个人资料：
姓 名：董峰
职 称：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；低空技术与工程
通讯地址：710公海寰宇官网入口；26教学楼E区426室
电子信箱：mtad@tju.edu.cn
主要经历：
[1] 2017.01-今 710公海寰宇官网入口，教授，博士生导师
[2] 2010.05-2020.12 天津市过程检测与控制重点实验室，主任
[3] 2005.06-2016.12 天津大学电气与自动化工程学院，教授，博士生导师
[4] 2001.06-2005.06 天津大学电气自动化与能源工程学院，副教授，硕士生导师
[5] 1994.06-2001.06 天津大学电力及自动化工程系，讲师
[6] 1988.07-1994.06 天津大学电力及自动化工程系，助教
主要研究方向：
[1] 复杂过程检测、建模与诊断
[2] 过程在线检测与可视化技术
[3] 低空系统监测、诊断与控制
[4] 生物信息检测、处理与成像
[5] 工业自动化仪表与过程控制
主要科研项目：
[1] 2026.01-2029.12：国家自然科学基金（面上）项目：油气水多相流过程的信息化、数智建模及状态监测
[2] 2021.04-2027.06：国际合作项目（日本SMC株式会社）：流体检测超声传感器特性研究
[3] 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
[4] 2019.04-2022.03：天津市自然科学基金（重点）项目：多源信息融合的油气水多相流过程状态可视化监测
[5] 2016.10-2018.09：天津市科技创新平台建设项目：新型检测仪表研发与实验测试平台建设
[6] 2016.01-2019.12：国家自然科学基金（面上）项目：电学/超声双模态层析成像融合机理与方法
[7] 2015.04-2021.03：国际合作项目（日本SMC株式会社）：流体测试与控制技术开发
[8] 2013.10-2016.03：天津市科技创新平台建设项目：复杂流动过程多模态测试实验平台建设
[9] 2013.01-2016.12：国家自然科学基金（仪器）专项：油气水多相流过程参数可视化测试仪
[10] 2012.01-2015.12：国家自然科学基金（面上）项目：多敏感场耦合多相流测量方法研究
[11] 2011.10-2017.10：国家重大科学仪器设备开发专项：水下油气水高效分离与计量装置（SSM），任务1：多相流动可视化及参数测量系统
[12] 2011.04-2014.03：天津市应用基础及前沿技术研究计划（重点）项目：多敏感场耦合多相流测量机理、模型与系统优化研究
[13] 2010.04-2015.03：国际合作项目（日本SMC株式会社）：流体检测技术与装置开发
[14] 2008.04-2010.09：天津市应用基础及前沿技术研究计划（重点）项目：多传感器融合的油气水多相流测量系统研究
[15] 2008.01-2010.12：国家自然科学基金（面上）项目：油气水三相流多源测量信息融合及流动特性研究
[16] 2007.04-2010.03：国际合作项目（日本SMC株式会社）：气动测试装置开发
[17] 2007.01-2009.12：教育部新世纪优秀人才支持计划：基于截面检测技术的多相流流动机理研究
[18] 2006.12-2008.12：国家“863计划”项目：基于多传感器数据融合的油/气/水三相流测量
[19] 2005.04-2008.04：天津市应用基础及前沿技术研究计划项目：基于多传感器数据融合两相流量计研究
[20] 2003.01-2005.12：国家自然科学基金（面上）项目：两相管流测量的新方法
主要学术论著：
国际期刊论文：
[1] Ultrasonic characterization of dynamic gas-liquid interfacial behavior in oil-gas-water three-phase wavy flow using a multi-receiver configuration, International Journal of Multiphase Flow, 2026, Vol.204, Art. no. 105930 (20p). (DOI10.1016/j.ijmultiphaseflow.2026.105930)
[2] Ultrasonic forward modeling of industrial oil-water two-phase flow, Ultrasonics, 2026, Vol.167, Art. no. 108189 (11p). (DOI: 10.1016/j.ultras.2026.108189)
[3] A spatially up-sampled residual encoder network for structure-preserving electrical resistance tomography image reconstruction, Measurement Science and Technology, 2026, Vol.37, No.34, Art. no. 345401 (17p). (DOI: 10.1088/1361-6501/ae92a3)
[4] Time-frequency dual-mode electromagnetic sensor for gas-liquid two-phase water holdup measurement, IEEE Transactions on Instrumentation and Measurement, 2026, Vol.75, Art. no. 9528811(11p). (DOI: 10.1109/TIM.2026.3709491)
[5] PIPRC: a lightweight physics-informed pyramidal refinement and coarse-correction network for real-time high-fidelity electrical impedance tomography, Measurement Science and Technology, 2026, Vol.37, No.27, Art. no. 275403 (17p). (DOI: 10.1088/1361-6501/ae81d6)
[6] EIT tactile perception system based on adaptive current excitation and conductive sponge, Measurement Science and Technology, 2026, Vol.37, No.27, Art. no. 275101 (10p). (DOI: 10.1088/1361-6501/ae7e1e)
[7] Distribution-aware interval principal component analysis: Embedding completely asymmetric generalized Gaussian characteristics for industrial process monitoring with uncertainties, Advanced Engineering Informatics, 2026, Vol.73, Art. no. 104563 (16p). (DOI: 10.1016/j.aei.2026.104563)
[8] Adaptive gaussian width parametric level set method for hemorrhagic stroke detection using magnetic induction tomography, IEEE Transactions on Instrumentation and Measurement, 2026, Vol.75, Art. no. 4505613 (13p). (DOI: 10.1109/TIM.2026.3706188)
[9] Deep gated network with anchor-guided manifold clustering: A Targeted transfer learning framework for fault diagnosis, IEEE Transactions on Systems Man, and Cybernetics-Systems, 2026, Vol.56, No.8, 4853-4866. (DOI: 10.1109/TSMC.2026.3689114)
[10] Sparse-decoupled electrode fault diagnosis and adaptive signal recovery for electrical impedance tomography, Measurement Science and Technology, 2026, Vol.37, No.21, Art. no. 215402 (13p). (DOI: 10.1088/1361-6501/ae6d1d)
[11] Low-frequency acoustic temperature monitoring for coal powder storage in reverberant and noisy environment, IEEE Transactions on Instrumentation and Measurement, 2026, Vol.75, Art. no. 9702210 (10p). (DOI: 10.1109/TIM.2026.3687322)
[12] Edge-prioritization based multi-head attention in graph convolutional network for electrical resistance image reconstruction, Measurement Science and Technology, 2026, Vol.37, No.15, Art. no. 155408 (13p). (DOI: 10.1088/1361-6501/ae59a9)
[13] Multigrained adversarial network with hierarchical attribute causality: cross-domain open-set state monitoring for three-phase flow, IEEE Transactions on Industrial Informatics, 2026, Vol.22, No.4, 3435-3446. (DOI: 10.1109/TII.2025.3649061)
[14] Data-driven solid phase fraction estimation for liquid-solid two-phase flow using multifrequency ultrasound attenuation, Measurement Science and Technology, 2026, Vol.37, No.1, Art. no. 015301 (14p). (DOI: 10.1088/1361-6501/ae2647)
