Prof. Liying Sun | Control Theory Application | Best Researcher Award

Prof. Liying Sun | Control Theory Application | Best Researcher Award

Prof. Liying Sun | Professor | Shanghai Dianji University | China

Dr. Liying Sun is a distinguished professor at Shanghai Dianji University with extensive expertise in control theory, particularly in nonlinear descriptor systems and Hamiltonian systems. Her research explores advanced mathematical and engineering control methodologies, including finite-time control, adaptive control, and stability analysis of nonlinear and singular Hamiltonian systems. She has made significant contributions to the theoretical development and practical implementation of robust control mechanisms that enhance system performance under uncertainty and external disturbances. Dr. Sun’s work is characterized by the integration of mathematical rigor with engineering applications, contributing to both theoretical advancements and real-world system optimization. Her research has been widely recognized and published in reputable international journals, reflecting her strong academic influence in the fields of automation, control science, and applied mathematics. According to Scopus, she has authored 66 documents, received 578 citations from 432 documents, and holds an h-index of 15, underscoring her impactful contributions to scientific research. Her publications are also well-cited on Google Scholar, confirming her broad recognition in the global academic community.

Publication Profile

Scopus

Featured Publications

  • He, S., Sun, L., & Yang, R. (2025). Finite-time H∞ control of doubly fed induction generator. Asian Journal of Control.

  • He, S., Sun, L., & Yang, R. (2025). Passive control of a set of nonlinear singular Hamiltonian systems. Journal of the Franklin Institute.

  • He, S., Sun, L., & Yang, R. (2025). Adaptive H∞ finite-time boundedness control for a set of nonlinear singular Hamiltonian systems. Control Theory and Technology.

  • Zhang, Z., Sun, L., & Yang, R. (2025). Input-output finite-time stabilization for a class of nonlinear descriptor Hamiltonian systems with actuator saturation. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering.

  • Zhang, Z., & Sun, L. (2025). Input-output finite-time adaptive control of nonlinear descriptor Hamiltonian systems. Fourth International Conference on Advanced Manufacturing.

 

Jinwei Bu | Engineering | Best Researcher Award

Dr. Jinwei Bu | Engineering | Best Researcher Award

Master Supervisor, Kunming University of Science and Technology, China

👨‍🏫  Dr. Jinwei Bu, a dedicated researcher and member of IEEE, is currently a Master Supervisor at the Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China. With a robust academic and research background, Dr. Bu has significantly contributed to the fields of geodesy and surveying engineering through his extensive publications and active involvement in the scientific community.

Profile

Google Scholar

 

Strengths for the Award

  1. Strong Academic Background: Jinwei Bu has a solid educational foundation in surveying and mapping engineering, geodesy, and surveying engineering, which are crucial for research impacting communities through environmental and spatial informatics.
  2. Extensive Research Experience: With over 50 refereed journal articles authored or coauthored, Dr. Bu has made significant contributions to his field. His publications indicate a robust research portfolio.
  3. International Collaboration: His experience as a Visiting Ph.D. Student at the Universitat Politècnica de Catalunya (UPC) in Spain highlights his international research exposure and collaboration.
  4. Leadership in Academia: Currently serving as a Master Supervisor at Kunming University of Science and Technology, Dr. Bu is in a position to mentor the next generation of researchers, amplifying his impact on the community.
  5. Reviewer for Prestigious Journals: Serving as a reviewer for over 10 international journals underscores his expertise and recognition in the academic community.
  6. Research Interests with Community Impact: His focus on Global Navigation Satellite Systems (GNSS) reflectometry, atmospheric remote sensing, precision positioning, and machine/deep learning has direct applications in improving navigation, environmental monitoring, and disaster management, all of which have significant community impacts.

Areas for Improvement

  1. Direct Community Engagement: While his research has potential community impact, there could be more direct evidence of engagement with community projects or initiatives that translate his research into tangible community benefits.
  2. Interdisciplinary Collaborations: Increasing collaborations with experts from other fields such as public health, urban planning, and environmental science could broaden the application of his research and enhance its community impact.
  3. Public Outreach and Education: Engaging in more public outreach, workshops, and educational programs to disseminate his research findings to a broader audience, including policymakers and community leaders, could increase the practical application and visibility of his work.

🎓 Education:

Dr. Jinwei Bu received his B.S. degree in Surveying and Mapping Engineering (2016) and his M.S. degree in Geodesy and Surveying Engineering (2018) from Kunming University of Science and Technology, Kunming, China. He earned his Ph.D. degree in Geodesy and Surveying Engineering from the School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China, in 2022.

💼 Experience:

Dr. Bu has held various academic positions, including a Visiting Ph.D. Student role at the Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, from November 2021 to November 2022. Currently, he is serving as a Master Supervisor with the Faculty of Land Resource Engineering at Kunming University of Science and Technology. He has authored or coauthored over 50 refereed journal articles and serves as a reviewer for more than 10 international journals.

🔬 Research Interests:

Dr. Jinwei Bu’s research interests include Global Navigation Satellite Systems (GNSS) reflectometry, GNSS atmospheric remote sensing, GNSS precision positioning, and the application of machine/deep learning techniques in these areas. He is particularly focused on developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms.

🏆 Awards:

Dr. Bu’s excellence in research and contributions to the field have earned him recognition and accolades within the scientific community, underscoring his commitment and impact in geodesy and surveying engineering.

Publications

  1. An indoor Wi-Fi localization algorithm using ranging model constructed with transformed RSSI and BP neural network – IEEE Transactions on Communications, 2022. Cited by: 29
    • Prompt: An innovative approach to indoor Wi-Fi localization using RSSI and neural networks.
  2. Developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms – Remote Sensing, 2020. Cited by: 25
    • Prompt: Breakthrough in sea surface wind speed estimation using GNSS-R technology.
  3. Multi-classification of UWB signal propagation channels based on one-dimensional wavelet packet analysis and CNN – IEEE Transactions on Vehicular Technology, 2022. Cited by: 23
    • Prompt: Cutting-edge multi-classification of UWB signals utilizing wavelet analysis and CNN.
  4. Performance assessment of positioning based on multi-frequency multi-GNSS observations: signal quality, PPP, and baseline solution – IEEE Access, 2020. Cited by: 20
    • Prompt: Comprehensive evaluation of multi-GNSS positioning performance and solutions.
  5. Sea surface rainfall detection and intensity retrieval based on GNSS-reflectometry data from the CYGNSS mission – Publication details pending.
    • Prompt: Novel methodology for sea surface rainfall detection and intensity estimation using GNSS-reflectometry.