Devender Singh | Robotics and Automation | Young Innovator Award

Mr. Devender Singh | Robotics and Automation | Young Innovator Award

Uttaranchal University | India

Mr. Devender Singh is an emerging researcher in Internet of Things (IoT), Artificial Intelligence (AI), and smart device engineering, with a strong focus on real-time monitoring systems and intelligent automation. His work integrates embedded systems, wireless communication, and cloud-based analytics to develop scalable, application-oriented solutions across domains such as smart agriculture, healthcare, surveillance, and environmental monitoring. He has contributed to multiple patents and interdisciplinary innovations, emphasizing practical deployment and societal impact. His research also extends to AI-driven diagnostics, edge computing, and blockchain-integrated IoT systems, demonstrating a commitment to advancing next-generation intelligent infrastructure and sustainable technological ecosystems.

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Featured Publications


Secure and smart healthcare system using IoT and deep learning models

– International Conference on Technological Advancements, 2022 | Cited by: 121

Mg-based metal matrix composite in biomedical applications: a review

– Materials Today: Proceedings, 2023 | Cited by: 19 

Hosu Lee | Intelligent Robotics | Best Researcher Award

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.