邱科鹏
邱科鹏，男，1990年8月出生，广东茂名人，工学博士，讲师，硕士生导师。2014年本科毕业于北京化工大学信息科学与技术学院，获得测控技术与仪器专业学士学位；2020年博士毕业于北京化工大学信息科学与技术学院，获得控制科学与工程学科博士学位。2020至2022年，在清华大学精密仪器系精密测试技术及仪器国家重点实验室担任博士后研究员。2023年8月至今，任教于北京石油化工学院信息工程学院自动化系。
主要从事工业过程智能监控与故障诊断、面向复杂过程的智能软测量以及结构光条纹投影三维重建技术等方面的研究工作。作为项目负责人承担北京市教育委员会科研计划项目1项、企业横向委托科研项目2项；作为项目骨干参与国家自然科学基金面上项目1项。近年来，在Information Sciences、Expert Systems with Applications、Measurement等期刊发表学术论文30余篇，其中以第一或通讯作者发表SCI检索论文9篇，公开或授权国家专利10余项。此外，还担任IEEE Sensors Journal、IEEE Transactions on Instrumentation and Measurement、International Journal of Modeling, Simulation, and Scientific Computing等期刊审稿人，参加国内外学术会议4次。
I. 主要研究工作
1. 工业过程智能监控与故障诊断；
2. 面向复杂过程的智能软测量；
3. 结构光条纹投影三维重建。
II. 奖励与荣誉
1. 油气管网SCADA系统网络安全关键技术及应用, 中国石油和化工自动化应用协会，科技进步奖二等奖（排名4/12），2024年；
2. 北京市普通高校本科毕业设计优秀指导教师，2024年；
3. 国家级大学生创新创业训练计划重点支持项目指导教师，2024年。
III. 承担或参与的科研项目
1. 北京市教育委员会科研计划项目：非完备多模态数据的即时学习软测量技术研究（项目号：KM202410017005），项目负责人，2024.06-2026.12；
2. 国家自然科学基金面上项目：非规则数据模态分析的间歇过程软测量方法研究（项目号：61973025），项目骨干，2020.01-2023.12。
3. 企事业单位委托科技项目：北京管道工控安全配套技术服务，项目负责人，2023.09-2023.12。
4. 企事业单位委托科技项目：西南管道SCADA系统国产化替代工程，项目负责人，2023.12-2023.12。
IV. 代表性学术论文
期刊论文
1. Kepeng Qiu*, Qingxuan Wei, Weiwei Wang. Generalized collaborative relevance vector regression for soft sensors[J]. Information Sciences, 2025, 686: 121311.
2. Kepeng Qiu*, Jiayu Yang, Baowei Rong, Yu Liu. Qingxuan Wei, Weiwei Wang. Semantic Reconstruction of Multimodal Process Data with Dual Latent Space Constraints[J]. IEEE Sensors Journal, 2024, 24(20): 32782-32981.
3. Kepeng Qiu, Jianlin Wang*, Rutong Wang, Yongqi Guo, Liqiang Zhao. Soft sensor development based on kernel dynamic time warping and a relevant vector machine for unequal-length batch processes[J]. Expert Systems with Applications, 2021, 182: 115223.
4. Kepeng Qiu, Luo Tian, Peng Wang*. Adaptive depth measurement based on adversarial relevance vector regression for fringe projection profilometry[J]. Measurement, 2024, 227: 114209.
5. Kepeng Qiu, Luo Tian, Peng Wang*, Jinku Zhao. A Novel Generalized Adaptive Domain Fusion Framework for Structured Light 3-D Measurement[J]. IEEE Sensors Journal, 2024, 24(3): 3223-3231.
6. Kepeng Qiu, Jianlin Wang*, Xinjie Zhou, Rutong Wang, Yongqi Guo. Soft sensor based on localized semi-supervised relevance vector machine for penicillin fermentation process with asymmetric data[J]. Measurement, 2022, 202: 111823.
7. Kepeng Qiu, Weihong Song, Peng Wang*. Abnormal data detection for industrial processes using adversarial autoencoders support vector data description[J]. Measurement Science and Technology, 2022, 33(5): 055110.
8. Kepeng Qiu, Luo Tian, Peng Wang*. An Effective Framework of Automated Visual Surface Defect Detection for Metal Parts [J]. IEEE Sensors Journal, 2021, 21(18): 20412–20420.
9. Kepeng Qiu, Jianlin Wang*, Xinjie Zhou, Yongqi Guo, Rutong Wang. Soft sensor framework based on semisupervised just-in-time relevance vector regression for multiphase batch processes with unlabeled data[J]. Industrial & Engineering Chemistry Research, 2020, 59(44): 19633-19642.
10. Luo Tian, Kepeng Qiu, Yufeng Zhao, Peng Wang*. Edge Detection of Motion-Blurred Images Aided by Inertial Sensors[J]. Sensors, 2023, 23(16): 7187.
11. Jianlin Wang*, Kepeng Qiu, Rutong Wang, Xinjie Zhou, Yongqi Guo. Development of soft sensor based on sequential kernel fuzzy partitioning and just-in-time relevance vector machine for multiphase batch processes[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-10.
12. Jianlin Wang*, Kepeng Qiu, Yongqi Guo, Rutong Wang, Xinjie Zhou. Soft sensor development based on improved just‐in‐time learning and relevant vector machine for batch processes[J]. The Canadian Journal of Chemical Engineering, 2021, 99(1): 334-344.
