Muhammad Riaz | Mathematics | Innovative Research Award

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Innovative Research Award

Muhammad Riaz

Central South University

Muhammad Riaz
Affiliation Central South University
Country Pakistan
Scopus ID 57611620500
Documents 192
Citations 5,056
h-index 39
Subject Area Mathematics
Event International Phenomenological Research Awards
ORCID 0000-0001-8115-9168

Muhammad Riaz is a Pakistani mathematics educator and researcher whose scholarly work focuses on pure mathematics, fuzzy algebra, aggregation operators, computational mathematics, and multi-criteria decision-making methodologies. His research has contributed to the development of advanced fuzzy frameworks including Fermatean fuzzy sets, cubic fuzzy sets, and Q-rung orthopair fuzzy models for addressing complex decision sciences applications.[1] Through a combination of academic research, mathematical modelling, and educational practice, he has developed a professional profile that bridges theoretical mathematics and practical decision-support systems.[2]

Abstract

This article presents an academic overview of Muhammad Riaz, highlighting his educational background, teaching experience, research achievements, and contributions to fuzzy mathematics and decision sciences. His work emphasizes the development of aggregation operators and fuzzy decision-making frameworks applicable to uncertainty modelling, computational intelligence, and multi-criteria decision-making problems. The profile also evaluates the relevance of his research record in the context of academic recognition and international research awards.[1]

Keywords

Pure Mathematics; Fuzzy Algebra; Fermatean Fuzzy Sets; Q-rung Orthopair Fuzzy Sets; Cubic Fuzzy Sets; Aggregation Operators; Multi-Criteria Decision Making (MCDM); Computational Mathematics; Decision Sciences; Mathematical Modelling.

Introduction

Muhammad Riaz has developed an academic career combining mathematics education and research. His interests lie in pure mathematics and fuzzy systems, with particular emphasis on modelling uncertainty in decision environments. He has contributed to theoretical and applied mathematical studies involving aggregation operators, fuzzy soft sets, intuitionistic fuzzy structures, and decision-support methodologies.[1]

Alongside his research activities, he has served as a high school mathematics teacher since 2017, providing instruction at secondary and higher secondary levels while mentoring students and participating in academic development activities. His educational philosophy integrates mathematical rigor with practical problem-solving skills.[2]

Research Profile

Riaz completed an MPhil in Pure Mathematics at Abdul Wali Khan University, Mardan, where his thesis focused on Fermatean Cubic Fuzzy Aggregation Operators and their applications in decision-making problems. The research proposed advanced aggregation methodologies and explored their extension toward Q-rung Orthopair Cubic Fuzzy frameworks for multi-criteria decision-making systems.[3]

  • Research specialization in fuzzy algebra and decision sciences.
  • Focus on aggregation operators under uncertainty.
  • Interest in computational mathematics and numerical methods.
  • Application of fuzzy systems in real-world decision environments.
  • Development of mathematical models for MCDM problems.

Research Contributions

The research contributions of Muhammad Riaz primarily involve the advancement of fuzzy decision-making methodologies. His published work explores circular intuitionistic fuzzy systems, picture fuzzy soft operators, neutrosophic decision models, and integrated decision-support frameworks applicable to transportation, healthcare, education, security screening, and information retrieval systems.[4]

  • Development of Fermatean fuzzy aggregation operators.
  • Research on circular intuitionistic fuzzy decision models.
  • Applications of fuzzy systems in healthcare decision analysis.
  • Optimization frameworks for transportation and routing problems.
  • Integration of advanced aggregation techniques into MCDM methodologies.

Publications

Muhammad Riaz’s notable publications include studies on airport security decision systems and neutrosophic group decision-making for wave energy plant location, published in Information Sciences and CAAI Transactions on Intelligence Technology, respectively.[4][5]

Selected recent publications demonstrate the breadth of Riaz’s research activity across fuzzy systems, computational intelligence, and decision sciences.[4]

Research Impact

The bibliometric indicators associated with Muhammad Riaz reflect a substantial research presence within mathematics and decision sciences. His Scopus profile reports 192 indexed documents, more than 5,000 citations, and an h-index of 39, indicating sustained scholarly influence across interdisciplinary domains involving fuzzy mathematics, optimization, and computational intelligence.[1]

His research outputs have been published in internationally recognized journals including Information Sciences, Applied Soft Computing, Scientific Reports, International Journal of Fuzzy Systems, and Measurement, contributing to the advancement of uncertainty modelling and intelligent decision-support systems.[4]

