Belen Diaz Diaz | Human-Computer Interaction | Research Excellence Award

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Ms. Belen Diaz Diaz | Human-Computer Interaction | Research Excellence Award

Associate Professor at University of Cantabria | Spain

Belen Diaz Diaz is a leading scholar in corporate finance, financial markets, sustainability, and technological innovation, recognized for her strong academic influence and interdisciplinary research contributions. She has developed a robust publication record with 28 Scopus-indexed documents, supported by 207 citations across 203 citing documents and an h-index of 5, reflecting the growing international impact of her work. Her research spans corporate governance, sustainable finance, long-term care economics, and emerging technologies in training environments, including pioneering empirical studies demonstrating the effectiveness of virtual reality in enhancing commercial performance in the financial sector. As Principal Investigator in numerous research and consultancy initiatives, she has advanced high-value projects addressing financial education, ESG integration, strategic corporate training, economic impact assessment, and public-policy analysis, generating evidence that informs both academic discourse and real-world decision-making. Her scholarly output includes more than sixty publications and extensive editorial contributions to major academic volumes published by leading international presses, consolidating her leadership within global sustainability and governance networks. She also plays a central role in advancing strategic academic programs, fostering international collaborations, and steering multidisciplinary research teams focused on responsible management and sustainable economic development. Through her sustained scholarly productivity, thought leadership, and innovative application of technology in finance and training, she has established a strong global academic footprint that continues to influence research, industry practice, and policy frameworks across diverse sectors.

Profiles: Scopus | Orcid | Google Scholar | LinkedIn | ResearchGate

Featured Publications

García-Ramos, R., & Díaz, B. D. (2021). Board of directors structure and firm financial performance: A qualitative comparative analysis. Long Range Planning, 54(6), 102017.

Díaz, K. B., Azofra, S. S., & Gutiérrez, C. L. (2009). Are M&A premiums too high? Analysis of a quadratic relationship between premiums and returns. Quarterly Journal of Finance and Accounting, 5–21.

García-Ramos, R., Díaz-Díaz, B., & García-Olalla, M. (2017). Independent directors, large shareholders and firm performance: The generational stage of family businesses and the socioemotional wealth approach. Review of Managerial Science, 11(1), 119–156.

López, A. P., & Díaz, B. D. (2016). Fisioterapia en incontinencia urinaria de embarazo y posparto: Una revisión sistemática. Clínica e Investigación en Ginecología y Obstetricia, 43(3), 122–131.

Díaz, B. D., & Azofra, S. S. (2009). Determinants of premiums paid in European banking mergers and acquisitions. International Journal of Banking, Accounting and Finance, 1(4), 358–380.

Xiao Wang | Embodied Intelligence | Best Researcher Award

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Prof. Dr. Xiao Wang | Embodied Intelligence | Best Researcher Award

Professor at Anhui University, China

Xiao Wang, a Senior Member of IEEE, is a distinguished researcher and educator specializing in intelligent transportation and cognitive computing. She has made remarkable contributions through her leadership in the development of advanced technologies for autonomous systems. With her work cited extensively (h-index: 33) and recognition as one of the “Top 2% of the World’s Most Influential Scientists” for two consecutive years, Prof. Wang combines technical expertise and academic excellence. Her dedication to innovation continues to shape the future of intelligent transportation systems and autonomous vehicle technologies. 🌟📚🤖

Publication Profile : 

Scopus

Education 🎓

Xiao Wang earned her B.E. degree in Network Engineering from Dalian University of Technology in 2011. She later pursued advanced studies in Social Computing, obtaining both her M.E. and Ph.D. degrees from the University of Chinese Academy of Sciences in 2016.

Professional Experience💼

Prof. Xiao Wang is currently a Professor at the School of Artificial Intelligence, Anhui University, and serves as the Director of the Anhui Province Engineering Research Center for Unmanned Systems and Intelligent Technology. She has spearheaded over ten research and industry projects focusing on areas such as autonomous driving, multimodal data fusion, and traffic accident prediction, collaborating with leading institutions and companies. With a prolific academic career, Prof. Wang has published more than 40 high-impact SCI papers in the past five years and holds 22 granted invention patents. Her editorial roles include Associate Editor of the IEEE Intelligent Vehicles Symposium, Column Editor of IEEE Intelligent Systems Magazine, and other notable journal appointments. She is a Senior Member of IEEE, CAA, and a Board Member of the IEEE Intelligent Transportation Systems Society. 🌐📊🚗

Research Interests 🔬

Prof. Wang’s research interests span social computing, autonomous driving, group behavior modeling, knowledge automation, parallel intelligence, and DAO-based computational social systems.

Publications Top Notes 📚

  1. Wang, X., Wang, Y., Yang, J., …, Ding, W., Wang, F.-Y. (2024). “The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0.” Information Fusion, 107, 102321.
  2. Wang, X., Huang, J., Ni, Q., …, Stapleton, L., Wang, F.-Y. (2024). “Society 5.0: Metaverse Facilitated Human-centric 5H Services Across Cyber-Physical-Social Spaces.” IFAC-PapersOnLine, 58(3), 159–164.
  3. Wang, X., Huang, J., Yang, J., Wang, X., Wang, F.-Y. (2024). “Prescriptive Manufacturing in Society 5.0: Human Autonomous Organizations and on-Demand Smart Services.” IFAC-PapersOnLine, 58(3), 139–144.
  4. Cao, Y., Wang, Y., Wang, J., …, Wang, X., Wang, F.-Y. (2024). “Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems.” IEEE Transactions on Computational Social Systems, 11(3), 3978–3987.
  5. Xue, X., Yu, X., Zhou, D., …, Wang, S., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.” IEEE/CAA Journal of Automatica Sinica, 11(5), 1175–1189.
  6. Liang, X., Ding, W., Qin, R., …, Wang, X., Wang, F.-Y. (2024). “From cadCAD to casCAD2: A Mechanism Validation and Verification System for Decentralized Autonomous Organizations Based on Parallel Intelligence.” IEEE Transactions on Computational Social Systems, 11(2), 2853–2862.
  7. Xue, X., Yu, X., Zhou, D., …, Liu, D., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems – Part III: The Docking of Domain Models.” IEEE Transactions on Computational Social Systems, 11(2), 1766–1780.
  8. Wang, X., Zhang, X.-Y., Zhou, R., …, Chen, L., Sun, C.-Y. (2024). “An Intelligent Architecture for Cognitive Autonomous Driving Based on Parallel Testing.” Zidonghua Xuebao/Acta Automatica Sinica, 50(2), 356–371.
  9. Wang, X., Tang, K., Dai, X., …, Wang, Y., Gu, W. (2024). “S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.” IEEE Transactions on Intelligent Vehicles, 9(2), 3220–3231.
  10. Tian, Y., Zhang, X., Wang, X., …, Gu, W., Ding, W. (2024). “ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images.” IEEE Transactions on Intelligent Vehicles, 9(2), 3360–3371.