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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...
more+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 Dec. Our 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 Science的Associate 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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