Shuang Shi | Automation | Best Researcher Award

Assoc. Prof. Dr. Shuang Shi | Automation | Best Researcher Award

Assoc. Prof. Dr. Shuang Shi, Nanjing University of Aeronautics and Astronautics, China.

Dr. Shuang Shi is an Associate Professor at the School of Automation Engineering, Nanjing University of Aeronautics and Astronautics. He earned his B.S. and Ph.D. in Control Science and Engineering from Harbin Institute of Technology in 2015 and 2020, respectively. His research focuses on switched system theories and advanced flight control, contributing to adaptive tracking control for unmanned helicopters and formation tracking for multi-UAV systems. He has published 29 SCI/Scopus-indexed journals, 2 books, and 7 patents, with a citation index of 851 (SCI).

Professional Profile

πŸŽ“ Education

Dr. Shuang Shi obtained his Bachelor of Science (B.S.) and Doctor of Philosophy (Ph.D.) degrees in Control Science and Engineering from Harbin Institute of Technology in 2015 and 2020, respectively. His academic journey was marked by rigorous research in switched system theories and advanced flight control. During his doctoral studies, he focused on developing adaptive tracking control strategies for unmanned helicopters and formation tracking control for multi-UAV systems. His strong foundation in control engineering has significantly contributed to his expertise in automation and aerospace systems.

πŸ”¬Research Contributions On AutomationΒ 

Dr. Shuang Shi has made significant contributions to the field of switched system theories and advanced flight control. His research focuses on developing innovative analysis and synthesis techniques for complex switched systems. He has designed adaptive tracking control strategies for unmanned helicopters with multiple constraints and novel time-varying formation tracking control strategies for multi-UAV systems with switching topologies. His work has led to improved stability and performance in autonomous flight systems, making a substantial impact in aerospace control engineering.

πŸ’ΌProfessional Background

Dr. Shuang Shi is an Associate Professor at the School of Automation Engineering, Nanjing University of Aeronautics and Astronautics. He earned his B.S. and Ph.D. degrees in Control Science and Engineering from Harbin Institute of Technology in 2015 and 2020, respectively. His research focuses on switched system theories and advanced flight control. He has contributed significantly to adaptive tracking control strategies for unmanned helicopters and formation tracking control for multi-UAV systems. His work has led to multiple patents, publications, and industry collaborations.

πŸš€ Contributions to Science and Technology

Dr. Shuang Shi specializes in switched system theories, enhancing analysis and synthesis techniques for complex switched systems. His recent research focuses on advanced flight control, applying switched system theories to design adaptive tracking control strategies for unmanned helicopters with multiple constraints. Additionally, he has developed innovative time-varying formation tracking control strategies for multi-UAV systems with switching topologies.

πŸ… Awards & Honors

Dr. Shuang Shi has made significant contributions to the fields of advanced flight control and switched systems, earning widespread recognition for his research. With 851 SCI citations, 29 published journal articles, and 7 patents, his work has advanced UAV control strategies and adaptive tracking systems. His research has been instrumental in shaping modern aerospace automation. Honored with multiple awards, he continues to push the boundaries of flight control engineering, leaving a lasting academic and industrial impact.

Conclusion

Assoc. Prof. Dr. Shuang Shi’s remarkable contributions to the fields of advanced flight control and switched systems, along with his extensive research output and innovations, make him an exceptional candidate for the Best Researcher Award. His work continues to have a global impact, demonstrating both academic excellence and practical significance, making him a deserving recipient of this prestigious recognition.

πŸ“šPublication Top Notes

Quasi-time-dependent output control for discrete-time switched system with mode-dependent average dwell time

Citations: 144 πŸ“ˆ

Year: 2017

Journal: IEEE Transactions on Automatic Control

Asynchronous control for 2-D switched systems with mode-dependent average dwell time

Citations: 135 πŸ“ˆ

Year: 2017

Journal: Automatica

Filtering for switched T–S fuzzy systems with persistent dwell time

Citations: 117 πŸ“ˆ

Year: 2018

Journal: IEEE Transactions on Cybernetics

Improved stability criteria for discrete-time switched T–S fuzzy systems

Citations: 80 πŸ“ˆ

Year: 2018

Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems

Asynchronous filtering for discrete-time switched T–S fuzzy systems

Citations: 69 πŸ“ˆ

Year: 2019

Journal: IEEE Transactions on Fuzzy Systems

Stabilization of 2-D switched systems with all modes unstable via switching signal regulation

Citations: 63 πŸ“ˆ

Year: 2017

Journal: IEEE Transactions on Automatic Control

Event-triggered control for switched T–S fuzzy systems with general asynchronism

Citations: 62 πŸ“ˆ

Year: 2020

Journal: IEEE Transactions on Fuzzy Systems

Asynchronous control for switched systems by using persistent dwell time modeling

Citations: 62 πŸ“ˆ

Year: 2019

Journal: Systems & Control Letters

Finite-time control for switched T–S fuzzy systems via a dynamic event-triggered mechanism

Citations: 60 πŸ“ˆ

Year: 2020

Journal: IEEE Transactions on Fuzzy Systems

Finite-time H∞ control of switched systems with mode-dependent average dwell time

Citations: 60 πŸ“ˆ

Year: 2016

Journal: Journal of the Franklin Institute

Finite-time output feedback control for discrete-time switched linear systems with mode-dependent persistent dwell-time

Citations: 31 πŸ“ˆ

Year: 2018

Journal: Journal of the Franklin Institute

Quasi-time-dependent control for 2-D switched systems with actuator saturation

Citations: 29 πŸ“ˆ

Year: 2017

Journal: Information Sciences

Asynchronously bounded filtering for discrete-time switched positive systems

Citations: 19 πŸ“ˆ

Year: 2022

Journal: Nonlinear Analysis: Hybrid Systems

Stability and stabilization for discrete-time switched systems with asynchronism

Citations: 15 πŸ“ˆ

Year: 2018

Journal: Applied Mathematics and Computation

Finite-time control of switched systems under asynchronism based on quantized sampled-data

Citations: 11 πŸ“ˆ

Year: 2020

Journal: Journal of the Franklin Institute

Analysis and synthesis for discrete-time switched systems

Citations: 10 πŸ“ˆ

Year: 2020

Publisher: Springer International Publishing

Output reachable set estimation for discrete-time switched systems with persistent dwell-time

Citations: 10 πŸ“ˆ

Year: 2019

Journal: Journal of the Franklin Institute

Dynamic Event-Triggered Consensus Cost-Based Switching Control for UAV Formation With Disturbances

Citations: 9 πŸ“ˆ

Year: 2023

Journal: IEEE Transactions on Intelligent Vehicles

Time-scheduled observer design for switched linear systems with unknown inputs

Citations: 7 πŸ“ˆ

Year: 2022

Journal: Science China Information Sciences

Asynchronous filtering for 2-D switched systems with missing measurements

Citations: 6 πŸ“ˆ

Year: 2019

Journal: Multidimensional Systems and Signal Processing

Switching modeling and bumpless transfer tracking control for the conversion mode of tilt-rotor aircraft

Citations: 4 πŸ“ˆ

Year: 2023

Journal: Transactions of the Institute of Measurement and Control

Almost output regulation for turbofan switched systems under multi‐source disturbances and time delay

Citations: 2 πŸ“ˆ

Year: 2024

Journal: International Journal of Robust and Nonlinear Control

Smooth tracking control for conversion mode of a tilt-rotor aircraft with switching modeling

Citations: 1 πŸ“ˆ

Year: 2024

Journal: Frontiers of Information Technology & Electronic Engineering

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

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€–