Zhen Guo | Engineering | Best Researcher Award

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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

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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

  • Zhenā€™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 Guoā€™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

Xianyun Liu | Engineering | Best Researcher Award

Published on by China Scientist

Assoc. Prof. Dr. Xianyun Liu | Engineering | Best Researcher Award

Xianyun Liu is an Associate Professor at the School of Microelectronics, Changzhou University, and a Master’s Supervisor specializing in semiconductor materials and devices. She holds a Ph.D. and serves as a director of the Jiangsu Provincial Physical Society and a review expert for the National Natural Science Foundation of China. She has received prestigious honors including the President’s Outstanding Award from the Chinese Academy of Sciences and fellowships from the Japan Society for the Promotion of Science. Her research has led to over 20 SCI/EI-indexed publications, one Nature Index paper, and the successful commercialization of a patented invention.

Assoc. Prof. Dr. Xianyun Liu | Changzhou University | China

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šŸŽ“Education

  • Xianyun Liu earned her Ph.D. in a discipline closely related to semiconductor materials and devices. Her advanced academic training equipped her with a deep understanding of microelectronics and solid-state physics. Her educational path laid the foundation for a career that blends rigorous scientific research with applied technological innovation.

šŸ‘Øā€šŸ« Experience

  • Currently serving as an Associate Professor at the School of Microelectronics, Changzhou University, Xianyun Liu also holds the role of Master’s Supervisor. She contributes actively to academic development and student mentorship in the field of semiconductor materials and devices. She has undertaken significant roles such as Director of the Jiangsu Provincial Physical Society and acts as a review expert for the National Natural Science Foundation of Chinaā€™s correspondence evaluation projects. Her international experience is further marked by her research fellowship in Japan, enhancing her global research perspective.

šŸ¤ Awards and Recognition

  • Xianyun Liu has received numerous prestigious recognitions throughout her career. She was awarded the First Prize of the Presidentā€™s Scholarship and the ā€œPresidentā€™s Outstanding Awardā€ by the Chinese Academy of Sciences, acknowledging her academic excellence. She was also a recipient of both the Japan Society for the Promotion of Science Fellowship and the JSPS Postdoctoral Research Fellowship. Her contributions to scientific research have earned her the Second Prize for Outstanding Scientific and Technological Papers in Natural Sciences in Changzhou and facilitated the successful commercialization of a patented invention.

šŸ’”Skills and Certifications

  • Xianyun Liu specializes in the development and characterization of semiconductor materials and devices. Her core competencies include advanced research in microelectronic systems, applied physics, and materials science. She is also experienced in guiding postgraduate research, peer review of scientific proposals, and managing funded scientific projects. Her technical strengths are complemented by her strategic thinking in project execution and technology transfer.

šŸ”¬ Research Focus

  • Her primary research focuses on semiconductor materials and devices. She explores novel material properties, electronic structure analysis, and device fabrication techniques that enhance performance and reliability in microelectronic applications. Her work supports the development of cutting-edge technologies in fields such as integrated circuits and optoelectronics.

šŸŒŽConclusion

  • Xianyun Liu is a highly accomplished researcher and educator whose career reflects a strong commitment to scientific advancement in the field of semiconductors. Her blend of academic excellence, leadership in scientific societies, international collaboration, and practical innovation underlines her impact in both academic and industrial spheres. Her contributions continue to inspire progress in microelectronics and related disciplines.

šŸ“–Publications

  • Modeling and Simulation of High-Sensitivity Silicon-Graphene TFET for Label-Free Biosensors
    Authors: Liu, X.; Lu, C.; Yao, J.; Yang, D.; Yuan, W.
    Journal: ECS Journal of Solid State Science and Technology

  • Simulation and Optimization of Enhanced Back-Gated GaN-Based HEMT Ultraviolet Photodetector with a High Photo-to-Dark Current Ratio
    Authors: Yuan, W.; Liu, X.; Yang, D.; Yao, J.; Lu, C.
    Journal: AIP Advances

  • Design and Numerical Simulation of Capacitive Pressure Sensor Based on Silicon Carbide
    Authors: Zhou, Q.; Liu, X.; Luo, S.; Jiang, X.; Yang, D.; Yuan, W.
    Journal: IEEE Sensors Journal

  • Effect of Sourceā€“Drain Opposite Side Gate on the AlGaN/GaN High Electron Mobility Transistor Devices
    Authors: Luo, S.; Liu, X.; Jiang, X.
    Journal: Physica Status Solidi A: Applications and Materials Science

  • Study on the Point-Contact Gate AlGaN/GaN High Electron Mobility Transistor with 0.1 Ī¼m Gate Length
    Authors: Luo, S.; Liu, X.; Jiang, X.
    Journal: Physica Status Solidi A: Applications and Materials Science