[15] Physics-guided diffusion models for 3-d reconstruction framework in lung electrical impedance tomography, IEEE Transactions on Instrumentation and Measurement, 2026, Vol.75, Art. no. 4500214 (14p). (DOI: 10.1109/TIM.2025.3643001)
[16] Adaptive recursive Gaussian mixture regression model for dynamic evolution prediction of multimode gas-water two-phase flow process, Expert Systems with Applications, 2026, Vol.296, Part C, Art. no. 129187 (18p). (DOI: 10.1016/j.eswa.2025.129187)
[17] Robust temporal-spatial synthesis projection for process monitoring under multi-factor disturbances, Control Engineering Practice, 2025, Vol.165, Art. no. 106563 (11p). (DOI: 10.1016/j.conengprac.2025.106563)
[18] Joint graphical consistency learning for simultaneous lumen and neovascularization segmentation and analyzation in intravascular optical coherence tomography, Biomedical Signal Processing and Control, 2025, Vol.110, Art. no. 108067(8p). (DOI: 10.1016/j.bspc.2025.108067)
[19] Self-attention powered graph convolution network for image reconstruction in ERT/UTT dual-modality tomography, IEEE Sensors Journal, 2025(NOV), Vol.25, No.2, pp. 41582-41593. (DOI: 10.1109/JSEN.2025.3613327)
[20] Interpretable local-global monitoring network for three-phase flow processes with concurrent analysis of independence and high-order temporal correlation, Neurocomputing, 2025, Vol.654, Art. no. 131319 (16p). (DOI: 10.1016/j.neucom.2025.131319)
[21] Joint learning of commonality and specificity dictionaries for identifying flow regime in oil-gas-water three-phase flow, IEEE Sensors Journal, 2025, Vol.25, No.16, pp. 30863-30875. (DOI: 10.1109/jsen.2025.3584830)
[22] Graph-guided partial representation-based oil–gas–water flow state monitoring via dual-modal detection, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 6505211 (11p). (DOI: 10.1109/TIM.2025.3571135)
[23] Improved stacked sparse auto encoder by adaptive shuffled shepherd optimization algorithm for ERT image reconstruction, Measurement Science and Technology, 2025, Vol.36, No.6, Art. no. 065406 (13p). (DOI: 10.1088/1361-6501/adda70)
[24] Image reconstruction of ultrasonic transmission tomography using spectral-based graph convolution network, Measurement Science and Technology, 2025, Vol.36, No.4, Art. no. 045412 (13p). (DOI: 10.1088/1361-6501/adc7cd)
[25] Robust transverse and axial flow measurement using constrained dynamic time warping and cumulative decorrelation of intravascular ultrasound signals, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 4008912 (12p). (DOI: 10.1109/TIM.2025.3565030)
[26] Flow rate measurement of oil–gas–water three-phase slug flow using pulse wave ultrasonic Doppler technique, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 7506614 (14p). (DOI: 10.1109/TIM.2025.3561390)
[27] Dynamic chest Electrical Impedance Tomography with mixed statistical shape reconstruction, Biomedical Signal Processing and Control, 2025, Vol.104, Art. no. 107533(8p). (DOI: 10.1016/j.bspc.2025.107533)
[28] Detecting droplets and bubbles in oil–gas–water three-phase medium via ultrasonic A-scan signal-assisted B-mode imaging method, Measurement Science and Technology, 2025, Vol.36, Art. no. 045301 (17p). (DOI: 10.1088/1361-6501/adb202)
[29] A robust fault diagnosis model with interval distribution analysis for industrial processes with data uncertainties, Journal of Process Control, 2025, Vol.147, Art. no. 103377(13p). (DOI: 10.1016/j.jprocont.2025.103377)
[30] Similarity-based AIC time-of-flight estimation algorithm for ultrasonic flowmeters, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 7503511 (11p). (DOI: 10.1109/TIM.2025.3547503)
[31] A preliminary study on excitation-measurement pattern in planar electrode arrays on detection of crush-induced electrical property changes, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 4504015(15p). (DOI: 10.1109/TIM.2025.3547460)
[32] Wideband ultrasound tomography system for real-time monitoring of multiphase flow, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 4502709(9p). (DOI: 10.1109/TIM.2025.3545521)
[33] Hidden Markov model combined with gated recurrent unit for global status monitoring of gas-liquid two-phase flow, IEEE Transactions on Instrumentation and Measurement, 2025, Vol.74, Art. no. 2504313(13p). (DOI: 10.1109/TIM.2025.3529070)
[34] Global-local structure analysis-based status monitoring for oil-gas-water flow, IEEE Sensors Journal, 2024, Vol.24, No.24, pp.41610-41622. (DOI: 10.1109/JSEN.2024.3487176)
[35] Elastic slow feature prototypical network for few-shot fault diagnosis of industrial processes, IEEE Sensors Journal, 2024, Vol.24, No.21, pp. 35264-35275. (DOI: 10.1109/JSEN.2024.3461731)
