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秦岩

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秦岩现为重庆大学自动化学院教授、国家高层次青年人才、重庆大学弘深优秀学者,长期从事数字化变革在智能制造中的前沿问题展开研究,取得了多项创新性研究成果,获得国家“自然科学基金优秀项目(海外)”项目,入选重庆大学弘深优秀学者,在国际知名期刊如IEEE Trans. Cybernetics、IEEE Trans. Ind. Informat.、IEEE Tr...

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教师博客

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发布时间:2025-02-26  点击次数:


  • 2024 Nov 自动化学院首届无人系统与安全前沿国际论坛召开

  • 2024 Aug. Our paper "BEM-ANN Receiver with Linear Complexity for Severe Doubly-Selective Fading Channels" has been accepted by IEEE Transactions on Vehicular Technology.

  • 2024 Aug. Our paper "Graph Neural Network-based Lithium-ion Battery State of Health Estimation using Partial Discharging Curve" has been accepted by Journal of Energy Storage.

  • 2024 June 受邀参加2024江苏省自动化学会青年工作委员会年度会议,并作报告

  • 2024 May 受邀参加中国矿业大学115周年校庆特别专题,并做报告

  • 2024 Jan. I serves as the Associate Editor of the Journal of Automation and Intelligence

  • 2023 Dec. Our paper "A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions" has been accepted by Control Engineering Practice

  • 2023 DecOur paper "Data‐driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large‐scale nonlinear processes" has been accepted by AIChE Journal

  • 2023 Dec. Our paper "Limitation of Reactance Perturbation Strategy Against False Data Injection Attacks on IoT-based Smart Grid" has been accepted by IEEE Internet of Things Journal


  • 2023 Oct. Welcome Qingyue Huang and Kexin Zhang to join our group as master students.

  • 2023 Sep. Prof. Qin has been invited to give a presentation about battery health evaluation.

  • 2023 Sep. Welcome Shan Yin to join our group.

  • 2023. April 我们的论文A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction被IEEE TASE 接收, DOI:10.1109/TASE.2023.3274648

  • 受中国矿业大学人工智能研究院代伟院长邀请进行学术交流,并参加浙江大学顶级AI专家沈春华教授学术讲座"简单高效的弱监督和无监督实例分割算法"

  • 受邀担任国际期刊SN Compturer ScienceAssociate Editor

  • 我们的论文Lithium-ion battery online knee onset detection by matrix profile被IEEE Transactions on Transportation Electrification接收



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