Siyuan Li | Theoretical Computer Science | Best Researcher Award

Published on by Math Scientist

Dr. Siyuan Li | Theoretical Computer Science | Best Researcher Award

Dr. Siyuan Li is a dedicated researcher affiliated with Southeast University, holding a Doctorate from the same institution and a Master’s degree from The University of Alabama at Birmingham. With a strong academic foundation, Dr. Li has made notable contributions to scientific research, particularly through publications in SCI-indexed journals and patents, demonstrating expertise in innovation and applied research. Their work reflects a commitment to advancing knowledge in their field, though further details on citation impact, collaborations, and industry engagements would strengthen their profile. Dr. Li’s international academic experience enhances their research perspective, adding to their global credibility. While their contributions position them as a strong candidate for the Best Researcher Award, highlighting editorial roles, professional memberships, and academic leadership would further solidify their standing. Providing a comprehensive research profile, including citation metrics and project details, would enhance their nomination and showcase their full impact in the academic and scientific community.

Professional Profile 

ORCID Profile

Education

Dr. Siyuan Li has a solid academic background, earning a Doctorate from Southeast University and a Master’s degree from The University of Alabama at Birmingham. This educational journey has provided them with a strong theoretical and practical foundation, allowing them to contribute meaningfully to research and innovation. Their advanced degrees demonstrate expertise in their field, equipping them with the necessary analytical and technical skills to undertake complex research projects. By studying in both China and the United States, Dr. Li has gained international exposure, enabling them to engage with diverse academic environments and interdisciplinary research methodologies. Their academic credentials not only highlight their commitment to lifelong learning but also position them as a highly qualified researcher with the potential to drive impactful discoveries in their domain. Continuing to expand their academic qualifications and collaborations will further enhance their contributions to global scientific advancements.

Professional Experience

Dr. Siyuan Li is currently affiliated with Southeast University, where they are actively involved in research, publishing, and patent development. Their work has primarily focused on advancing knowledge through scientific innovation, as evidenced by their patents and publications in SCI-indexed journals. While their exact professional roles and responsibilities are not fully detailed, it is evident that they contribute significantly to their field through research, academic writing, and potential industry collaborations. Engaging with academic institutions and research communities, Dr. Li has demonstrated a strong foundation in applied research. However, further details on teaching experience, leadership roles, and industry engagement would strengthen their professional profile. Expanding involvement in editorial boards, professional organizations, and research grants could further establish their credibility and professional impact. A more comprehensive presentation of their professional contributions would enhance their nomination for prestigious awards and recognitions in academia and industry.

Research Interest

Dr. Siyuan Li’s research interests are rooted in scientific and technological advancements, as demonstrated by their published patents and SCI-indexed journal articles. Their work likely focuses on applied research, contributing to innovations that bridge theoretical concepts with real-world applications. While their exact areas of specialization remain unspecified, their academic background suggests expertise in engineering, computational sciences, or related interdisciplinary fields. Their research interests may also extend to industry-oriented projects, given their involvement in patent development. To further establish a strong research presence, Dr. Li could enhance their profile by detailing specific research projects, collaborations, and citation impact. By engaging in multidisciplinary research, international collaborations, and emerging technological fields, Dr. Li has the potential to make significant contributions to the scientific and academic community. A more detailed articulation of their research focus would strengthen their candidacy for prestigious awards and academic recognition.

Awards and Honors

Dr. Siyuan Li has demonstrated commendable achievements through patents and SCI-indexed journal publications, indicating contributions to research and innovation. While specific awards and honors are not listed, their academic and professional accomplishments suggest eligibility for recognitions such as Best Researcher Award, Outstanding Scientist Award, or Innovation Excellence Awards. To strengthen their award candidacy, highlighting previous recognitions, research grants, award presentations, and institutional honors would be beneficial. Engaging in academic leadership roles, editorial board memberships, and keynote speaker opportunities could further enhance their professional standing. Additionally, participating in international research collaborations and obtaining funding for high-impact projects would position Dr. Li as a leading researcher in their domain. Recognizing their achievements through formal awards would not only validate their contributions but also inspire further advancements in their field. Expanding on previous accolades and institutional recognition would significantly reinforce their standing in the academic and research community.

Conclusion

Dr. Siyuan Li is an accomplished researcher with a strong educational background, international academic exposure, and notable contributions to scientific innovation. Their publications in SCI-indexed journals and patents indicate a commitment to advancing knowledge and developing practical applications in their research field. However, to further enhance their profile, detailed information on research impact, citation index, industry collaborations, and leadership roles should be included. Expanding professional engagement through editorial board appointments, award presentations, and academic leadership roles would further solidify their reputation as a leading researcher. Dr. Li is well-positioned for recognition through research awards, but strengthening their application with additional achievements and professional contributions would make their candidacy even more competitive. By continuing to contribute to interdisciplinary research, international collaborations, and groundbreaking innovations, Dr. Li has the potential to achieve significant recognition and make a lasting impact on the academic and scientific community.

Publications Top Noted

  1. Title: Fully Incomplete Information for Multiview Clustering in Postoperative Liver Tumor Diagnoses

    • Authors: Siyuan Li, Xinde Li
    • Year: 2025
    • Source: Sensors

  2. Title: Analysis of Detection Methods in Massive MIMO Systems

    • Authors: Siyuan Li
    • Year: 2018
    • Source: Journal of Physics: Conference Series

 

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Published on by Math Scientist

Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of Göttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at Göttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of Göttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

 

Yaoshun Fu | Artificial Intelligence in Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. Yaoshun Fu | Artificial Intelligence in Mathematics | Best Researcher Award

Senior Engineer at Beijing Aerospace Era Optoelectronic Technology Co., Ltd, China

Dr. Yaoshun Fu is a distinguished researcher specializing in formal verification, machine theorem proving, and axiomatic set theory. He holds a Ph.D. in Electronic Science and Technology from Beijing University of Posts and Telecommunications (BUPT) and has made significant contributions to mathematical proof automation using Coq-based formal verification. With over 10 research publications, including two JCR Q1 papers as the first author, he has established himself as a leading scholar in his field. His work spans real analysis, topology, algebra, and set theory, with applications in program verification and security. Dr. Fu has also authored two books, secured nine software copyrights, and presented at prestigious international awards. While his research impact is growing, expanding international collaborations and interdisciplinary applications could further enhance his global recognition. His expertise and contributions make him a strong contender for the Best Researcher Award in theoretical and applied mathematics.

Professional Profile 

Scopus Profile

Education

Dr. Yaoshun Fu obtained his Bachelor’s degree in Communication Engineering from Shandong Normal University in 2015. He then pursued his Master’s and Ph.D. degrees in Electronic Science and Technology at Beijing University of Posts and Telecommunications (BUPT) from 2016 to 2022. His doctoral research focused on formal verification, machine theorem proving, and axiomatic set theory, particularly leveraging the Coq proof assistant for mathematical formalization. Throughout his academic journey, he has engaged in cutting-edge research in real analysis, topology, algebra, and formal logic, demonstrating his deep understanding of both theoretical mathematics and computational proof systems. His educational background has provided him with a strong foundation in both mathematical reasoning and practical applications of formal methods, preparing him for a highly impactful research career. His rigorous training in mathematical formalization and theorem proving has positioned him as an emerging expert in the field.

Professional Experience

Dr. Yaoshun Fu has been actively involved in research in formal methods, mathematical logic, and automated theorem proving for several years. During his doctoral studies at BUPT, he worked on multiple projects supported by the National Natural Science Foundation of China, contributing to the development of Coq-based mathematical proof systems. His work has included formalizing real analysis without limits, proving equivalence among completeness theorems of real numbers, and developing machine-proof systems for topology and algebra. As a researcher, he has collaborated with experts in applied mathematics, theoretical computer science, and logic. He has also authored two books and obtained nine software copyrights, demonstrating his ability to translate theoretical research into tangible software solutions. Additionally, he has presented his findings at leading international awards, strengthening his reputation as a scholar in formal verification and theorem proving.

