Yong Zhu | Policy Entity Network Analysis | Research Excellence Award

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Dr. Yong Zhu | Policy Entity Network Analysis | Research Excellence Award

University of Melbourne | Australia

Dr. Yong Zhu is an emerging researcher specializing in data science, policy analysis, and computational social science, with a focus on topic modeling and intelligent data-driven decision-making. His work integrates advanced natural language processing techniques, including fine-tuned RoBERTa models, to analyze science, technology, and environmental policies. He has contributed to both conference and journal publications, including research on policy evolution and governance networks. Additionally, he has developed a topic modeling data analysis and visualization platform that supports automated analytics and visual insights. His contributions also extend to multiple academic book chapters on think tank research and evaluation. With an h-index of 1, 2 documents, and 1 citation, his profile reflects early-stage yet promising contributions to data-driven policy research and analytical systems development.

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Featured Publications

El khansa Lameche | Decision Support Tools, Adaptation to Climate Change | Outstanding Research Achievement Award

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Dr. El khansa Lameche | Decision Support Tools, Adaptation to Climate Change | Outstanding Research Achievement Award

Laarbi Ben M'hidi University | Algeria

Dr. El Khansa Lameche is a researcher specializing in urban hydrology, flood risk assessment, and climate-adaptive drainage systems, with a focus on modeling and mitigating flood hazards in arid and semi-arid regions. Her work emphasizes numerical modeling of urban drainage networks, rainfall analysis, and the impacts of climate change on flood intensity and frequency. She has contributed to studies on flood mitigation strategies and hydraulic performance in cities such as Algiers, with publications in journals like Water Science & Technology and Urban Climate. Her research integrates data-driven modeling and environmental analysis to improve urban resilience. With an h-index of 2, 40 citations, and multiple scholarly documents, her profile reflects emerging contributions to water resource management and sustainable urban infrastructure development.

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Jie Hui Ng | Traffic Big Data Mining and Analysis | Network Science Excellence Award

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Mr. Jie Hui Ng | Traffic Big Data Mining and Analysis | Network Science Excellence Award

Tsinghua University | Malaysia

Mr. Jie Hui Ng is an emerging researcher specializing in traffic big data mining, network analysis, and travel behavior modeling, with a growing scholarly impact reflected through his h-index, document count, and citation metrics. His research focuses on leveraging sparse data environments to extract meaningful mobility insights, particularly through advanced data-driven frameworks. His notable work, TravelForest, introduces a trajectory reconstruction and travel path selection framework using sparse license plate recognition (LPR) data, integrating road network topology and dynamic traffic conditions. By extending the random forest model with an interpretable structure, his approach achieves high accuracy and robustness under limited data availability. His contributions also reveal key determinants of route choice, such as turn frequency and data coverage, while supporting scalable, real-time traffic analysis. Furthermore, his research advances proactive traffic signal control optimization, enhancing intelligent transportation systems and urban mobility efficiency.

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Featured Publications

Feng Yu | Business Research

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Feng Yu – Business Research

🏆🌟 Congratulations to Yu FENG on Winning the Best Research Award! 🌟🏆

Student/Member Chongqing University, China

Your dedication, hard work, and innovative contributions have not only earned you this prestigious recognition but have also significantly advanced the field of Economics and Management. 🎓 Your exceptional research on “Novel Multi Supply Chains Optimization Mechanism Based on Machine Learning and Double Auctions” and “Auction-Based Deep Learning-Driven Smart Agricultural Supply Chain Mechanism” has undoubtedly made a lasting impact.

This achievement is a testament to your intellectual prowess, relentless pursuit of knowledge, and commitment to excellence. 🌐 Your participation in conferences and symposia, presenting groundbreaking ideas on topics like vertical collaborative R&D innovation and smart agricultural supply chains, showcases your leadership in the academic community.

Your journey, from academic success at Ningxia University to your current pursuit of a Ph.D. at Chongqing University, reflects a trajectory of continuous growth and contribution to the academic landscape. 📚 Your entrepreneurial ventures, leadership roles, and internship experiences further underscore your versatile skill set.

As you receive this well-deserved accolade, may it serve as a stepping stone to even greater accomplishments in your future endeavors. 🚀 Your dedication to research excellence sets a standard for others to follow, and we eagerly anticipate witnessing the impact of your future contributions.

Once again, congratulations on this outstanding achievement, and may your passion for research continue to illuminate new paths in the world of academia! 🎉👏🌟

👨‍💼 Yu FENG’s Profile

🎓 Educational Background:

  • Ph.D. in Economics and Management
    • Chongqing University (2020.6 – Present)
    • School of Economics and Management
  • Master’s Degree in Economics Experimental Class
    • Ningxia University (2017.3 – 2018.8)
    • Specialized in E-commerce, Innovation, and Entrepreneurship
  • Bachelor’s Degree in Economics and Management
    • Ningxia University (2016.9 – 2020.6)
    • Ranked 3/107, received national comprehensive first-class scholarship and second-class scholarship multiple times
    • Awards: 1 national, 5 provincial, 10 school-level awards
    • Actively participated in 6 competitions, winning 8 awards

📚 Publications:

  1. Novel Multi Supply Chains Optimization Mechanism Based on Machine Learning and Double Auctions
    • Published in FRACTALS, 2023.
  2. Auction-Based Deep Learning-Driven Smart Agricultural Supply Chain Mechanism
    • Published in Applied Soft Computing, 2023.

📅 Conferences & Symposia:

  1. Vertical Collaborative R&D Innovation Mode for Industrial Clusters
    • Presented at the 18th Annual Conference on Science and Technology Policy and Management in China, 2022.
  2. Optimization Mechanism of Smart Agricultural Supply Chain Based on Cooperative Game Driving
    • Presented at the 24th Annual Conference of China Academy of Management Science, 2022.
  3. Supply Chain Game Analysis on the Effect of Transportation Time on Fresh Produce Quality
    • Presented at the 19th Annual Conference on Science and Technology Policy and Management in China, 2023.
  4. Multi-Objective Hypothesis Driven E-commerce Operation Mode Analysis for Wechat Public Account under the Background of Epidemic
    • Presented at the 15th International Conference on Trade, Business, Economics, and Law, 2023.

💼 Work & Practice:

  • Student Leadership Roles:
    • Minister of Innovation & Entrepreneurship Department
    • President of a club
  • Social Practice:
    • Project Leader of Ningxia University-Jingdong EcoCampus Project
    • Part-time counselor at Chongqing University
  • Entrepreneurial Experience:
    • Established a human resource studio
    • Founded an escort department
  • Internship Experience:
    • E-commerce operation and management at Taobao business unit
    • Worked at Hubei Badong County Yandu River Town Financial and Economic Office

🚀 Yu FENG has demonstrated academic excellence, leadership, and a strong commitment to innovation and entrepreneurship. Keep up the impressive work! 👏🌟

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