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.

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.