Research Interest

Dr. Yaoshun Fu’s research interests lie in formal verification, machine theorem proving, axiomatic set theory, and mathematical formalization. His primary focus is on using interactive theorem provers such as Coq to develop rigorous, machine-checkable proofs for real analysis, topology, algebra, and logic. He is particularly interested in bridging the gap between human mathematical intuition and computer-assisted proof verification, with applications in program verification, security, and symbolic computation. His research explores automated reasoning techniques, formalizing classical theorems, and ensuring correctness in mathematical software. His expertise extends to constructive mathematics and foundational theories, with an emphasis on improving the reliability and efficiency of formal proof systems. Looking ahead, he aims to expand his research to interdisciplinary applications, such as AI-driven theorem proving, automated logic solvers, and mathematical modeling for secure computing. His work contributes significantly to advancing the field of computer-aided mathematics and proof automation.

Awards and Honors

Dr. Yaoshun Fu has received several prestigious awards in recognition of his academic excellence and research contributions. In 2021, he played a key role as a core member of a student leadership team, earning his group a Top Ten Student Organization award at BUPT. In 2020, he was recognized as an Outstanding Graduate Student Leader for his role as an organizational committee member. His doctoral research was supported by competitive grants, including funding from the National Natural Science Foundation of China, which enabled him to advance his work in formal verification and mathematical theorem proving. Additionally, he has been invited to present at major international awards, further establishing his scholarly reputation. His awards and honors highlight his dedication to academic excellence, leadership, and impactful research, positioning him as a rising star in formal methods and mathematical verification.

Conclusion

Dr. Yaoshun Fu is an accomplished researcher in formal verification, machine theorem proving, and axiomatic set theory, with a strong academic background and extensive research contributions. His expertise in Coq-based formal verification, real analysis, topology, and logic has led to high-impact publications, software developments, and book authorships. His contributions to mathematical proof automation are not only theoretically significant but also have practical implications in program verification and security applications. While his research impact is steadily growing, further international collaborations and interdisciplinary applications could enhance his global recognition. Given his academic excellence, research productivity, and leadership, Dr. Fu is a strong candidate for prestigious research awards. His continued dedication to mathematical formalization and theorem proving promises to push the boundaries of computer-aided mathematics, making him a valuable asset to the scientific community.

Publications Top Noted

  • Title: A Formalization of Topological Spaces in Coq

      • Authors: Sheng Yan, Yaoshun Fu, Dakai Guo, Wensheng Yu
      • Year: July 2022
      • Citations: 5
      • Source: Lecture Notes in Electrical Engineering

  • Title: Formalizing Calculus without Limit Theory in Coq

      • Authors: Yaoshun Fu, Wensheng Yu
      • Year: June 2021
      • Citations: 4
      • Source: Mathematics

  • Title: Formalization of the Equivalence among Completeness Theorems of Real Number in Coq

      • Authors: Yaoshun Fu, Wensheng Yu
      • Year: December 2020
      • Citations: 5
      • Source: Mathematics

  • Title: A Formalization of Properties of Continuous Functions on Closed Intervals

      • Authors: Yaoshun Fu, Wensheng Yu
      • Year: July 2020
      • Citations: 3
      • Source: Lecture Notes in Computer Science

  • Title: A Formal Proof in Coq of Cantor-Bernstein-Schroeder’s Theorem without Axiom of Choice

      • Authors: Xiaoyan Zao, Tianyu Sun, Yaoshun Fu, Wensheng Yu
      • Year: July 2019
      • Citations: 1
      • Source: Conference Paper

  • Title: A Formal Proof in Coq of Cantor-Bernstein-Schroeder’s Theorem without Axiom of Choice

      • Authors: Yaoshun Fu, Tianyu Sun, Wensheng Yu
      • Year: November 2019
      • Citations: Not specified
      • Source: Conference Paper

 

Kaviyarasu M | Graph Theory | Best Researcher Award

Published on by Math Scientist

Assist. Prof. Dr. Kaviyarasu M | Graph Theory | Best Researcher Award

Assistant Professor at Vel Tech Rangarajan Dr Sagunthala R &D institute of Science and Technology, India

Dr. M. Kaviyarasu is an accomplished mathematician and researcher specializing in fuzzy algebra, neutrosophic algebra, graph theory, and functional analysis. With a Ph.D. in Mathematics from VIT University, Vellore, he has over a decade of teaching experience and extensive research contributions in advanced mathematical structures. He has authored two books, published 35 research papers in reputed journals, and holds two patents. Dr. Kaviyarasu actively contributes to the academic community as a reviewer for international journals and serves as a lifetime member of IAENG. His leadership in organizing international awards and involvement in academic committees highlight his commitment to advancing mathematical research. Recognized with the “Best Researcher of the Year 2022” award, he continues to make significant contributions to fuzzy and neutrosophic set applications. Currently an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute, Chennai, he remains dedicated to pioneering research and academic excellence.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. M. Kaviyarasu holds a Ph.D. in Mathematics from VIT University, Vellore, where he specialized in fuzzy algebra and its applications. His academic journey began with a strong foundation in pure and applied mathematics, earning both his Bachelor’s and Master’s degrees with distinction. Passionate about mathematical structures and their real-world applications, he pursued advanced studies in fuzzy sets, neutrosophic algebra, and graph theory, demonstrating exceptional analytical and problem-solving skills. His doctoral research focused on developing novel algebraic models for uncertainty and imprecision, significantly contributing to the field. Dr. Kaviyarasu has also participated in various specialized training programs and workshops on mathematical modeling, functional analysis, and computational techniques, further enriching his expertise. His continuous pursuit of knowledge and research excellence has enabled him to contribute extensively to academia, making significant strides in theoretical and applied mathematics.

Professional Experience

Dr. M. Kaviyarasu has over a decade of experience in teaching and research, mentoring students in advanced mathematical concepts. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, where he actively engages in curriculum development and innovative teaching methodologies. Previously, he held academic positions at renowned institutions, where he played a pivotal role in fostering research initiatives. His professional journey is marked by a commitment to interdisciplinary collaboration, working with experts in applied mathematics, computer science, and engineering to develop cutting-edge solutions. Dr. Kaviyarasu has also contributed as a reviewer for international journals, ensuring the quality and integrity of published research. His leadership in organizing international awards, seminars, and workshops highlights his dedication to advancing mathematical education and research. Through his academic endeavors, he continues to inspire students and young researchers to explore the vast potential of mathematical sciences.

Research Interest

Dr. M. Kaviyarasu’s research interests lie at the intersection of fuzzy algebra, neutrosophic algebra, graph theory, and functional analysis. His work explores novel mathematical frameworks to address uncertainty, vagueness, and indeterminacy in real-world problems. He has made significant contributions to the study of fuzzy group theory, neutrosophic sets, and their applications in decision-making, artificial intelligence, and data science. His research also extends to combinatorial mathematics and graph theory, with applications in network analysis and optimization. Dr. Kaviyarasu’s passion for interdisciplinary research has led him to collaborate with experts in engineering, physics, and computer science to develop innovative mathematical models. His scholarly contributions include over 35 research papers in high-impact journals, two authored books, and two patents, reflecting his commitment to mathematical advancements. His research continues to push the boundaries of theoretical and applied mathematics, contributing valuable insights to the scientific community.

Awards and Honors

Dr. M. Kaviyarasu has been recognized for his outstanding contributions to mathematical research and education. In 2022, he received the prestigious “Best Researcher of the Year” award for his groundbreaking work in fuzzy algebra and its applications. His research achievements have earned him accolades from various academic institutions and research organizations. He is a lifetime member of the International Association of Engineers (IAENG), further cementing his status as a respected figure in the mathematical community. In addition to his research honors, he has been invited as a keynote speaker at numerous international awards, sharing his expertise with scholars and industry professionals. Dr. Kaviyarasu’s commitment to academic excellence and innovation continues to garner recognition, inspiring future mathematicians to explore complex mathematical structures. His contributions to research, teaching, and professional service highlight his dedication to advancing the field of mathematics on a global scale.

Conclusion

Dr. M. Kaviyarasu is a distinguished mathematician, educator, and researcher with expertise in fuzzy and neutrosophic algebra, graph theory, and functional analysis. His academic and professional journey is marked by a commitment to research excellence, interdisciplinary collaboration, and innovative teaching. With over 35 published research papers, two authored books, and two patents, his contributions to mathematical sciences are substantial and impactful. His dedication to mentoring students, organizing academic events, and reviewing research for prestigious journals underscores his role as a leader in the field. Recognized with prestigious awards, he continues to push the frontiers of mathematical research while inspiring the next generation of scholars. As an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute, he remains devoted to fostering academic growth and exploring new mathematical paradigms. Through his work, Dr. Kaviyarasu significantly contributes to the advancement of mathematical knowledge and its applications in science and technology.