[36] Oil-gas-water three-phase flow pattern identification through parallel decision trees with differential pressure and ultrasonic sensors, IEEE Transactions on Instrumentation and Measurement, 2024, Vol.73, Art. no. 7508515 (15p). (DOI: 10.1109/TIM.2024.3470252)
[37] Calibration-free temperature monitoring of pulverized coal powder based on the dual-mode acoustic tomography, Powder Technology, 2024, Vol. 448, Art. no. 120220(9p). (DOI: 10.1016/j.powtec.2024.120220)
[38] Global-local state analysis and monitoring-based velocity measurement of oil-gas-water three-phase flow, Chemical Engineering Journal, 2024, Vol.497, Art. no. 154759(17p) (DOI: 10.1016/j.cej.2024.154759)
[39] Res2-UNet++: a deep learning image post-processing method for electrical resistance tomography, Measurement Science and Technology, 2024, Vol.35, No.10, Art. no. 105403(11p). (DOI: 10.1088/1361-6501/ad57e0)
[40] Joint mining of fluid knowledge and multi-sensor data for gas–water two-phase flow status monitoring and evolution analysis, Advanced Engineering Informatics, 2024, Vol.62, Part B, Art. no. 102687. (DOI: 10.1016/j.aei.2024.102687)
[41] Manifold regularized deep canonical variate analysis with interpretable attribute guidance for three-phase flow process monitoring, Expert Systems with Applications, 2024, Vol.251, Art. no. 124015(15p). (DOI: 10.1016/j.eswa.2024.124015)
[42] Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication, Journal of Process Control, 2024, Vol. 141, Art. no. 103278(15p). (DOI: 10.1016/j.jprocont.2024.103278)
[43] Adaptive statistical error modeling for electrical impedance tomography with programmable resistance network, IEEE Transactions on Instrumentation and Measurement, 2024, Vol.73, Art. no. 4507111 (11p). (DOI: 10.1109/TIM.2024.3427755)
[44] Transferable intervalization and midpoint de-mixing interval independent component analysis for industrial fault detection under data uncertainty, Measurement, 2024, Vol.236, Art. no. 115025(20p). (DOI: 10.1016/j.measurement.2024.115025)
[45] Reconstruction of metal defect images based on the sensitivity matrix of high conductivity initial estimate for eddy current tomography, Journal of Nondestructive Evaluation, 2024, Vol.43, No.2, Art. no. 51(14p). (DOI: 10.1007/s10921-024-01078-5)
[46] Zero-shot state identification of industrial gas-liquid two-phase flow via supervised deep slow and steady feature analysis, IEEE Transactions on Industrial Informatics, 2024, Vol.20, No.6, pp.8170-8180. (DOI: 10.1109/TII.2024.3367045)
[47] Graph embedding-based multilinear subspace analysis of state ensembles in gas-liquid flow, IEEE Transactions on Instrumentation and Measurement, 2024, Vol.73, Art. no. 9600312(12p). (DOI: 10.1109/TIM.2024.3384567)
[48] Generalized Gaussian distribution-based interval principal component analysis (GGD-IPCA) for anomaly detection of processes with uncertainty, IEEE Transactions on Instrumentation and Measurement, 2024, Vol.73, Art. no. 2516315(15p). (DOI: 10.1109/TIM.2024.3387924)
[49] Size, distribution and acoustic impedance quantization of bubbles and droplets using ultrasonic complex sound pressure, IEEE Sensors Journal, 2024, Vol.24, No.4, pp4628-4641. (DOI: 10.1109/JSEN.2023.3342097)
[50] Exploring electrical impedance tomography for early depth detection of pressure ulcers, IEEE Transactions on Instrumentation and Measurement, 2024, Vol.73, Art. no. 4500911 (11p). (DOI: 10.1109/TIM.2023.3334356)
[51] A priority-based adaptive firefly optimized Conv-BiLSTM algorithm for electrical resistance image reconstruction, IEEE Sensors Journal, 2024, Vol.24, No.1, pp.624-634. (DOI: 10.1109/JSEN.2023.3335321)
[52] Structural similarity driven joint reconstruction of conductivity and sound speed in EIT/UTT dual-modality tomography, Inverse Problems, 2023, Vol.39, No.10, Art. no. 105010(24p). (DOI: 10.1088/1361-6420/acf398)
[53] Combinational multi-modality tomography system for industrial multiphase flow imaging, IEEE Transactions on Instrumentation and Measurement, 2023, Vol.72, Art. no. 4506610 (10p). (DOI: 10.1109/TIM.2023.3309361)
[54] Particle size measurement of liquid-solid two-phase media using multifrequency ultrasound array, IEEE Transactions on Instrumentation and Measurement, 2023, Vol.72, Art. no. 4505810 (10p). (DOI: 10.1109/TIM.2023.3303529)
[55] Electrical resistance/capacitance dual-mode tomography based on dual-frequency response, IEEE Transactions on Instrumentation and Measurement, 2023, Vol.72, Art. no. 4505511 (11p). (DOI: 10.1109/TIM.2023.3300419)
[56] Transmission/Reflection Dual-mode Ultrasonic Tomography using Weighted Least Square-Lagrange Joint Reconstruction, IEEE Transactions on Industrial Informatics, 2023, Vol. 19, No.8, pp. 8722-8730. (DOI: 10.1109/TII.2022.3221218)
[57] Multifrequency difference magnetic induction tomography with robust independent component analysis for hemorrhage detection, IEEE Sensors Journal, 2023, Vol.23, No.14, pp. 15924-15933. (DOI: 10.1109/JSEN.2023.3282198)
