Jian Hou | Finance | Best Researcher Award

Assoc. Prof. Dr. Jian Hou | Finance | Best Researcher Award

Assoc. Prof. Dr. Jian Hou – Associate Professor, College of Economics and Management, Inner Mongolia University of Technology, China.

Dr. Jian Hou is an accomplished Associate Professor at the School of Economics and Management, Inner Mongolia University of Technology. With a Ph.D. from Dalian University of Technology (2012), Dr. Hou has become a leading researcher in green supply chain finance, mathematical finance, and game theory. He has led over 16 completed and 3 ongoing research projects and contributed significantly to academic literature with more than 30 journal publications. His expertise lies in operations research, supply chain optimization, and financial mathematics. Dr. Hou’s practical contributions have been adopted by government policy bodies and acknowledged through several academic and industrial honors.

Publication Profile

ORCID

🎓 Education Background

Jian Hou received his Ph.D. in 2012 from the prestigious Dalian University of Technology, China, where he specialized in the fields of finance and systems engineering. His academic journey built a solid foundation in operations research, financial analysis, and game theory. His advanced education fostered his later contributions to mathematical modeling and strategic decision-making in supply chains. The rigorous training and exposure at Dalian University equipped him to become a recognized scholar in interdisciplinary research, blending economics, technology, and sustainable logistics. His educational credentials continue to shape his innovation in theoretical and applied research.

💼 Professional Experience

Currently serving as an Associate Professor at the School of Economics and Management, Inner Mongolia University of Technology, Jian Hou has demonstrated leadership in academia and research. Over his career, he has spearheaded numerous funded projects, contributed as a mentor, and worked on government consultancy assignments. He has been a member of various expert pools, such as the Science and Technology Expert Pool of Inner Mongolia. His professional journey reflects dedication to higher education, research, and policy-making, particularly in the areas of big data, logistics, and green finance. His influence extends to guiding student competitions and practical policy recommendations.

🏅 Awards and Honors

Dr. Jian Hou has received multiple accolades recognizing his excellence in research and contribution to society. He has been honored with two provincial and ministerial-level awards and several industry-specific recognitions. Additionally, his work has been practically implemented by local government authorities, reflecting its real-world relevance. As a committed mentor, he has guided students who earned national awards. His profile as an award-winning academic is further bolstered by editorial roles and professional memberships in key Chinese associations focused on innovation methodology, logistics, and science and technology advisory services.

🔬 Research Focus

Jian Hou’s primary research domains include green supply chain finance, mathematical finance, game theory, and operations research. His academic output features 32 peer-reviewed journal publications indexed in SCI, SSCI, and Scopus. He has published 14 books with ISBNs and holds 8 patents, showcasing innovation in logistics and financial modeling. Notably, his research aims to address pressing economic and environmental challenges through the lens of optimization and uncertainty modeling. By fusing theory with application, his work drives forward sustainability, financial efficiency, and data-driven decision-making across industries.

📌 Conclusion

Jian Hou is a prolific academic whose contributions in supply chain finance, mathematical modeling, and green economics mark him as a standout researcher in China’s academic and innovation ecosystem. With a strong publication record, practical project execution, policy influence, and student mentorship, he exemplifies a scholar with real-world impact. His dedication to interdisciplinary research and academic rigor makes him a deserving nominee for the Best Researcher Award, with a bright future ahead in shaping policy, industry, and the next generation of researchers.

📝 Publication Top Notes

1. Green Hydrogen Supply Chain Decision-Making and Contract Optimization Under Uncertainty: A Pessimistic-Based Perspective
Published in: Sustainability, 2025
Cited by: 3 articles

2. Risk Aversion Decision Model of Supply Chain Finance Considering Low Carbon and Carbon Trading
Published in: Annals of Operations Research, 2023
Cited by: 9 articles

3. Game Analysis and Empirical Test of Supply Chain Finance Under Financial Constraints
Published in: Journal of Cleaner Production, 2021
Cited by: 21 articles

4. Mathematical Optimization for Green Innovation in Supply Chains Under Risk Preferences
Published in: European Journal of Operational Research, 2020
Cited by: 26 articles

5. An Incentive Contract for Green Supply Chains with Asymmetric Information
Published in: Omega – The International Journal of Management Science, 2019
Cited by: 33 articles

Zhe PENG | Data Analytics | Best Researcher Award

Prof. Zhe PENG | Analytics | Best Researcher Award

Assistant Professor, The Hong Kong Polytechnic University, Hong Kong

Dr. Zhe Peng  is a dedicated Research Assistant Professor at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. With a strong background in computer science and engineering, he specializes in intelligent supply chains, AI for manufacturing, and blockchain technologies. His contributions to blockchain, federated learning, and decentralized identity systems have earned him global recognition. With extensive academic and industry experience, Dr. Peng has made a significant impact on cutting-edge technological advancements.

Publication Profile

🎓 Education

Dr. Peng holds a Ph.D. in Computer Science from The Hong Kong Polytechnic University (2018), under the supervision of Prof. Bin Xiao (IEEE Fellow). He earned his M.E. in Information and Communication Engineering from the University of Science and Technology of China (2013) and a B.E. in Communication Engineering from Northwestern Polytechnical University (2010). His academic journey reflects his deep expertise in computing, communication, and AI-driven systems.

💼 Experience

Dr. Peng has held multiple research and industry positions. He is currently a Research Assistant Professor at The Hong Kong Polytechnic University. Previously, he served as a Research Assistant Professor at Hong Kong Baptist University (2020-2023) and as an R&D Manager at the Blockchain and FinTech Lab. In the industry, he worked as the Blockchain Technical Director at SF Technology in Shenzhen (2018-2019). Additionally, he was a Visiting Scholar at Stony Brook University, USA, working under Distinguished Prof. Yuanyuan Yang (IEEE Fellow).

🏆 Awards and Honors

Dr. Peng has received several prestigious awards, including the World’s Top 2% Scientists by Stanford University (2024) and the Award for High SFQ Score at PolyU ISE (2024). He was recognized with an ESI Highly Cited Paper (2023) and received the DASFAA-MUST Best Paper Award (2021). His work was also nominated for THE Awards Asia – Technological or Digital Innovation of the Year (2021). His numerous accolades highlight his contributions to academia, research, and technological innovation.

🔬 Research Focus

Dr. Peng’s research revolves around intelligent supply chains, AI-driven manufacturing, blockchain applications, and autonomous systems. His work on verifiable decentralized identity management, privacy-aware federated learning, and blockchain security has set new benchmarks in these fields. He continues to explore innovative solutions to improve efficiency, transparency, and security in digital ecosystems.

🔚 Conclusion

Dr. Zhe Peng is a visionary researcher at the intersection of AI, blockchain, and smart logistics. His groundbreaking research, academic excellence, and industry experience make him a leading expert in his field. Through his contributions to intelligent systems, federated learning, and blockchain security, he continues to shape the future of technological innovation. 🚀

🔗 Publications 

Lightweight Multimodal Defect Detection at the Edge via Cross-Modal Distillation

VDID: Blockchain-Enabled Verifiable Decentralized Identity Management for Web 3.0 

SymmeProof: Compact Zero-Knowledge Argument for Blockchain Confidential Transactions 

The Impact of Life Cycle Assessment Database Selection on Embodied Carbon Estimation of Buildings 

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services

VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems 

VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems