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.

Yunwen Xu | Intelligent Transportation Control | Best Researcher Award

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Dr. Yunwen Xu | Intelligent Transportation Control | Best Researcher Award

Associate researcher at Shanghai Jiao Tong University | China

Dr. Yunwen Xu is an accomplished Associate Researcher and Doctoral Supervisor at Shanghai Jiao Tong University, recognized for her impactful contributions to intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her research bridges advanced control theory with practical applications in intelligent mobility and energy management. She has authored over 50 peer-reviewed publications, including 15 in top-tier journals, and her work is highly cited, with a total of 499 citations and 473 since 2020. Dr. Xu’s research impact is reflected in an h-index of 9 and an i10-index of 9, highlighting the influence and relevance of her work in the field. She has developed innovative predictive control models that optimize large-scale, stochastic traffic systems, advancing traffic flow regulation under vehicle-to-everything (V2X) and autonomous vehicle frameworks. Her contributions have led to six authorized patents and multiple successful technology transfers, demonstrating her ability to translate research into practical industrial solutions. She has led multiple national and provincial projects and collaborated with industry partners to implement intelligent control systems for microgrids and advanced temperature regulation technologies. Her achievements have earned her academic and technological awards, including recognition for excellence in process control and autonomous driving algorithm innovation. As an active member of technical committees under the Chinese Association of Automation, Dr. Xu continues to drive advancements in predictive control and intelligent decision-making systems, fostering the development of smarter, more efficient, and sustainable urban mobility ecosystems.

Profile: Google Scholar

Featured Publications

Sheng, Z., Xu, Y., Xue, S., & Li, D. (2022). Graph-based spatial-temporal convolutional network for vehicle trajectory prediction in autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 23(10), 17654–17665.

He, S., Chen, W., Li, D., Xi, Y., Xu, Y., & Zheng, P. (2021). Iterative learning control with data-driven-based compensation. IEEE Transactions on Cybernetics, 52(8), 7492–7503.

Xu, Y., Li, D., Xi, Y., Lan, J., & Jiang, T. (2018). An improved predictive controller on the FPGA by hardware matrix inversion. IEEE Transactions on Industrial Electronics, 65(9), 7395–7405.

Yang, L., Lu, J., Xu, Y., Li, D., & Xi, Y. (2020). Constrained robust model predictive control embedded with a new data‐driven technique. IET Control Theory & Applications, 14(16), 2395–2405.

Xu, Y., Xi, Y., Li, D., & Zhou, Z. (2016). Traffic signal control based on Markov decision process. IFAC-PapersOnLine, 49(3), 67–72.