[58] Concentration profile measurement of liquid–solid two-phase horizontal pipe flow using ultrasound Doppler, IEEE Transactions on Instrumentation and Measurement, 2023, Vol.72, Art. no. 7504109 (9p). (DOI: 10.1109/TIM.2023.3280504)
[59] Ultrasonic phased array process tomography system for multiphase medium imaging, IEEE Transactions on Instrumentation and Measurement, 2023, Vol.72, Art. no. 4503810(10p). (DOI: 10.1109/TIM.2023.3271756)
[60] Non-linear reconstruction for ert inverse problem based on homotopy algorithm, IEEE Sensors Journal, 2023, Vol.23, No.10, pp. 10404-10412. (DOI: 10.1109/JSEN.2023.3244175)
[61] Phase distribution measurement of liquid-solid media using multimode ultrasound, IEEE Sensors Journal, 2023, Vol.23, No.7, pp. 7483-7492. (DOI: 10.1109/JSEN.2023.3247803)
[62] Feasibility study of early pressure ulcer detection using electrical impedance tomography, IEEE Transactions on Instrumentation and Measurement, 2023, Vol.72, Art. no. 4501811(11p). (DOI: 10.1109/TIM.2023.3242003)
[63] Sparse local fisher discriminant analysis for gas-water two-phase flow status monitoring with multi-sensor signals, IEEE Transactions on Industrial Informatics, 2023, Vol.19, No.3, pp. 2886-2898. (DOI: 10.1109/TII.2022.3185077)
[64] Adaptive spatio-temporal feature extraction and analysis for horizontal gas-water two-phase flow state prediction, Chemical Engineering Science, 2023, Vol.268, Art. no. 118434(14p). (DOI: 10.1016/j.ces.2022.118434)
[65] Online rheological measurement of dilute liquid-solid two-phase flow with ultrasound Doppler technique, Flow Measurement and Instrumentation, 2023, Vol.90, Art. no. 102326(10p). (DOI: 10.1016/j.flowmeasinst.2023.102326)
[66] Space-constrained optimized Tikhonov regularization method for 3D hemorrhage reconstruction by open magnetic induction tomography, Physics in Medicine & Biology, 2022, Vol.67, No.22, Art. no. 225012(17p). (DOI: 10.1088/1361-6560/ac9e42)
[67] A flexible image-guided shape reconstruction framework for electrical impedance tomography, IEEE Transactions on Instrumentation and Measurement, 2022, Vol.71, Art. no. 1008413(13p). (DOI: 10.1109/TIM.2022.3218515)
[68] Case-specific focal sensor design for cardiac electrical impedance tomography, Sensors, 2022, Vol.22, No.22, Art. no. 8698(15p). (DOI: 10.3390/s22228698)
[69] Spatial and temporal regularized iterative deep neural network for non-stationary image reconstruction of electrical impedance tomography, IEEE Transactions on Instrumentation and Measurement, 2022, Vol.71, Art. no. 2518911(11p). (DOI: 10.1109/TIM.2022.3209751)
[70] Liquid-solid two-phase flow rate measurement by electrical and ultrasound Doppler sensors, IEEE Transactions on Instrumentation and Measurement, 2022, Vol.71, Art. no. 7504609(9p). (DOI: 10.1109/TIM.2022.3204079)
[71] Dynamic imaging for time-varying distribution using electrical/ultrasonic dual-modality tomography, IEEE Transactions on Instrumentation and Measurement, 2022, Vol.71, Art. no. 4504613(13p). (DOI 10.1109/TIM.2022.3191651)
[72] Multi-frequency ultrasound tomography based on modified matrix regularization method and wavelet fusionwavelet fusion, Measurement Science and Technology, 2022, Vol.33, No.8, Art. no. 084008(11p). (DOI: 10.1088/1361-6501/ac6e2d)
[73] Spatially adaptive blind deconvolution methods for optical coherence tomography, Computers in Biology and Medicine, 2022, Vol.147, Art. no. 105650(11p). (DOI: 10.1016/j.compbiomed.2022.105650)
[74] Tomographic pulse wave ultrasonic Doppler method for cross-sectional velocity distribution imaging of dispersed oil-water two-phase flow, Experiments in Fluids, 2022, Vol.63, No.4, Art. no. 73(15p). (DOI: 10.1007/s00348-022-03408-7)
[75] Self-attentional microvessel segmentation via squeeze-excitation transformer Unet, Computerized Medical Imaging and Graphics, 2022, Vol.97, Art. no. 102055(11p) (DOI: 10.1016/j.compmedimag.2022.102055)
[76] Oil-water two-phase flow volume fraction measurement based on nonlinear ultrasound technique, IEEE Transactions on Instrumentation and Measurement, 2022, Vol.71, Art. no. 7502109(9p). (DOI: 10.1109/TIM.2022.3157368)
[77] Sequential dynamic aperture focusing strategy for transmissive ultrasonic phase array tomography, IEEE Transactions on Industrial Electronics, 2022, Vol.69, No.12, pp.13706-13715. (DOI: 10.1109/TIE.2022.3146616)
[78] Intracranial hemorrhage detection by open MIT sensor array, IEEE Transactions on Instrumentation and Measurement, 2022, Vol.71, Art. no. 4500611(11p). (DOI: 10.1109/TIM.2022.3141146)
[79] Finite-element modeling of tissue responses to focused ultrasound with different intensities, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.71, Art. no. 4501610(11p). (DOI: 10.1109/TIM.2021.3138108)
[80] Multifrequency weighted difference magnetic induction tomography for intracranial hemorrhage detection, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.71, Art. no. 4501209(9p). (DOI: 10.1109/TIM.2021.3137539)
