Prof. Wang Tianzhen | Fault Diagnosis Awards | Best Researcher Award

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Prof. Wang Tianzhen | Fault Diagnosis Awards | Best Researcher Award 

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.

Professional Profile:

ORCID

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

Achievements 📜

  • Published 100+ research papers
  • Secured 29 patents in China and the United States
  • Authored 6 books
  • Developed 5 national standards and 2 IEC standards

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

A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy

Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

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Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

Mr. Zhongzhi Li, Fudan University, China

Zhongzhi Li, is a male graduate student specializing in Aeronautics and Astronautics at Fudan University, where he maintains a GPA of 3.41/4.0, ranking 1st among 45 students. His academic journey began at Shenyang Aerospace University, where he earned a Bachelor’s degree in Computer Science and Technology, achieving an impressive GPA of 93/100 and ranking 1st out of 155. Zhongzhi has published three first-author papers in SCI-indexed journals and has applied for a patent, reflecting his research focus on time series analysis. He has received several scholarships, including the National Scholarship and the Zhang Mingwei Inspirational Scholarship. His practical experience includes internships as an AI Engineer Intern at Huawei Technologies, where he developed predictive models for cloud services, and as an Algorithm Intern at Gotion High-tech, where he created algorithms for battery fault prediction with high accuracy. Zhongzhi also served as a student assistant at Fudan University’s Party Building Service Center and currently leads the Graduate Student Union’s Practice Department. In addition to his academic pursuits, he is an avid sports enthusiast, enjoying basketball, volleyball, and running, and has participated in several marathons, including the 2022 Shanghai Half Marathon.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Zhongzhi Li

Academic Excellence and Research Experience: Zhongzhi Li demonstrates a strong academic foundation and expertise in both time series analysis and fault detection in various engineering applications. His achievements at Fudan University, where he ranks 1st out of 45 peers with a GPA of 3.41/4.0, along with his numerous scholarships (National Scholarship, Zhang Mingwei Inspirational Scholarship, etc.), reflect his academic dedication and capabilities. His undergraduate performance was equally impressive, ranking 1st out of 155 students at Shenyang Aerospace University.

Education

Fudan University
Master of Science in Aeronautics and Astronautics
Duration: September 2022 – June 2025

  • GPA: 3.41/4.0
  • Rank: 1/45
  • Scholarships: National Scholarship, Freshman Scholarship, Zhang Mingwei Inspirational Scholarship, Zhang Yongming Scholarship

Shenyang Aerospace University
Bachelor of Science in Computer Science and Technology
Duration: September 2018 – June 2022

  • GPA: 93/100
  • Rank: 1/155
  • Scholarships: National Scholarship, “Top Ten Figures of the Year” at SAU, Six Academic Excellence Scholarships, Enterprise Scholarships

Work Experience

Huawei Technologies Co., Ltd.
AI Engineer Intern, Huawei Cloud Algorithm Innovation Lab
Duration: July 2023 – August 2023

  • Analyzed current usage data on Huawei Cloud, visualizing trends in VM core counts and types using stacked area charts.
  • Developed a multimodal XAI predictive model for VM request sequence forecasting, integrating large-scale semantic information. Utilized an improved Transformer-based algorithm, achieving less than 10% prediction error on monthly and yearly scales.

Gotion High-tech Co., Ltd.
Algorithm Intern, Big Data Engineering Department
Duration: September 2022 – March 2023

  • Developed supervised and unsupervised algorithms for predicting thermal runaway faults in lithium and ternary lithium batteries, achieving detection accuracy above 95%.
  • Proposed an improved thermal runaway detection algorithm using Stacking, achieving nearly 100% accuracy, which was successfully deployed on Alibaba Cloud PAI.

Dongguan Securities Co., Ltd.
Research Intern, Quantitative Investment Department
Duration: May 2022 – August 2022

  • Managed FTP data downloads (30GB) using verification scripts to tackle large data volume and speed limits.
  • Conducted stock data preprocessing and historical data analysis with Python and C++. Practiced basic quantitative investment strategies, including dual moving average, multi-factor stock selection, Bollinger Bands, and PEG strategies.

Fudan University Party Building Service Center
Student Assistant
Duration: September 2022 – July 2023

Fudan University Department of Aeronautics and Astronautics
Head of Graduate Student Union Practice Department / Office Assistant
Duration: September 2023 – September 2024

Publication top Notes:

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