Publications Top Noted

  • Title: Application of Complex Neutrosophic Graphs in Hospital Infrastructure Design

    • Authors: M. Alqahtani, M. Kaviyarasu, A. Al-Masarwah, M. Rajeshwari
    • Year: 2024
    • Citations: 17
    • Source: Mathematics 12 (5), 719

  • Title: Complex t-Intuitionistic Fuzzy Graph with Applications of Rubber Industrial Water Wastes

    • Authors: M. Kaviyarasu, M. Alqahtani, M. Rajeshwari, G. Sudalaimuthu
    • Year: 2024
    • Citations: 14
    • Source: Mathematics 12 (13), 1950

  • Title: Fuzzy Sub-Algebras and Fuzzy K-Ideals in INK-Algebras

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2017
    • Citations: 14
    • Source: International Journal of Pure and Applied Mathematics 113 (6), 47-55

  • Title: Fuzzy p-Ideal in INK-Algebra

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2020
    • Citations: 13
    • Source: Journal of Xian University of Architecture and Technology 12 (3), 4746-4752

  • Title: Review on BCI/BCK-Algebras and Development

    • Authors: M. Kaviyarasu, K. Indhira
    • Year: 2017
    • Citations: 13
    • Source: Infinite Study

  • Title: Identifying Internet Streaming Services Using Max Product of Complement in Neutrosophic Graphs

    • Authors: W.F. Al-Omeri, M. Kaviyarasu, M. Rajeshwari
    • Year: 2024
    • Citations: 12
    • Source: International Journal of Neutrosophic Science

  • Title: The Connectivity Indices Concept of Neutrosophic Graph and Their Application in Computer Network, Highway System, and Transport Network Flow

    • Authors: M. Kaviyarasu, M. Aslam, F. Afzal, M. Mohammed Saeed, A. Mehmood, et al.
    • Year: 2024
    • Citations: 11
    • Source: Scientific Reports 14 (1), 4891

  • Title: Neutrosophic Set in INK-Algebra

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2020
    • Citations: 8
    • Source: Infinite Study

  • Title: On r-Edge Regular Neutrosophic Graphs

    • Authors: M. Kaviyarasu
    • Year: 2023
    • Citations: 7
    • Source: Neutrosophic Sets and Systems 53, 239-250

  • Title: Bipolar Fuzzy Graph on Certain Topological Indices

    • Authors: M. Rajeshwari, R. Murugesan, M. Kaviyarasu, C. Subrahmanyam
    • Year: 2022
    • Citations: 7
    • Source: Journal of Algebraic Statistics 13 (3), 2476-2481

  • Title: Direct Product of Intuitionistic Fuzzy K-Ideals of INK-Algebras

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2019
    • Citations: 7
    • Source: Materials Today: Proceedings 16, 449-455

  • Title: Study on Neutrosophic Graph with Application on Earthquake Response Center in Japan

    • Authors: W.F. Al-Omeri, M. Kaviyarasu
    • Year: 2024
    • Citations: 6
    • Source: Symmetry 16 (6), 743

  • Title: Circular Economy Strategies to Promote Sustainable Development Using t-Neutrosophic Fuzzy Graph

    • Authors: M. Kaviyarasu, H. Rashmanlou, S. Kosari, S. Broumi, R. Venitha, et al.
    • Year: 2024
    • Citations: 6
    • Source: Neutrosophic Sets and Systems 72 (1), 9

  • Title: Interval-Valued Fuzzy Subalgebra and Fuzzy INK-Ideal in INK-Algebra

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran, J. Kavikumar
    • Year: 2018
    • Citations: 6
    • Source: Advances in Algebra and Analysis: International Conference on Advances in Mathematics

  • Title: Introduction on INK-Algebras

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2017
    • Citations: 6
    • Source: International Journal of Pure and Applied Mathematics 115 (9), 1-9

 

Ye Li | Information Theory | Best Researcher Award

Published on by Math Scientist

Dr. Ye Li | Information Theory | Best Researcher Award

Lecturer at Nanjing University of Information Science and Technology, China

Ye Li is a lecturer and master’s supervisor at Nanjing University of Information Science and Technology, specializing in wireless laser communication, vortex light field modulation, and turbulence effects in seawater and the atmosphere. He holds a degree in Control Science and Engineering from Jiangnan University and has made significant research contributions, publishing 15 SCI papers, including four TOP-tier publications, as the first author. He has also secured a National Natural Science Foundation of China (NSFC) project, demonstrating his research leadership. Additionally, he serves as a reviewer for renowned journals such as Optics Express, Optics Communication, and Applied Optics, reflecting his expertise in optical communication. While his strong publication record and research funding establish him as a competitive candidate for the Best Researcher Award, expanding international collaborations, targeting top-tier journals, and enhancing industry applications could further strengthen his impact and global recognition in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Ye Li earned his degree in Control Science and Engineering from Jiangnan University, a prestigious institution known for its strong emphasis on engineering and applied sciences. His academic background has provided him with a deep understanding of control systems, signal processing, and optical communication technologies. Throughout his studies, he gained expertise in advanced mathematical modeling, automation, and system optimization, which laid the foundation for his research in wireless laser communication and turbulence effects in complex environments. His educational journey equipped him with the technical skills and theoretical knowledge required to tackle real-world challenges in optical and laser-based communication systems. With a strong foundation in engineering principles, Ye Li has transitioned seamlessly into academia, where he continues to push the boundaries of optical and photonic research, contributing to emerging fields such as vortex light field modulation and seawater-atmosphere turbulence modeling through his innovative research and scientific contributions.

Professional Experience

Ye Li currently serves as a lecturer and master’s supervisor at Nanjing University of Information Science and Technology, where he plays a key role in mentoring students and advancing research in optical communication. As an active researcher, he has published 15 SCI papers, including four top-tier publications, demonstrating his expertise in his field. His ability to secure funding, including a project from the National Natural Science Foundation of China (NSFC), highlights his research leadership and ability to drive independent projects. Beyond academia, Ye Li actively contributes to the scientific community by serving as a peer reviewer for high-impact journals such as Optics Express, Optics Communication, and Applied Optics, showcasing his reputation as a trusted expert in optical systems. His professional journey is marked by a dedication to pushing the frontiers of wireless laser communication, photonics, and turbulence modeling, positioning him as a rising figure in modern optical research.

Research Interest

Ye Li’s research focuses on wireless laser communication, vortex light field modulation, and turbulence effects in seawater and atmospheric environments. His work aims to improve the efficiency, security, and reliability of optical communication systems, which are crucial for high-speed data transmission in complex environments. By studying the modulation of vortex light fields, he contributes to advancing structured light technology, enabling more robust and efficient optical communication channels. Additionally, his research on seawater and atmospheric turbulence plays a significant role in developing technologies for remote sensing, underwater communication, and aerospace applications. His interdisciplinary approach, combining optical physics, signal processing, and engineering, positions him at the forefront of photonic research. With a strong emphasis on practical applications, his studies have implications for next-generation communication systems, defense technologies, and environmental monitoring, making his research highly relevant in both academic and industrial sectors.

Awards and Honors

Ye Li has earned recognition for his contributions to optical communication and photonics research. His most notable achievement is securing a National Natural Science Foundation of China (NSFC) research project, a highly competitive grant that underscores the importance and impact of his work. Publishing 15 SCI-indexed papers, including four in top-tier journals, is a testament to his dedication to high-quality research. Additionally, his role as a reviewer for prestigious journals such as Optics Express, Optics Communication, and Applied Optics highlights his influence in the scientific community. While he has not yet received widespread international recognition, his research productivity, secured funding, and peer-review contributions indicate strong potential for future awards in optical communication and photonics. As he continues to expand his research portfolio and collaborations, Ye Li is well-positioned to achieve further distinctions and recognition in his field.

Conclusion

Ye Li is an emerging researcher making significant contributions to wireless laser communication, vortex light field modulation, and optical turbulence modeling. With a strong educational foundation in Control Science and Engineering, he has built a robust academic career as a lecturer and master’s supervisor at Nanjing University of Information Science and Technology. His impressive publication record, funding achievements, and peer-review activities position him as a respected figure in optical communication research. While his work is already making an impact, expanding international collaborations, targeting higher-impact journals, and increasing real-world applications will further enhance his global recognition. His strong technical expertise, dedication to advancing photonic research, and contributions to the scientific community make him a promising candidate for prestigious research awards in the future.