Award Suitability

Based on available academic indicators, publication record, and demonstrated contributions to fuzzy mathematics and decision sciences, Muhammad Riaz exhibits characteristics commonly associated with candidates for international academic recognition. His combination of educational service, mathematical research, and interdisciplinary applications supports consideration within award frameworks that emphasize scholarly productivity, research impact, and innovation.[1][4]

Additional strengths include sustained publication activity, development of advanced fuzzy aggregation methodologies, practical decision-making applications, and commitment to higher research objectives through doctoral-level advancement in pure mathematics.[3]

Conclusion

Muhammad Riaz represents a researcher whose academic work combines theoretical mathematical development with practical applications in decision sciences. Through contributions to fuzzy algebra, aggregation operators, and computational decision-making frameworks, he has established a scholarly profile characterized by interdisciplinary relevance and measurable research impact. His continuing commitment to advanced research and mathematics education aligns with the objectives of international research recognition initiatives.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Muhammad Riaz, Author ID 57611620500. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57611620500
  2. ORCID. (n.d.). Muhammad Riaz ORCID Profile. https://orcid.org/0000-0001-8115-9168
  3. Abdul Wali Khan University. (2020). Fermatean Cubic Fuzzy Aggregation Operators with Applications in Decision-Making Problems. MPhil Thesis.
  4. Riaz, M., Shahzadi, T., Saqlain, M., & Merigó, J. M. (2026). Integrated LOPCOW-AROMAN framework with softmax hamacher information aggregation: Enhancing airport security screening efficiency in uncertain environment. Information Sciences.
  5. Farid, H.M.A., Razzaq, A., Riaz, M., Senapati, T., & Moslem, S. (2026). Optimising Wave Energy Plant Location Through Neutrosophic Multi-Criteria Group Decision-Making. CAAI Transactions on Intelligence Technology.

Huiqing Dai | Mathematics | Research Excellence Award

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Ms. Huiqing Dai | Mathematics | Research Excellence Award 

Master at University of Chinese Academy of Sciences | China

Ms. Huiqing Dai is a researcher specializing in mathematical modeling, quantitative analysis, and systems optimization, with strong interdisciplinary expertise bridging mathematics, engineering management, and data-driven decision science. She holds advanced academic training in engineering management and has developed a solid foundation in higher mathematics, computer algebra, machine learning, and complex system modeling. Her research experience includes leading studies on spatio-temporal modeling, optimization methods, and analytical frameworks applied to sustainability, digital economy analysis, transportation systems, and project management. Ms. Huiqing Dai’s scholarly output reflects methodological rigor and applied relevance, with 3 peer-reviewed documents that have achieved 135 citations across 134 citing documents and an h-index of 3, demonstrating measurable academic impact. Her research interests focus on mathematical modeling of complex systems, optimization theory, data analytics, and interdisciplinary applications of mathematics to real-world problems. Through innovative analytical approaches and consistent research performance, Ms. Huiqing Dai continues to show strong potential for long-term contributions to mathematical and applied research.

Citation Metrics (Scopus)

150

100

50

0

Citations
135

Documents
3

h-index
3

Featured Publications

Hassan Shahzad | Mathematics | Best Scholar Award

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Mr. Hassan Shahzad | Mathematics | Best Scholar Award

Academic Officer at Department of mathematics, Capital University of Science and Technology, Islamabad, Pakistan.

Hassan Shahzad, an MPhil graduate in Mathematics from Capital University of Science and Technology (CUST), Islamabad, specializes in applied and computational mathematics. With a strong academic background, he was recognized on the Dean’s Honor Roll and actively contributes to research, having published one article and several under review. Hassan is proficient in MATLAB, LaTeX, C, and C++, showcasing adaptability in interdisciplinary collaborations. Currently serving as an Academic Officer in the Department of Mathematics at CUST, he previously worked as a mathematics teacher in reputable institutions. His long-term ambition is to be among the top 2% of researchers globally.

