Dr. Shu Tang | Management Studies | Best Researcher Award

Dr. Shu Tang | Management Studies | Best Researcher Award

Dr. Shu Tang | PhD candidate | Pukyong National University | China

Academic Background

Shu Tang is currently pursuing a PhD in Management at the Graduate School of Management of Technology, Pukyong National University in the Republic of Korea. Prior to this, Shu Tang completed a Master of Laws in Economics at Jilin Normal University and a Bachelor of Economics in Finance at Liaoning Technical University. This strong academic foundation combines rigorous economic theory with practical management applications, preparing Shu Tang for advanced research and analytical problem-solving in the field of business and economics.

Research Focus

Shu Tang’s research primarily explores the intersection of economic development, industrial transformation, and talent cultivation. The work emphasizes strategies for upgrading traditional manufacturing industries through digital innovation and e-commerce, as well as predicting energy market trends using quantitative models. Shu Tang is particularly interested in applied research that integrates governmental, academic, and enterprise collaboration to foster local economic growth and workforce development.

Work Experience

Shu Tang has actively engaged in research projects focusing on regional economic development and talent training. This includes studies on the industrial transfer demonstration zones and strategies for upgrading traditional manufacturing industries. Shu Tang has also explored innovative approaches for e-commerce talent training and investigated contemporary family education practices, highlighting an interdisciplinary approach to social and economic challenges.

Key Contributions

Shu Tang has made significant contributions in both applied economics and social sciences. This includes developing models for predicting natural gas prices, analyzing regional industrial transformation strategies, and proposing practical pathways for cultivating talent in emerging sectors. These contributions bridge theoretical research and practical implementation, providing actionable insights for policy-makers, educational institutions, and local enterprises.

Awards & Recognition

Shu Tang has been recognized as an outstanding graduate of Jilin Normal University and has received multiple accolades for academic excellence, including a university-level scholarship and awards in provincial market research competitions. These honors reflect a consistent record of high achievement and dedication to advancing knowledge in economics and management.

Professional Roles & Memberships

Shu Tang actively participates in academic and research communities, collaborating with local governments, universities, and industry associations. Through these roles, Shu Tang contributes to applied research initiatives that promote regional development and educational innovation. Participation in research planning projects has fostered a strong network of professional relationships and strengthened expertise in policy-driven economic analysis.

Profile

ORCID

Featured Publications

Tang, S. (2025). An applied study on predicting natural gas prices using mixed models. Energies, 18, 5303.

Impact Statement / Vision

Shu Tang aims to advance research that supports sustainable economic development and talent cultivation in rapidly transforming industries. By integrating analytical models with practical policy insights, Shu Tang seeks to bridge the gap between academic research and real-world economic solutions, fostering innovation and growth in regional and industrial contexts.

Dr. JOONSOO KIM | Digital Transformation | Best Researcher Award

Dr. JOONSOO KIM | Digital Transformation | Best Researcher Award

Postdoctoral Researcher, Korea Institute of Construction Technology (KICT), South Korea.

Dr. Joon-Soo Kim is an innovative and skilled researcher in Construction Management, with a strong command of advanced data analytics, machine learning, and environmental sustainability. His academic and research work uniquely integrates engineering with cutting-edge technologies such as text mining and big data to enhance construction safety and efficiency. Currently serving as a Postdoctoral Researcher at the Korea Institute of Civil Engineering and Building Technology (KICT), Dr. Kim is highly regarded for developing reliable decision-making models tailored to complex engineering challenges. His expertise spans from eco-friendly engineering solutions to smart waste management systems, making him a vital contributor to sustainable civil engineering research. 🏗️📊🌿

Publication Profile

Scopus

🎓 Education Background

Dr. Kim earned his Ph.D. in Construction Environment and Energy Engineering from Kyungpook National University, where his dissertation explored road construction environmental load and cost estimation using machine learning. He also holds a Master’s in Construction Systems Engineering with a specialization in Geotechnical and Road Engineering, and a Bachelor’s degree in Civil Engineering—all from the same university. His academic path reflects a strong commitment to applying data-driven insights to real-world infrastructure problems. 🎓📚

💼 Professional Experience

Dr. Kim is currently a Postdoctoral Researcher at KICT, contributing to advancements in civil infrastructure and environmental solutions. Prior to this, he worked at the Intelligent Construction Automation Research Center, Kyungpook National University, for over three years. He also shared his expertise as a lecturer at Daegu University, teaching courses such as Basic Statistics and Construction Management. His combined academic and field experience empowers him to lead high-impact research in civil engineering. 🏢👨‍🏫

🏅 Awards and Honors

Dr. Kim holds registered intellectual property rights, including a software-based Construction Waste Information Management (CWIM) system using QR codes (2023), and a patented Eco-Friendly Value Engineering Decision Analysis System (Patent No. 10-1745567, registered in 2017). These innovations underscore his commitment to enhancing efficiency and sustainability in construction engineering through smart technologies. 🏆📜💡

🔍 Research Focus

Dr. Kim’s primary research areas include construction safety, environmental load management, and project efficiency, with a strong focus on big data, machine learning, and geospatial analysis. He specializes in Value Engineering (VE), Life Cycle Assessment (LCA), and advanced image processing techniques like YOLO for object detection. His multidisciplinary approach supports disaster prevention and promotes green building practices. 🔎🌱📈

📘 Conclusion

Combining strong academic foundations with hands-on innovation, Dr. Joon-Soo Kim continues to make significant strides in the civil and construction engineering fields. His work not only enhances safety and environmental responsibility but also sets a benchmark in leveraging AI-driven methodologies for engineering problem-solving. 👏🌐🚧

📚 Top Publications with 

  1. Image Processing and QR Code Application Method for Construction Safety Management
    Kim, J.-S., Yi, C.-Y., & Park, Y.-J., 2021, Applied Sciences
    📑 Cited by: 18 articles (as per Google Scholar)

  2. Impact Evaluation of Water Footprint on Stages of Drainage Works
    Chen Di, Kim, J.-S., Batagalle V., & Kim, B.-S., 2020, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 6 articles

  3. Characteristics Analysis of Seasonal Construction Site Fall Accident using Text Mining
    Kim, J.-S., & Kim, B.-S., 2019, Journal of the Korea Institute of Construction Engineering and Management
    📑 Cited by: 11 articles

  4. Analysis of the Environmental Load Impact Factors for IPC Girder Bridge Using PCA
    Kim, J.-S., Jeon, J.-G., & Kim, B.-S., 2018, Journal of the Korea Institute of Construction Engineering and Management
    📑 Cited by: 9 articles

  5. Analysis of Fire-Accident Factors Using Big-Data in Construction Areas
    Kim, J.-S., & Kim, B.-S., 2017, KSCE Journal of Civil Engineering
    📑 Cited by: 34 articles

  6. Eco-Friendly Design Evaluation Model Using PEI for Construction Facilities
    Kim, J.-S., & Kim, B.-S., 2017, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 10 articles

  7. Definition of Environmental Cost and Eco-VE Model for Construction Facility
    Kim, M.-J., Kim, J.-S., & Kim, B.-S., 2016, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 7 articles

  8. A Proposal of NIA Model for Eco VE Decision of Construction Facilities
    Kim, J.-S., & Kim, B.-S., 2015, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 12 articles