Publications Top Noted

  1. Title: Neural Network

    • Authors: Y. Xie (Yaqin), T. Wang (Teqi), Z. Xing (Ziling), Y. Zhang (Yu), Y. Li (Ye)
    • Year: 2022
    • Citations: 4
    • Source: Arabian Journal for Science and Engineering

  2. Title: Displacements of a Spatially Limited Light Beam in the Slant Path of Oceanic Turbulence

    • Authors: Y. Li (Ye), B. Li (Baolong), H. Jiang (Haolin)
    • Year: 2022
    • Citations: 7
    • Source: Optics Express

  3. Title: An Improved Indoor Location Algorithm Based on Backpropagation Neural Network

    • Authors: Xie, Y., …, Li, Y.
    • Year: 2022
    • Citations: [Not provided]
    • Source: Arabian Journal for Science and Engineering, Volume 47, Issue 11, November 2022

  4. Title: Influence of Structural Length-Scale Sensitivities on Hermite–Gaussian Rectangular Vortex Beam Propagation in Biological Tissues

    • Authors: Li, Y., …, Xie, Y.
    • Year: 2022
    • Citations: [Not provided]
    • Source: Journal of Modern Optics, Volume 69, Issue 19, 2022

 

 

Rushu Zhuang | Algebra | Women Researcher Award

Published on by Math Scientist

Prof. Rushu Zhuang | Algebra | Women Researcher Award

Lecturer at China University of Geosciences, Wuhan, China

Dr. Zhuang Rushu is a dedicated researcher specializing in Lie algebras and quantum groups, currently pursuing her Ph.D. in Pure Mathematics at East China Normal University. She has made significant contributions to algebraic structures, particularly in admissible quantum affine algebras and their PBW basis, with multiple publications in reputable journals such as Communications in Algebra and Journal of Geometry and Physics. Her research is recognized in the Chinese Mathematical Society Classification (T2, T3) and CAS Ranking (Zone 3). She has also gained teaching experience at Fudan High School Pudong Campus, mentoring students in mathematics. An early participant in research, she contributed to an undergraduate innovation project that led to a published study on ω-Lie algebras. While her work is highly theoretical, expanding her international collaborations and outreach for women in STEM would enhance her impact. With her strong academic foundation and research achievements, she is a promising candidate for a Women Researcher Award.

Professional Profile 

Scopus Profile

Education

Dr. Zhuang Rushu has pursued an extensive academic journey in pure mathematics, specializing in Lie algebras and quantum groups. She is currently a Ph.D. candidate at East China Normal University, where she is engaged in advanced research in algebraic structures. Prior to her doctoral studies, she completed her M.S. in Pure Mathematics from the same institution (2017–2020), gaining expertise in areas such as Hecke algebras, Hopf algebras, and representation theory. Her undergraduate studies in Mathematics and Applied Mathematics were completed at Northeast Normal University (2013–2017), where she actively participated in research projects, laying the foundation for her specialization in algebra. Her academic training has equipped her with strong theoretical and analytical skills, enabling her to make substantial contributions to the field. Throughout her education, she has developed a solid background in homological algebra, finite group representations, and quantum affine algebras, positioning her as a promising researcher in mathematics.

Professional Experience

Dr. Zhuang Rushu has demonstrated a strong commitment to both research and teaching. During her doctoral studies, she has been actively involved in mathematical research, publishing papers in well-regarded journals and collaborating with leading mathematicians. In addition to her research contributions, she gained practical teaching experience as a teacher at Fudan High School Pudong Campus (2019), where she conducted after-class exercises and provided tutoring. This experience reflects her ability to communicate complex mathematical concepts effectively, an essential skill for both academia and mentorship. Furthermore, she participated in an undergraduate innovation and entrepreneurship project, where she contributed to the classification of ω-Lie algebras under the guidance of Professor Chen Yin. Her professional experience highlights her dual expertise in both theoretical research and student engagement, making her well-equipped for future academic roles. By combining research with mentorship, she continues to contribute to the development of mathematical sciences and education.

Research Interest

Dr. Zhuang Rushu’s research primarily focuses on Lie algebras and quantum groups, which play a fundamental role in modern algebra, representation theory, and mathematical physics. Her work includes studying admissible quantum affine algebras, their PBW basis, and RLL-realizations of two-parameter quantum affine algebras in different types. She is particularly interested in exploring the structural properties and classification of algebraic systems, including Hopf algebras, Hecke algebras, and finite group representation theory. Her research also intersects with areas such as homological algebra and derived categories, providing deep insights into algebraic frameworks. She has published extensively on these topics in journals like Communications in Algebra and Journal of Geometry and Physics. While her research is largely theoretical, it has potential applications in mathematical physics, coding theory, and cryptography. Moving forward, expanding her work into interdisciplinary areas could further enhance the impact of her findings in applied mathematics.

Awards and Honors

Dr. Zhuang Rushu has earned recognition for her academic and research excellence. She has published multiple papers in well-established mathematical journals, with her work classified in high-ranking categories by the Chinese Mathematical Society and CAS. Her research on ω-Lie algebras, completed as part of an undergraduate innovation project, was recognized with publication in Communications in Algebra, highlighting her early contributions to mathematical research. Additionally, her collaborative work on quantum affine algebras and their applications has been acknowledged within the algebra research community. Although she has not listed specific individual awards, her selection for significant research collaborations and publications in internationally recognized mathematical journals indicates her growing influence in the field. To further enhance her academic profile, seeking research grants, fellowships, and international mathematics awards could provide greater visibility and recognition for her contributions to pure mathematics.

Conclusion

Dr. Zhuang Rushu is an emerging researcher in the field of Lie algebras and quantum groups, demonstrating remarkable potential through her rigorous academic training and research contributions. Her strong foundation in algebraic structures, combined with publications in reputable journals, positions her as a promising mathematician. Her work in admissible quantum affine algebras and two-parameter quantum affine algebras has advanced the theoretical understanding of algebraic systems. While she has already made significant contributions, expanding her international collaborations, independent research leadership, and outreach for women in STEM would further strengthen her academic impact. Her teaching experience at Fudan High School Pudong Campus reflects her ability to mentor young students, contributing to mathematics education. With continued focus on interdisciplinary applications and broader mathematical outreach, Dr. Zhuang is well on her way to establishing herself as a leading researcher in her field, making her a strong candidate for future academic and research awards.

Publications Top Noted

  • Title: “Derivations, Automorphisms, and Representations of Complex ω-Lie Algebras”

    • Authors: Yin Chen, Ziping Zhang, Runxuan Zhang, Rushu Zhuang
    • Year: 2018
    • Citation: Chen, Y., Zhang, Z., Zhang, R., & Zhuang, R. (2018). Derivations, Automorphisms, and Representations of Complex ω-Lie Algebras. Communications in Algebra, 46(2), 708–726.

  • Title: “A Novel Admissible Quantum Affine Algebra of Type A1(1) and Its PBW Basis”

    • Authors: Naihong Hu, Rushu Zhuang
    • Year: 2021
    • Citation: Hu, N., & Zhuang, R. (2021). A Novel Admissible Quantum Affine Algebra of Type A1(1) and Its PBW Basis. In Hopf Algebras, Tensor Categories, and Related Topics (pp. 153–170). American Mathematical Society.

  • Title: “Another Admissible Quantum Affine Algebra of Type A1(1) with Quantum Weyl Group”

    • Authors: Ge Feng, Naihong Hu, Rushu Zhuang
    • Year: 2021
    • Citation: Feng, G., Hu, N., & Zhuang, R. (2021). Another Admissible Quantum Affine Algebra of Type A1(1) with Quantum Weyl Group. Journal of Geometry and Physics, 165, 104218.

  • Title: “RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Dn(1)”

    • Authors: Rushu Zhuang, Naihong Hu, Xiao Xu
    • Year: Forthcoming
    • Citation: Zhuang, R., Hu, N., & Xu, X. (Forthcoming). RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Dn(1). Pacific Journal of Mathematics.

  • Title: “RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Bn(1)”

    • Authors: Naihong Hu, Xiao Xu, Rushu Zhuang
    • Year: Submitted
    • Citation: Hu, N., Xu, X., & Zhuang, R. (Submitted). RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Bn(1).

