Zhen Guo | Engineering | Best Researcher Award

Published on by China Scientist

Dr. Zhen Guo | Engineering | Best Researcher Award

Zhen Guo is a doctoral student at the School of Transportation and Logistics Engineering, Wuhan University of Technology. His research focuses on deep learning, fault diagnosis, and intelligent monitoring of rotating machinery. He specializes in anomaly detection, imbalance learning, few-shot learning, and transfer learning, applying these methods to improve reliability in robotics and mechanical systems. Zhen has served as a reviewer for several high-impact journals and conferences, reflecting his active engagement in the research community and his expertise in intelligent diagnostics and engineering applications.

Dr. Zhen Guo | Wuhan University of Technology | China

Profile

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Education

  • Zhen Guo is currently pursuing doctoral studies at Wuhan University of Technology in the School of Transportation and Logistics Engineering, where his research is focused on cutting-edge developments in intelligent systems and mechanical diagnostics. Prior to this, he completed his master’s studies at Zhengzhou University of Light Industry, laying a strong foundation in engineering and applied technologies. His academic path demonstrates a consistent focus on integrating deep learning with real-world engineering challenges.

Experience

  • Zhen has actively contributed to the academic community as a peer reviewer for several internationally recognized journals and conferences. His review work spans prestigious platforms such as Advanced Engineering Informatics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, ISA Transactions, Measurement, Measurement Science and Technology, Journal of Mechanical Science and Technology, Engineering Research Express, and Scientific Reports. His peer review contributions highlight his depth of knowledge and his commitment to advancing research quality in the fields of mechanical systems and artificial intelligence.

Awards and Recognition

  • Zhen’s selection as a reviewer for top-tier journals and conferences serves as a testament to his expertise and standing within the academic community. This level of involvement often reflects recognition by peers and editors for his technical insight and critical thinking.

Skills and Certifications

  • Zhen’s core competencies include deep learning, fault diagnosis, robotics, rotating machinery analysis, anomaly detection, and imbalance learning. He is particularly skilled in emerging machine learning paradigms such as few-shot learning and transfer learning. His research integrates these advanced techniques to solve complex problems related to industrial automation and intelligent monitoring.

Research Focus

  • Zhen Guo’s research centers on the intersection of artificial intelligence and mechanical engineering, with an emphasis on fault diagnosis and intelligent monitoring systems. He is especially interested in leveraging deep learning for detecting anomalies in rotating machinery, optimizing performance through imbalance learning, and developing robust solutions using few-shot and transfer learning approaches. His work contributes to building smarter, more reliable engineering systems in transportation and logistics.

Conclusion

  • Zhen Guo is an emerging researcher with a strong academic background and a growing presence in the international engineering research community. His blend of expertise in machine learning and mechanical systems positions him as a promising scholar dedicated to advancing intelligent diagnostics and automation. His contributions as a reviewer and researcher underscore his commitment to innovation and academic excellence.

Publications

  • Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
    Authors: Guo, Z.; Du, W.; Liu, Z.; Hu, T.; Yu, Y.; Li, C.
    Journal: Expert Systems with Applications

  • Squeeze-and-excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles
    Authors: Du, W.; Yu, X.; Guo, Z.; Wang, H.; Pu, Z.; Li, C.
    Journal: Journal of Field Robotics

  • Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network
    Authors: Chengguang Zhang; Zhen Guo; Chuan Li
    Journal: Scientific Reports

  • Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers
    Authors: Wenliao Du; Xinlong Yu; Zhen Guo; Hongchao Wang; Yiyuan Gao; Ziqiang Pu; Guanghua Li; Chuan Li
    Journal: Ocean Engineering

  • Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest
    Authors: Zhen Guo; Wenliao Du; Chuan Li; Xibin Guo; Zhiping Liu
    Journal: Measurement

Mr. Wenbo Han | Marine Engineering | Young Scientist Award | 1160

Published on by China Scientist

 

Mr. Wenbo Han | Marine Engineering | Best Researcher Award

Mr. Wenbo Han, Dalian Maritime University , China

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📚 Early Academic Pursuits

Wenbo Han embarked on his academic journey at Liaoning University of Technology, where he completed his bachelor’s and master’s degrees. His early education laid a strong foundation in engineering principles, which he later applied to his advanced studies and research. His academic performance during these formative years set the stage for his future endeavors in marine engineering and micro-nanofluidics.

