Xianyun Liu | Engineering | Best Researcher Award

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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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🎓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.

👨‍🏫 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 China’s correspondence evaluation projects. Her international experience is further marked by her research fellowship in Japan, enhancing her global research perspective.

🤝 Awards and Recognition

  • Xianyun Liu has received numerous prestigious recognitions throughout her career. She was awarded the First Prize of the President’s Scholarship and the “President’s Outstanding Award” 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.

💡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.

🔬 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.

🌎Conclusion

  • 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.

📖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 Source–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 μm Gate Length
    Authors: Luo, S.; Liu, X.; Jiang, X.
    Journal: Physica Status Solidi A: Applications and Materials Science

Dr. shuwei shen | Biomedical engineering | Best Researcher Award | 1176

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Dr. shuwei shen | Biomedical engineering | Best Researcher Award

Dr. shuwei shen , University of Science and Technology of China, China

Extensive Research Experience

His focus on the standardization of medical devices and intelligent diagnosis using deep learning demonstrates a significant impact in the medical and technological fields.

Innovative Contributions

With over 30 papers in prestigious journals and more than 20 patents, his work reflects high-level innovation and contributions to the field.

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📚 Early Academic Pursuits

Dr. Shuwei Shen earned his Ph.D. from the University of Science and Technology of China in 2019. During his doctoral studies, he developed a strong foundation in medical device standardization and intelligent diagnosis and treatment methods, focusing on the application of deep learning techniques.

💼 Professional Endeavors

From 2019 to 2021, Dr. Shen conducted postdoctoral research at the First Affiliated Hospital of the University of Science and Technology of China. This postdoctoral tenure allowed him to delve deeper into the practical applications of his research, bridging the gap between theoretical studies and real-world medical challenges. Since 2021, he has been serving as an Associate Researcher at the Suzhou Institute for Advanced Research, University of Science and Technology of China.

🔬CONTRIBUTIONS AND RESEARCH FOCUS

  • Dr. Shen’s research primarily focuses on the standardization of medical devices using tissue phantoms and the development of intelligent diagnosis and treatment systems through deep learning. His completed and ongoing research projects include the development of intelligent diagnostic systems for skin diseases and the creation of a research and preparation system for tissue oxygenation biomimetic models.

🌟Impact and Influence

  • Dr. Shen has made significant contributions to the field of medical devices and intelligent diagnosis. He has published over 30 papers in prestigious journals, such as IEEE Transactions on Medical Imaging, Biomedical Optics Express, Chemical Engineering Journal, and IEEE Journal of Biomedical and Health Informatics. His work has been widely recognized and cited, contributing to his citation index of 10 (h-index). Additionally, he has applied for more than 20 patents, reflecting the innovative nature of his research.

📖 ACADEMIC CITES

Dr. Shen’s extensive publication record includes 278 articles indexed in Scopus, showcasing the breadth and depth of his research. His prolific output highlights his dedication to advancing the fields of tissue phantoms, 3D printing, intelligent diagnosis and treatment, and advanced drug delivery systems.

🌍 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Shen aims to continue pushing the boundaries of medical device innovation and intelligent diagnostic systems. His ongoing research and future projects are expected to further enhance the standardization and effectiveness of medical treatments, improving patient outcomes and advancing the field of medical technology.

📰PUBLICATIONS

  • Single model deep learning on imbalanced small datasets for skin lesion classification
    • Authors: P. Yao, S. Shen, M. Xu, P. Liu, F. Zhang, J. Xing, P. Shao, B. Kaffenberger, …
    • Journal: IEEE Transactions on Medical Imaging
  • A low-cost high-performance data augmentation for deep learning-based skin lesion classification
    • Authors: S. Shen, M. Xu, F. Zhang, P. Shao, H. Liu, L. Xu, C. Zhang, P. Liu, P. Yao, …
    • Journal: BME Frontiers
  • A single model deep learning approach for Alzheimer’s disease diagnosis
    • Authors: F. Zhang, B. Pan, P. Shao, P. Liu, S. Shen, P. Yao, RX Xu, …
    • Journal: Neuroscience
  • Freeform fabrication of tissue-simulating phantom for potential use of surgical planning in conjoined twins separation surgery
    • Authors: S. Shen, H. Wang, Y. Xue, L. Yuan, X. Zhou, Z. Zhao, E. Dong, B. Liu, W. Liu, …
    • Journal: Scientific Reports
  • Fabrication of a multilayer tissue-mimicking phantom with tunable optical properties to simulate vascular oxygenation and perfusion for optical imaging technology
    • Authors: G. Liu, K. Huang, Q. Jia, S. Liu, S. Shen, J. Li, E. Dong, P. Lemaillet, DW Allen, …
    • Journal: Applied Optics