  • Title: “Admissible Quantum Affine Algebra of Type A1(1), Drinfeld Realization and Vertex Representation”

    • Authors: Naihong Hu, Rushu Zhuang
    • Year: Preprint
    • Citation: Hu, N., & Zhuang, R. (Preprint). Admissible Quantum Affine Algebra of Type A1(1), Drinfeld Realization and Vertex Representation.

 

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Research Assistant at Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy, Pakistan.

Saif Ur Rehman is a dedicated researcher in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations, with a strong academic and research background. He has worked as a Research Assistant at the National Research Council, Italy, and previously at the University of Calabria, Italy, and the University of Management and Technology, Pakistan. His research focuses on nanofluid dynamics, MHD flows, bioconvection, and heat transfer, leading to multiple Q1 and Q2 publications in high-impact journals such as Nanomaterials, Mathematics, and Waves in Random and Complex Media. He has received merit-based scholarships and a Research Publication Award, demonstrating his academic excellence. Additionally, he possesses strong technical skills in Python, MATLAB, C++, and LaTeX, aiding in his numerical modeling research. With international research exposure and a growing publication record, Saif Ur Rehman is an emerging scholar in applied mathematics, aiming to expand his contributions to mathematical modeling and computational sciences.

Professional Profile 

Google Scholar

Education

Saif Ur Rehman holds a Master of Science in Mathematics from the University of Management and Technology, Lahore, Pakistan (2019–2021), where he specialized in Advanced Numerical Analysis, Fluid Dynamics, and Differential Equations. His master’s thesis focused on the MHD Williamson Nanofluid Flow over a Slender Elastic Sheet in the Presence of Bioconvection. Before this, he earned a Bachelor of Science in Mathematics from Government College University, Faisalabad (2015–2019), securing a 3.55/4.00 GPA. His undergraduate studies included Fluid Mechanics, Numerical Analysis, Real and Complex Analysis, and C++ Programming, laying a strong foundation for his research in computational mathematics. Throughout his academic journey, he received multiple merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) and a fully funded master’s scholarship, reflecting his dedication and academic excellence. His education has equipped him with expertise in mathematical modeling, numerical simulations, and applied mathematics, which he continues to explore in his research.

Professional Experience

Saif Ur Rehman has gained extensive research experience through multiple roles at renowned international institutions. He is currently a Research Assistant at the National Research Council, Genoa, Italy (2024–Present), working on Optimal Robust Shape Control for Distributed Parameter Systems. Previously, he was a University Research Assistant at the University of Calabria, Italy (2023–2024), focusing on applications of heat and mass transfer. His earlier role as a Research Assistant at the University of Management and Technology, Pakistan (2021–2023) involved a major research project on Numerical Methods for Partial Differential Equations, where he contributed to multiple high-impact publications. Alongside research, he worked as a Visiting Lecturer in Mathematics (2021–2022), teaching Calculus, Linear Algebra, Fluid Dynamics, and Numerical Analysis at the undergraduate level. His professional experience demonstrates his ability to conduct applied mathematics research, develop numerical solutions, and contribute to theoretical and computational fluid dynamics.

Research Interest

Saif Ur Rehman’s research is deeply rooted in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations (PDEs), with a strong focus on heat and mass transfer, MHD flows, and bioconvection. He has extensively studied the dynamics of nanofluids, micropolar fluids, and dusty fluids under various physical constraints, contributing significantly to theoretical and computational modeling in applied mathematics. His work integrates Artificial Neural Networks (ANNs) and Machine Learning techniques to enhance numerical simulations and solve complex mathematical physics problems. His research contributions, published in Q1 and Q2 impact factor journals, cover topics such as the effects of Lorentz and Coriolis forces, Darcy–Forchheimer flow models, and stability analysis of fluid flows. With expertise in Python, MATLAB, C++, and LaTeX, he continues to explore innovative numerical methods for solving real-world mathematical problems, aiming to bridge the gap between theory and industrial applications.

Awards and Honors

Saif Ur Rehman has received multiple scholarships and research excellence awards in recognition of his academic achievements. He was honored with the Research Publication Award (2022) at the University of Management and Technology, Pakistan, for his outstanding contributions to applied mathematics research. His academic journey has been supported by fully funded merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) during his bachelor’s studies and a fully funded master’s scholarship for his postgraduate studies. Additionally, he was awarded a Prime Minister’s Laptop under the Government of Pakistan’s Higher Education Initiative, recognizing his academic excellence. Beyond research, he has demonstrated leadership and management skills, serving as a class representative throughout his bachelor’s studies and actively participating in academic societies and awards. His awards reflect his dedication to mathematical research, academic excellence, and contributions to the global scientific community.

Conclusion

Saif Ur Rehman is an emerging researcher in Computational Fluid Dynamics, Numerical Analysis, and Partial Differential Equations, with a strong academic background and international research exposure. His work in nanofluid dynamics, MHD flows, and heat transfer has resulted in high-impact publications and significant contributions to applied mathematics. His expertise in Python, MATLAB, and numerical modeling techniques has strengthened his research capabilities. Having worked at renowned institutions in Italy and Pakistan, he has gained experience in both theoretical and applied research, positioning himself as a promising scholar in mathematical modeling and computational sciences. His awards, scholarships, and research achievements demonstrate his dedication to scientific innovation. Moving forward, he aims to further his research in numerical simulations, machine learning applications in CFD, and advanced mathematical modeling, contributing to both academic advancements and real-world engineering applications.

Publications Top Noted

  • Title: Insight into significance of bioconvection on MHD tangent hyperbolic nanofluid flow of irregular thickness across a slender elastic surface

    • Authors: MZ Ashraf, SU Rehman, S Farid, AK Hussein, B Ali, NA Shah, W Weera
    • Year: 2022
    • Citations: 92
    • Source: Mathematics, 10(15), 2592

  • Title: Numerical computation of buoyancy and radiation effects on MHD micropolar nanofluid flow over a stretching/shrinking sheet with heat source

    • Authors: SU Rehman, A Mariam, A Ullah, MI Asjad, MY Bajuri, BA Pansera, et al.
    • Year: 2021
    • Citations: 86
    • Source: Case Studies in Thermal Engineering, 25, 100867

  • Title: Micropolar dusty fluid: Coriolis force effects on dynamics of MHD rotating fluid when Lorentz force is significant

    • Authors: Q Lou, B Ali, SU Rehman, D Habib, S Abdal, NA Shah, JD Chung
    • Year: 2022
    • Citations: 84
    • Source: Mathematics, 10(15), 2630

  • Title: The Casson dusty nanofluid: Significance of Darcy–Forchheimer law, magnetic field, and non-Fourier heat flux model subject to stretch surface

    • Authors: SU Rehman, N Fatima, B Ali, M Imran, L Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 72
    • Source: Mathematics, 10(16), 2877

  • Title: MHD Williamson nanofluid flow over a slender elastic sheet of irregular thickness in the presence of bioconvection

    • Authors: F Wang, MI Asjad, SU Rehman, B Ali, S Hussain, TN Gia, T Muhammad
    • Year: 2021
    • Citations: 63
    • Source: Nanomaterials, 11(9), 2297

  • Title: Significance of dust particles, nanoparticles radius, Coriolis and Lorentz forces: The case of Maxwell dusty fluid

    • Authors: Y Wei, SU Rehman, N Fatima, B Ali, L Ali, JD Chung, NA Shah
    • Year: 2022
    • Citations: 36
    • Source: Nanomaterials, 12(9), 1512

  • Title: Computational analysis for bioconvection of microorganisms in Prandtl nanofluid Darcy–Forchheimer flow across an inclined sheet

    • Authors: J Wang, Z Mustafa, I Siddique, M Ajmal, MMM Jaradat, SU Rehman, B Ali, et al.
    • Year: 2022
    • Citations: 23
    • Source: Nanomaterials, 12(11), 1791

  • Title: First solution of fractional bioconvection with power law kernel for a vertical surface

    • Authors: MI Asjad, S Ur Rehman, A Ahmadian, S Salahshour, M Salimi
    • Year: 2021
    • Citations: 18
    • Source: Mathematics, 9(12), 1366

  • Title: Dynamics of Eyring–Powell nanofluids when bioconvection and Lorentz forces are significant: The case of a slender elastic sheet of variable thickness with porous medium

    • Authors: A Manan, SU Rehman, N Fatima, M Imran, B Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 13
    • Source: Mathematics, 10(17), 3039

  • Title: Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

    • Authors: M Ishaq, SU Rehman, MB Riaz, M Zahid
    • Year: 2024
    • Citations: 10
    • Source: Alexandria Engineering Journal, 91, 50-69

 

Thomas Kotoulas | Mathematical Physics | Best Researcher Award

Published on by Math Scientist

Dr. Thomas Kotoulas | Mathematical Physics | Best Researcher Award

Researcher at Aristotle University of Thessaloniki, Greece.

