Dr. Yuyin Ma | Industrial Internet Awards | Best Innovation Award

Dr. Yuyin Ma, Beijing Jiaotong University, China

Ma Yuyin is a dedicated Ph.D. candidate in Information and Communication Engineering at Beijing Jiaotong University, with an anticipated graduation date in July 2025. Shandong Province, he has a strong academic foundation, having completed his undergraduate studies in Software Engineering at China University of Petroleum (Beijing). As a member of the Communist Party of China, he actively engages in innovative projects for graduate students at central universities, contributing significantly to national key R&D plans and major natural projects. Notably, he led a team in a National Nature Focus project that developed a new industrial internet architecture, demonstrating his expertise in designing collaborative clustering methods and optimizing network resource management through digital twin technology. With a robust programming background, he has produced substantial contributions to research, including over 2,000 lines of Python code and extensive data analysis. Ma possesses strong self-motivation and execution abilities, solid writing skills, and effective communication and coordination capabilities, making him a valuable asset in the fields of computer networking, technology, and scientific research.

Professional Profile:

SCOPUS

Suitability for the Research for Best Innovation Award: Ma Yuyin

Ma Yuyin demonstrates exceptional qualifications for the Research for Best Innovation Award through his extensive academic and project experience in information and communication engineering. His educational journey at Beijing Jiaotong University, where he is pursuing a Doctorate in Electronic Information Engineering, and his foundational studies in Software Engineering at the China University of Petroleum (Beijing), showcase a strong technical background essential for innovative research.

🎓 Education

Beijing Jiaotong University
Doctor of Information and Communication Engineering
September 2020 – July 2025
China University of Petroleum (Beijing)
Undergraduate Course in Software Engineering
September 2016 – June 2020

💼 Work Experience

Project Leader
In charge of innovative projects for graduate students at central universities
– Successfully completed major national projects with a funding of 15 million yuan, collaborating with Academician Zhang Hongke as the project leader.
– Led national key R&D plans and major natural projects under the supervision of a tutor.
– Developed a new industrial Internet architecture with controllable performance across multiple scenarios.

🌟 Achievements

National Nature Focus – No: 62072030
- Developed a new industrial Internet architecture for various applications, contributing approximately 2,000 lines of Python code and collecting nearly 160,000 pieces of data.
Research Contributions
- Designed a collaborative clustering method for heterogeneous terminals to ensure low power consumption and reliable data transmission.
- Proposed an intelligent collaborative clustering method that outperformed competitors in over 10,000 experiments.
Privacy and Security Research
- Developed an adaptation mapping simulation platform to identify security vulnerabilities in service response time, implementing a multi-node confusion mechanism.

🏆 Awards and Honors

Excellent Completion Award
- For leading innovative projects with outstanding results.
Recognition for Contributions to National Key R&D Plans
- Acknowledged for significant contributions to the field of digital twins and resource optimization in network management.

Publication Top Notes:

ScaIR: Scalable Intelligent Routing based on Distributed Graph Reinforcement Learning

Adaptive Service Provisioning for Dynamic Resource Allocation in Network Digital Twin

Smart Collaborative Evolvement for Virtual Group Creation in Customized Industrial IoT

Exploring Reliable Decentralized Networks with Smart Collaborative Theory

Security Association Model: Interdisciplinary Application of 5G Positioning Technology and Social Network

Smart Collaborative Contract for Endogenous Access Control in Massive Machine Communications

Prof. Wang Tianzhen, Shanghai maritime University, China

Dr. Tianzhen Wang is a prominent full professor at Shanghai Maritime University and a Research Affiliate and Doctoral Supervisor at the Institute de Recherche Dupuy de Lôme (IRDL) in France. Her research focuses on the control and fault diagnosis of marine energy generation systems, contributing significantly to advancements in this critical field. An IEEE Senior Member, she actively participates in several professional committees, including the IEEE Energy Storage Technology Committee and the National Ocean Energy Conversion Equipment Standardization Technical Committee. With over 100 published papers, 29 patents in China and the United States, six books, five national standards, and two IEC standards to her credit, Dr. Wang is a leading figure in her area of expertise, recognized with the prestigious IEC 1906 Award. She has served as a guest editor for several journals, including the Journal of Marine Science and Engineering and Energies, focusing on technologies related to marine energy. Her commitment to the field extends to organizing major conferences, such as the Marine Energy Summit in China and multiple sessions for the IECON series of international conferences. Additionally, she has played a key role in promoting women in engineering through workshops and conferences. Dr. Wang’s impressive career trajectory includes roles as a lecturer, post-doctoral researcher, and associate professor at Shanghai Maritime University, where she has been since 2006, culminating in her current position as a full professor since July 2016.

Summary of Suitability for Best Researcher Award: Dr. Tianzhen Wang

Dr. Tianzhen Wang is a highly qualified candidate for the Best Researcher Award due to her extensive contributions to the field of marine energy generation and control systems. As a full professor at Shanghai Maritime University and a research affiliate at the Institut de Recherche Dupuy de Lôme (IRDL) in France, she has demonstrated exceptional leadership and innovation in her research.

Education and Work Experience 🎓

2006-2007: Lecturer, Department of Electrical and Automation, Shanghai Maritime University

2007-2008: Post-Doctoral Researcher, Naval Academy Research Institute of France

2008-2009: Lecturer, Department of Electrical and Automation, Shanghai Maritime University

2009-2016: Associate Professor, Department of Electrical and Automation, Shanghai Maritime University

2016.6-Present: Research Affiliate and Doctoral Supervisor, Institut de Recherche Dupuy de Lôme (IRDL), France

2016.7-Present: Full Professor and Doctoral Supervisor, Department of Electrical and Automation, Shanghai Maritime University

Awards and Honors 🏆

IEC 1906 Award

IEEE Senior Member

Committee Member of the IEEE Energy Storage Technology Committee

Committee Member of the National Ocean Energy Conversion Equipment Standardization Technical Committee

Committee Member of the CAA Fault Diagnosis and Safety of Technical Process Specialized Committee

Convener of IEC/TC114 Advisory Group 2

Publication Top Notes

A confidence-guided DS fault diagnosis method for tidal stream turbines blade

Sparrow search algorithm-optimized variational mode decomposition-based multiscale convolutional network for cavitation diagnosis of hydro turbines

A radius and minimum velocity Jensen model for far wake distribution prediction of tidal stream turbine

LAW-IFF Net: A semantic segmentation method for recognition of marine current turbine blade attachments under blurry edges