💼 Professional Endeavors

Currently, Wenbo Han is a PhD student at Dalian Maritime University, focusing on marine engineering. His professional journey is marked by significant research in micro-nanofluidics and intelligent sensing technology. With a keen interest in these areas, he has published 16 academic papers as the first author in prestigious journals such as International Communications in Heat and Mass Transfer, Chemical Engineering and Processing – Process Intensification, and Journal of Marine Science and Engineering. His contributions have been recognized with one of his papers being selected as a highly cited paper by ESI and another as a hot paper by ESI.

🔬CONTRIBUTIONS AND RESEARCH FOCUS

  • Wenbo Han’s research is primarily centered on the mixing performance of bionic fractal baffle micromixers based on Murray’s law. He has deeply analyzed the influence of various fractal parameters on mixing performance and optimized these parameters to achieve a balance between mixing efficiency and pressure drop. This work has significantly improved the overall performance of micromixers, offering more efficient mixing solutions and providing new insights into micromixer design. His research not only enhances design efficiency but also enriches the theoretical framework of micromixers.

🌟Impact and Influence

  • Wenbo Han’s research has had a profound impact on the field of micro-nanofluidics and marine engineering. His optimization methods have provided innovative solutions for micromixer design, leading to improved performance and efficiency. His work has been widely recognized and cited, with a Google Scholar citation index of 459 and an h-index of 12, reflecting the significant influence of his research in the academic community.

 📖 ACADEMIC CITES

With 22 journals published in SCI and Scopus-indexed journals, Wenbo Han’s academic contributions are well-documented and respected. His role as a special reviewer for journals such as Applied Thermal Engineering, Physics of Fluids, and Chemical Engineering and Processing – Process Intensification further underscores his expertise and influence in his field.

🌍 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Wenbo Han is poised to continue his pioneering research in micro-nanofluidics and intelligent sensing technology. His contributions to marine engineering are expected to have long-lasting impacts, offering innovative solutions and advancing the field. As a student member of various prestigious societies, including the Chinese Society of Mechanics and the International Society of Bionic Engineering, he is well-positioned to influence future research and development in these areas.

📰PUBLICATIONS

    • A Perspective Review of Droplets and Bubbles Formation in Microfluidics
      • Authors: Han, W., Wang, X., Liu, Y., Li, W., Zhang, H.
      • Journal: Microgravity Science and Technology, 2024, 36(3), 35
    • Numerical Simulation Study of Bubble Breakup Mechanism in Microchannels with V-Shaped Obstacle
      • Authors: Han, W., Wang, X., Li, W., Liu, B., Zhang, H.
      • Journal: Chemical Engineering and Processing – Process Intensification, 2024, 200, 109791
    • A Critical Review of On-Line Oil Wear Debris Particle Detection Sensors
      • Authors: Han, W., Mu, X., Liu, Y., Bai, C., Zhang, H.
      • Journal: Journal of Marine Science and Engineering, 2023, 11(12), 2363
    • Numerical Study on the Effect of Carbon Particles on Flow Field Characteristics of Rotating Detonation Engine
      • Authors: Wang, Y., Chen, Y., Wu, W., Li, Y., Wang, J.
      • Journal: Aerospace Science and Technology, 2023, 142, 108585
    • Experimental Evaluation of Aluminum Powder Fuel in a Hydrogen/Oxygen Detonation Tube
      • Authors: Wu, W., Wang, Y., Wu, K., Wang, G., Zhang, M.
      • Journal: International Journal of Hydrogen Energy, 2023, 48(62), pp. 24089–24100