Ruiming Xie | Robotics | Best Researcher Award

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Dr. Ruiming Xie | Robotics | Best Researcher Award

Student at Nanjing University of Science and Technology | China

Ruiming Xie is a dedicated researcher in the field of control theory, with a strong focus on stochastic nonlinear systems. She holds a master’s degree from Shandong University, China, and is currently pursuing her doctoral studies at Nanjing University of Science and Technology. Her academic journey reflects a deep commitment to advancing theoretical and applied aspects of control systems, particularly in the context of uncertainty and complex dynamical environments. Through rigorous research and innovative approaches, she has contributed valuable insights that enhance the understanding and development of stochastic control methodologies. Ruiming Xie has authored and co-authored multiple research papers, with 11 published documents that have collectively received 121 citations from 104 sources, demonstrating the impact and recognition of her work within the scientific community. Her research contributions have appeared in highly respected international journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, the International Journal of Systems Science, and SCIENCE CHINA Information Sciences. She currently holds an h-index of 6, reflecting both the quality and influence of her scholarly output. Her work demonstrates a high level of analytical skill, mathematical precision, and a passion for solving intricate problems in system dynamics and automation. With her continuous pursuit of academic excellence, Ruiming Xie aims to expand the frontiers of control theory and its applications in real-world systems, fostering advancements that bridge the gap between theoretical models and practical engineering solutions. Her growing scholarly record underscores her potential as an emerging leader in control systems research, with a strong commitment to innovation, collaboration, and scientific progress.

Profile: Scopus

Featured Publications

Automatica. (2024). Erratum: Retraction notice to “Fixed-time Lyapunov criteria of stochastic nonlinear systems revisited and its applications” [Automatica 170 (2024) 111866]. Automatica, 170, S0005109824003601.

Xiaorui Yang | Robotics and Automation | Best Researcher Award

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Assoc. Prof. Dr. Xiaorui Yang | Robotics and Automation | Best Researcher Award

Hebei University of Science and Technology, China

Dr. Yang Xiaorui is an Associate Professor and Master’s Supervisor in the field of Electrical Engineering at Hebei University of Science and Technology. With a strong background in engineering electromagnetics and magnetic technology, Dr. Yang has significantly contributed to research on nano magnetic fluids, digital twin modeling, and their applications in energy harvesting, vibration damping, positioning systems, and biomedical engineering. She has authored multiple peer-reviewed papers in SCI and EI-indexed journals and has actively led and participated in several national and provincial research projects.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Electrical Engineering, Hebei University of Technology, 2018

Professional Experience 💼

  • Associate Professor, Hebei University of Science and Technology

  • Master’s Supervisor, Department of Electrical Engineering

  • Leading and participating in national and provincial scientific research projects focused on magnetic fluids and electromagnetic applications.

Research Interests 🔬

  • Engineering Electromagnetic Fields

  • Nano Magnetic Liquid Technology

  • Digital Twin Technology for Power Equipment

  • Energy Harvesting Technologies

  • Magnetic Fluid Applications in:

    • Friction-based power generation systems

    • Vibration damping and shock absorption

    • Precision positioning systems

    • Tumor hyperthermia treatments

    • Multi-physics field coupling and simulation modeling

Major Research Projects

  1. NSFC Youth Project (52307010) – Research on energy transfer in magnetic liquid friction-electromagnetic composite systems (2024–2026) – Project Leader

  2. Hebei Provincial NSF Youth Project (E2020208039) – Friction nano electromagnetic vibration energy harvesting using magnetic liquid (2020–2022) – Project Leader

  3. NSFC General Project (51877066) – Tuned liquid damping method using magnetic liquid for wind power towers (2019–2022) – Fourth participant

  4. Hebei Provincial NSF General Project (E2015202241) – Experimental research on magnetic liquid damping shock absorbers (2015–2017) – Third contributor

Awards and Honors🏆✨

  • Recipient of National Natural Science Foundation of China Youth Project Grant

  • Recipient of Hebei Provincial Natural Science Foundation Youth Project Grant

  • Recognized for significant contributions to multiphysics modeling and magnetic fluid applications in both academic and industrial settings.

Conclusion🌟

Dr. Yang Xiaorui is a dynamic and innovative researcher in the field of electrical engineering, particularly known for her pioneering work on nano magnetic fluids and electromagnetic energy systems. Her work bridges theoretical modeling, simulation, and experimental validation, pushing the boundaries of electromagnetic applications in sustainable energy, smart equipment, and medical technologies. With a growing number of high-impact publications and successful project leadership, she continues to advance cutting-edge research and mentor the next generation of engineers and scientists.

Publications 📚

  1. 🔋 “Output Characteristics of an Electromagnetic-Triboelectric Hybrid Energy Harvester Based on Magnetic Liquid”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Shao Jinlong, Zhang Yan, Chen Ying
    📰 ACS Applied Electronic Materials, 2023, 5(2): 775–783
    📌 Indexed in SCI ✅

  2. 🌊 “Effect of Magnetic Field on Output Performance of Magnetic Liquid Vibration Energy Harvester”
    👩‍🔬 Yang Xiaorui, Chen Ying, Zhang Yan, Yang Wenrong
    📰 COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2023, 42(1): 38–47
    📌 Indexed in SCI ✅

  3. ⚡ “Study on Mechanical-Electrical Coupling Mechanism of Magnetic Liquid Triboelectric-Electromagnetic Composite Energy Harvester”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Long Hui, An Guoqing, Yang Wenrong
    📰 Proceedings of the CSEE, 2024, 44(11): 4406–4417
    📌 Indexed in EI 📈

