Meiyi Li | Industrial Upgrading | Best Researcher Award

Dr. Meiyi Li | Industrial Upgrading | Best Researcher Award

Dr. Meiyi Li | Industrial Upgrading – Lecturer at Tianshui Normal University, China

Dr. LI Meiyi is an emerging academic scholar whose work bridges the dynamic intersections of the digital economy, industrial chain resilience, and sustainable development. As a research-focused faculty member at Tianshui Normal University, Dr. Li has quickly built a strong portfolio of impactful publications, collaborative projects, and forward-thinking investigations aimed at solving regionally and globally significant challenges. Her research consistently addresses the transitions occurring in emerging economies and explores how digital transformation can enable more resilient, equitable, and ecologically conscious systems of growth. Dr. Li is known for combining empirical depth with policy relevance, making her a promising candidate for prestigious academic recognition.

Academic Profile

SCOPUS

Education

Dr. Li’s educational path demonstrates academic excellence and global orientation. She earned her Ph.D. from Taylor’s University in Malaysia (2020–2024), where she focused her research on the role of digital transformation in industrial and ecological upgrading. Prior to that, she completed her Master of Arts at Staffordshire University in the United Kingdom (2016–2017), graduating among the top 5% of her class with a GPA of 3.8/4.0. This international academic experience has not only enhanced her intercultural competence but also broadened her research lens to approach development and innovation from both localized and comparative global standpoints.

Experience

Currently serving at Tianshui Normal University, Dr. Li is deeply involved in academic research, project execution, and scholarly dissemination. She has led and co-led university-funded projects, including a RMB 60,000 grant exploring the integration of “low-altitude + cultural tourism” industries in Gansu Province, and another project valued at RMB 20,000 studying the digitally empowered integration of cultural heritage and tourism in Western China. Additionally, she has actively participated in national and provincial-level key projects, reflecting her ability to engage with high-impact, policy-driven research. Her institutional and national engagements mark her as a researcher committed to advancing both theoretical knowledge and practical application.

Research Interests

Dr. Li’s core research interests revolve around the digital economy, industrial chain resilience, green and low-carbon transition, and the intersection of technology with cultural heritage and tourism. Her recent work explores how digital transformation influences new quality productivity, sustainable industrial development, and ecological upgrading. She is particularly focused on Western China, where these issues are not only academically pressing but vital to regional planning, poverty reduction, and economic modernization. Her interdisciplinary approach allows her to bridge economics, digital policy, sustainability studies, and regional development into one cohesive research platform.

Awards

While still in the early stages of her academic career, Dr. Li has already earned institutional recognition through her success in securing internal university research funding and contributing to nationally significant research teams. Her position in the top 5% of her master’s cohort, successful project acquisition, and publication in peer-reviewed international journals all signal academic distinction. These achievements collectively make her an outstanding candidate for the Best Researcher Award.

Publications 📚

📈 “More Philanthropy, More Consistency?” (2025) – ECONOMICS – The Open Access Open-Assessment E-Journal – Analyzes the impact of charitable donations on ESG rating uncertainty; cited in corporate governance and sustainability policy discussions.
🌾 “Agriculture Land Use Transformation” (2024) – PLOS – Explores threats to food systems and rural livelihoods; cited in 30+ interdisciplinary studies on food security.
💻 “The Role and Policy Effects of the Digital Economy on New Quality Productivity” (2024) – Social Scientist – A strategic view on how digitalization transforms industrial ecology; cited by scholars in industrial policy and innovation.
🔧 “Driving Mechanisms and Improvement Paths of Industrial Leapfrogging” (2023) – Science of Science and Management of S&T – Examines digital economy’s mediating role via technological innovation; referenced in over 25 academic citations.
🌿 “Measurement and Efficiency Enhancement Mechanism of Agricultural Industrial Structure in Gansu Province” (2022) – Gansu Science and Technology Forum – Assesses structural optimization strategies in agriculture; cited by regional planning scholars.
🏞️ “Digitally Empowered Cultural Tourism Integration in Western China” (2024) – Internal University Project Whitepaper – Offers actionable frameworks for fusing digital tools with cultural heritage; received institutional commendation.
📊 “Low-Altitude Economic Models in Gansu Province” (2025) – Tianshui Normal University Working Paper – Provides a model for eco-tourism development using drone-based logistics and low-airspace economies.

Conclusion

Dr. LI Meiyi exemplifies the caliber of researcher deserving of the Best Researcher Award. Her blend of international education, interdisciplinary experience, and commitment to solving real-world challenges through academic rigor is both commendable and inspiring. Her ability to translate complex digital and ecological theories into practical, policy-relevant insights for Western China’s sustainable development is particularly valuable. As her career continues to ascend, Dr. Li is poised to make even greater contributions to academia, public policy, and sustainable industrial transformation. Recognizing her at this stage will not only validate her achievements but also empower her to lead the next generation of research on digital and green transitions.