Professional Profile:

ORCID Profile

Education 🎓📖

  • MPhil in Mathematics (2021-2024) – CUST, Islamabad
    • Courses: Heat and Mass Transfer, Computational Fluid Dynamics, Electromagnetic Wave Theory, Perturbation Method, General Relativity
  • BS in Mathematics (2016-2020) – International Islamic University, Islamabad
    • Courses: Complex Analysis, Fluid Mechanics, Numerical Methods, Real & Functional Analysis, Differential Geometry

Experience 💼📊

  • Academic Officer (2024-Present) – Capital University of Science and Technology
    • Managed course allocation, academic scheduling, and student concerns
    • Organized the Annual Mathematics Conference and facilitated departmental communication
  • Senior Mathematics Teacher (2022-2024) – Aamirr Public School, Rawalpindi
    • Developed instructional materials and taught high school Mathematics
  • Mathematics Teacher (2020-2021) – International Public School, Rawalpindi
    • Designed lesson plans and evaluated students’ academic progress

Professional Development 🚀📚

Hassan Shahzad continuously enhances his expertise through professional training and research engagements. He has completed multiple online courses, including Engineering Mechanics, FEM Analysis, and Real Numbers and Monomials. His role as an Academic Officer has further honed his skills in academic administration, conference organization, and departmental coordination. Passionate about numerical computing, he is proficient in MATLAB, LaTeX, and C++, enabling him to tackle complex mathematical problems. Actively involved in research, he collaborates with scholars to explore new mathematical models and techniques. His dedication to professional growth and interdisciplinary collaboration defines his academic and research journey.

Research Focus 🔬📊

Hassan Shahzad specializes in applied and computational Mathematics , particularly in heat and mass transfer, fluid dynamics, and entropy analysis. His research explores non-Newtonian fluid models, hybrid nanofluids, and magnetohydrodynamics (MHD). He applies numerical techniques such as finite difference methods, perturbation methods, and boundary value problem-solving for real-world applications. His studies involve entropy generation, Cattaneo–Christov heat flux, and electromagnetic wave interactions in fluid flows. His work aims to optimize heat and mass transfer processes in engineering and medical applications. With multiple publications and ongoing research, he strives to contribute significantly to computational fluid dynamics and thermal sciences.

Honors & Awards 🏆🎖

  • Certificate of Excellence (2025) – Recognized for organizing the CUST Annual Conference on Mathematics
  • Certificate of Participation (2023) – Participated in the CUST Annual Conference on Mathematics
  • Dean’s Honor Roll (Spring 2022) – Awarded for academic excellence at CUST

Publication Top Notes

  • Forchheimer model and generalized Fourier and Fick heat flux in water-based Williamson hybrid nanofluid flow over a stretched surface under Lorentz force
    📅 Year: 2024
    ✍️ Authors: Hassan Shahzad, M. Sagheer
    🔗 DOI: 10.1088/1402-4896/ada31f
    📖 Journal: Physica Scripta

  • Cattaneo–Christov double diffusion model for the entropy analysis of a non-Darcian MHD Williamson nanofluid
    📅 Year: 2024
    ✍️ Authors: Muhammad Sagheer, Z. Sajid, Shafqat Hussain, H. Shahzad
    🔗 DOI: 10.1080/10407782.2024.2380365
    📖 Journal: Numerical Heat Transfer, Part A: Applications

Taqmeem Bibi | Mathematics | Best Scholar Award

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Ms. Taqmeem Bibi | Mathematics | Best Scholar Award

PhD Scholar at Beijing Forestry University, Beijing, 100083, China, China.

🌍Dr. Taqmeem Bibi is a Pakistani scholar specializing in fluid mechanics, particularly focusing on the analysis of linear and nonlinear partial differential equations (PDEs) using numerical techniques. Her research includes fluid flow with nanoparticles, hybrid nanofluids, and entropy optimization, with applications in heat and mass transfer and energy-efficient systems. She holds an M.Phil. degree, where her thesis explored hybrid nanofluid flow containing motile microorganisms under the Cattaneo-Christov double diffusion model. Dr. Bibi is proficient in advanced computational tools such as MATLAB, Mathematica, and LaTex, and she has published impactful research in peer-reviewed journals. Her accolades include multiple merit scholarships, Dean’s Roll of Honor awards, and a prestigious Chinese Government Scholarship for her PhD studies.

Profile👤

Education 🎓

🎓Dr. Taqmeem Bibi has pursued a stellar academic journey across leading institutions. She earned her B.Sc. from the University of Punjab, Lahore, followed by an M.Sc. in Mathematics from Riphah International University, Islamabad, where she received merit scholarships for academic excellence. Continuing her dedication to higher education, she completed her M.Phil. at Capital University of Science and Technology, Islamabad, with a focus on hybrid nanofluids. Her thesis titled “Flow Analysis of (TiO2 + Ag)/EO Hybrid Casson Nanofluid Containing Motile Micro-Organisms Subjected to Cattaneo-Christov Double Diffusion” reflects her expertise in applying numerical methods to real-world fluid mechanics challenges. Dr. Bibi is now pursuing her Ph.D. at Beijing Forestry University, China, under the Chinese Government Scholarship, where she explores advanced numerical techniques for solving nonlinear PDEs in fluid dynamics. Her education highlights her academic excellence and unwavering commitment to innovative research.🎓

