Andrea Reisdorf | Transport and Logistics | Young Scientist Award

Young Scientist Award

Andrea Reisdorf
Vienna University of Economics and Business

Andrea Reisdorf
Affiliation Vienna University of Economics and Business
Country Germany
Scopus ID 60089064700
Documents 4
Citations 9
h-index 2
Subject Area Transport and Logistics
Event Global Innovation Technologist Awards

Andrea Reisdorf is a researcher affiliated with Vienna University of Economics and Business, whose scholarly work contributes to discussions surrounding transport, logistics, industrial competitiveness and the strategic management of critical raw materials. Her research profile includes an internationally published contribution examining the relationship between government intervention, corporate competitiveness and resource-dependent industries. Her collaborative research reflects the growing importance of understanding how geopolitical and economic developments influence industrial operations and supply chain resilience. [1]

Abstract

Andrea Reisdorf’s research addresses the evolving relationship between public authorities, private enterprises and industrial competitiveness in sectors dependent on critical raw materials. Her 2026 publication in Resources Policy develops a competitiveness framework that considers how government strategies, geopolitical relationships and access to essential resources influence business positioning. The research highlights the importance of examining industrial competitiveness beyond conventional market interactions, particularly where strategic resources and international dependencies shape corporate decision-making. [1]

Keywords

Critical Raw Materials; Industrial Competitiveness; Government–Business Relations; Geopolitics; Supply Chain Resilience; Transport and Logistics; Resource Dependency; Strategic Management.

Introduction

Critical raw materials have become strategically important to contemporary industries because of their role in manufacturing, infrastructure, renewable energy and advanced technologies. Their uneven geographical distribution and concentrated supply chains create economic and geopolitical challenges for businesses and governments. Research investigating these relationships is increasingly relevant to industrial policy, international trade and logistics management. Reisdorf’s collaborative publication contributes to this discussion by examining competitiveness through the interaction of corporate activities and government interests. [1]

Research Profile

Reisdorf’s documented research activity includes interdisciplinary engagement with industrial competitiveness and resource-dependent economic systems. Her work connects business perspectives with broader policy and geopolitical considerations, providing an analytical perspective on how external institutional conditions influence enterprises. The research is particularly relevant to transport and logistics because critical material availability, international sourcing and supply chain dependencies are important considerations in industrial operations. Her publication demonstrates engagement with a subject that requires collaboration across business, economics and resource governance.

Research Contributions

The publication, Blurred lines between governments and firms: A competitiveness framework for critical raw material dependent industries, co-authored with Leon Zacharias and Sebastian Kummer, presents a framework for understanding how relationships between governments and companies influence competitiveness. Its central contribution is the extension of traditional firm-level competition perspectives to include state interests, geopolitical power relations and strategic resource access. The accompanying discussion highlights the importance of considering political and regulatory conditions when evaluating industrial performance, including challenges affecting European hydropower industries. [1]

Publications

A notable publication associated with Reisdorf is:

  • Reisdorf, A. R., Zacharias, L., and Kummer, S. (2026). Blurred lines between governments and firms: A competitiveness framework for critical raw material dependent industries.

Research Impact

According to the supplied Scopus profile information, Reisdorf has four indexed documents, nine citations and an h-index of two. These indicators provide a quantitative overview of her recorded scholarly output and citation activity. Her research also addresses an important international issue: the influence of strategic material dependencies on industrial competitiveness. Its relevance extends to supply chain planning, business strategy, international resource governance and policy discussions concerning economic resilience.

Award Suitability

Reisdorf’s research profile demonstrates relevance to the Young Scientist Award category under the Global Innovation Technologist Awards. Her collaborative publication addresses a contemporary industrial challenge through an interdisciplinary competitiveness framework. The integration of government–business relationships, geopolitical considerations and critical resource dependencies represents a meaningful research contribution to current discussions on industrial transformation. Her documented publication activity and developing citation record provide additional indicators for consideration in an academic recognition assessment.

Conclusion

Andrea Reisdorf’s research contributes to the understanding of industrial competitiveness in an increasingly interconnected and resource-dependent global economy. Her 2026 publication highlights the importance of incorporating geopolitical and institutional relationships into business and supply chain analysis. Through interdisciplinary collaboration and engagement with strategically significant research questions, she demonstrates a scholarly contribution relevant to the Young Scientist Award category.

References

  1. Reisdorf, A. R., Zacharias, L., & Kummer, S. (2026). Blurred lines between governments and firms: A competitiveness framework for critical raw material dependent industries. Resources Policy, 122, Article 106086. Elsevier.
    https://doi.org/10.1016/j.resourpol.2026.106086
  2. Elsevier. (2026). Scopus author details: Andrea Reisdorf, Author ID 60089064700. Scopus.
    Scopus Author Profile
  3. Elsevier. (2026). Resources Policy. Journal publication and article information.
  4. Kummer, S. (2026). Research announcement: Blurred lines between governments and firms. Publication overview and discussion of research contributions.
  5. Global Innovation Technologist Awards. (2026). Official awards website.
    innovationtechnologist.com

Yunwen Xu | Intelligent Transportation Control | Best Researcher Award

Dr. Yunwen Xu | Intelligent Transportation Control | Best Researcher Award

Associate researcher at Shanghai Jiao Tong University | China

Dr. Yunwen Xu is an accomplished Associate Researcher and Doctoral Supervisor at Shanghai Jiao Tong University, recognized for her impactful contributions to intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her research bridges advanced control theory with practical applications in intelligent mobility and energy management. She has authored over 50 peer-reviewed publications, including 15 in top-tier journals, and her work is highly cited, with a total of 499 citations and 473 since 2020. Dr. Xu’s research impact is reflected in an h-index of 9 and an i10-index of 9, highlighting the influence and relevance of her work in the field. She has developed innovative predictive control models that optimize large-scale, stochastic traffic systems, advancing traffic flow regulation under vehicle-to-everything (V2X) and autonomous vehicle frameworks. Her contributions have led to six authorized patents and multiple successful technology transfers, demonstrating her ability to translate research into practical industrial solutions. She has led multiple national and provincial projects and collaborated with industry partners to implement intelligent control systems for microgrids and advanced temperature regulation technologies. Her achievements have earned her academic and technological awards, including recognition for excellence in process control and autonomous driving algorithm innovation. As an active member of technical committees under the Chinese Association of Automation, Dr. Xu continues to drive advancements in predictive control and intelligent decision-making systems, fostering the development of smarter, more efficient, and sustainable urban mobility ecosystems.

