Hosu Lee | Intelligent Robotics | Best Researcher Award

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Prof. Dr. Hosu Lee | Intelligent Robotics | Best Researcher Award

Assistant Professor at Gyeongsang National University | South Korea

Dr. Hosu Lee is a robotics researcher specializing in dynamics, vibration, and intelligent rehabilitation systems, with a strong background in mechatronics, medical robotics, and human–robot interaction. His research focuses on the design, development, and evaluation of advanced robotic platforms that support physical rehabilitation, integrating haptic interfaces, AI-driven control algorithms, and biomechanical modeling. He has contributed to the creation of multiple rehabilitation robots, including omnidirectional treadmill systems, upper-body and trunk rehabilitation platforms, and lower-limb gait devices based on innovative mechanical architectures. His work bridges engineering and clinical neuroscience through extensive experimentation with both healthy users and rehabilitation patients in collaboration with leading medical and engineering institutes. Dr. Lee’s research portfolio includes the development of intelligent robotic systems capable of delivering personalized therapy through adaptive control, sensor fusion, and real-time kinematic and kinetic feedback. His ongoing work integrates artificial intelligence to enhance motion prediction, user intention estimation, and therapy outcome optimization within rehabilitation robotics. He has participated in several national and international research collaborations with multidisciplinary teams spanning rehabilitation engineering, clinical medicine, and robotic system design. His contributions have resulted in peer-reviewed journal and conference publications as well as registered patents in the field of medical robotics. Through his experience in designing novel robotic mechanisms, leading experimental validation studies, and contributing to collaborative innovation environments, Dr. Lee continues to advance next-generation rehabilitation robotics aimed at improving patient recovery and functional mobility.

Profile: Orcid

Featured Publications

1. Nam, K., Lee, J. Y., Park, S. H., Hwang, H. W., Lee, H.-S., Oh, K., Hong, H. S., Kim, K., Park, J. H., Hong, S. W., et al. (2025). Prevalence and risk factors of gallstone disease in Korean patients with ulcerative colitis. Intestinal Research.

2. Lee, H.-S., Lee, Y., Baek, J., Kim, Y., Park, S., Jung, S., Lee, J. G., Baek, I.-J., Kim, K., Hwang, S. W., et al. (2025). Nonlesional ileal transcriptome in Crohn’s disease reveals alterations in immune response and metabolic pathway. Journal of Gastroenterology and Hepatology.

3. Park, J. E., Oh, J. Y., Park, D. H., Lee, H.-S., Yoon, S., Kim, N., Park, S. Y., Song, S. W., Kim, Y.-H., Hong, C.-K., et al. (2025). Mapping tumor habitats in isocitrate dehydrogenase–wild type glioblastoma: Integrating MRI, pathologic, and RNA data from the Ivy Glioblastoma Atlas Project. Neuro-Oncology.

4. Khrom, M., Li, D., Naito, T., Lee, H.-S., Botwin, G. J., Potdar, A. A., Boucher, G., Yang, S., Mengesha, E., Dube, S., et al. (2023). Sex-dimorphic analyses identify novel and sex-specific genetic associations in inflammatory bowel disease. Inflammatory Bowel Diseases.

5. Kim, K., Hwang, S. W., Lee, J. L., Lee, H.-S., Ye, B. D., Yoon, Y. S., Park, S. H., Yang, S.-K., Baek, J., Kim, Y., et al. (2023). Transcriptomic profiling and cellular composition of creeping fat in Crohn’s disease. Journal of Crohn’s and Colitis.