[81] ‘4.5. Ultrasound imaging: beyond conventional imaging and processing techniques’ in the Roadmap on signal processing for next generation measurement systems, Measurement Science and Technology, 2022, Vol.33, No.1, Art. no. 012002 (pp.22-24 in all 48). (DOI: 10.1088/1361-6501/ac2dbd)
[82] Flow rate measurement of oil-gas-water wavy flow through a combined electrical and ultrasonic sensor, Chemical Engineering Journal, 2022, Vol.427, Art. no. 131982(16p). (DOI: 10.1016/j.cej.2021.131982)
[83] Horizontal oil-water two-phase flow characterization and identification with pulse-wave ultrasonic doppler technique, Chemical Engineering Science, 2021, Vol.246, Art. no. 117015(16p). (DOI: 10.1016/j.ces.2021.117015)
[84] Ultrasonic doppler technique for applications in multiphase flow: A review, International Journal of Multiphase Flow, International Journal of Multiphase Flow, 2021, Vol.144, Art. no. 103811(24p). (DOI: 10.1016/j.ijmultiphaseflow.2021.103811)
[85] Oil fraction measurement of nonuniform dispersed oil-water two-phase flow based on ultrasonic attenuation, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.70, Art. no. 7504213(13p). (DOI: 10.1109/TIM.2021.3117069)
[86] Imaging depth adaptive resolution enhancement for optical coherence tomography via deep neural network with external attention, Physics in Medicine and Biology, 2021, Vol.66, No.19, Art. no. 195006(13p.) (DOI: 10.1088/1361-6560/ac2267)
[87] Coplanar electrical/ultrasonic dual-modality tomography for water continuous gas/oil/water three-phase distribution imaging, Measurement Science and Technology, 2021, Vol.32, No.12, Art. no. 124004(10p). (DOI: 10.1088/1361-6501/ac1e39)
[88] Computational focusing sensor: Enhancing spatial resolution of electrical impedance tomography in region of interest, IEEE Sensors Journal, 2021, Vol.21, No.17, pp.19101-19111. (DOI: 10.1109/JSEN.2021.3088881)
[89] RCRC: A deep neural network for dynamic image reconstruction of electrical impedance tomography, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.70, Art. no. 4505311 (11p). (DOI: 10.1109/TIM.2021.3092061)
[90] A modular magnetic induction tomography system for low-conductivity medium imaging, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.70, Art. no. 9508708(8p). (DOI: 10.1109/TIM.2021.3073439)
[91] Gas-liquid two-phase flow interface reconstruction with a sparse batch normalization convolutional neural network, IEEE Sensors Journal, 2021, Vol.21, No.15, pp.17076-17084. (DOI: 10.1109/JSEN.2021.3081432)
[92] Flow regimes identification based multi-domain features for gas-liquid two-phase flow in horizontal pipe, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.70, Art. no. 7502911(11p). (DOI: 10.1109/TIM.2021.3089767)
[93] Conductance sensors for multiphase flow measurement: A review, IEEE Sensors Journal, 2021, Vol.21, No.11, pp.12913-12925. (DOI: 10.1109/JSEN.2020.3042206)
[94] Ultrasound phase array tomography for biphasic medium distribution imaging using synthetic aperture beam scanning, IEEE Transactions on Instrumentation and Measurement, 2021, Vol.70, Art. no. 4504012(12p). (DOI: 10.1109/TIM.2021.3072692)
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[16] 油水两相超声成像修正路径追踪重建方法，工程热物理学报，2020，Vol.41，No.10，pp.2466-2472.
[17] 自适应阈值收缩算子的稀疏正则化图像重建算法，中国科学院大学学报，2020（MAR），Vol.37，No 2，pp.242-247.
[18] 高斯回归预测重建的高分辨率超声成像，中国科学院大学学报，2020，Vol.37，No 2，pp.234-241.
[19] 基于超声多普勒与电导环的油水两相流速测量，北京航空航天大学学报，2019，Vol.45，No.8，pp.1536-1543.
[20] 全连接深度网络的电学层析成像算法，工程热物理学报，2019，Vol.40，No.7，pp.1526-1531.
[21] 油水两相流中油相流量的测量，控制工程，2018，Vol.25，No.9，pp.1698-1702.
[22] 超声衰减法测量油水分散流中颗粒粒度分布，工程热物理学报，2018，Vol.39，No.4，pp.806-810.
[23] 油水两相流超声测试机理仿真建模，中南大学学报，2018，Vol.49，No.4，pp.987-994.
[24] 超声多普勒谱修正的油水两相流流速测量，机械工程学报，2017，Vol.53，No.24，pp.77-84.
[25] 工业总线标准电容层析成像系统设计，北京航空航天大学学报，2017，Vol.43，No.11，pp.2338-2344.
[26] 多激励频率模式的磁感应层析成像系统，北京航空航天大学学报，2017，Vol.43，No.11，pp.2331-2337.
[27] 油水分散流超声互相关流速测量方法，工程热物理学报，2017，Vol.38，No.3，pp.562-567.
[28] ERT/UTT双模态传感器尺寸优化仿真研究，北京航空航天大学学报，2017，Vol.43，No.2，pp.388-394.
[29] 电容电导传感器油水两相流含率测量，中国科学院大学学报，2017，Vol.34，No.2，pp.113-119.
[30] 基于截面电导信息的油水两相流相含率估计，天津大学学报，2016，Vol.49，No.11，pp.1121-1126.
[31] 具有高速远程通讯功能的工业ERT系统设计，传感器与微系统，2016，Vol.35，No.10，pp.93-96.
[32] 超声多普勒水连续油水分散流流速测量方法，工程热物理学报，2016，Vol.37，No.4，pp.775-779.
[33] 基于阻抗特性分析的电磁层析成像传感器优化，传感器与微系统，2016，Vol.35，No.3，pp.49-52.
[34] 集中式电动汽车电池管理系统设计，电子测量与仪器学报，2015，Vol.29，No.7，pp.1019-1027.
[35] 油水两相流含水率测量组合传感器，工程热物理学报，2015，Vol.36，No.7，pp.1487-1491.
[36] 基于多频带谱熵的水平气液两相流结构复杂性分析，仪器仪表学报，2015，Vol.36，No.5，pp.1138-1146.
[37] 用于电阻层析成像的快速自适应硬阈值算法，天津大学学报（自然科学版），2015，Vol.48，No.4，pp.305-310.
[38] 油水两相流超声波衰减测试方法研究，中南大学学报（自然科学版），2015，Vol.47，No.2，pp.647-653.
[39] 基于神经网络的建筑结构损伤识别方法，控制工程，2015，Vol.22，No.2，pp.287-290.
[40] 多模态流动成像技术研究进展，仪器仪表学报，2015，Vol.36，No.2，pp.241-253.
[41] 水平管道油气水三相流含水率测量，传感器与微系统，2015，Vol.34，No.1，pp.135-137.