Wentao Zhao | Task Scheduling | Best Researcher Award

Mr. Wentao Zhao | Task Scheduling | Best Researcher Award

Mr. Wentao Zhao | Task Scheduling – Undergraduate Student at New York University, China

Wentao Zhao is an accomplished researcher and data scientist with a strong background in mathematics, economics, and artificial intelligence. His expertise spans machine learning, financial analytics, and data-driven decision-making, with a focus on applying AI techniques in business optimization and healthcare diagnostics. With extensive research experience in deep learning, numerical analysis, and predictive modeling, Wentao has made valuable contributions to intelligent systems, speech-based diagnostics, and recommendation algorithms. His ability to bridge theoretical insights with practical applications has positioned him as a leading innovator in AI-driven analytics and finance.

Professional Profile 

ORCID

🎓 Education

Wentao Zhao is currently pursuing a Bachelor of Arts with a double major in Mathematics and Economics at New York University. His academic excellence is reflected in his consistent placement on the Dean’s List from 2021 to 2024, maintaining a GPA of 3.82. Additionally, his role as a Teaching Assistant (TA) for “Intro to Web Design and Computer Principles” highlights his dedication to mentorship and knowledge-sharing. His strong mathematical foundation and analytical skills provide the perfect synergy for his research in artificial intelligence and financial modeling.

💼 Experience

Wentao has gained extensive industry and research experience through multiple roles in data science, financial analytics, and artificial intelligence research. As a Data Scientist Intern at Didi Chuxing, he developed Python-based clustering algorithms and regression models to analyze customer data and optimize retention strategies. His work in A/B testing, customer segmentation, and attribution analysis helped improve customer lifetime value and drive a 79.3% conversion rate in recommendation systems.

At CITIC Securities, he worked as a Divestment Data Analyst Intern, where he built automated financial pipelines, performed equity valuation, and analyzed financial ratios using Python. His work streamlined regulatory compliance and enhanced investment decision-making. Similarly, his internship at China Merchants Securities focused on financial risk assessment, SQL-based data extraction, and portfolio optimization, equipping him with comprehensive insights into asset management and securities analysis.

Beyond his industry roles, Wentao has actively contributed to academic research. His role as a Research Assistant for Speech-Based Alzheimer’s Disease Diagnosis allowed him to integrate deep learning with audio-text processing, improving diagnostic accuracy. His independent research on Netflix’s recommendation system showcased his ability to optimize numerical algorithms for large-scale data efficiency and computation speed.

🔬 Research Interests

Wentao Zhao’s research interests lie at the intersection of AI, finance, and healthcare analytics. He is passionate about developing AI-driven models for business intelligence, predictive analytics, and recommendation systems. His research in machine learning for financial risk assessment focuses on applying quantitative techniques to optimize investment strategies. In addition, his work in speech-based Alzheimer’s diagnostics aims to revolutionize early detection of neurodegenerative diseases using deep learning. His commitment to numerical analysis, high-performance computing, and intelligent decision-making systems underscores his dedication to advancing cutting-edge AI applications.

🏅 Awards & Recognitions

  • Dean’s List (2021-2024) for academic excellence.
  • Top Performer in Data Science Internship at Didi Chuxing.
  • Recognition for Research Contributions in AI-based Alzheimer’s detection.
  • Outstanding Project Award for work on Netflix recommendation optimization.

📚 Selected Publications

  1. A Novel Fatigue Driving Detection Method Based on Whale Optimization and Attention-enhanced GRU 🚗🤖Z. Li, M. Li, L. Shi, D. Li | Intelligence and Robotics, 2024 | 0 Citations
  2. A Finger Vein Liveness Detection System Based on Multi-Scale Spatial-Temporal Map and Light-ViT Model ✋🔍L. Chen, T. Guo, L. Li, W. Luo, Z. Li | Sensors (Switzerland), 2023 | 1 Citation
  3. U-Net-Embedded Gabor Kernel and Coaxial Correction Methods to Dorsal Hand Vein Image Projection System 🖐️📊L. Chen, M. Lv, J. Cai, Z. Guo, Z. Li | Applied Sciences (Switzerland), 2023 | 0 Citations
  4. Analysis and Design of SIMO CPT System with Constant Output Voltage Pickups Against Load Variation and Pickups Moving In/Out ⚡🔌X. Qing, Y. He, Z. Li, Y. Liu, Z. Zhang | No Source Information | 0 Citations

📌 Conclusion

Wentao Zhao is an exceptional candidate for the Best Researcher Award due to his outstanding research contributions, industry experience, and technical expertise. His ability to develop AI-driven solutions for business, finance, and healthcare reflects his versatility and impact in multiple domains. His work in deep learning for Alzheimer’s diagnosis, financial analytics, and recommendation systems showcases both academic rigor and real-world applicability. With a commitment to pioneering innovative AI research, Wentao Zhao is poised to make transformative contributions to the field of intelligent computing and data science. 🚀