个人资料：
姓名：任尚杰
职称：副教授//博士生导师
学科专业：控制科学与工程/检测技术与自动化装置
通讯地址：天津大学电气自动化与信息工程学院26教学楼D区321室
电子信箱：rensjie@tju.edu.cn
电话/传真：15900330537
主要经历：
[1] 2017.06至今 天津大学电气自动化与信息工程学院，检测技术与自动化装置专业，副教授，博士生导师
[2] 2015.06-2016.07 斯坦福大学，医学院，医学物理系，访问学者
[3] 2014.01-2017.05 天津大学电气自动化与信息工程学院，检测技术与自动化装置专业，讲师，硕士生导师
主要研究方向：
[1] 先进过程成像模型与算法研究：电阻抗层析成像（EIT）、超声层析成像（UT）、光学相干层析成像（OCT）、计算机断层扫描成像（CT）、多模态融合成像（MLT）；
[2] 基于多模态医学影像的疾病诊断、治疗方案优化、疗效预测、风险评估：心脑血管疾病、皮肤微血管疾病、癌症放射治疗；
[3] 多相流非接触可视化测试：基于层析成像的多相流流动过程可视化测试方法与技术。
主要科研项目：
[1] 2020.01-2023.01 国家自然科学基金面上项目“形状约束心脏敏感电阻抗成像方法研究”，项目负责人
[2] 2019.12-2023.11 科技部国家重点研发计划“车用燃料电池喷射式氢气再循环泵研发-复杂多相介质环境适应性技术”，课题负责人
[3] 2019.01-2023.12 国家自然科学基金国家重大科研仪器研制项目“基于双源多模多功能血管内光学相干成像系统研制”，合作任务负责人
[4] 2017.04-2020.03 天津市自然科学基金青年类项目“超分辨率介观电阻抗层析成像系统与方法研究”，项目负责人
[5] 2017.01-2020.12 产学研企业委托项目“超分辨率血管内层析成像方法与技术”，项目负责人
[6] 2015.01-2017.12 国家自然科学基金项目“非连续电阻抗分布的形状重建方法研究”，项目负责人
[7] 2020.01-2023.12 国家自然科学基金面上项目“多源信息融合油气水多相流流动状态分析与在线监测”，项目参与人
[8] 2016.01-2019.12 国家自然科学基金项目“电学/超声双模态层析成像融合机理与方法”，项目参与人
[9] 2015.01-2018.12 国家自然科学基金项目“基于电学/超声阵列式传感器数据融合的水平油水两相流测试系统”，项目参与人
[10] 2013.01-2016.12 国家自然科学基金科学仪器研究专项“油气水多相流过程参数可视化测试仪”，项目参与人
[11] 2011.10-2016.10 国家重大科学仪器设备开发专项任务“多相流动可视化及参数测量系统”，项目参与人
代表性论著、学术著作：
期刊论文：
[1] Ren Shagnjie*, Shen Xiongri, Xu Jingjiang, Li Liang*, Qiu Haixia, Jia Haibo, Wu Xining, Chen Defu, Zhao Shiyong, Yu Bo, Gu Ying and Dong Feng, Imaging depth adaptive super-resolution for optical coherence tomography angiography via external attention, Physics in Medicine & Biology, 2021, online. (DOI: 10.1088/1361-6560/ac2267) (SCI TOP)
[2] Ren Shangjie, Guan Ru, Dong Feng, RCRC: A Deep Neural Network for Dynamic Electrical Impedance Tomography, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 4505311. (SCI TOP)
[3] Ren Shangjie, Yu Wang, Dong Feng*, Piecewise constant level-set enhanced active shape reconstruction for electrical impedance tomography, Measurement, 2021, 177: 109335. (SCI)
[4] Liang Guanghui, Dong Feng, Ville Kolehmainen, Marko Vauhkonen, Ren Shangjie* Nonstationary Image Reconstruction in Ultrasonic Transmission Tomography using Kalman Filter and Dimension Reduction, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 4501012. (SCI TOP)
[5] Wang Yu, Dong Feng, Ren Shangjie*, Computational Focusing Sensor: Enhancing Spatial Resolution of Electrical Impedance Tomography in Region of Interest, IEEE Sensors Journal, 2021, 21(17): 19101-11. (SCI)
[6] Ren Shangjie, Wang Yu, Dong Feng*, A Fast Inclusion Boundary Reconstruction Method for Electrical Impedance Tomography with Parametric Snake Model, IEEE Transactions on Instrumentation and Measurement, 2020: 69 (10): 7606-7616. (SCI TOP)
[7] Ren Shangjie, Sun Kai, Dong Feng*, A Two Stage Deep Learning Model for Shape Reconstruction with EIT, IEEE Transactions on Instrumentation and Measurement, 2020, 29 (7): 4887-4897. (SCI TOP)