Dr. Thomas Kotoulas is a distinguished researcher specializing in Newtonian Dynamics and Celestial Mechanics, with a prolific academic record comprising 41 refereed journal articles, including 18 monographs. His research spans critical areas such as the restricted three-body problem, periodic orbit computation, symplectic mapping models, and inverse problems in Newtonian dynamics, with applications in astronomy and galactic dynamics. He has been actively involved in funded research projects and received prestigious fellowships, including one from the National Foundation of Fellowships (I.K.Y.). Recognized for his outstanding peer-review contributions, he has been awarded the Outstanding Reviewer Award by Research in Astronomy and Astrophysics and acknowledged by Astrophysics and Space Science. He has reviewed for 13 international journals and contributed to Mathematical Reviews. With his extensive work in celestial mechanics, his expertise plays a crucial role in understanding planetary and asteroid dynamics, making him a strong candidate for the Best Researcher Award.

Professional Profile 

Google Scholar

Education

Dr. Thomas Kotoulas holds a B.Sc. in Physics from the Aristotle University of Thessaloniki (A.U.Th.), where he graduated with a very good distinction (7.71/10) in 1995. He pursued his Ph.D. in Celestial Mechanics and Dynamical Systems at the same institution, completing his thesis, “Dynamical evolution of small bodies at resonant areas in the Outer Solar System”, in 2003 with highest honors (Excellent). During his doctoral studies, he was awarded a fellowship from the National Foundation of Fellowships (I.K.Y.), recognizing his academic excellence. His postdoctoral research included significant contributions to the study of the restricted three-body problem, funded by the Greek Ministry of Education and the European Community. His educational background, rooted in classical physics, dynamical systems, and celestial mechanics, laid the foundation for his impactful career in Newtonian dynamics, orbital mechanics, and inverse problems in physics, with direct applications in astronomy and galactic dynamics.

Professional Experience

Dr. Kotoulas has built an impressive career in celestial mechanics and dynamical systems, contributing extensively through research, peer review, and mentorship. He has worked as a postdoctoral researcher for over five years, with projects focusing on the dynamics of the restricted three-body problem and applications in asteroid and Kuiper Belt studies. His professional journey includes participation in the EPEAEK II PYTHAGORAS research project, where he played a key role in modeling planetary resonances. He has been a reviewer for over 13 prestigious scientific journals, including Celestial Mechanics and Dynamical Astronomy, Astronomy and Astrophysics, and Monthly Notices of the Royal Astronomical Society (MNRAS). Additionally, he has authored 41 research papers, 18 of which are monographs, showcasing his expertise in orbital stability, periodic orbits, and inverse problems. His experience solidifies his reputation as a leading figure in Newtonian dynamics and celestial mechanics.

Research Interests

Dr. Kotoulas’ research is deeply rooted in Newtonian dynamics, celestial mechanics, and inverse problems in physics, with a strong focus on planetary motion, asteroid dynamics, and resonance stability. His work on the restricted three-body problem involves studying periodic orbits, resonance phenomena, and dynamical stability, with applications in asteroid belt studies, planetary migration, and Kuiper Belt dynamics. He has also made significant contributions to the inverse problem of Newtonian dynamics, using differential equations to reconstruct gravitational force fields from observed orbital data. His research integrates mathematical modeling, computational methods, and astrophysical applications, contributing to a deeper understanding of planetary system evolution. Additionally, his expertise in symplectic mapping models, spectral analysis of orbits, and stability analysis has provided new insights into long-term orbital behaviors and galactic dynamics, positioning him as a key contributor to the field of astrodynamics and dynamical astronomy.

Awards and Honors

Dr. Kotoulas has received numerous awards and distinctions for his contributions to celestial mechanics and dynamical astronomy. He was recognized as one of the best external reviewers by Research in Astronomy and Astrophysics in 2022, earning the Outstanding Reviewer Award. Additionally, he received formal recognition from Astrophysics and Space Science for his invaluable peer-review contributions. His research excellence has been acknowledged through a prestigious fellowship from the National Foundation of Fellowships (I.K.Y.), awarded during his Ph.D. studies. His dedication to advancing celestial mechanics is further reflected in his role as a registered reviewer for Mathematical Reviews, where he has contributed expert evaluations of influential research papers. These honors underscore his exceptional impact in the field, his commitment to scientific integrity, and his standing as a respected researcher in Newtonian dynamics and astrophysics.

Conclusion

Dr. Thomas Kotoulas is a renowned researcher in celestial mechanics, Newtonian dynamics, and inverse problems in physics, with an extensive academic, research, and professional portfolio. His contributions to orbital stability, planetary resonance, and dynamical system modeling have provided valuable insights into planetary and asteroid motion. With 41 research publications, 18 monographs, multiple fellowships, and prestigious reviewer awards, he has established himself as a leading figure in astrophysical research. His dedication to advancing celestial mechanics, combined with his active role in peer review and academic mentorship, makes him a highly deserving candidate for the Best Researcher Award. His work continues to shape the understanding of orbital mechanics and planetary system evolution, reinforcing his position as a respected scientist in the field of dynamical astronomy and mathematical physics.

Publications Top Noted

  • Planar periodic orbits in exterior resonances with Neptune

    • Authors: G. Voyatzis, T. Kotoulas
    • Year: 2005
    • Citations: 44
    • Source: Planetary and Space Science, 53(11), 1189-1199

  • Comparative study of the 2:3 and 3:4 resonant motion with Neptune: an application of symplectic mappings and low-frequency analysis

    • Authors: T. Kotoulas, G. Voyatzis
    • Year: 2004
    • Citations: 43
    • Source: Celestial Mechanics and Dynamical Astronomy, 88, 343-363

  • On the stability of the Neptune Trojans

    • Authors: R. Dvorak, R. Schwarz, Á. Süli, T. Kotoulas
    • Year: 2007
    • Citations: 33
    • Source: Monthly Notices of the Royal Astronomical Society, 382(3), 1324-1330

  • Symmetric and nonsymmetric periodic orbits in the exterior mean motion resonances with Neptune

    • Authors: G. Voyatzis, T. Kotoulas, J.D. Hadjidemetriou
    • Year: 2005
    • Citations: 31
    • Source: Celestial Mechanics and Dynamical Astronomy, 91, 191-202

  • On the 2/1 resonant planetary dynamics – periodic orbits and dynamical stability

    • Authors: G. Voyatzis, T. Kotoulas, J.D. Hadjidemetriou
    • Year: 2009
    • Citations: 30
    • Source: Monthly Notices of the Royal Astronomical Society, 395(4), 2147-2156

  • Resonant periodic orbits of trans-Neptunian objects

    • Authors: T.A. Kotoulas, J.D. Hadjidemetriou
    • Year: 2002
    • Citations: 22
    • Source: Earth, Moon, and Planets, 91, 63-93

  • Three-dimensional periodic orbits in exterior mean motion resonances with Neptune

    • Authors: T.A. Kotoulas, G. Voyatzis
    • Year: 2005
    • Citations: 21
    • Source: Astronomy & Astrophysics, 441(2), 807-814

  • Homogeneous two-parametric families of orbits in three-dimensional homogeneous potentials

    • Authors: G. Bozis, T.A. Kotoulas
    • Year: 2005
    • Citations: 21
    • Source: Inverse Problems, 21(1), 343

  • Planar retrograde periodic orbits of the asteroids trapped in two-body mean motion resonances with Jupiter

    • Authors: T. Kotoulas, G. Voyatzis
    • Year: 2020
    • Citations: 20
    • Source: Planetary and Space Science, 182, 104846

  • On the bifurcation and continuation of periodic orbits in the three-body problem

    • Authors: K.I. Antoniadou, G. Voyatzis, T. Kotoulas
    • Year: 2011
    • Citations: 20
    • Source: International Journal of Bifurcation and Chaos, 21(08), 2211-2219

  • Three-dimensional potentials producing families of straight lines (FSL)

