University, Islamabad, where he contributed extensively to curriculum design, research mentoring, and administrative responsibilities such as examination supervision and program coordination. He also served as a Postdoctoral Research Assistant at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, contributing to high-level projects in computational mathematics and numerical solvers for engineering applications. His experience spans more than a decade of teaching, research supervision, and scholarly publishing. He has participated in international projects, delivered workshops, and engaged in collaborative studies with scholars worldwide, reflecting his ability to combine academic leadership with innovative mathematical research.

Awards and Honors

Assist. Prof. Dr. Mudassir Shams has received numerous awards and distinctions recognizing his academic and research excellence. He was honored with a prestigious Gold Medal in his MPhil in Mathematics for achieving outstanding performance in Numerical Analysis. His consistent academic excellence is further reflected in his perfect CGPA scores during advanced studies. He has been recognized internationally for his research contributions with publications in highly ranked journals, earning him visibility within the global scientific community. His invited book chapters published by renowned publishers such as Elsevier and Springer demonstrate his recognition as an authority in computational mathematics. His postdoctoral research at the Free University of Bozen-Bolzano was awarded under supervision of esteemed scholars, further highlighting his role as a researcher of global standing. Through his innovative research in numerical schemes and fractional systems, Dr. Shams has earned professional acclaim, citations, and acknowledgment as a leading contributor in the field of applied mathematics.

Research Focus 

Assist. Prof. Dr. Mudassir Shams’ research focuses on computational mathematics, numerical analysis, and the development of efficient algorithms for solving complex mathematical models arising in engineering and applied sciences. His work emphasizes the construction and analysis of numerical schemes for nonlinear equations, iterative methods, fuzzy differential equations, fractional differential equations, boundary value problems, and integral equations. He has advanced the study of fractional iterative methods and q-numerical schemes, providing theoretical insights and practical tools for engineering problem-solving. His research also extends to the dynamical analysis of iterative methods and real and complex dynamics of nonlinear systems, offering contributions to stability and convergence studies. With applications spanning physics, engineering, and computational sciences, his projects include semi-analytical techniques and numerical linear algebra methods to optimize scientific computing. His interdisciplinary research integrates mathematical rigor with practical applications, supporting innovation in high-performance computing and advanced engineering models, making significant contributions to global mathematical sciences.

Publications

Artificial Neural Network-Based Single-Step Method for Solving Biomedical Engineering Application
Year: 2025

On Hybrid Parallel Scheme for Biomedical Engineering Problems
Year: 2025

Chaos-Enhanced Fractional-Order Iterative Methods for the Stable and Efficient Solution of Nonlinear Engineering Problems
Year: 2025

Chaos in Inverse Parallel Schemes for Solving Nonlinear Engineering Models
Year: 2024

Triangular intuitionistic fuzzy linear system of equations with applications: an analytical approach
Year: 2024

Conclusion

Assist. Prof. Dr. Shams’s research contributions demonstrate a rare combination of mathematical depth and engineering applicability, positioning him as a strong candidate for recognition and awards in computational mathematics, applied numerical methods, and biomedical engineering applications. His innovative work not only advances mathematical theory but also provides computationally efficient solutions for complex engineering and biomedical problems, underscoring his potential for continued impact in the scientific community.

Jianjun Jiao | Mathematics | Best Researcher Award

Prof. Dr. Jianjun Jiao | Mathematics | Best Researcher Award

Guizhou University of Finance and Economics China

Jian-Jun Jiao, Ph.D., is a distinguished Professor of Applied Mathematics at the School of Mathematics and Statistics, Guizhou University of Finance and Economics, China. With a robust academic career spanning over a decade, he has made significant contributions to differential equations and mathematical modeling in biological and ecological systems. His research, widely recognized in the academic community, has led to over 100 peer-reviewed publications and nearly 2000 citations.

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Education 🎓

  • Ph.D. in Applied Mathematics – Dalian University of Technology, May 2008
  • M.S. in Fundamental Mathematics – Guangxi Normal University, June 2005
  • B.S. in Mathematical Education – Shaoyang University, July 1997

Professional Experience 🌍

  • Professor, School of Mathematics and Statistics, Guizhou University of Finance and Economics (2008–Present)
  • Research/Teaching Assistant, Guizhou University of Finance and Economics (2006–2008)
  • Postdoctoral Research Associate, Applied Mathematics, Huazhong University of Science and Technology (2009–2011)

Research Interests 🔬

  • Theories of Differential Equations
  • Mathematical Modeling in Biology, Epidemics, and Ecology

