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Prof. Dr. Geng Yang | Robot Sensing | Best Researcher Award

Prof. Dr. Geng Yang, Zhejiang University, China.

Prof. Geng Yang is a distinguished researcher in robot sensing, human-robot interaction, and biomedical IoT. He is a Professor at the School of Mechanical Engineering, Zhejiang University, China, and previously held positions at Fudan University and the Royal Institute of Technology, Sweden. A recipient of China’s National Distinguished Young Talents Program, he serves as an Associate Editor for top IEEE journals. His pioneering work in human cyber-physical systems and flexible sensors has significantly advanced healthcare and industrial automation.

Professional Profile

πŸŽ“Β Education

  • 2006β€”2013 πŸ… Ph.D. in Electronic Systems, Royal Institute of Technology (KTH), Stockholm, Sweden
  • 2003β€”2006 πŸŽ“ M.Sc. in Instrument Science & Technology, Zhejiang University (ZJU), China
  • 1999β€”2003 πŸ“– B.Sc. in Instrument Science & Technology, Zhejiang University (ZJU), China

πŸ”¬Research Contributions On Robot Sensing

Prof. Geng Yang has made significant contributions to robot sensing, human-robot interaction, and biomedical IoT, advancing safer and more efficient healthcare and industrial automation systems. His research on multimodal robot skin technology enhances tactile perception for human-cyber-physical systems. He has pioneered flexible circuits and biomedical micro-systems, integrating heterogeneous technologies for healthcare applications. His extensive publications, editorial roles, and leadership in IEEE and ACM conferences further solidify his impact in next-generation robotics, smart sensing, and assistive healthcare technologies.

πŸ’Ό Work Experience

Prof. Geng Yang has an extensive academic and research career in mechanical engineering and biomedical systems. Since 2016, he has been a Professor at Zhejiang University, contributing to advancements in human-robot interaction and healthcare IoT. He previously served as an Associate Professor at Fudan University (2015–2016) and a Postdoctoral Researcher at the Royal Institute of Technology (KTH), Sweden (2013–2015). His expertise spans robot sensing, flexible circuits, and biomedical micro-systems, making significant contributions to academia and industry.

πŸ† Editorial & Academic Contributions

  • Associate Editor:
    • IEEE Review in Biomedical Engineering (IEEE RBME)
    • Chinese Journal of Mechanical Engineering (CJME)
    • IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
    • Bio-Design and Manufacturing (Springer BDM)
  • Technical Committees: IEEE Industrial Electronics Society (IES)

🎀 Invited Talks & Tutorials (Recent)

  • Robot Tactile Perception for Safer Human-Robot Interaction – MDBS-BHE’ 2024, China πŸ‡¨πŸ‡³
  • Bionic Skin & Collaborative Robots in Healthcare 4.0 – Neural Engineering & Rehabilitation 2023, China
  • Multimodal Robot Skin for Safer Human-Robot Interaction – MDBS-CHE’ 2022, Hong Kong

Conclusion

Prof. Geng Yang’s exceptional contributions to robot sensing, human-robot interaction, and biomedical IoT establish him as a leader in research and innovation. His extensive publications, editorial roles, and global recognition underscore his impact. With a distinguished career and groundbreaking advancements, he is highly deserving of the Best Researcher Award for his remarkable achievements in science and technology.

πŸ“šPublication Top Notes

1️⃣ A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box
πŸ“– IEEE Transactions on Industrial Informatics (2014) – 865 citations πŸ“Š

2️⃣ Wearable Internet of Things: Concept, architectural components and promises for person-centered healthcare
πŸ“– 4th International Conference on Wireless Mobile Communication (2014) – 451 citations πŸ₯

3️⃣ An IoT-enabled stroke rehabilitation system based on smart wearable armband and machine learning
πŸ“– IEEE Journal of Translational Engineering in Health and Medicine (2018) – 217 citations 🧠

4️⃣ IoT-based remote pain monitoring system: From device to cloud platform
πŸ“– IEEE Journal of Biomedical and Health Informatics (2017) – 200 citations β˜οΈπŸ’‰

5️⃣ Human Digital Twin in the context of Industry 5.0
πŸ“– Robotics and Computer-Integrated Manufacturing (2024) – 197 citations πŸ€–

6️⃣ Homecare robotic systems for healthcare 4.0: Visions and enabling technologies
πŸ“– IEEE Journal of Biomedical and Health Informatics (2020) – 197 citations πŸ πŸ€–

7️⃣ Multifunctional flexible humidity sensor systems towards noncontact wearable electronics
πŸ“– Nano-Micro Letters (2022) – 195 citations πŸ”¬πŸ’§

8️⃣ Introduction to the special section: convergence of automation technology, biomedical engineering, and health informatics toward the healthcare 4.0
πŸ“– IEEE Reviews in Biomedical Engineering (2018) – 185 citations πŸ₯πŸ–₯️

9️⃣ Stretchable graphene–hydrogel interfaces for wearable and implantable bioelectronics
πŸ“– Nature Electronics (2024) – 153 citations πŸ§ͺ🩺

πŸ”Ÿ Keep healthcare workers safe: application of teleoperated robot in isolation ward for COVID-19 prevention and control
πŸ“– Chinese Journal of Mechanical Engineering (2020) – 153 citations πŸ¦ πŸ€–

 

Geng Yang | Robot Sensing | Best Researcher Award