Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

Prof. Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

College of Water Conservancy and Civil Engineering, Shandong Agricultural University | China

Publication Profile

Scopus

PROF. QIANG YUE – A LEADER IN BIG DATA ANALYTICS AND WATER CONSERVANCY RESEARCH 🌐💧

INTRODUCTION 🌟

Prof. Qiang Yue is a prominent academic and researcher at the College of Water Conservancy and Civil Engineering, Shandong Agricultural University, China. Specializing in Big Data Analytics, Prof. Yue has contributed significantly to the field of water conservancy and civil engineering, focusing on the integration of data science and engineering for sustainable solutions. His interdisciplinary approach is helping shape the future of water management systems and infrastructure development.

EARLY ACADEMIC PURSUITS 🎓

Prof. Yue’s academic journey began with a strong foundation in civil engineering and water conservancy. After completing his undergraduate degree, he pursued advanced studies in related fields, obtaining a Master’s and PhD with a focus on big data analytics and its applications in civil engineering and water resources management. His rigorous academic training set the stage for his future contributions to both engineering and data science.

PROFESSIONAL ENDEAVORS 💼

As a faculty member at Shandong Agricultural University, Prof. Yue has played a key role in developing research programs and teaching in the fields of water conservancy and civil engineering. His work bridges the gap between traditional engineering methods and modern data analytics, incorporating advanced technologies like machine learning and AI in the optimization of water resources and infrastructure planning. Prof. Yue has also collaborated with national and international research institutions, contributing to various large-scale projects focused on water management and sustainable civil engineering practices.

CONTRIBUTIONS AND RESEARCH FOCUS ON Big Data Analytics 🔬

Prof. Yue’s research interests lie at the intersection of Big Data Analytics and civil engineering, particularly in the optimization of water conservancy systems. His work focuses on the application of machine learning algorithms, predictive analytics, and real-time data collection to improve the efficiency of water resource management, flood control, and infrastructure development. Additionally, his research aims to enhance the sustainability of civil engineering projects through data-driven decision-making, making significant strides toward smart cities and sustainable environmental practices.

IMPACT AND INFLUENCE 🌍

Prof. Yue’s research has had a profound impact on both the academic community and the industry. His innovative use of Big Data Analytics in water conservancy and civil engineering has transformed how data is used in real-time decision-making, helping optimize water resource management on a large scale. His work influences policy decisions, infrastructure development projects, and sustainability strategies, improving water conservation efforts in China and beyond. Prof. Yue has also mentored a generation of engineers and researchers, sharing his knowledge and experience to cultivate future leaders in the field.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Prof. Yue has authored numerous papers in high-impact journals, with a focus on Big Data Analytics and its applications in water management and civil engineering. His publications cover topics such as predictive modeling, real-time water quality monitoring, and optimization of water distribution systems using machine learning. His research is widely cited in the academic community, reflecting the significance of his work in the integration of Big Data with engineering practices.

HONORS & AWARDS 🏆

Prof. Yue’s exceptional contributions to Big Data Analytics and water conservancy have earned him various honors and awards, including:

  • Best Paper Award, International Conference on Water Management and Engineering (2022)
  • Outstanding Researcher Award, Shandong Agricultural University (2021)
  • Excellence in Teaching Award, College of Water Conservancy and Civil Engineering (2020)
  • Innovation in Data Science Award (2019)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Prof. Yue’s work is paving the way for the next generation of engineers who will rely on data analytics to create sustainable and efficient infrastructure solutions. His future contributions promise to further the development of smart cities, improve water resource management, and enhance the overall resilience of urban environments to climate change. As he continues to innovate and mentor young engineers, his legacy will endure, shaping the future of civil engineering and environmental sustainability.

FINAL NOTE 📌

Prof. Qiang Yue’s career has been defined by his commitment to applying cutting-edge technology to real-world problems in water conservancy and civil engineering. His research is reshaping how engineers and policymakers approach water management and sustainability. His ability to blend Big Data Analytics with traditional engineering disciplines is a testament to his vision for the future of infrastructure and environmental protection.