Experience💼

🩺Dr. Taqmeem Bibi has a robust research background in fluid mechanics and numerical analysis. Her work involves solving complex partial differential equations (PDEs) using advanced numerical techniques, particularly focusing on hybrid nanofluids and their applications in energy-efficient systems. She has collaborated with renowned researchers, including Prof. Dr. Wang Ping from Beijing Forestry University and Dr. Muhammad Sagheer from Capital University of Science and Technology, Islamabad. Dr. Bibi has contributed to high-impact journals and participated in academic events such as the CUST Mathematics Conference in 2023. Beyond research, she is skilled in using computational tools like MATLAB and Mathematica, enabling her to tackle multidisciplinary challenges in applied mathematics. Her expertise in fluid dynamics, numerical solutions, and cryptography showcases her versatility as a researcher and academic.👨‍🔬🌍

Awards and Honors 🏆

Dr. Taqmeem Bibi has consistently demonstrated academic excellence, earning several prestigious awards and scholarships. She received merit scholarships during her B.Sc., M.Sc., and M.Phil. studies, recognizing her outstanding academic performance. During her M.Phil. at Capital University of Science and Technology, Islamabad, she was twice awarded the Dean’s Roll of Honor for her exceptional achievements. Currently, she is the recipient of the highly competitive Chinese Government Scholarship for her Ph.D. at Beijing Forestry University, China. These accolades reflect her dedication to advancing knowledge in fluid mechanics and numerical analysis. Dr. Bibi’s recognition for academic excellence underscores her potential as an accomplished researcher and scholar.

Research Interests 🔬

🔬Dr. Taqmeem Bibi’s research centers on fluid mechanics, with a particular focus on hybrid nanofluids and their role in enhancing energy-efficient systems. She employs advanced numerical techniques to analyze linear and nonlinear partial differential equations (PDEs), contributing to the optimization of heat and mass transfer processes. Her work emphasizes the Cattaneo-Christov model for non-Fourier heat flux, entropy optimization, and the behavior of motile microorganisms in hybrid nanofluids. By exploring innovative approaches in computational modeling, Dr. Bibi’s research offers insights into sustainable technologies, including solar energy applications and advanced materials in fluid systems. Her interdisciplinary expertise bridges mathematics, engineering, and environmental sustainability, making significant contributions to applied mathematics and energy-efficient designs.🌿🧪

Conclusion 🔚 

Dr. Taqmeem Bibi stands as a strong candidate for the Best Scholar Award due to her exceptional contributions to applied mathematics and fluid mechanics. Her innovative research, robust publication record, and academic excellence underscore her scholarly impact. Addressing areas such as international engagement and diversified research focus could further elevate her profile. Overall, Dr. Bibi’s expertise and achievements make her highly deserving of recognition as an outstanding scholar.

Publications Top Notes 📚

Numerical investigation of transverse hyperbolic nanofluids flow with motile microorganisms using Cattaneo-Christov model

Authors: Faisal Shah, Taqmeem Bibi, D. Zhang

Journal: Alexandria Engineering Journal

Year: 2023

Citations: Impact Factor = 6.2 (Citation details depend on the indexing database but are not provided in the text).

Computational study of tri-hybrid nanofluid flow through permeable stretching sheet with entropy optimization

Authors: Faisal Shah, Taqmeem Bibi

Journal: ZAMM Zeitschrift Fur Angewandte Mathematik und Mechanik

Year: Under Review (expected publication year may depend on acceptance).

Citations: Not applicable yet.

A theoretical study on (TiO2 + Ag)/EO hybrid Casson nanofluid with motile microorganisms in non-Fourier heat flux model

Authors: Muhammad Sagheer, Taqmeem Bibi, Hussan Shehzad

Journal: Multiscale and Multidisciplinary Modeling

Year: Under Review (expected publication year may depend on acceptance).

Citations: Not applicable yet.

Multidisciplinary optimization approaches for entropy generation in Williamson hybrid nanofluid: Computational insights for solar aircraft efficiency

Authors: Faisal Shah, Taqmeem Bibi

Journal: Structural and Multidisciplinary Optimization

Year: Submitted (expected publication year may depend on acceptance).

Citations: Not applicable yet.