研究聚焦人因工程在康复领域的应用，入选上海市浦江人才，DAAD Stibet奖学金获得者，作为主要完成人获得中国康复医学会科学技术奖一等奖两项，教学成果奖一等奖一项，上海市科学技术奖二等奖一项

2009/09 – 2014/09, 柏林工业大学, 人因工程与产品工效学研究所, 博士

2006/09 – 2009/07, 中国矿业大学（北京）, 机械设计及理论, 硕士

2001/09 – 2005/06, 中南大学, 机械设计制造及其自动化, 本科

1. 人因可靠性与智能决策

2. 基于大脑皮层影像学的康复效果评估

3. 穿戴式外骨骼机器人

【主持】

[1] 国家重点研发计划项目课题: 脑瘫儿童运动功能障碍与姿势异常外骨骼机器人干预技术（2023YFC3604803）, 2023/12 – 2026/11.

[2] 国家重点研发计划项目子课题: 穿戴式腕踝电子针灸镇痛治疗仪研发（2019YFC1711803-5）, 2019/12 – 2021/12.

[3] 上海市科委“科技创新行动计划”标准专项: 穿戴式下肢外骨骼康复机器人的安全要求（19DZ2203600）, 2019/09 – 2022/08.

[4] 上海市浦江人才计划: 家庭康复产品的概念开发研究（16PJC063）, 2016/09 – 2018/08.

【授权发明专利】

[1] 3D打印多自由度假手五指连动机构，CN201710500459.1, 2019.01.15 

[2] 非侵入式人体软组织损伤风险监测系统，CN202110337794.0，2022.11.29

[3] 平足症筛查鞋垫以及平足症筛查步态分析系统，CN202110337850.0，2022.09.06

[4] 辅助取食器以及辅助取食装置，CN201910328275.0，2024.04.19

【学术专著】

[1] Duojin Wang (2014). Vorgehensmodell fuer die systemergonomische Gestaltung von med-technischen Produkten in der haeuslichen Rehabilitation, Shaker Verlag, Aachen. ISBN 978-3-8440-3071-6

【代表性论文】

智能决策与人因可靠性

[1] Duojin Wang, Jiawan Liu, Hongliu Yu (2024). Extending a human error identification and assessment method considering the uncertainty information for human reliability analysis of robot-assisted rehabilitation. Engineering Applications of Artificial Intelligence. 133(part B):108091. DOI: 10.1016/j.engappai.2024.108091

[2] Duojin Wang, Jiawan Liu, Qinglian Lin, Hongliu Yu (2024). A decision-making system based on case-based reasoning for predicting stroke rehabilitation demands in heterogeneous information environment. Applied Soft Computing. 154: 111358. DOI: 10.1016/j.asoc.2024.111358

[3] Jiawan Liu, Duojin Wang*, Qinglian Lin, Meikui Deng (2022). Risk assessment based on FMEA combining DEA and cloud model: A case application in robot-assisted rehabilitation. Expert Systems with Applications. 214: 119119. DOI: 10.1016/j.eswa.2022.119119

[4] Duojin Wang, Yan Wei, Juan Zhan, Lyu Xu & Qinglian Lin (2020). Human Reliability Assessment of Home-Based Rehabilitation. IEEE Transactions on Reliability. 70(4): 1310-1320. DOI: 10.1109/TR.2020.3001923

基于脑影像技术的康复评估

[1] Duojin Wang, Jiankang Zhou, Yanping Huang, Qingyun Meng (2025). Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation. Brain Connectivity. 15(2): 98-111. DOI: 10.1089/brain.2024.0043 (封面文章)

[2] Duojin Wang, Yihe Wu, Hongliu Yu (2024). State of the art of brain function detection technologies in robot-assisted lower limb rehabilitation. Brain connectivity. 14(8): 401-417. DOI: 10.1089/brain.2024.0005

[3] Duojin Wang, Yanping Huang, Sailan Liang, Qingyun Meng, Hongliu Yu (2023). The identification of interacting brain networks during robot-assisted training with multimodal stimulation. Journal of Neural Engineering. 20(1): 016009. DOI: 10.1088/1741-2552/acae05

[4] Duojin Wang, Sailan Liang (2021). Dynamic causal modeling on the identification of interacting networks in the brain: a systematic review. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29: 2299-2311. DOI: 10.1109/TNSRE.2021.3123964

穿戴式外骨骼机器人本体及算法

[1] Haoyuan Sun, Xiaoping Gu, Yubo Zhang, Fulin Sun, Sheng Zhang, Duojin Wang*, Hongliu Yu (2025). An Enhanced ResNet Deep Learning Method for Multimodal Signal-Based Locomotion Intention Recognition. Biomedical Signal Processing and Control. 101: 107254. DOI: 10.1016/j.bspc.2024.107254

[2] Duojin Wang, Xiaoping Gu, Wenzhuo Li, Yaoxiang Jin, Maisi Yang and Hongliu Yu (2023). Evaluation of Safety-Related Performance of Wearable Lower Limb Exoskeleton Robot (WLLER)：A Systematic Review. Robotics and Autonomous Systems. 160: 104308. DOI: 10.1016/j.robot.2022.104308

[3] Duojin Wang, Bingshan Hu, Wenming Chen, Qingyun Meng, Shiyu Liu, Suowen Ma, Xinwei Li & Hongliu Yu (2021). Design and preliminary validation of a lightweight powered exoskeleton during level walking for persons with paraplegia. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29: 2112-2123. DOI: 10.1109/TNSRE.2021.3118725

[4] Duojin Wang, Qingyun Meng, Qiaoling Meng, Xinwei Li, Hongliu Yu (2018). Design and development of a portable exoskeleton for hand rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(12): 2376-2386. DOI: 10.1109/TNSRE.2018.2878778