Honors and Awards 🏆

  • Communication Review Expert, National Science Foundation of China (2013–Present)
  • Senior Professional & Technical Title Evaluation Expert, Guizhou Province (2019–Present)
  • Provincial Management Expert, Guizhou Province (2019)
  • Core Expert, Guizhou Province (2021)

Publications Top Notes: 📚

Jiao, J., Liu, Z., Cai, S. (2020). Dynamics of an SEIR model with infectivity in incubation period and homestead-isolation on the susceptible. Applied Mathematics Letters, 107, 106442. DOI

Jiao, J., Quan, Q., Dai, X. (2022). Dynamics of a new impulsive predator–prey model with predator population seasonally large-scale migration. Applied Mathematics Letters, 132, 108096. DOI

Jiao, J., Liu, Z., Li, L., Nie, X. (2019). Threshold dynamics of a stage-structured single population model with non-transient and transient impulsive effects. Applied Mathematics Letters, 97, 88-92. DOI

Jiao, J., Chen, L., Cai, S., Wang, L. (2010). Dynamics of a stage-structured predator–prey model with prey impulsively diffusing between two patches. Nonlinear Analysis: Real World Applications, 11, 2748-2756. DOI

Jiao, J., Cai, S., Chen, L. (2011). Analysis of a stage-structured predator-prey system with birth pulse and impulsive harvesting at different moments. Nonlinear Analysis: Real World Applications, 12, 2232-2244. DOI

Modelling and analysis of periodic impulsive releases of the Nilaparvata lugens infected with wStri-Wolbachia

Survival Analysis of a Predator–Prey Model with Seasonal Migration of Prey Populations between Breeding and Non-Breeding Regions

Survival analysis of a stochastic impulsive single-species population model with migration driven by environmental toxicant

Vinita Dwivedi | Mathematics | Young Scientist Award

Ms. Vinita Dwivedi | Mathematics | Young Scientist Award

Research Scholar Dr harisingh gour vishwavidhalaya India

Vinita Dwivedi is a passionate research scholar specializing in inventory models, supply chain management, and mathematical epidemic modeling. Currently pursuing her Ph.D. at Dr. Harisingh Gour Central University, Sagar, M.P., she has made notable contributions in applied mathematics through her research on pharmaceutical inventory and disease control strategies.

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🎓 Education

  • Ph.D. (Pursuing): Strategic Decision-Makings in Healthcare: A Mathematical Framework for Pharmaceutical Inventory and Diseases Control, Dr. Harisingh Gour Central University, Sagar.
  • M.Sc. in Mathematics (94.8%): Indira Gandhi National Tribal University, Amarkantak, M.P., 2019 (Gold Medalist).
  • B.Sc. in Mathematics, Physics, Chemistry (64.3%): APS University, Rewa, 2017.
  • 12th Grade (70%): G.S.C.S., Shahdol, 2014.
  • 10th Grade (68%): G.S.C.S., Shahdol, 2012.

💼 Experience

  • Assistant Professor: Department of Engineering Mathematics, Laxmi Narain College of Technology, Bhopal (August 2019–December 2021), with over 2 years and 5 months of teaching experience.

🔬 Research Interests

  • Inventory Models 📦
  • Supply Chain Management 🚛
  • Mathematical Epidemic Models 🧬

🏆 Awards

  1. Young Scientist Award (2024): Vigyan Parishad of India for Applied Mathematics.
  2. Gold Medal (2019): M.Sc. topper, IGNTU, Amarkantak.
  3. Third Position (2024): Best Paper Presentation in an interdisciplinary conference at Swami Vivekanand University, Sagar.
  4. First Position (2023): Best Paper Presentation on SIQRS model, Dr. Harisingh Gour University, Sagar.
  5. Organizer Recognition (2024): National Mathematics Day Celebration and Vedic Mathematics Celebration.

📚 Publications Top Notes: 

An Optimal Sustainable Production Policy for Imperfect Production System with Stochastic Demand, Price, and Machine Failure with FRW Policy Under Carbon Emission

Optimal control of rotavirus infection in breastfed and non-breastfed children

Efficiency of managing a stochastic inventory system in a declining market for non-instantaneous deteriorating items under partial backlogs

Optimizing healthcare supply chains strategically: analyzing the impact of COVID-19 on pharmaceutical inventory costs through the integration of evidence theory and hybrid …

Interval-valued optimal control strategies for vaccine distribution and infection awareness investment in preservation technology

Analyzing the impact of sustainability on EPQ model: Investigating price and sustainability level dependent demand using center-radius optimization techniques with …

Enhancing pharmaceutical supply Chains in health crises: Integrating fuzzy logic and particle swarm optimization