Benedetta Amicizia | Mathematics | Innovative Research Award

Published on by International Popular Scientist Awards

 

Innovative Research Award

Benedetta Amicizia
Affiliation University of Bologna
Country Italy
Scopus ID 57212607514
Documents 5
Citations 27 citations by 19 documents
h-index 2
Subject Area Mathematics
Event International Popular Scientist Awards
Google Scholar gh_ty30AAAAJ
ORCID 0000-0003-3003-8133

Benedetta Amicizia
University of Bologna, Italy

The Innovative Research Award profile recognizes Benedetta Amicizia, a researcher affiliated with the University of Bologna whose scholarly activities contribute to the field of Mathematics. This academic profile summarizes publicly available research metrics, institutional affiliation, publication record, and scholarly impact using recognized research indexing platforms. The profile is presented in a neutral encyclopedic style suitable for academic recognition and professional reference.[1]

Abstract

Benedetta Amicizia has established an emerging research profile within Mathematics through peer-reviewed scholarly publications indexed in international bibliographic databases. Current publicly available metrics indicate five indexed documents, twenty-seven citations received from nineteen citing documents, and an h-index of two. These indicators demonstrate measurable scholarly engagement and an active contribution to mathematical research and scientific communication.[1][2]

Keywords

Innovative Research Award; Benedetta Amicizia; Mathematics; University of Bologna; Scientific Publications; Scopus Author; Research Metrics; Academic Recognition; Scholarly Impact; International Popular Scientist Awards.

Introduction

Mathematics provides essential theoretical foundations supporting developments across science, engineering, computing, economics, and data analysis. Researchers working in this discipline contribute through rigorous analytical methods, mathematical modeling, and interdisciplinary collaboration. Academic recognition profiles document measurable scholarly achievements while encouraging transparency and accessibility of research information.[3]

Research Profile

Benedetta Amicizia is affiliated with the University of Bologna, Italy. According to the Scopus author profile, the researcher has an indexed publication portfolio consisting of five documents that have collectively received twenty-seven citations from nineteen citing publications, resulting in an h-index of two. These bibliometric indicators provide a quantitative overview of research visibility while complementing qualitative assessments of scientific contribution.[1]

Research Contributions

The available scholarly record indicates contributions to mathematical research through peer-reviewed publications indexed in international citation databases. Such contributions support the advancement of mathematical knowledge, facilitate scholarly dialogue, and provide reference material for future investigations. Research dissemination through recognized indexing platforms increases discoverability and encourages interdisciplinary collaboration.[1][2]

Publications

The documented publication record currently includes five indexed scholarly documents. Readers are encouraged to consult the Scopus Author Profile and Google Scholar profile for the most recent publication list, citation updates, co-author information, and related bibliographic records.[1][2]

Research Impact

Research impact may be evaluated using publication quality, citation performance, collaboration networks, and the influence of scholarly outputs within the academic community. The documented citation record demonstrates that Benedetta Amicizia’s publications have been referenced by subsequent research, indicating measurable engagement with the broader scientific literature.[1]

Award Suitability

Based on publicly available scholarly information, Benedetta Amicizia demonstrates characteristics consistent with consideration for the Innovative Research Award. The documented academic record reflects active research participation, indexed publications, measurable citation performance, and affiliation with a recognized academic institution. Final award decisions should remain subject to the official evaluation criteria established by the International Popular Scientist Awards program.[4]

Conclusion

This profile provides a structured academic overview of Benedetta Amicizia by consolidating institutional affiliation, bibliometric indicators, research discipline, and recognized scholarly resources. The page is intended to facilitate academic visibility while presenting factual information in an objective reference format supported by authoritative research databases and official institutional resources.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Benedetta Amicizia, Author ID 57212607514. Scopus.
    https://www.scopus.com/pages/authors/57212607514
  2. Google Scholar. (n.d.). Scholar Profile: Benedetta Amicizia.
    https://scholar.google.com/citations?user=gh_ty30AAAAJ&hl=en&oi=ao
  3. American Mathematical Society. (n.d.). Mathematics and Research.
  4. International Popular Scientist Awards. (n.d.). Award Information and Evaluation Overview.
    https://popularscientist.com/

Mudassir Shams | Mathematics | Best Researcher Award

Published on by International Popular Scientist Awards

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.

Profile

Orcid

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

Published on by International Popular Scientist Awards

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.

Profile

Research Gate 

Orcid

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

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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.

Profile

Google Scholar

🎓 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