[42] 非完整ERT数据的两相层状流分布图像重建，仪器仪表学报，2014，Vol.35，No.11，pp.2574-2581.
[43] 基于卡尔曼估计融合算法的油水两相流测量，天津大学学报（自然科学版），2014，Vol.47，No.10，pp.903-908.
[44] 气液两相流含气率超声测试方法研究，仪器仪表学报，2014，Vol.35，No.9，pp.2094-2101.
[45] 被测物场空间分布对电磁测量系统相位检测的影响分析，中国电机工程学报，2014，Vol.34，No.20，pp.3362-3368.
[46] 基于边界元与有限元耦合的ERT图像重建算法，工程热物理学报，2014，Vol.35，No.5，pp.902-905.
[47] 基于边界元方法的两相层状流相界面重建，工程热物理学报，2013，Vol.34，No.12，pp.2295-2298.
[48] 多相流过程参数检测技术综述，自动化学报，2013，Vol.39，No. 11，pp.1923-1932.
[49] 长腰内锥流量计的特性研究，工程热物理学报，2012，Vol.33，No.9，pp.1539-1542.
[50] 基于弧状电极传感器的气/水两相流参数测量系统设计，传感器与微系统，2012，Vol.31，No.3，pp.122-125.
[51] 内锥式流量计数值模拟及优化设计，工程热物理学报，2011，Vol.32，No.7，pp.1165-1168.
[52] 电磁层析成像系统敏感场激励特性仿真研究，中国电机工程学报，2011，Vol.31，No.8，pp.73-79.
[53] 基于V型内锥与电导环的油水两相流参数测量，仪器仪表学报，2010，Vol.31，No.11，pp.2561-2567.
[54] 基于PXI的截面电阻信息检测系统设计，工程热物理学报，2010，Vol.31，No.11，pp.1863-1866.
[55] 用于气液两相流测量的正弦电流激励源的设计，电源技术，2010，Vol.34，No.7，pp.687-690.
[56] 两相流测量中环形电导传感器特性研究，中国电机工程学报，2010，Vol.30，No.17，pp.62-66.
[57] 用于气水两相流流型识别的ERT信息融合方法，工程热物理学报，2010，Vol.31，No.5，pp.785-788.
[58] 气液两相流中上升气泡体积的计算方法，仪器仪表学报，2009，Vol.30，No.11，pp.2444-2449.
[59] 应用多传感器时间融合的塞状流测量研究，工程热物理学报，2009，Vol.30，No.10，pp.1685-1688.
[60] 小波神经网络在油水两相流软测量中的应用，天津大学学报（自然科学版），2009，Vol.42，No.9，pp.808-812.
[61] 油水两相流质量流量小波网络软测量模型研究，工程热物理学报，2009，Vol.30，No.5，pp.807-810.
[62] 基于AD7366/AD7367的高速数据采集模块设计，电子技术应用，2008，Vol.34，No.12 ，pp.89-91+94.
[63] 基于V型内锥流量计测量气/水两相流的研究，工程热物理学报，2007，Vol.28，No.S1，pp.205-208.
[64] 电阻层析成像技术在两相流测量中的应用，工程热物理学报，2006，Vol.27，No.5，pp.791-795.
[65] 应用电阻层系成像技术测量垂直管道气/液两相流分相含率，天津大学学报（自然科学版），2004，Vol.37，No.6，pp.510-514.
[66] 基于ERT技术的垂直管道流型识别，仪器仪表学报，2004，Vol.25，No.4，pp.457-461.
[67] 电阻层析成像技术测量两相流气相流量，化工自动化及仪表，2004，Vol.31，No.2，pp.52-54.
[68] 非牛顿液体粘度的在线测量方法，天津大学学报，2003，Vol.36，No.2，pp.169-173.
[69] 基于多电极电磁流量计的流速场重建，自然科学进展，2002，Vol.12，No.5，pp.524-528.
[70] 电阻层析成像技术在两相管流测量中的应用，化工自动化及仪表，2001，Vol.28，No.6，pp.50-54.
[71] 提高电阻层析成像实时性能的研究，天津大学学报（自然科学版），2001，Vol.34，No.4，pp.467-471.
[72] 电磁层析成像技术图像重建的仿真研究，天津大学学报（自然科学版），2001，Vol.34，No.4，pp.435-438.
[73] 迭代法求矩阵广义逆的ERT图像重建算法，自然科学进展，2001，Vol.11, No.4，pp.409-414.
[74] 脉动气流对孔板流量计示值影响的实验研究，计量学报，2001，Vol.22.，No.1，pp.46-51.
[75] 用孔板流量计测量脉动气流，天津大学学报（自然科学版），2000，Vol.33，No.5，pp.569-573.
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学术专著：
[1] 多相流超声检测技术，北京：科学技术出版社，2025.06
[2] Chapter19 ‘Applications of tomography in multiphase transportation’ in the Industrial Tomography Systems and Applications (Second Edition), Editor: Mi Wang, Woodhead Publishing Limited. 2022.05.
[3] ‘Sensor Instrumentation for Flow Measurement’ in the Encyclopedia of Sensors and Biosensors, Reference Module in Biomedical Sciences, 2021.08. (DOI: 10.1016/B978-0-12-822548-6.00074-1) Elsevier Reference Collection in Biomedical Sciences, Elsevier Inc.
