冀晓强教授在美国哥伦比亚大学获得博士学位，，，，，，现任香港中文大学（丽江）理工学院助理教授、博士生导师，，，，，，兼任z6首页具身智能中心副主任，，，，，，广东省具身智能机械人为程技术钻研中心副主任，，，，，，中国仿真学会智能物联专委会委员，，，，，，东盟-中国人为智能尝试室首席科学家。。。。。。 。
他的钻研重要集中在智能节造系统，，，，，，主持多项科研及人才项目，，，，，，蕴含国度天然科学基金数据科学与人为智能前沿索求课题、丽江市沉大专项、广东省面高等。。。。。。 。至今在IEEE Transactions on Automatic Control (TAC)、Automatica、Journal of Field Robotics (JFR)、IEEE/ASME T-Mech、T-ASE、RA-L、CDC、ICRA等顶尖国际期刊及会议颁发论文五十余篇。。。。。。 。出格是在非最幼相位系统方面，，，，，，是该领域全球领域内进建节造设计的推动者之一。。。。。。 。他担任蕴含IEEE-TAC在内的多个顶级期刊及会议的审稿人、MECC副编纂、Robot Learning青年编委、IROS、RCAR等国际会议领域主席，，，，，，并于近期获得CINT优良论文奖、ISUI最佳论文奖等。。。。。。 。
冀教授携带的人为智能节造与决策尝试室，，，，，，是一个学科交叉平台，，，，，，必要深度融合节造论、人为智能、机械人学、高机能推算、大数据等基础科学，，，，，，致力于发展人为智能与智能系吐潇域的基础理论与原创性钻延祝。。。。。 。
(*) denotes the corresponding author:
- X. Ji*, S. Zhu, Y. Xu, and R. Longman. Lifted time stable inversion based feedforward control for linear non-minimum phase systems, Automatica, vol. 171, pp. 111979, 2025.
- X. Ji, X.Zhang, S.Zhu, F.Deng and B.Zhu. Data-driven adaptive consensus control for heterogeneous nonlinear multi-agent systems using online reinforcement learning, Neurocomputing, Vol. 596, 127818, 2024.
- J.Li, C.Zhao, X. Ji*, M.Li, G.Lu, Y.Xu, and D.Zhang. Multi-view instance attention fusion network for classification, Information Fusion, Vol. 101, 101974, 2024.
- K.Xue, X. Ji*, D.Qu, Y.Peng and H.Qian*. Oboat: An agile omnidirectional robotic platform for unmanned surface vehicle tasks, IEEE/ASME Transactions on Mechatronics (T-Mech), vol.28, no.5, pp.2413-2424, Oct. 2023.
- S. Zhu, Y. Wang, B. Zhu, and X. Ji*. Tracking error boundary of novel stable inversion based feedforward control for a class of non-minimum phase systems, CINT, vol 1714, Springer, 2023. [Excellent Paper Award]
- R. Xu, X. Ji, C.Liu, J. Hou, H.Qian. Design and control of a wave-driven solar tracker, IEEE Transactions on Automation Science and Engineering (T-ASE), vol. 20, no. 2, pp.1007-1019, 2023.
- K.Xue, J. Liu, N. Xiao, X. Ji*, and H. Qian*. A bio-inspired simultaneous surface and underwater risk assessment method based on stereo vision for USVs in nearshore clean waters, IEEE Robotics and Automation Letters (RA-L), 2022.
- X. Ji, and R. Longman. Two new stable inverses of discrete time systems, Astrodynamics Specialist Conference, AAS/American Institute of Aeronautics and Astronautics (AIAA), vol. 171(1), 2020, pp. 4137-4143.
- X. Ji, and R. Longman. The insensitivity of the iterative learning control inverse problem to initial run when stabilized by a new stable inverse. Modeling, Simulation and Optimization of Complex Process, Bock. et al., Springer, 2(4):257-275, 2020