[8] Ren Shangjie, Liang Guanghui, Dong Feng*, A Point Constraint Boundary Reconstruction Framework for Ultrasound Guided Electrical Impedance Tomography, IEEE Transactions on Computational Imaging, 2020, 6: 1336-1350. (SCI TOP)
[9] Liang Guanghui, Ren Shangjie*, Dong Feng, A Shape-Based Statistical Inversion Method for EIT/URT Dual-Modality Imaging, IEEE Transactions on Image Processing, 2020, 49 (1): 4099-4113. (SCI TOP)
[10] Liang Guanghui, Ren Shangjie*, Dong Feng, An Inclusion Boundary and Conductivity Simultaneous Estimation Method for Ultrasound Reflection Guided Electrical Impedance Tomography, IEEE Sensors Journal, 2020, 20(19): 11578-11587. (SCI)
[11] Ren Shangjie, Sun Kai, Liu Dong*, Dong Feng*, A Statistical Shape Constrained Reconstruction Framework for Electrical Impedance Tomography, IEEE Transactions on Medical Imaging, 2019, 38 (10): 2400-2410. (SCI TOP)
[12] Ren Shangjie, Wang Yu, Liang Guanghui, Dong Feng*, A Robust Inclusion Boundary Reconstructor for Electrical Impedance Tomography with Geometric Constraints, IEEE Transactions on Instrumentation and Measurement, 2019, 68 (3): 762-773. (SCI TOP)
[13] Wang Yu, Ren Shangjie*, Dong Feng, Focusing sensor design for Open Electrical Impedance Tomography Based on Shape Conformal Transformation, Sensors, 2019, 19 (9): 2060. (SCI)
[14] Wang Yu, Ren Shangjie*, Dong Feng, A Transformation-Domain Image Reconstruction Method for Open Electrical Impedance Tomography Based on Conformal Mapping, IEEE Sensors Journal, 2019, 19 (5): 1873-1883. (SCI)
[15] Liang Guanghui, Ren Shangjie*, Shu Zhao*, Dong Feng, A Lagrange-Newton Method for EIT/UT Dual-Modality Image Reconstruction, Sensors, 2019, 19(9): 1966. (SCI)
[16] Ren Shangjie, Soleimani Manuchehr, Xu Yaoyuan, Dong Feng*, Inclusion boundary reconstruction and sensitivity analysis in electrical impedance tomography, Inverse Problems in Science and Engineering, 2018, 26 (7): 1037-1061. (SCI)
[17] Liang Guanghui, Ren Shangjie*, Dong Feng, An augmented Lagrangian trust region method for inclusion boundary reconstruction using ultrasound/electrical dual-modality tomography, Measurement Science and Technology, 2018, 29 (7): 074008. (SCI)
[18] Ren Shangjie, Liu Hongcheng, Tan Chao, Dong Feng*, Tomographic Wire-Mesh Imaging of Water-Air Flow based on Sparse Minimization, IEEE Sensors Journal, 2017, 17 (24): 8187-8195 (SCI)
[19] Ren Shangjie, Hara Wendy, Wang Lei, Buyyounouski Mark, Le Quynh-Thu, Xing Lei, Li Ruijiang*, Robust Estimation of Electron Density From Anatomic Magnetic Resonance Imaging of the Brain Using a Unifying Multi-Atlas Approach, International Journal of Radiation Oncology, Biology, Physics, 2017, 97(4): 849-857. (SCI TOP)
[20] Liang Guanghui, Ren Shangjie*, Feng Dong, Ultrasound Guided Electrical Impedance Tomography for 2D Free-Interface Reconstruction, Measurement Science and Technology, 2017, 28(7): 074003. (SCI)