发明专利：
[1] 一种基于后置注意力神经网络的四足机器人运动控制方法，中国，发明专利，专利号：ZL 202310872123.3
[2] 线性调频超声的多相流离散相速度与位置分布测量方法，中国，发明专利，专利号：ZL 202511222623.8
[3] 一种小管径氢回路湿气流量测量方法，中国，发明专利，专利号：ZL 202311609811.7
[4] 一种基于鲁棒时空联合投影的工业过程状态监测方法，中国，发明专利，专利号：ZL 202510853744.6
[5] 血管内外图像血管中心线两阶段配准方法和系统，中国，发明专利，专利号：ZL 202310435189.6
[6] 基于图模型匹配的冠脉三维重建方法，中国，发明专利，专利号：ZL 202310435185.8
[7] 聚焦式心脏电阻抗成像方法，中国，发明专利，专利号：ZL 202211371591.4
[8] 一种基于时频域电磁法的金属管道缺陷检测方法，中国，发明专利，专利号：ZL 202510039654.3
[9] 基于波形相似的赤池信息准则渡越时间估计算法，中国，发明专利，专利号：ZL 202411037929.1
[10] 一种多模式超声的油气水三相流流型辨识方法，中国，发明专利，专利号：ZL 202411825739.6
[11] 检测油-气-水三相介质中的液滴和气泡的超声成像方法，中国，发明专利，专利号：ZL 202510129268.3
[12] 超声层析成像并行收发与解调方法，中国，发明专利，专利号：ZL 202310551903.8
[13] 一种声电双模态融合的液固两相流量测量方法，中国，发明专利，专利号：ZL 202210451759.6
[14] 基于先验降维卡尔曼滤波的电学层析成像动态图像重建方法，中国，发明专利，专利号：ZL 202210108991.X
[15] 基于卡尔曼滤波的超声层析成像动态图像重建方法，中国，发明专利，专利号：ZL 202210104339.0
[16] 基于典型变量波动分析的卫星动量轮轴承健康评估方法，中国，发明专利，专利号：ZL 202410292461.4
[17] 一种用于透射衰减超声层析成像的幅值提取方法，中国，发明专利，专利号：ZL 202210394751.0
[18] 基于非线性超声的油水两相流相含率测量方法，中国，发明专利，专利号：ZL 202210108985.4
[19] 基于外部注意力机制的光学相干层析超分辨率成像方法，中国，发明专利，专利号：ZL 202110507162.4
[20] 光学相干层析成像快速空间自适应去卷积方法，中国，发明专利，专利号：ZL 202110181508.6
[21] 光学相干层析成像空间自适应去卷积方法，中国，发明专利，专利号：ZL 202110170952.8
[22] 一种用于分散相含率检测的扫频超声衰减测量方法，中国，发明专利，专利号：ZL 202010802414.1
[23] 油气水三相介质衰减谱融合多频超声层析成像方法，中国，发明专利，专利号：ZL 202010893091.1
[24] 基于空洞卷积网络的电阻抗图像重建方法，中国，发明专利，专利号：ZL 201910074577.X
[25] 基于低秩稀疏分解的电阻抗图像重建方法，中国，发明专利，专利号：ZL 201810849422.4
[26] 信息流与梯度流增强的深度V型密集网络成像方法，中国，发明专利，专利号：ZL 201910798706.X
[27] 总变差正则化约束的超声成像同步代数迭代重建方法，中国，发明专利，专利号：ZL 201811287534.1
[28] 正则化加权最小二乘的透射反射双模式超声层析成像重建方法，中国，发明专利，专利号：ZL 201910854620.4
[29] 收缩系数改进Tikhonov正则化参数的电阻层析成像算法，中国，发明专利，专利号：ZL 201910467601.6
[30] 基于多物理场耦合的超声弹性成像仿真方法，中国，发明专利，专利号：ZL 201910467054.1
[31] 基于灵敏度矩阵优化的电学层析成像正则化重建方法，中国，发明专利，专利号：ZL 201910403259.3
[32] V-Net深度成像方法，中国，发明专利，专利号：ZL 201811411535.2
[33] 基于卷积神经网络的电学层析成像图像重建方法，中国，发明专利，专利号：ZL 201811183924.4
[34] L1-L2空间自适应电学层析成像正则化重建方法，中国，发明专利，专利号：ZL 201810528437.0
[35] 超声反射信息约束的腹部病变电阻抗图像重建方法，中国，发明专利，专利号：ZL 201811216126.7
[36] 一种用于管道内超声相控阵成像的声束偏转时延控制方法，中国，发明专利，专利号：ZL 201911244568.7
[37] 一种用于管道内超声相控阵成像的声束聚焦时延控制方法，中国，发明专利，专利号：ZL 201911244567.2
[38] 一种非均匀形状约束的像素值域滤波超声成像重建方法，中国，发明专利，专利号：ZL 201810837811.5
[39] 多模式可配置宽频超声层析成像系统，中国，发明专利，专利号：ZL 202110263018.0
[40] 基于多视角冠状动脉造影序列图像的血管分割方法及系统，中国，发明专利，专利号：ZL 202210807307.7
[41] 基于自注意力机制和卷积神经网络混合模型的血管分割方法，中国，发明专利，专利号：ZL 202111177309.4
[42] 一种气液两相流流动状态监测和预测方法，中国，发明专利，专利号：ZL 202110736910.6
[43] 多模态动态核分析的气液两相流状态监测方法，中国，发明专利，专利号：ZL 202110879865.X
[44] 基于多频加权频差的多介质分离成像方法，中国，发明专利，专利号：ZL 201911091275.X
[45] 基于灰度加权的IVOCT图像导丝伪影去除方法，中国，发明专利，专利号：ZL 202110735996.0
[46] 多传感器信息核规范变量分析的气液两相流状态监测方法，中国，发明专利，专利号：ZL 202110750984.5
[47] 基于位移衰减特性的声辐射力脉冲弹性成像方法，中国，发明专利，专利号：ZL 201911091301.9
[48] 血管内光学相干层析成像两级导管伪影去除方法，中国，发明专利，专利号：ZL 202110715058.4
[49] 电学/超声信息融合的双模态层析成像方法，中国，发明专利，专利号：ZL 201910786495.8
[50] 基于CPCI总线的可扩展的多模态层析成像系统，中国，发明专利，专利号：ZL 201811071399.7
[51] 基于幅值调制的声辐射力脉冲激励方法，中国，发明专利，专利号：ZL 201910403249.X
