Geng Yang | Robot Sensing | Best Researcher Award

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

🎓 Education

  • 2006—2013 🏅 Ph.D. in Electronic Systems, Royal Institute of Technology (KTH), Stockholm, Sweden
  • 2003—2006 🎓 M.Sc. in Instrument Science & Technology, Zhejiang University (ZJU), China
  • 1999—2003 📖 B.Sc. in Instrument Science & Technology, Zhejiang University (ZJU), China

🔬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.

💼 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.

🏆 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 🇨🇳
  • 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.

📚Publication Top Notes

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

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

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

4️⃣ IoT-based remote pain monitoring system: From device to cloud platform
📖 IEEE Journal of Biomedical and Health Informatics (2017) – 200 citations ☁️💉

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

6️⃣ Homecare robotic systems for healthcare 4.0: Visions and enabling technologies
📖 IEEE Journal of Biomedical and Health Informatics (2020) – 197 citations 🏠🤖

7️⃣ Multifunctional flexible humidity sensor systems towards noncontact wearable electronics
📖 Nano-Micro Letters (2022) – 195 citations 🔬💧

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

9️⃣ Stretchable graphene–hydrogel interfaces for wearable and implantable bioelectronics
📖 Nature Electronics (2024) – 153 citations 🧪🩺

🔟 Keep healthcare workers safe: application of teleoperated robot in isolation ward for COVID-19 prevention and control
📖 Chinese Journal of Mechanical Engineering (2020) – 153 citations 🦠🤖