Profile: Google Scholar

Featured Publications

Sheng, Z., Xu, Y., Xue, S., & Li, D. (2022). Graph-based spatial-temporal convolutional network for vehicle trajectory prediction in autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 23(10), 17654–17665.

He, S., Chen, W., Li, D., Xi, Y., Xu, Y., & Zheng, P. (2021). Iterative learning control with data-driven-based compensation. IEEE Transactions on Cybernetics, 52(8), 7492–7503.

Xu, Y., Li, D., Xi, Y., Lan, J., & Jiang, T. (2018). An improved predictive controller on the FPGA by hardware matrix inversion. IEEE Transactions on Industrial Electronics, 65(9), 7395–7405.

Yang, L., Lu, J., Xu, Y., Li, D., & Xi, Y. (2020). Constrained robust model predictive control embedded with a new data‐driven technique. IET Control Theory & Applications, 14(16), 2395–2405.

Xu, Y., Xi, Y., Li, D., & Zhou, Z. (2016). Traffic signal control based on Markov decision process. IFAC-PapersOnLine, 49(3), 67–72.

Ke Wang | Travel Demand Modeling | Best Researcher Award

Assoc. Prof. Dr. Ke Wang | Travel Demand Modeling | Best Researcher Award

Associate Professor at University of Shanghai for Science and Technology, China

Ke Wang is an Associate Professor at the University of Shanghai for Science and Technology, specializing in travel behavior analysis, travel demand modeling, sustainable mobility, and data mining. His research contributions focus on advanced econometric models and machine learning techniques for understanding travel behavior and transportation systems. With over 190 citations, an H-index of 7, and an i-10 index of 6, Ke Wang has published extensively in high-impact transportation journals and conferences.

Publication Profile 

Scopus

Educational Background 🎓

  • Joint Ph.D. in Transportation Engineering (2018.09 – 2019.09)

    • University of Texas at Austin

    • Supervisor: Prof. Chandra R. Bhat

  • Ph.D. in Transportation Engineering (2015.09 – 2021.01)

    • Tongji University

    • Supervisor: Prof. Xin Ye

  • B.E. in Transportation Engineering (2011.09 – 2015.06)

    • Chang’an University

Professional Experience 💼

  • Associate Professor (2024.07 – Present)

    • University of Shanghai for Science and Technology

  • Assistant Professor (2021.06 – 2024.06)

    • University of Shanghai for Science and Technology

  • Research Assistant (2018.09 – 2019.09)

    • Center for Transportation Research, University of Texas at Austin

  • Research Assistant (2013.12 – 2015.06)

    • Institute of Regional and Urban Transportation Economics, Chang’an University

Research Interests 🔬

  • Travel Behavior Analysis & Travel Demand Modeling

  • Sustainable Mobility & Urban Transportation Planning

  • Advanced Econometric & Machine Learning Models for Transportation

  • Shared Autonomous Vehicles & Ride-Hailing Services

  • Public Transport Accessibility & Mode Choice Analysis

Conclusion🌟

Ke Wang is a rising scholar in transportation engineering, contributing innovative methodologies to travel behavior modeling and sustainable mobility. His research integrates statistical modeling, artificial intelligence, and urban transportation systems to inform policy decisions. His extensive publication record in top-tier journals (SSCI, SCI, JCR Q1-Q3) demonstrates his influence in the field.

Publications 📚

📄 Article | ✈️ Urban Air Mobility & Flying Cars
Title: Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars
Authors: S. Hu, Z. Huang, K. Wang, H. Lin, M. Pei
Journal: Multimodal Transportation (2025)
📌 Citations: 0


📄 Article | 🚲 E-Bike Helmet Usage & Safety
Title: Deconstructing the barriers and facilitators of e-bike helmet usage: A structural equation modeling approach
Authors: M. Pei, Z. Huang, K. Wang, X. Ye
Journal: Journal of Transport and Health (2025)
📌 Citations: 0


📄 Article | 🚗 Mobility as a Service (MaaS) & Face Consciousness
Title: The effects of face consciousness on young travelers’ intention to adopt mobility as a service (MaaS): A case study in Shanghai, China
Authors: J. Wen, H. Gan, K. Wang, Y. Huang, H. Lu
Journal: Research in Transportation Economics (2025)
📌 Citations: 0


📄 Article | ⚡ EV Range Anxiety & Willingness to Pay
Title: Range anxiety and willingness to pay: Psychological insights for electric vehicles
Authors: M. Pei, Z. Huang, Z. Zhang, K. Wang, X. Ye
Journal: Journal of Renewable and Sustainable Energy (2025)
📌 Citations: 0


📄 Article | 🌍 Carbon Emissions & Power Sector Transformation
Title: Carbon emission drivers of China’s power sector and its transformation for global decarbonization contribution
Authors: L. Zhao, K. Wang, H. Yi, J. Zhen, H. Hu
Journal: Applied Energy (2024)
📌 Citations: 4