[21] Cui Yi*, Ren Shangjie, Tha Khin, Wu Jia, Shirato Hiroki, Li Ruijiang, Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma, European Radiology, 2017, 27(9): 3583-3592. (SCI)
[22] Ren Shangjie, Dong Feng*, Interface and permittivity simultaneous reconstruction in electrical capacitance tomography based on boundary and finite-elements coupling method, Philosophical Transactions of the Royal Society A Mathematical Physical & Engineering Sciences, 2016, 374(20700): 20150333. (SCI)
[23] Ren Shangjie, Zhao Jia, Dong Feng*, Dimensionality reduced simultaneous iterative reconstruction technique for electrical resistance tomography, Flow Measurement and Instrumentation, 2015, 46(B): 284-291. (SCI)
[24] Tan Chao, Ren Shangjie*, Dong Feng, Reconstruct the phase distribution within an annular channel by electrical resistance tomography, Heat Transfer Engineering, 2015, 36(12): 1053-1064. (SCI)
[25] Ren Shangjie, Dong Feng*, Xu Yaoyuan and Tan Chao, Reconstruction of the three-dimensional inclusion shapes using electrical capacitance tomography, Measurement Science and Technology, 2014, 25(2): 025403. (SCI)
[26] Ren Shangjie, Xu Yaoyuan, Tan Chao and Dong Feng*, Reconstructing the geometric configuration of three dimensional interface using electrical capacitance tomography, International Journal for Numerical Methods in Engineering, 2013, 96(10): 628–644. (SCI)
[27] Ren Shangjie, Dong Feng*, Tan Chao and Xu Yaoyuan, A boundary element approach to estimate the free surface in stratified two-phase flow, Measurement Science and Technology, 2012, 23(10): 105401. (SCI)
[28] Dong Feng*, Xu Cong, Zhang Zhiqiang, Ren Shangjie, Design of Parallel Electrical Resistance Tomography System for Measuring Multiphase Flow. Chinese Journal of Chemical Engineering, 2012, 20(2): 368-379. (SCI)
专利：
[1] 基于外部注意力机制的光学相干层析超分辨率成像方法，发明专利，专利号：2021105071624.
[2] 光学相干层析成像快速空间自适应去卷积方法，发明专利，专利号：202110181508.6.
[3] 光学相干层析成像空间自适应去卷积方法，发明专利，专利号：202110170952.8.
[4] 基于统计逆的电学/超声双模态内含物边界重建方法，发明专利，专利号：2019101272400.
[5] 基于空洞卷积网络的电阻抗图像重建方法，发明专利，专利号：201910074577X.
[6] 基于保形变换的开放式电阻抗层析成像图像重建方法，发明专利，专利号：2018112865301.
[7] 一种非均匀形状约束的像素值域滤波超声成像重建方法，发明专利，专利号：201810837811.5.
[8] 基于低秩稀疏分解的电阻抗图像重建方法，发明专利，专利号：201810849422.4.
[9] 基于几何形状约束的电阻抗层析成像内含物边界重建方法，发明专利，专利号：201810836856.0.
[10] 一种基于残差最小的电阻抗层析成像图像分割方法，发明专利，申请号：201810433712.0
[11] 用于丝网传感器的超分辨率成像方法，发明专利，专利号：ZL 201710251647.5
[12] 基于电学/超声双模态融合成像技术的层状界面重建方法，发明专利，专利号：ZL 201610866782.6
[13] 用于管道内流体过程参数检测的内外复合式阵列传感器，发明专利，专利号：ZL 201110319799.7
软件著作权登记：
[1] TERT-C5测量软件，软件著作权登记，登记号：2017SR309203.
[2] 电学超声双模态层析成像应用软件，软件著作权登记，登记号：2016SR368010.
[3] 电学层析成像系统多相流工业测试软件，软件著作权登记，登记号：2014SR013764.
[4] 过程层析成像多相流测量软件，软件著作权登记，登记号：2011SR013160.
主要讲授课程：
[1] 电路基础（本科生）
[2] 电子测量（本科生）
[3] 信号分析与处理（本科生）
[4] 电路与电子I、II（本科生）
[5] 工业标准及标准化基础（硕士\博士研究生）
[6] 工业过程测量、控制与自动化标准（硕士\博士研究生）
主要学术成就、奖励及荣誉：
[1] 2015：天津大学优秀博士学位论文
[2] 2017：“IEEE国际成像系统与技术会议（IEEE- IST）” 最佳论文奖；
[3] 2019：入选天津大学“北洋学者·青年骨干教师计划”
[4] 2020：天津大学研究生优秀在线课程 二等奖 （排名3）