    • Authors: G. Bozis, T.A. Kotoulas
    • Year: 2004
    • Citations: 19
    • Source: Rendiconti del Seminario della Facoltà di Scienze dell’Università di …

  • The dynamics of the 1:2 resonant motion with Neptune in the 3D elliptic restricted three-body problem

    • Authors: T.A. Kotoulas
    • Year: 2005
    • Citations: 17
    • Source: Astronomy & Astrophysics, 429(3), 1107-1115

  • Retrograde periodic orbits in 1/2, 2/3 and 3/4 mean motion resonances with Neptune

    • Authors: T. Kotoulas, G. Voyatzis
    • Year: 2020
    • Citations: 15
    • Source: Celestial Mechanics and Dynamical Astronomy, 132 (6-7), 33

  • Two-parametric families of orbits in axisymmetric potentials

    • Authors: T.A. Kotoulas, G. Bozis
    • Year: 2006
    • Citations: 12
    • Source: Journal of Physics A: Mathematical and General, 39(29), 9223

  • Construction of 3D potentials from a preassigned two-parametric family of orbits

    • Authors: M.C. Anisiu, T.A. Kotoulas
    • Year: 2006
    • Citations: 11
    • Source: Inverse Problems, 22(6), 2255

  • The dynamical stability of a Kuiper Belt-like region

    • Authors: A. Celletti, T. Kotoulas, G. Voyatzis, J. Hadjidemetriou
    • Year: –
    • Citations: 10
    • Source: Monthly Notices of the Royal Astronomical Society, 378(3), 1153-1164

 

Meichen Feng | Data Science | Best Researcher Award

Published on by Math Scientist

Prof. Meichen Feng | Data Science | Best Researcher Award

Professor at Shanxi Agricultural University, China.

Feng Meichen is a distinguished professor at Shanxi Agricultural University, specializing in crop ecology, precision agriculture, and agricultural information technology. As the Deputy Dean of the College of Agriculture, she has led 22 research projects, authored 82 SCI/Scopus-indexed papers, and secured 18 patents, demonstrating a strong commitment to advancing sustainable agriculture. With 988 citations and an H-index of 19, her work has significantly impacted agricultural innovation and technology. She has published 5 books, contributed to multiple academic committees, and serves on the editorial boards of leading agricultural journals. Her research focuses on improving crop yield, resource efficiency, and environmental sustainability, benefiting both academia and local farming communities. While her expertise is well-recognized in China, expanding global collaborations could further enhance her research impact. With a remarkable career in agricultural research and innovation, Feng Meichen is an outstanding candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Feng Meichen holds an advanced degree in agriculture and crop ecology, equipping her with a deep understanding of agricultural information technology, precision farming, and ecological sustainability. Her academic journey has been dedicated to exploring innovative agricultural techniques that improve productivity while ensuring environmental sustainability. Through extensive research and continuous professional development, she has gained expertise in 3S technology (GIS, GPS, and remote sensing) and its application in modern agriculture. Her education has provided a strong foundation for her contributions to precision agriculture, crop management, and smart farming technologies. With a commitment to advancing agricultural science, she has successfully integrated academic knowledge with practical applications, benefiting both researchers and farming communities. Her ability to translate theoretical concepts into real-world solutions has made her a recognized leader in the field of crop science and agricultural technology.

Professional Experience

As a Professor and Deputy Dean at the College of Agriculture, Shanxi Agricultural University, Feng Meichen has established herself as a leader in agricultural research and education. She has successfully led 22 major research projects, contributing to advancements in crop ecology, precision farming, and smart agriculture. Her expertise extends beyond academia, as she actively collaborates with government agencies, research institutions, and industry leaders to develop sustainable farming practices. She has authored 82 peer-reviewed journal articles, secured 18 patents, and published 5 books, showcasing her multidisciplinary expertise. Additionally, she serves on the editorial boards of prestigious agricultural journals, including the Journal of Smart Agriculture and Shanxi Agricultural Sciences. She is also a member of multiple professional committees, influencing agricultural policies and research directions in China. Her extensive academic, research, and administrative experience highlights her dedication to advancing agricultural science and technology for long-term sustainability.

Research Interests

Feng Meichen’s research focuses on crop ecology, precision agriculture, and agricultural information technology, with an emphasis on sustainable and smart farming solutions. She integrates 3S technology (GIS, GPS, remote sensing) with crop production models to enhance agricultural efficiency, resource management, and environmental conservation. Her work aims to optimize crop yield, reduce environmental impact, and improve agricultural decision-making processes. She is particularly interested in applying artificial intelligence and big data analytics to develop predictive models for crop health monitoring and precision irrigation systems. Her research extends to organic dryland agriculture, where she explores climate-resilient farming techniques. By collaborating with industry experts, policymakers, and farmers, she ensures that her research findings have practical applications that benefit the agricultural sector. Her commitment to advancing smart agriculture technologies positions her as a pioneering researcher in the field of modern agriculture.

Awards and Honors

Feng Meichen has received multiple awards and recognitions for her outstanding contributions to agricultural science and research. As a Deputy Chief Expert in the Shanxi Modern Agricultural Specialty Grain Industry Technology System, she has played a pivotal role in shaping agricultural policies and technologies. Her patents and scientific contributions have earned her recognition at national and provincial levels. She has been honored by Shanxi Agricultural University and various academic organizations for her contributions to precision farming, agricultural technology development, and ecological sustainability. She is a member of several prestigious agricultural committees, including the China Modern Agriculture Graduate School and the Chinese Society of Crops. Through her active involvement in academic and industry collaborations, she continues to make a lasting impact on the agricultural sector. Her dedication to agricultural innovation and sustainability has established her as a leading researcher and academician.

Conclusion

Feng Meichen is a highly accomplished researcher, academic leader, and innovator in agricultural science. With extensive research contributions, patents, and leadership roles, she has significantly advanced the fields of crop ecology, precision agriculture, and smart farming technologies. Her work has not only improved crop productivity and resource efficiency but also contributed to sustainable farming practices that benefit both academic research and practical applications. While her impact is widely recognized in China, expanding international collaborations and industry partnerships could further elevate her global research influence. Her dedication to scientific excellence, innovation, and sustainability makes her an outstanding candidate for the Best Researcher Award.

Publications Top Noted

2025 Publications

🔹 Evaluating the Potential of Airborne Hyperspectral Imagery in Monitoring Common Beans with Common Bacterial Blight at Different Infection Stages

  • Authors: Binghan Jing, Jiachen Wang, Xin Zhang, Xiaoxiang Hou, Kunming Huang, Qianyu Wang, Yiwei Wang, Yaoxuan Jia, Meichen Feng, Wude Yang et al.
  • Year: 2025
  • DOI: 10.1016/j.biosystemseng.2025.02.002
  • Source: Biosystems Engineering (Crossref)

🔹 Potential Impacts of Climate Change on the Spatial Distribution Pattern of Naked Oats in China

  • Authors: Zhenwei Yang, Xujing Yang, Yuheng Huang, Yalin Zhang, Yao Guo, Meichen Feng, Mingxing Qin, Ning Jin, Muhammad Amjad, Chao Wang et al.
  • Year: 2025
  • DOI: 10.3390/agronomy15020362
  • Source: Agronomy (Crossref)

2024 Publications

🔹 A Model for the Detection of β-Glucan Content in Oat Grain Based on Near Infrared Spectroscopy

  • Authors: Yang Z., Cheng Z., Su P., Wang C., Qin M., Song X., Xiao L., Yang W., Feng M., Zhang M.
  • Year: 2024
  • DOI: 10.1016/j.jfca.2024.106105
  • Source: Journal of Food Composition and Analysis (Scopus – Elsevier)

🔹 Combined Use of Spectral Resampling and Machine Learning Algorithms to Estimate Soybean Leaf Chlorophyll

  • Authors: Gao C., Li H., Wang J., Zhang X., Huang K., Song X., Yang W., Feng M., Xiao L., Zhao Y. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2024.108675
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Efficient Prediction of SOC and Aggregate OC Components by Continuous Wavelet Transform Spectra Under Different Feature Selection Methods

  • Authors: Yang S., Wang Z., Ji C., Hao Y., Liang Z., Yan X., Qiao X., Feng M., Xiao L., Song X. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2023.108550
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Prediction of the Potential Distribution and Analysis of the Freezing Injury Risk of Winter Wheat on the Loess Plateau Under Climate Change

