Yanshan Liu | Game Theory | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Yanshan Liu
Qingdao University, China

Yanshan Liu
Affiliation Qingdao University
Country China
Scopus ID 51764034200
Documents 41
Citations 398
h-index 11
Subject Area Game Theory
Event Math Scientist Awards
ORCID 0009-0001-2491-3766

The Innovative Research Award recognizes notable scholarly contributions that advance theoretical understanding and practical applications within a specialized academic field. This recognition highlights the research achievements of Yanshan Liu of Qingdao University, whose work in game theory, opinion dynamics, optimal control, reinforcement learning, and networked systems has contributed to contemporary mathematical and computational research. Through peer-reviewed publications and interdisciplinary investigations, Liu has explored mechanisms governing opinion evolution, strategic interactions, and control methodologies in complex networks.[1]

Abstract

Yanshan Liu’s research portfolio centers on mathematical modeling and strategic decision-making within dynamic social and networked environments. His studies integrate game-theoretic frameworks, optimal control theory, and reinforcement learning techniques to analyze opinion dynamics and collective behavior. Published across recognized scientific journals and conference proceedings, his work contributes to both theoretical mathematics and computational applications while addressing challenges associated with complex adaptive systems.[2]

Keywords

Game Theory, Opinion Dynamics, Optimal Control, Reinforcement Learning, Complex Networks, Mathematical Modeling, Dynamic Systems, Social Networks, Decision Sciences, Network Optimization.

Introduction

Modern game theory increasingly intersects with network science, artificial intelligence, and social computation. Researchers seek analytical approaches capable of explaining how opinions evolve, how strategic decisions influence collective outcomes, and how interventions can optimize system performance. Liu’s research addresses these questions through rigorous mathematical analysis and computational experimentation, creating models that help explain dynamic interactions among agents in complex environments.[3]

Research Profile

According to available scholarly metrics, Liu has produced 41 indexed documents, accumulated 398 citations, and achieved an h-index of 11. His academic activities primarily focus on mathematical decision sciences and game-theoretic analysis. The combination of citation performance and publication consistency reflects sustained engagement with contemporary challenges in network dynamics and optimal control.[1]

Research Contributions

  • Development of average-oriented opinion dynamics game models for analyzing control strategies in social systems.
  • Investigation of inverse dynamic models involving stubborn agents within social networks.
  • Application of discounted linear quadratic regulator methods to optimal opinion control on complex networks.
  • Integration of reinforcement learning approaches with stochastic opinion dynamics.
  • Formulation of multi-stage game-theoretic frameworks for dynamic decision-making processes.

Collectively, these contributions demonstrate a commitment to advancing analytical tools capable of supporting decision optimization and understanding collective behavior in interconnected environments.[4]

Publications

  • Comparison of Control Strategies in an Average-Oriented Opinion Dynamics Game.
  • Optimal Control of Opinion Dynamics on Complex Networks via Discounted LQR: Theory and Computation.
  • Reinforcement Learning-Based Optimal Control for Stochastic Opinion Dynamics.
  • Two-Stage Game Model of Opinion Dynamics.

Research Impact

The practical significance of Liu’s research extends to social network analysis, distributed decision-making, policy intervention strategies, and computational intelligence. By combining mathematical rigor with algorithmic approaches, his work provides methodologies that can support future studies in collective behavior, optimization, and adaptive control systems. The interdisciplinary nature of these contributions strengthens their relevance across multiple academic domains.[5]

Award Suitability

The Innovative Research Award recognizes scholarly originality, methodological advancement, and measurable academic contribution. Liu’s publication record, citation performance, and research focus on emerging intersections of game theory, control science, and artificial intelligence align with these criteria. His investigations contribute meaningful insights into opinion dynamics and network optimization while supporting the broader development of mathematical sciences.[6]