 TOP NOTES PUBLICATIONS 📚

Dynamic health prediction of plain reservoirs based on deep learning algorithms
    • Authors: Z., Zhu; Zhaohui, H.; Wu, Hao; Z., Zhang, Zhicheng; R., Wang, Rui; Q., Yue, Qiang
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2025
Recognition and quantification of apparent damage to concrete structure based on computer vision
    • Authors: J., Liu, Jiageng; H., Sun, Hongyu; Q., Yue, Qiang; Y., Jia, Yanyan; S., Wang, Shaojie
    • Journal: Measurement: Journal of the International Measurement Confederation
    • Year: 2025

Antonio Palacios-Rodríguez | Educational Technology | Most Cited Paper Award

Prof. Dr. Antonio Palacios-Rodríguez | Educational Technology | Most Cited Paper Award

Prof. Dr. Antonio Palacios-Rodríguez at University of Seville, Spain

👨‍🎓  Profiles

🌟 Summary

Prof. Dr. Antonio Palacios-Rodríguez is an Assistant Professor at the University of Seville, specializing in educational technology, digital competence, and teacher training. With a PhD in Education, he focuses on developing digital skills among educators, contributing significantly to the field through numerous publications and presentations.

🎓 Education

He earned his PhD in Education with an Outstanding Cum Laude from the University of Seville in 2022. Prior to that, he completed a Master’s in Management, Evaluation, and Quality of Training Institutions in 2018 and a Bachelor’s in Primary Education in 2017, receiving an Extraordinary Award.

💼 Professional Experience

Currently, he serves as an Assistant Professor in the Department of Didactics and Educational Organization at the University of Seville. He has previously held positions as a Postdoctoral Researcher at the University of Malaga and as an Interim Substitute Professor at the University of Seville.

🏆 Accolades and Recognition

Prof. Palacios-Rodríguez has been recognized with the Award for Best Scientific Article from the Faculty of Education Sciences at the University of Seville and the UNIA-DIGITAL Award for Research from the International University of Andalusia. He has authored 67 high-impact research articles and actively participates in national and international conferences.

🔍 Research Interests

His research interests include the integration of educational technology in teaching, the development of digital competence in educators, and innovative approaches to teacher training and professional development.

📖 Top Noted Publications

Diagnosis of TPACK in Elementary School Teachers: A Case Study in the Colombian Caribbean
    • Authors: Jiménez Sierra, Á., Ortega Iglesias, J., Palacios-Rodríguez, A.
    • Journal: Education Sciences
    • Volume: 14
    • Issue: 9
    • Pages: 1013
    • Year: 2024
Acceptance of Educational Artificial Intelligence by Teachers and Its Relationship with Some Variables and Pedagogical Beliefs
    • Authors: Cabero-Almenara, J., Palacios-Rodríguez, A., Loaiza-Aguirre, M.I., Rivas-Manzano, M.D.R.D.
    • Journal: Education Sciences
    • Volume: 14
    • Issue: 7
    • Pages: 740
    • Year: 2024
Digital Innovation in Language Teaching—Analysis of the Digital Competence of Teachers according to the DigCompEdu Framework
    • Authors: Rubio-Gragera, M., Cabero-Almenara, J., Palacios-Rodríguez, A.
    • Journal: Education Sciences
    • Volume: 13
    • Issue: 4
    • Pages: 336
    • Year: 2023
Medical Education and Cognitive Load: Study of the Interaction with Learning Objects in Virtual Reality and 360º Video
    • Authors: Palacios-Rodríguez, A., Cabero-Almenara, J., Serrano-Hidalgo, M.
    • Journal: Revista de Educación a Distancia
    • Volume: 24
    • Issue: 79
    • Pages: 3
    • Year: 2024
Microlearning in the University Classroom: Use of Virtual Simulator in Biology
    • Authors: Romero-Saritama, J.M., Llorente-Cejudo, C., Rodríguez, A.P., Kalinhoff, C.
    • Journal: Edutec
    • Volume: 88
    • Pages: 24–41
    • Year: 2024
Validation Using Structural Equations of the “Cursa-T” Scale to Measure Research and Digital Competencies in Undergraduate Students
    • Authors: Duarte Ayala, R.E., Palacios-Rodríguez, A., Guzmán-Cedillo, Y.I., Segura, L.R.
    • Journal: Societies
    • Volume: 14
    • Issue: 2
    • Pages: 22
    • Year: 2024
Technological and Sustainable Security: A Longitudinal Study on Teacher Training
    • Authors: Cabero-Almenara, J., Barragán-Sánchez, R., Llorente-Cejudo, C., Palacios-Rodríguez, A.
    • Journal: Computers in the Schools
    • Volume: 41
    • Issue: 3
    • Pages: 263–280
    • Year: 2024