13. Jianlin Wang*, Kepeng Qiu, Weimin Liu, Tao Yu, Liqiang Zhao. Unsupervised-multiscale-sequential-partitioning and multiple SVDD model based process-monitoring method for multiphase batch processes [J]. Industrial & Engineering Chemistry Research, 2018, 57(51): 17437-17451.
14. Weiwei Wang, Shukai Zhang, Kepeng Qiu, Xuejun Liu, Xiaodan Li, Ruilian Zhao*. Influencing Factors’ Analysis for the Performance of Parallel Evolutionary Test Case Generation for Web Applications[J]. Journal of Software: Evolution and Process, 2025, 37(2): e2751.
15. Jianlin Wang*, Weimin Liu, Kepeng Qiu, Tao Yu, Liqiang Zhao. Dynamic hypersphere based support vector data description for batch process monitoring[J]. Chemometrics and Intelligent Laboratory Systems, 2018, 172(2018):17-32.
16. Jianlin Wang*, Weimin Liu, Kepeng Qiu, Huan Xiong, Liqiang Zhao. Dynamic hypersphere SVDD without describing boundary for one-class classification[J]. Neural Computing and Applications, 2019, 31(8): 3295-3305.
17. Min Bian, Jianlin Wang*, Weimin Liu, Kepeng Qiu. Robust and reliable estimation via recursive nonlinear dynamic data reconciliation based on cubature Kalman filter[J]. Cluster Computing, 2017, 20(4): 2919-2929.
18. Yongqi Guo, Jianlin Wang*, Xinjie Zhou, Zhenguo Tan, Kepeng Qiu. A Hybrid Framework Based on Warped Hierarchical Tree for Pose Estimation of Texture-Less Objects[J]. IEEE Access, 2020, 8: 179813–179822.
19. Xuesong Fu, Jianlin Wang*, Zhixiong Hu, Yongqi Guo, Kepeng Qiu, Rutong Wang. Anisotropic total variation regularization based NAS-RIF blind restoration method for OCT image[J]. Journal of Beijing Institute of Technology, 2020, 29(2): 146-157.
会议论文
1. Kepeng Qiu, Jianlin Wang*, Xuesong Fu, Yongqi Guo, Jia Pan. Local Kernel Distance-Support Vector Data Description (LKD-SVDD)-based Process Monitoring Method for Multiphase Batch Processes[C]//2019 IEEE 15th International Conference on Control and Automation (ICCA). IEEE, 2019: 301-306.
2. Yongqi Guo, Jianlin Wang*, Kepeng Qiu, Liqiang Zhao, Xuesong Fu, Rutong Wang. Specular reflection separation for a single image using IR-SIP[C]//Proceedings of 2019 Chinese Intelligent Systems Conference: Volume II 15th. Springer Singapore, 2020: 504-512.
3. Huanyu Guo, Jianlin Wang*, Yongqi Guo, Xinjie Zhou, Kepeng Qiu. Multi-scale Visual Saliency Fusing with Spatiotemporal Features for Fire Detection[C]//Proceedings of 2020 Chinese Intelligent Systems Conference: Volume II. Springer Singapore, 2021: 222-231.
4. Pingting Song, Jianlin Wang*, Yongqi Guo, Liqiang Zhao, Kepeng Qiu. Multi-scale Superpixel Based Homomorphic Filtering for the Component Image Enhancement[C]//Proceedings of 2020 Chinese Intelligent Systems Conference: Volume II. Springer Singapore, 2021: 212-221.
V. 发明专利和软件著作权
1. 王建林, 邱科鹏, 于涛, 赵利强. 一种基于LWPT-DTW的间歇过程不等长时段同步化的方法, 专利号ZL201610976111.5, 授权公告日 2020-01-21.
2. 王建林, 邱科鹏, 潘佳. 一种基于CSJITL-RVM的多时段间歇过程软测量建模方法, 专利号ZL 201911385350.3, 授权公告日 2023-09-01.
3. 王建林, 熊欢, 邱科鹏, 韩锐, 于涛. 一种基于贝叶斯统计分析的间歇过程模态识别方法, 专利号 ZL 201810476326.X, 授权公告日 2021-10-01.
4. 王建林, 韩锐, 邱科鹏. 一种时序约束模糊聚类的间歇过程多模态划分方法, 专利号 ZL 201811633128.6, 授权公告日 2021-04-02.
5. 王建林, 黄展超, 邱科鹏. 一种基于DC-SPP-YOLO的图像目标检测方法, 专利号 ZL 201811633166.1, 授权公告日 2020-11-20.
6. 王建林, 刘伟旻, 邱科鹏, 韩锐, 赵利强. 一种基于动态超球结构变化的间歇过程测量数据异常检测方法, 专利号 ZL 201710717362.6, 授权公告日 2019-05-24.
7. 王鹏, 邱科鹏, 田洛. 工业零件三维形貌测量系统, 软件登记号: 2022SR1495391.
8. 王鹏, 田洛, 邱科鹏. 工业零件图像去模糊系统, 软件登记号: 2022SR1561525.
9. 王建林, 魏青轩, 赵利强, 于涛, 邱科鹏. 加速度计测试设备标定系统, 软件登记号: 2017SR099997.
VI. 招生信息
本人主要招收本人主要招收控制科学与工程（0811）学术学位硕士、电子信息工程（080701）专业学位硕士。诚挚欢迎自动化、电气工程及其自动化、测控技术与仪器、计算机科学与技术专业等专业踏实认真、敢于创新、具备较强的计算机应用能力和较高英语水平的同学加入团队。