Conclusion

Yanshan Liu’s scholarly work reflects a focused effort to address contemporary challenges within game theory and dynamic network analysis. Through contributions spanning opinion dynamics, optimal control, and reinforcement learning, he has established a research profile characterized by methodological depth and interdisciplinary relevance. These achievements provide a strong foundation for recognition through the Innovative Research Award at the Math Scientist Awards.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yanshan Liu, Author ID 51764034200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=51764034200
  2. European Journal of Control. (2026). Comparison of Control Strategies in an Average-Oriented Opinion Dynamics Game.
    https://doi.org/10.1016/j.ejcon.2026.101551
  3. Mathematics. (2026). Optimal Control of Opinion Dynamics on Complex Networks via Discounted LQR: Theory and Computation.
    https://doi.org/10.3390/math14101623
  4. Scientific Reports. (2026). Reinforcement Learning-Based Optimal Control for Stochastic Opinion Dynamics.
    https://doi.org/10.1038/s41598-026-42646-1
  5. Springer. (2025). Two-Stage Game Model of Opinion Dynamics.
    https://doi.org/10.1007/978-3-031-97077-1_14
  6. ORCID. (n.d.). Researcher Profile: Yanshan Liu.
    https://orcid.org/0009-0001-2491-3766

Madjid Eshaghi Gordji | Game Theory | Best Researcher Award

Published on by Math Scientist

Prof. Madjid Eshaghi Gordji | Game Theory | Best Researcher Award

Professor of Mathematics; Head of research team gor this paper at Semnan University, Iran

Prof. Madjid Eshaghi Gordji is a distinguished mathematician and professor at Semnan University, Iran, specializing in Functional Analysis, Banach Algebras, Operator Theory, and Game Theory. With a prolific research career, he has published extensively in high-impact journals such as PNAS, Advances in Mathematics, and Nonlinear Analysis TMA. He serves as the Editor-in-Chief of the International Journal of Nonlinear Analysis and Applications (IJNAA) and holds editorial positions in numerous prestigious journals. A highly cited researcher, he has been recognized among the top 1% of scientists by Thomson Reuters and Essential Science Indicators. He has also chaired major mathematical awards and actively contributes as a reviewer for leading mathematical societies, including the AMS and EMS. His outstanding contributions to pure and applied mathematics, combined with his leadership in academic publishing, make him a strong candidate for the Best Researcher Award, reflecting his global impact and commitment to advancing mathematical sciences.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Prof. Madjid Eshaghi Gordji obtained his Ph.D. in Mathematics from Shahid Beheshti University, Iran, in 2004, under the supervision of Prof. Seyed Alireza Hosseiniun. Prior to this, he earned his M.Sc. in Mathematics from the Institute of Mathematics at the University for Teacher Education in 1999, where he was mentored by Prof. Alireza Medghalchi. His academic journey began with a B.Sc. in Mathematics from Ferdowsi University of Mashhad in 1996. His strong educational foundation laid the groundwork for his expertise in functional analysis, operator theory, and nonlinear mathematical models. His deep mathematical insight and rigorous training have enabled him to make significant contributions to the field, particularly in abstract harmonic analysis, fixed point theory, and stability of functional equations. His academic background reflects his commitment to mathematical excellence and innovation, establishing him as a leading researcher in the mathematical sciences.

Professional Experience

Prof. Madjid Eshaghi Gordji is a full professor at Semnan University, where he has been actively engaged in teaching, mentoring, and research. He has played a pivotal role in the advancement of mathematical sciences through his editorial and reviewing contributions to high-impact journals. He is the Editor-in-Chief of the International Journal of Nonlinear Analysis and Applications (IJNAA) and has served as an editor for numerous prestigious mathematical journals. Additionally, he has been a reviewer for the American Mathematical Society (AMS), the European Mathematical Society (EMS), and leading ISI-indexed journals. His expertise has been recognized through invitations to chair scientific committees at international awards, such as the 45th Annual Iranian Mathematics Conference. His extensive academic involvement, combined with his editorial leadership and research contributions, has established him as an influential figure in the global mathematical community.

Research Interest

Prof. Eshaghi Gordji’s research spans several fundamental areas in mathematics, including Functional Analysis, Banach Algebras, Abstract Harmonic Analysis, Operator Theory, and Fixed Point Theory. His work extends to applied fields such as Game Theory, Crisis Mathematics, and Cognitive Sciences, demonstrating his ability to bridge theoretical mathematics with real-world applications. He has made significant contributions to the stability of functional equations, fuzzy normed spaces, and nonlinear differential equations. His research impact is reflected in numerous high-impact publications in esteemed journals, including Advances in Mathematics, Nonlinear Analysis TMA, and Journal of Mathematical Analysis and Applications. His interdisciplinary approach and problem-solving capabilities have contributed to advancements in both pure and applied mathematics, making his research highly relevant and influential in the academic and scientific community.