  4. 🎯 “A Tuned Triboelectric Nanogenerator Using a Magnetic Liquid for Low-Frequency Vibration Energy Harvesting”
    👩‍🔬 X. R. Yang, H. Zheng, H. B. Ren, et al.
    📰 Nanoscale, 2024, 16(4): 1915–1923
    📌 Indexed in SCI ✅

  5. 🛰️ “Analysis of Adjustable Magnetic Fluid Damper in DC Magnetic Field for Spacecraft Applications”
    👩‍🔬 Xiaorui Yang, Qingxin Yang, Wenrong Yang, Bing Guo, Lifei Chen
    📰 IEEE Transactions on Applied Superconductivity, 2018, 28(3): 0602305
    📌 Indexed in SCI ✅

  6. 🛠️ “Damping Analysis and Experimental Study of Piston-Type Magnetic Liquid Shock Absorber”
    👩‍🔬 Yang Xiaorui, Yang Qingxin, Guo Bing, Chen Lifei, Yang Wenrong
    📰 Journal of Instrumentation, 2017, 38(8): 2071–2077
    📌 Indexed in EI 📈

  7. 🧲 “Magnetic Field Design and Temperature Distribution Study of Magnetic Fluid Tumor Hyperthermia”
    👩‍🔬 Yang Xiaorui, Yang Wenrong, Yang Qingxin, Liu Dan
    📰 Functional Materials, 2017, 48(10): 10089–10093
    📌 Indexed in SCI ✅

 

 

 

Xiao Wang | Embodied Intelligence | Best Researcher Award

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Prof. Dr. Xiao Wang | Embodied Intelligence | Best Researcher Award

Professor at Anhui University, China

Xiao Wang, a Senior Member of IEEE, is a distinguished researcher and educator specializing in intelligent transportation and cognitive computing. She has made remarkable contributions through her leadership in the development of advanced technologies for autonomous systems. With her work cited extensively (h-index: 33) and recognition as one of the “Top 2% of the World’s Most Influential Scientists” for two consecutive years, Prof. Wang combines technical expertise and academic excellence. Her dedication to innovation continues to shape the future of intelligent transportation systems and autonomous vehicle technologies. 🌟📚🤖

Publication Profile : 

Scopus

Education 🎓

Xiao Wang earned her B.E. degree in Network Engineering from Dalian University of Technology in 2011. She later pursued advanced studies in Social Computing, obtaining both her M.E. and Ph.D. degrees from the University of Chinese Academy of Sciences in 2016.

Professional Experience💼

Prof. Xiao Wang is currently a Professor at the School of Artificial Intelligence, Anhui University, and serves as the Director of the Anhui Province Engineering Research Center for Unmanned Systems and Intelligent Technology. She has spearheaded over ten research and industry projects focusing on areas such as autonomous driving, multimodal data fusion, and traffic accident prediction, collaborating with leading institutions and companies. With a prolific academic career, Prof. Wang has published more than 40 high-impact SCI papers in the past five years and holds 22 granted invention patents. Her editorial roles include Associate Editor of the IEEE Intelligent Vehicles Symposium, Column Editor of IEEE Intelligent Systems Magazine, and other notable journal appointments. She is a Senior Member of IEEE, CAA, and a Board Member of the IEEE Intelligent Transportation Systems Society. 🌐📊🚗

Research Interests 🔬

Prof. Wang’s research interests span social computing, autonomous driving, group behavior modeling, knowledge automation, parallel intelligence, and DAO-based computational social systems.

Publications Top Notes 📚

  1. Wang, X., Wang, Y., Yang, J., …, Ding, W., Wang, F.-Y. (2024). “The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0.” Information Fusion, 107, 102321.
  2. Wang, X., Huang, J., Ni, Q., …, Stapleton, L., Wang, F.-Y. (2024). “Society 5.0: Metaverse Facilitated Human-centric 5H Services Across Cyber-Physical-Social Spaces.” IFAC-PapersOnLine, 58(3), 159–164.
  3. Wang, X., Huang, J., Yang, J., Wang, X., Wang, F.-Y. (2024). “Prescriptive Manufacturing in Society 5.0: Human Autonomous Organizations and on-Demand Smart Services.” IFAC-PapersOnLine, 58(3), 139–144.
  4. Cao, Y., Wang, Y., Wang, J., …, Wang, X., Wang, F.-Y. (2024). “Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems.” IEEE Transactions on Computational Social Systems, 11(3), 3978–3987.
  5. Xue, X., Yu, X., Zhou, D., …, Wang, S., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.” IEEE/CAA Journal of Automatica Sinica, 11(5), 1175–1189.
  6. Liang, X., Ding, W., Qin, R., …, Wang, X., Wang, F.-Y. (2024). “From cadCAD to casCAD2: A Mechanism Validation and Verification System for Decentralized Autonomous Organizations Based on Parallel Intelligence.” IEEE Transactions on Computational Social Systems, 11(2), 2853–2862.
  7. Xue, X., Yu, X., Zhou, D., …, Liu, D., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems – Part III: The Docking of Domain Models.” IEEE Transactions on Computational Social Systems, 11(2), 1766–1780.
  8. Wang, X., Zhang, X.-Y., Zhou, R., …, Chen, L., Sun, C.-Y. (2024). “An Intelligent Architecture for Cognitive Autonomous Driving Based on Parallel Testing.” Zidonghua Xuebao/Acta Automatica Sinica, 50(2), 356–371.
  9. Wang, X., Tang, K., Dai, X., …, Wang, Y., Gu, W. (2024). “S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.” IEEE Transactions on Intelligent Vehicles, 9(2), 3220–3231.
  10. Tian, Y., Zhang, X., Wang, X., …, Gu, W., Ding, W. (2024). “ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images.” IEEE Transactions on Intelligent Vehicles, 9(2), 3360–3371.