Dr. Tianyu Zhang | Digital operations | Best Researcher Award
PhD student at Beijing Institute of Technology, China
Dr. Tianyu Zhang is a Ph.D. candidate in Management Science and Engineering at the Beijing Institute of Technology (BIT), China. He holds a Double Bachelorβs Degree in Economics from Peking University and a Bachelorβs Degree in Opto-Electronics Information Science and Engineering from BIT. His research focuses on blockchain adoption, supply chain finance, innovation diffusion, and decision-making models. He has published in high-impact journals like Omega and Journal of Business Research. A recipient of multiple First-Class Academic Scholarships , Dr. Zhang is skilled in agent-based modeling, data visualization, and analytical modeling.
Publication Profile
Educational Background 
Dr. Tianyu Zhang is currently pursuing a Ph.D. in Management Science and Engineering at the Beijing Institute of Technology (BIT), China . He previously earned a Double Bachelorβs Degree in Economics from Peking University (2014-2017) . Additionally, he holds a Bachelorβs Degree in Opto-Electronics Information Science and Engineering from BIT (2013-2017) . His diverse academic background integrates engineering, economics, and management, providing a strong foundation for his research in blockchain technology, supply chain finance, and innovation diffusion. Through his interdisciplinary expertise, Dr. Zhang contributes significantly to advancing data-driven decision-making and financial technologies.
Research Experience 
Since 2019, Dr. Tianyu Zhang has been a principal member of a prestigious research project funded by the National Natural Science Foundation of China (NSFC) . His work focuses on developing a risk alert mechanism for the synergistic operation of the P2P lending system (Project Ref. No. 71873015). This research aims to enhance financial stability and risk management strategies in the rapidly evolving digital finance sector. By leveraging advanced analytical models and data-driven approaches, Dr. Zhang contributes to shaping a more secure and efficient financial ecosystem in China.
Honors & Awards 
Dr. Tianyu Zhang has received multiple prestigious academic honors for his outstanding achievements . In 2020, he was recognized as an Outstanding Student at Beijing Institute of Technology (BIT) 
. He has also been awarded the First-Class Academic Scholarship multiple times, including in 2018, 2017, and consecutively from 2014 to 2016. In 2017, he was honored as an Excellent Graduate Student of BIT, reflecting his dedication to academic excellence and research innovation . These accolades highlight his exceptional performance, intellectual rigor, and commitment to advancing knowledge in his field.
Research Interests 
Dr. Tianyu Zhangβs research focuses on emerging technologies and decision sciences . His expertise includes blockchain and supply chain finance , where he explores financial innovations and risk management. He is also passionate about innovation diffusion , studying how new technologies spread in competitive markets. His work in agent-based modeling helps simulate complex systems, while his proficiency in multiple case study analysis enhances strategic decision-making. Additionally, he specializes in multiple-criteria decision making , developing frameworks for optimal choices in uncertain environments. His research contributes to advancing business strategies and technological innovations.
Publications 
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The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members
Year: 2023 -
Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model
Year: 2022 -
Innovation adoption of blockchain technology in supply chain finance
Year: 2022 -
A group consensus reaching model balancing individual satisfaction and group fairness for distributed linguistic preference relations
Year: 2024 -
Differential game theoretic analysis of the blockchain technology investment and carbon reduction strategy in digital supply chain with government intervention
Year: 2024 -
The contagion mechanism and governance strategy of corporate social irresponsibility of Chinese food companies
Year: 2024 -
A novel multi-attribute decision-making framework based on Z-RIM: an illustrative example of cloud service selection
Year: 2020