Liang Gao | Percolation on Multilayer Networks | Excellence in Academic Research Award

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Assoc. Prof. Dr. Liang Gao | Percolation on Multilayer Networks | Excellence in Academic Research Award

Liang Gao, at Beijing Jiaotong University, China📖

Dr. Liang Gao is an Associate Professor at the School of Systems Science, Beijing Jiaotong University. He specializes in systems theory, complex networks, and data-driven transportation systems. With extensive teaching and research experience, Dr. Gao has contributed significantly to urban mobility, multi-layer network resilience, and intelligent transportation systems. His work has been recognized with numerous awards, including the China Intelligent Transportation Association Science and Technology Award (2019) and Beijing’s Scientific and Technological Progress Award (2020). He is also a member of prominent academic societies, such as the Chinese Society for System Engineering and the International Association for Complex Systems.

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Education Background🎓

Dr. Liang Gao completed his Bachelor of Science in Systems Engineering in 2002 from the Department of Systems Science, Beijing Normal University, China. He continued his academic journey at the same institution, earning a Master of Science in Systems Analysis and Integration in 2004. Driven by a passion for advancing theoretical and practical applications of systems science, he pursued and obtained his Ph.D. in Systems Theory in 2007. His doctoral research laid the foundation for his expertise in complex networks and data-driven systems analysis, establishing a robust academic base for his future endeavors.

Professional Experience🌱

Dr. Gao began his academic career as a Lecturer at Beijing Jiaotong University in 2007, where he taught and conducted research in systems science. In 2014, he was promoted to Associate Professor, reflecting his significant contributions to teaching, research, and academic leadership. During his tenure, he held visiting scholar positions at Northeastern University, USA, and the University of Aveiro, Portugal, where he advanced research on human mobility patterns and multi-layer transportation networks. Dr. Gao has delivered keynote talks at various prestigious international conferences and contributed to impactful projects, including urban mobility analysis and intelligent transportation system development, earning recognition for his expertise in complex systems and sustainable transportation.

Research Interests🔬

  • Complex Systems and Network Science
  • Urban Transportation and Mobility Analysis
  • Data-Driven Intelligent Transportation Systems
  • Resilience of Multi-Layer Networks
  • Systemic Approaches to Public Bicycle Scheduling

Author Metrics 

Dr. Gao has published extensively in high-impact journals such as Transportation Research Part B and PLoS ONE. His work has garnered significant citations, reflecting its influence in the fields of complex systems and transportation science. He also serves as a reviewer for prestigious journals and is actively engaged in academic collaborations worldwide.

Publications Top Notes 📄

1. Switch between Critical Percolation Modes in City Traffic Dynamics

  • Year: 2019
  • Authors: Zeng, G., Li, D., Guo, S., Eugene Stanley, H., Havlin, S.
  • Journal: Proceedings of the National Academy of Sciences of the United States of America
  • Volume: 116
  • Issue: 1
  • Pages: 23–28
  • Abstract: This study explores the dynamics of urban traffic networks using percolation theory. It identifies transitions between two critical percolation modes, providing insights into traffic resilience under disruptions and aiding urban planning strategies.
  • Citations: 108
  • Access: Open Access

2. Weighted h-Index for Identifying Influential Spreaders

  • Year: 2019
  • Authors: Gao, L., Yu, S., Li, M., Shen, Z., Gao, Z.
  • Journal: Symmetry
  • Volume: 11
  • Issue: 10
  • Article: 1263
  • Abstract: This paper presents a weighted h-index metric designed to identify influential spreaders in complex networks. The study demonstrates its effectiveness compared to traditional measures in accurately identifying nodes with significant spreading capabilities.
  • Citations: 10
  • Access: Open Access

