丁勇｜Ding-Yong

Biography

Ding-Yong was born in October 1998, from Shandong Province, China. He is a CPC member and a member of the Chinese Biotechnology Association. He is currently pursuing his Ph.D. degree in Biomedical Engineering at Northeastern University.

His research focuses on embodied intelligence, smart wearable devices, human motion perception, and multimodal signal processing. He has published papers in leading journals including IEEE Transactions on Human-Machine Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Instrumentation and Measurement, and IEEE/ASME Transactions on Mechatronics. He also owns authorized invention patents.

Education

• Northeastern University Ph.D. in Biomedical Engineering, Sep. 2024 – Present
  
• Northeastern University M.Eng. in Electronic Information, Sep. 2021 – Jun. 2024
  
• Northeastern University B.Eng. in Biomedical Engineering, Sep. 2017 – Jun. 2021
  

Academic Services

• Member: Chinese Biotechnology Association
  
• Reviewer:
  IEEE Transactions on Systems, Man, and Cybernetics: Systems;
  Scientific Reports;
  Exploration of Digital Health Technologies;
  Sustainable Social Development;
  Mathematical Methods in Data Science;
  The 3rd International Conference on Intelligent Systems and Robotics (CISR2026);
  The 5th International Workshop on Automation, Control and Communication Engineering (IWACCE2026);
  The 26th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2026); etc.
  

Selected Publications

1. Ding Y, Zou M, Teng Y, et al. CST framework: A robust and portable finger motion tracking framework. IEEE Transactions on Human-Machine Systems, 2024, 54(3): 282-291. (First Author, Q1, CCF-B)
2. Ding Y, Nan T, Wang F, et al. Data knee pads: a lower limb motion capture system based on heterogeneous sensors. IEEE Journal of Biomedical and Health Informatics, 2025. (First Author, Q1, CCF-C, Top)
3. Ding Y, Wang L, Nan T, et al. AG-Pose: Anatomy-Guided Human Pose Estimation With Sparse IMUs. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 1-10. (First Author, Q1, Top)
4. Cui X, Ding Y, Nan T, et al. A Finger Motion Tracking Framework for Human–Computer Interaction Based on Data Gloves. IEEE/ASME Transactions on Mechatronics, 2026. (Co-Author, Q1, Top)
5. Liu H, Li D, Chu H, et al. Ultra-stretchable triboelectric touch pad with sandpaper micro-surfaces for Transformer-assisted gesture recognition. Nano Energy, 2024, 130: 110110. (Co-Author, Q1, Top)

Conference Presentation

• Oral Presentation, Intelligent Robotics Session, The 9th International Conference on Mechanical, Electrical and Industrial Engineering (MEIE 2026)

Patents

• Authorized Invention Patent: A Finger Motion Tracking Method and System Based on Compressed Sensing Model

Industrial Collaboration

Research and Development of Smart Wearable Devices Based on Liquid Metal Sensors Collaboration with Shanghai Yudie Intelligent Technology Co., Ltd.

This project focuses on liquid metal sensor characteristics, sensor selection, anatomical structure design, prototype development of smart wearable devices, and algorithm integration. The system is widely used in human–computer interaction and motion monitoring, and the product has been launched.