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 ✅

 

 

 

Dong Liu | Data Driven Control | Best Researcher Award

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Prof. Dong Liu | Data Driven Control | Best Researcher Award

Deputy Director of Provincial Key Laboratory at Shenyang Aerospace University, China

Dong Liu is an Associate Professor at the College of Automation, Shenyang Aerospace University, China. He is a leading researcher in the field of control theory and engineering, especially recognized for his work on data-driven control, model-free adaptive control, and secure control systems. He plays active roles in various national technical committees related to automation, command and control, and artificial intelligence.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Control Theory and Control Engineering,
    Northeastern University, China — 2018

Professional Experience 💼

  • Associate Professor,
    College of Automation, Shenyang Aerospace University

  • Deputy Director,
    Liaoning Provincial Key Laboratory of Advanced Flight Control and Simulation Technology

  • Recognized as a High-Level Talent by Shenyang Municipality

Committee Roles:

  • Committee Member, Technical Committee on Data-Driven Control, Learning, and Optimization (Chinese Association of Automation)

  • Committee Member, Technical Committee on Intelligent Control and Systems (Chinese Command and Control Association)

  • Committee Member, Technical Committee on Intelligent Detection and Motion Control Technology (Chinese Association for Artificial Intelligence)

Research Interests 🔬

  • Data-Driven Control

  • Model-Free Adaptive Control (MFAC)

  • Secure Control Systems

  • Sliding Mode Control

  • Cyber-Physical Systems

  • Prescribed Performance Control

  • Aerospace Control Applications

  • Event-Triggered and Reinforcement Learning-based Control

Awards and Honors🏆✨

  • Recognized as High-Level Talent by the Shenyang Municipality

  • Appointed Deputy Director of a Provincial Key Laboratory

  • Holds Multiple Technical Committee Memberships in prestigious national associations

Conclusion🌟

Dr. Dong Liu is an influential scholar in control engineering, especially in data-driven and model-free adaptive control systems with an emphasis on robustness, security, and real-time applications in aerospace and cyber-physical systems. His high-impact journal publications and leadership roles in national technical committees underline his strong academic and technical contributions. He is actively shaping the future of intelligent control in China and internationally.

Publications 📚

📘 Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks
✍️ Yijie Yang, Dong Liu, Xin Wang, Zhujun Wang
🗞️ Journal of Process Control, June 2025
🔗 DOI: 10.1016/j.jprocont.2025.103422

📘 Prescribed performance based data-driven adaptive sliding mode control for discrete-time nonlinear systems
✍️ Dong Liu, Yi-Jie Yang, Li-Ying Hao
🗞️ Journal of the Franklin Institute, March 2024
🔗 DOI: 10.1016/j.jfranklin.2024.01.021

📘 Data-Driven Bipartite Consensus Tracking for Nonlinear Multiagent Systems With Prescribed Performance
✍️ Dong Liu, Zhi-Peng Zhou, Tie-Shan Li
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2023
🔗 DOI: 10.1109/TSMC.2022.3230504

📘 Event‐triggered model‐free adaptive control for nonlinear systems with output saturation
✍️ Dong Liu, Ning Liu, Tieshan Li
🗞️ Int. Journal of Robust and Nonlinear Control, August 2023
🔗 DOI: 10.1002/rnc.6747

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, December 2019
🔗 DOI: 10.1109/TSMC.2017.2779564

📘 Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Neural Networks and Learning Systems, July 2019
🔗 DOI: 10.1109/TNNLS.2018.2881205

📘 Model-Free Adaptive Control Design for Nonlinear Discrete-time Processes with Reinforcement Learning Techniques
✍️ Dong Liu
🗞️ International Journal of Systems Science, July 2018
🔗 [Link not provided]

📘 Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes
✍️ Dong Liu
🗞️ Journal of Process Control, June 2018
🔗 [Link not provided]

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, November 2017
🔗 [Link not provided]

📘 Event-based model-free adaptive control for discrete-time non-linear processes
✍️ Dong Liu
🗞️ IET Control Theory & Applications, September 2017
🔗 [Link not provided]

📘 Neural network-based event-triggered MFAC for nonlinear discrete-time processes
✍️ Dong Liu
🗞️ Neurocomputing, July 2017
🔗 [Link not provided]

Xiong Qiu | Visual Navigation | Best Researcher Award

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Dr. Xiong Qiu | Visual Navigation | Best Researcher Award