3. Identifying Influential Spreaders Based on Indirect Spreading in Neighborhood

  • Year: 2019
  • Authors: Yu, S., Gao, L., Xu, L., Gao, Z.-Y.
  • Journal: Physica A: Statistical Mechanics and its Applications
  • Volume: 523
  • Pages: 418–425
  • Abstract: This research proposes a novel method to identify influential spreaders by considering indirect spreading within their neighborhoods. The approach improves the understanding of influence dynamics in various networked systems.
  • Citations: 12

4. Critical Percolation on Temporal High-Speed Railway Networks

  • Year: 2022
  • Authors: Liu, Y., Yu, S., Zhang, C., Wang, Y., Gao, L.
  • Journal: Mathematics
  • Volume: 10
  • Issue: 24
  • Article: 4695
  • Abstract: The study applies percolation theory to temporal high-speed railway networks, analyzing their robustness and identifying critical points of failure. The findings contribute to enhancing the resilience of transportation systems.
  • Citations: 1
  • Access: Open Access

5. Cascading Failure with Preferential Redistribution on Bus-Subway Coupled Network

  • Year: 2021
  • Authors: Jo, S., Gao, L., Liu, F., Xu, L., Gao, Z.-Y.
  • Journal: International Journal of Modern Physics C
  • Volume: 32
  • Issue: 8
  • Article: 2150103
  • Abstract: This paper studies cascading failures in coupled bus-subway networks and introduces a preferential redistribution strategy to mitigate disruptions. The findings offer practical solutions for improving urban transit system resilience.
  • Citations: 12
Conclusion

Dr. Liang Gao’s outstanding contributions to systems science, his innovative approaches to urban mobility and network resilience, and his leadership in academic research make him a deserving candidate for the Excellence in Academic Research Award. His work demonstrates a clear alignment with the award’s objectives of recognizing excellence and fostering impactful research.

By expanding his interdisciplinary applications and deepening industry collaborations, Dr. Gao can further solidify his influence and pave the way for transformative advancements in intelligent transportation and complex systems. His trajectory reflects a blend of theoretical rigor and practical innovation, making him a role model for aspiring researchers in the field.

Somayeh Fathali | Epistemic Network Analysis| Best Researcher Award

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Dr. Somayeh Fathali | Epistemic Network Analysis | Best Researcher Award

Assistant Professor, at Alzahra University, Iran📖

Dr. Somayeh Fathali is an Assistant Professor of Applied Linguistics at Alzahra University, Tehran, Iran. With a Ph.D. from Tohoku University, Japan, she is an accomplished academic with over a decade of experience in teaching, research, and academic leadership. Her scholarly pursuits focus on integrating technology into language education, exploring gamification, and advancing EFL teaching methods. Dr. Fathali has contributed to numerous national and international conferences, published extensively, and supervised graduate research in cutting-edge areas of linguistics and education.

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Google Scholar Profile

Education Background🎓

Dr. Somayeh Fathali earned her Ph.D. in Applied Linguistics from the Graduate School of International Cultural Studies at Tohoku University, Japan, in 2018. She completed her M.A. in Teaching English as a Foreign Language (TEFL) and her B.A. in English Literature at the Faculty of Literature, Alzahra University, Iran, in 2014 and 2012, respectively. Her academic journey reflects a strong foundation and continuous commitment to excellence in language education and linguistics.

Professional Experience🌱

Dr. Fathali has been an Assistant Professor in the Department of English, Faculty of Literature, Alzahra University, since 2020, where she also served as a Lecturer from 2018 to 2020. In addition to her academic roles, she has extensive teaching experience, having worked as a Teaching Assistant at Tohoku University (2017–2018) and as an English teacher at Kish Language Institute and AbooReyahn High School in Tehran (2007–2014). Dr. Fathali has also held key administrative roles, including Assistant Head of the English Department and member of various university committees such as Promotion, Graduate Studies, and Curriculum Design.