Awards and Honors

Prof. Madjid Eshaghi Gordji has received multiple prestigious accolades for his contributions to mathematics. He was recognized as a distinguished researcher in Basic Sciences at Semnan University for four consecutive years (2008–2011). In 2011, he was honored as a national distinguished researcher among academic members of Iranian universities, receiving a certificate from the Ministry of Science, Research, and Technology. His international recognition includes being listed as a Highly Cited Researcher by Essential Science Indicators (ESI) and being among the Top 1% Scientists by Thomson Reuters in 2013 and 2014. His contributions have positioned him as a leading mathematician with global influence. His ability to conduct pioneering research and contribute significantly to the academic community has earned him a reputation as an exceptional researcher in mathematical sciences.

Conclusion

Prof. Madjid Eshaghi Gordji is an accomplished mathematician with a remarkable academic and research career. His expertise in functional analysis, operator theory, and nonlinear mathematical models has led to groundbreaking contributions in mathematics. Through his leadership roles as an editor, reviewer, and award chair, he has shaped the direction of mathematical research on an international scale. His numerous accolades, high-impact publications, and global recognition reflect his dedication to advancing mathematical sciences. With his outstanding academic achievements and research impact, he is an ideal candidate for the Best Researcher Award. His work continues to inspire and influence the next generation of mathematicians, reinforcing his position as a distinguished scholar in the mathematical community.

Publications Top Noted

  • Title: Game Theory and a New Insight into How the Cuban Missile Crisis Was Resolved

    • Authors: Somayeh Shaabani, Madjid Eshaghi Gordji
    • Year: 2023
    • Source: International Journal of Cuban Studies

  • Title: Hyperstability of Ternary Jordan Homomorphisms on Unital Ternary C-Algebras*

    • Authors: Madjid Eshaghi Gordji, Vahid Keshavarz
    • Year: 2023

  • Title: Banach Valued Algebras Defined by a Family of Banach Algebras

    • Authors: Ali Ebadian, Madjid Eshaghi Gordji, Ali Jabbari
    • Year: 2023
    • Source: Journal of Algebra and its Applications

  • Title: Induced Topologies on Certain Banach Algebras

    • Authors: Madjid Eshaghi Gordji, Ali Ghaffari, Mohammad Bagher Sahabi
    • Year: 2023
    • Source: Filomat

  • Title: A Weak Form of Amenability of Topological Semigroups and Its Applications in Ergodic and Fixed Point Theories

    • Authors: Ali Ebadian, Madjid Eshaghi Gordji, Ali Jabbari
    • Year: 2023
    • Citations: 1
    • Source: Collectanea Mathematica

  • Title: A New Credit and Loan Lending Strategy and Credit in Banking Systems: An Evolutionary Game Theory Approach

    • Authors: Zohreh Lashgari, Alireza Bahiraie, Madjid Eshaghi Gordji
    • Year: 2022
    • Citations: 2
    • Source: Journal of Applied Mathematics

  • Title: Evolutionary Game to Model Risk Appetite of Individual Investors

    • Authors: Zohreh Lashgari, Madjid Eshaghi Gordji, Alireza Bahiraie, Abdul K.M. Azhar
    • Year: 2022
    • Citations: 1
    • Source: Advances in Systems Science and Applications

  • Title: Hyperstability of Orthogonally Pexider Lie Functional Equation: An Orthogonally Fixed Point Approach

    • Authors: Vahid Keshavarz, Sedigheh Jahedi, Madjid Eshaghi Gordji, Shayan Bazeghi
    • Year: 2022
    • Citations: 3
    • Source: Thai Journal of Mathematics

  • Title: Some Frank Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers

    • Authors: Maryam Oraki, Madjid Eshaghi Gordji, Halimeh Ardakani
    • Year: 2021
    • Citations: 9
    • Source: International Journal of Nonlinear Analysis and Applications

  • Title: Altered Structural Balance of Resting-State Networks in Autism

    • Authors: Zahra Moradimanesh, Reza Khosrowabadi, Madjid Eshaghi Gordji, Gholamreza Jafari
    • Year: 2021
    • Citations: 15
    • Source: Scientific Reports