PhD student at Xi’an Research Institute of High-Tech, Xi’an, China

Xiong Qiu is a Ph.D. student at the Xi’an Research Institute of High-Tech, located in Xi’an, China. He is a dedicated researcher focusing on cutting-edge technologies in Simultaneous Localization and Mapping (SLAM), Convolutional Neural Networks (CNNs), and visual navigation for Unmanned Aerial Vehicles (UAVs). His contributions span impactful academic publications and innovative patented technologies in the field of UAV visual geo-localization.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. (Ongoing): Xi’an Research Institute of High-Tech, Xi’an, China

Professional Experience 💼

  • Current Role: Ph.D. student at Xi’an Research Institute of High-Tech.
  • Actively contributing to the development of advanced methodologies in UAV visual navigation, focusing on high-precision localization techniques.

Research Interests 🔬

  1. Simultaneous Localization and Mapping (SLAM)
  2. Convolutional Neural Networks (CNNs)
  3. Visual Navigation for Unmanned Aerial Vehicles (UAVs)

Conclusion🌟

Xiong Qiu has made significant strides in the domain of UAV technologies, specifically in visual navigation and geo-localization systems. Through his academic research and patents, he has contributed to the development of practical and high-precision methodologies that enhance UAV functionality, even in GPS-deprived environments. His focus on innovative technologies like SLAM and CNNs positions him as a promising researcher in his field.

Publications 📚

  1. High-precision visual geo-localization of UAV based on hierarchical localization
    🖋 Qiu, X., Liao, S., Yang, D., Li, Y., Wang, S.
    📖 Expert Systems with Applications (2025), 267, 126064
    🔗 Citations: 0

  2. Image moment extraction-based aerial photo selection for UAV high-precision geolocation without GPS
    🖋 Qiu, X., Yang, D., Liao, S., Wang, S., Li, Y.
    📖 Measurement: Journal of the International Measurement Confederation (2024), 226, 114141
    🔗 Citations: 2

  3. Modeling research on angle measurement accuracy of four-quadrant detector of laser seeker | 激光导引头四象限探测器测角精度的建模研究
    🖋 Qiu, X., Wang, S., Liu, Z., Xu, W.
    📖 Infrared and Laser Engineering (2020), 49(7), 20190453
    🔗 Citations: 7

  4. Effects of Angular Tracking Error of Laser Seeker on Precise Laser Guidance | 激光导引头角跟踪误差对激光精确制导的影响
    🖋 Qiu, X., Liu, Z., Wang, S.
    📖 Journal of Xi’an Jiaotong University (2020), 54(5), pp. 124–132
    🔗 Citations: 1

  5. Influence of Laser-Seeker Detection Performance on High Repetition Rate Interference Laser | 激光导引头探测性能对高重复频率干扰激光器的影响
    🖋 Liu, Z., Qiu, X., Wang, S., Wang, Z.
    📖 Chinese Journal of Lasers (2019), 46(11), 1101001
    🔗 Citations: 3

  6. Research on effective probability of high-repetition interference in semi-active laser guided weapon system | 半主动激光制导武器系统的高重频干扰有效概率研究
    🖋 Qiu, X., Liu, Z., Wang, S.
    📖 Infrared and Laser Engineering (2019), 48(10), 1005004
    🔗 Citations: 2

  7. Pseudo-Random Coding of Semi-Active Laser-Guided Weapon | 半主动激光制导武器的伪随机编码
    🖋 Qiu, X., Liu, Z., Wang, S.
    📖 Chinese Journal of Lasers (2019), 46(8), 0801008
    🔗 Citations: 3

  8. Research on Influencing Factors of Detection Accuracy Based on Laser Seeker
    🖋 Liu, S., Liu, Z., Wang, S., Qiu, X.
    📖 Journal of Physics: Conference Series (2018), 1087(5), 052039
    🔗 Citations: 4