Research Interests🔬

Dr. Fathali’s research interests encompass a diverse range of topics within Applied Linguistics, focusing on technology-enhanced language learning (CALL), gamification in education, collaborative writing, digital literacy, and IoT applications in education. Her work delves into the intersection of technology and pedagogy, aiming to enhance English as a Foreign Language (EFL) teaching and learning through innovative methodologies and tools.

Author Metrics 

Dr. Fathali has made substantial contributions to the academic community, with her recent book chapter published in Technology and English Language Teaching in a Changing World (2024) by Palgrave Macmillan. Her conference presentations and journal articles span topics such as gamification, digital literacy, and technology-based language teaching. As a graduate research supervisor, she has guided students on diverse projects, ranging from the use of AI tools in EFL classrooms to gamified learning platforms. Her ORCID profile highlights her growing influence in the field of applied linguistics.

Publications Top Notes 📄

1. Technology acceptance model in technology-enhanced OCLL contexts: A self-determination theory approach

  • Authors: S. Fathali, T. Okada
  • Journal: Australasian Journal of Educational Technology
  • Volume: 34(4)
  • Citations: 112 (2018)
  • Summary:
    This study integrates the Technology Acceptance Model (TAM) with Self-Determination Theory (SDT) to examine the factors influencing learners’ acceptance of technology in out-of-class language learning (OCLL). The authors focus on Japanese English as a Foreign Language (EFL) learners, exploring how autonomy, competence, and relatedness mediate the impact of technology-enhanced environments on language learning intentions.

2. A self-determination theory approach to technology-enhanced out-of-class language learning intention: A case of Japanese EFL learners

  • Authors: S. Fathali, T. Okada
  • Journal: International Journal of Research Studies in Language Learning
  • Volume: 6(4)
  • Citations: 39 (2017)
  • Summary:
    This paper employs SDT to investigate Japanese EFL learners’ intentions to use technology for out-of-class language learning. The findings highlight the role of intrinsic motivation and basic psychological needs in fostering positive attitudes toward adopting technology-mediated learning tools.

3. On the importance of out-of-class language learning environments: A case of a web-based e-portfolio system enhancing reading proficiency

  • Authors: S. Fathali, T. Okada
  • Journal: International Journal on Studies in English Language and Literature
  • Volume: 4(8), Pages: 77–85
  • Citations: 21 (2016)
  • Summary:
    This research evaluates the effectiveness of a web-based e-portfolio system in improving the reading proficiency of EFL learners. The study underscores the critical role of out-of-class learning environments in supplementing traditional classroom activities and fostering learner autonomy.

4. The impact of guided writing practice on the speaking proficiency and attitude of EFL elementary learners

  • Authors: S. Fathali, E. Sotoudehnama
  • Journal: Teaching English as a Second Language Quarterly (formerly Journal of TESOL)
  • Citations: 17 (2015)
  • Summary:
    The study examines the effect of guided writing practices on the speaking skills and attitudes of elementary EFL learners. Results indicate significant improvements in speaking proficiency and a positive shift in learners’ attitudes toward language learning.

5. CALL research in Iran: An integrative review of the studies between 2007 and 2019

  • Authors: S. Fathali, A. Emadi
  • Journal: Computer-Assisted Language Learning Electronic Journal
  • Volume: 22(3), Pages: 33–51
  • Citations: 8 (2021)
  • Summary:
    This integrative review synthesizes Computer-Assisted Language Learning (CALL) research conducted in Iran over 12 years, analyzing trends, methodologies, and findings. The authors identify gaps and propose future directions to enhance CALL research and implementation in the Iranian context.

Conclusion

Dr. Somayeh Fathali’s scholarly achievements and leadership in applied linguistics, particularly her innovative use of technology in language education, make her an exceptional candidate for the Best Researcher Award. Her research bridges critical gaps in pedagogy and technology, influencing both theoretical advancements and practical applications. With minor improvements in global outreach and resource acquisition, her potential for furthering educational innovation is immense. Dr. Fathali exemplifies excellence and forward-thinking in research, making her highly deserving of this recognition.