朱新赫,男，工学博士，副教授，北方工业大学未来学者，北京市“HJ工程”青年人才
中国·北京100144
北方工业大学机械与材料工程学院
E-mail: xinhezhu@ncut.edu.cn
个人简历
2014.02 - 2017.11 皇家墨尔本理工大学 航天航天工程荣誉学士
2018.02 - 2022.08 皇家墨尔本理工大学 机械工程博士研究生
（导师：Yongmin Zhong教授, Bijan Shirinzadeh教授）
2022.10 - 2025.03 皇家墨尔本理工大学 博士后研究员
2025.04 -至今 北方工业大学机械与材料工程学院副教授
教授课程
本科课程：
《控制工程基础》和《人工智能导论I》
主要研究领域和方向
1. 医疗外科机器人力触觉反馈与人机交互技术
2. 多模态传感与信息融合机制及应用
3. 生物软组织的力/热学表征、建模与变形仿真
4. 导航定位滤波算法
5. 人工智能在手术机器人与医学工程中的实践
近五年主持或参与的主要项目
1. 澳大利亚研究理事会ARC Discovery项目: Robotic microsurgery: intra-operative measurement, modelling and micro– manipulation control.（第一完成人）
2. 澳大利亚研究理事会ARC Discovery项目: Characterization, modelling and control for robotic thermal ablation.（第一完成人）
近五年代表性科研或教学获奖情况
1. 2023、2024年获“皇家墨尔本理工大学College Teaching Award (学院最佳教学奖)”
2. 2022、2024年获“皇家墨尔本理工大学Excellent Research Award (卓越研究奖)”
3. 2025年入选北京市“HJ”青年人才
近五年部分学术论文
1. Zhu, X., Li J., Zhong Y., et al. (2023) Iterative Kalman Filter for Biological Tissue Identification. International Journal of Robust and Nonlinear Control. 1-13.
2. Zhu, X., Gao, B., Zhong, Y., Gu, C., & Choi, K. S. (2021). Extended Kalman Filter based on Stochastic Epidemiological Model for COVID-19 Modelling. Computers in Biology and Medicine, 137, 104810.
3. Zhu, X., Gao, B., Zhong, Y., Gu, C., & Choi, K. S. (2021). Extended Kalman Filter for Online Soft Tissue Characterization based on Hunt-Crossley Contact Model. Journal of the Mechanical Behavior of Biomedical Materials, 123, 104667.
4. Zhu, X., Li, J., & Zhong, Y. (2023). Real-Time haptic Characterisation of Hunt-Crossly Model Based on Radial Basis Function Neural Network for Contact Environment. Journal of the Mechanical Behavior of Biomedical Materials, 157, 106611.
5. Zhu, X., Li, J., Zhong, Y., Gu, C., & Choi, K. S. (2024). Extended Kalman Filter-based Maximum Likelihood Estimation for Nonlinear Soft Tissue Characterization. Engineering Applications of Artificial Intelligence.
6. Zhu, X., Zhong, Y., Shi, Y., Gu, C., & Choi, K. S. (2023). An EKF Prediction of COVID-19 Propagation under Vaccinations and Viral Variants. Mathematics and Computers in Simulation.
7. Gao, B., Hu, G., Zhong, Y., &Zhu, X.(2021). Cubature Rule-based Distributed Optimal Fusion with Identification and Prediction of Kinematic Model Error for Integrated UAV Navigation. Aerospace Science and Technology, 109, 106447.
8. Gao, B., Li, W., Hu, G., Zhong, Y., &Zhu, X.(2022). Mahalanobis Distance-based Fading Cubature Kalman Filter with Augmented Mechanism for Hypersonic Vehicle INS/CNS Autonomous Integration. Chinese Journal of Aeronautics, 35(5), 114-128.
9. Gao, B., Hu, G., Zhang, L., Zhong, Y., &Zhu, X.(2022). Cubature Kalman filter with Closed-Loop Covariance Feedback Control for Integrated INS/GNSS Navigation. Chinese Journal of Aeronautics.
10.Gao, B., Hu, G., Zhong, Y., &Zhu, X.(2022). Distributed State Fusion Using Sparse-Grid Quadrature Filter with Application to INS/CNS/GNSS Integration. IEEE Sensors Journal.
11.Gao, B., Hu, G., Zhong, Y., &Zhu, X.(2021). Cubature Kalman Filter with Both Adaptability and Robustness for Tightly-coupled GNSS/INS Integration. IEEE Sensors Journal, 21(13), 14997-15011.
主要社会学术兼职
担任SCI期刊Sensors特刊特邀编辑，以及Int. J. Interact. Des. Manuf.、Satellite Navig.、PLoS Comput. Biol.、Comput. Biol. Med.、Eng. Appl. Artif. Intell.、J. Mech. Behav. Biomed. Mater.等11个SCI期刊的审稿专家。