  • Authors: Qing Liang, Xujing Yang, Yuheng Huang, Zhenwei Yang, Meichen Feng, Mingxing Qing, Chao Wang, Wude Yang, Zhigang Wang, Meijun Zhang et al.
  • Year: 2024
  • Source: Journal of Integrative Agriculture

2023 Publications

🔹 AMF Inoculation Positively Regulates Soil Microbial Activity and Drought Tolerance of Oat

  • Authors: Li Y., Li L., Zhang B., Lü Y.-F., Feng M.-C., Wang C., Song X.-Y., Yang W.-D., Zhang M.-J.
  • Year: 2023
  • DOI: 10.11674/zwyf.2022561
  • Source: Journal of Plant Nutrition and Fertilizers (Scopus – Elsevier)

🔹 Analyzing Protein Concentration from Intact Wheat Caryopsis Using Hyperspectral Reflectance

  • Authors: Zhang X., Hou X., Su Y., Yan X., Qiao X., Yang W., Feng M., Kong H., Zhang Z., Shafiq F. et al.
  • Year: 2023
  • DOI: 10.21203/rs.3.rs-2887647/v1
  • Source: Research Square

🔹 Hyperspectral Monitoring of Growth and Physiology Parameters of Winter Wheat Based on Different Quantification Methods

  • Authors: Wang Z.-G., Yang S., Feng M.-C., Yang W.-D., Liang Q., Yang X.-J., Yan X.-B., Sun X.-K., Qin M.-X., Wang C. et al.
  • Year: 2023
  • DOI: 10.2139/ssrn.4535833
  • Source: SSRN

🔹 Identification of Structural Variations Related to Drought Tolerance in Wheat (Triticum aestivum L.)

  • Authors: Zhao J., Li X., Qiao L., Zheng X., Wu B., Guo M., Feng M., Qi Z., Yang W., Zheng J.
  • Year: 2023
  • DOI: 10.1007/s00122-023-04283-4
  • Source: Theoretical and Applied Genetics (Scopus – Elsevier)

 

 

Muhammad Mudassar Hassan | Graph Theory | Best Researcher Award

Published on by Math Scientist

Dr. Muhammad Mudassar Hassan | Graph Theory | Best Researcher Award

Researcher at Anhui University, Hefei, China.

Muhammad Mudassar Hassan is a dedicated researcher at Anhui University, Hefei, China, specializing in applied mathematics, chemoinformatics, and structural engineering. His research primarily focuses on the comparative and computational study of Zagreb Connection Indices in chemical graphs, leading to the development of modified indices that enhance structural analysis in graph theory. As the first author of all his research articles, he has contributed to SCI-indexed journals, reflecting the quality of his work. He actively collaborates on various research projects and is a member of the American Mathematical Society. Additionally, he has a patent under process, showcasing his innovative contributions. However, his citation index remains relatively low, and he lacks editorial roles, published books, and industry collaborations. Strengthening these areas could further establish his research impact. With continued publications and broader academic engagement, he has the potential to make significant advancements in his field and become a strong candidate for the Best Researcher Award.

Professional Profile 

Google Scholar
ORCID Profile

Education

Muhammad Mudassar Hassan has a strong academic background in applied mathematics, which forms the foundation of his research expertise. He has pursued higher education with a focus on mathematical modeling, graph theory, and chemoinformatics, equipping him with the necessary skills to analyze complex chemical structures. His academic journey has been marked by rigorous training in computational methods, topological indices, and structural graph theory, allowing him to develop innovative approaches in these areas. Throughout his studies, he has actively engaged in research, contributing to scientific advancements in his field. His commitment to continuous learning and exploration of mathematical applications in chemistry and structural engineering has helped him establish a solid theoretical and practical foundation. By integrating computational techniques with applied mathematics, he has positioned himself as a researcher capable of addressing real-world scientific challenges. His educational background serves as a strong base for his ongoing research and future contributions.

Professional Experience

Muhammad Mudassar Hassan is a researcher at Anhui University, Hefei, China, where he focuses on applied mathematics and graph theory. His professional work revolves around the computational study of Zagreb Connection Indices and other degree-based topological indices, contributing to advancements in chemoinformatics and structural engineering. He has led multiple research projects as the first author of all his published articles, demonstrating his expertise in independent research. Although he does not currently hold editorial positions, he has collaborated with researchers on various projects, broadening his professional experience. Additionally, he is a member of the American Mathematical Society, which reflects his active engagement in the mathematical research community. While his professional experience is centered on academia, expanding into industry-based research or consultancy projects could further enhance his impact. His current work highlights his strong analytical skills and dedication to advancing mathematical applications in chemical graph theory and computational modeling.

Research Interest

Muhammad Mudassar Hassan’s research interests lie at the intersection of applied mathematics, chemoinformatics, and structural engineering. His primary focus is on the development and computational analysis of Zagreb Connection Indices in chemical graphs, which have proven to be essential in understanding structural properties. His work extends to degree-based topological indices, which help in characterizing molecular structures mathematically. His research contributes to both theoretical and practical advancements, as these indices are widely used in cheminformatics, drug discovery, and materials science. He is particularly interested in improving and modifying existing mathematical models to enhance their applicability in real-world chemical and structural problems. His studies involve extensive computational analysis, making his research relevant to data-driven scientific advancements. As a researcher, he continuously seeks to explore new mathematical methodologies that can further improve the understanding and application of graph theory in scientific domains. His work reflects his passion for interdisciplinary mathematical research.

Awards and Honors

Muhammad Mudassar Hassan’s academic and research contributions have been recognized through his membership in the American Mathematical Society, a prestigious organization in the field of mathematics. While he has made valuable contributions to applied mathematics and cheminformatics, he has yet to receive major individual awards or honors in recognition of his research. His publications in SCI-indexed journals demonstrate his credibility as a researcher, and his patent under process indicates his innovative potential. Though he has not yet held editorial positions or received industry-based accolades, his research contributions suggest promising potential for future recognition. Strengthening his academic presence through increased citations, award presentations, and involvement in professional committees could enhance his prospects for receiving distinguished awards. With continued dedication to publishing high-impact research and broadening his academic influence, he is well-positioned to earn honors that acknowledge his expertise in mathematical modeling and computational graph theory.

Conclusion

Muhammad Mudassar Hassan is a dedicated researcher with expertise in applied mathematics, particularly in the computational study of Zagreb Connection Indices and topological indices in chemical graphs. His research contributions, published in SCI-indexed journals, demonstrate his commitment to advancing graph theory applications in cheminformatics and structural engineering. While he has established himself as a promising academic researcher, expanding his influence through higher citation impact, editorial roles, industry collaborations, and additional publications could further strengthen his research profile. His patent under process highlights his potential for innovation, and his membership in the American Mathematical Society reflects his professional engagement. With continued research output and broader academic contributions, he has the potential to achieve greater recognition in his field. By focusing on increasing research impact and networking within the scientific community, he could further establish himself as a leading researcher and a strong candidate for prestigious academic awards in the future.

Publications Top Noted

  • Title: Connection-based modified Zagreb indices of Boron triangular sheet BTS (m, n)

    • Authors: MM Hassan, S Jabeen, H Ali, P Ali
    • Year: 2023
    • Citations: 5
    • Source: Molecular Physics

  • Title: Topological descriptors of molecular networks via reverse degree

    • Authors: MM Hassan
    • Year: 2024
    • Citations: 4
    • Source: Polycyclic Aromatic Compounds

  • Title: Molecular networks via reduced reverse degree approach

    • Authors: MM Hassan, XF Pan, DM Yu, MS Sardar
    • Year: 2025
    • Citations: –
    • Source: Journal of Molecular Graphics and Modelling

  • Title: Computation of connection-based Zagreb indices in chain graphs and triangular sheets

    • Authors: MM Hassan, A Waqar, H Ali, P Ali
    • Year: 2024
    • Citations: 3
    • Source: Journal of Coordination Chemistry

  • Title: Connection Number-based Multiplicative Zagreb Indices of Chemical Structures

    • Authors: MM Hassan
    • Year: 2023
    • Citations: 2
    • Source: Current Organic Chemistry

  • Title: Molecular structure of DNA via Zagreb connection descriptors

    • Authors: MM Hassan, XF Pan
    • Year: 2024
    • Citations: 1
    • Source: The European Physical Journal E