[52] 电学谱表征的自适应宽频电阻抗层析成像方法，中国，发明专利，专利号：ZL 201810350517.1
[53] 利用声阻抗变化信息的介质分界面超声检测方法，中国，发明专利，专利号：ZL 201910359459.3
[54] 透射反射模态融合的超声层析成像方法，中国，发明专利，专利号：ZL 201910009921.7
[55] 基于聚焦超声声振信号的弹性成像方法，中国，发明专利，专利号：ZL 201910147428.1
[56] 基于聚焦超声声振信号的弹性特性检测方法，中国，发明专利，专利号：ZL 201910147443.6
[57] 基于统计逆的电学/超声双模态内含物边界重建方法，中国，发明专利，专利号：ZL 201910127240.0
[58] 一种基于残差最小的电阻抗层析成像图像分割方法，中国，发明专利，专利号：ZL 201810433712.0
[59] 修正路径追踪描述的连续波超声层析成像重建方法，中国，发明专利，专利号：ZL 201910195283.2，
[60] 可扩展的多模态层析成像系统，中国，发明专利，专利号：201811071494.7
[61] 一种多模态层析成像控制方法，中国，发明专利，专利号：ZL 201811071460.8
[62] 超声平面波扫描式多相流可视化测量装置，中国，发明专利，专利号：ZL 201810054220.0
[63] 用于脑出血检测的多频电磁层析成像方法，中国，发明专利，专利号：ZL 201611031436.2
[64] 基于传播路径网格剖分的超声透射模式层析成像方法，专利号：ZL 201711489380.X
[65] 基于声电效应与声辐射力的生物组织多特性成像方法，中国，发明专利，专利号：ZL 201710623678.9
[66] 油气水三相流分相流速声电双模态测量方法，中国，发明专利，专利号：ZL 201810990581.6
[67] 两相流过程参数的声电双模态融合测量方法，中国，发明专利，专利号：ZL 201710293968.1，
[68] 抑制组织间互感耦合作用的多频电磁层析成像方法，中国，发明专利，专利号：ZL 201710090241.3
[69] 基于超声脉冲多普勒与电学多传感器的两相流流速测量方法，中国，发明专利，专利号：ZL 201710719602.6
[70] 应用匹配追踪的层析成像重建方法，中国，发明专利，专利号：ZL 201710333914.3
[71] 基于数据融合的两相流流型识别方法，中国，发明专利，专利号：ZL 201711239764.6
[72] 超声多普勒多相流流速分布检测设备，中国，发明专利，专利号：ZL 201710191680.3
[73] 油气水三相塞状分散流流速测量方法，中国，发明专利，专利号：ZL 201710166489.3
[74] 气液弹状流结构流速声电双模态测量方法，中国，发明专利，专利号：ZL 201710638226.8
[75] 基于建立标准值的声电成像方法，中国，发明专利，专利号：ZL 201710104553.5
[76] 气液两相弹状流和塞状流流速声电双模态测量方法，中国，发明专利，专利号：ZL 201710109307.9
[77] 用于丝网传感器的超分辨率成像方法，中国，发明专利，专利号：ZL 201710251647.5
[78] 基于邻点变差和的电学层析成像正则化重建方法，中国，发明专利，专利号：ZL 201710470024.7
[79] 两相流含水率自适应串联估计方法，中国，发明专利，专利号：ZL 201710029359.5
[80] 气液两相泡状流流速声电双模态测量方法，中国，发明专利，专利号：ZL 201710110230.7
[81] 连续波超声多普勒谱修正的两相流流速测量方法，中国，发明专利，专利号：ZL 201611097460.6
[82] 一种基于Firm阈值迭代的电学层析成像稀疏重建方法，中国，发明专利，专利号：ZL 201610866927.2
[83] 两相流相含率超声回波测量方法，中国，发明专利，专利号：ZL 201610577470.3
[84] 油水两相流含水率自适应估计方法，中国，发明专利，专利号：ZL 201610705211.4
[85] 基于超声衰减机理模型的油水两相流相含率测量方法，中国，发明专利，专利号：ZL 201610519665.2
[86] 基于电学/超声双模态融合成像技术的层状界面重建方法，中国，发明专利，专利号：ZL 201610866782.6
[87] 一种用于生物电阻抗成像的激励电流源，中国，发明专利，专利号：ZL 201610134435.4
[88] 两相流含水率的自适应估计方法，中国，发明专利，专利号：ZL 201610300174.9
[89] 两相流速声电双模态测量方法，中国，发明专利，专利号：ZL 201510493431.0
[90] 两相流分相流速声电双模态测量方法，中国，发明专利，专利号：ZL 201510263691.9
[91] 基于电磁涡流检测的两相流相含率测量方法，中国，发明专利，专利号：ZL 201510188815.1
[92] 一种基于曲率计算的改进L曲线电学层析成像重建方法，中国，发明专利，专利号：ZL 201510021945.6
[93] 基于声电效应的三维功率密度成像方法，中国，发明专利，专利号：ZL 201510084487.0
[94] 基于p向量等比收缩的电学层析成像Lp正则化重建方法，中国，发明专利，专利号：ZL 201510084550.0
[95] 基于p向量等差下降的电学层析成像Lp正则化重建方法，中国，发明专利，专利号：ZL 201510084393.3
[96] 基于声电效应的功率密度成像方法，中国，发明专利，专利号：ZL 201510084606.2
[97] 一种基于二阶微分的修正L曲线电学层析成像重建方法，中国，发明专利，专利号：ZL 201510022756.0
[98] 基于超声与电学多传感器互相关测速的多相流测试方法，中国，发明专利，专利号：ZL 201410328238.7
[99] 基于超声聚焦扰动信息构建灵敏度矩阵法，中国，发明专利，专利号：ZL 201510083590.3
[100] 基于电学与超声敏感原理的多相流可视化测试方法，中国，发明专利，专利号：ZL 201410328237.2
计算机软件著作权：
[1] 海上井下电液参数监测与控制软件，软件著作权登记，登记号：2026SR0195031，登记证书号：软著登字第17409312号。
[2] TEIT-挤压伤检测软件（TEIT-INJURY），软件著作权登记，登记号：2024SR0834228，登记证书号：软著登字第13238101号
[3] 电阻层析成像应用软件（ERTAPS），软件著作权登记，登记号：2023SR0871886，登记证书号：软著登字第11459057号
[4] TEIT-压疮检测软件（TEIT-ULCER），软件著作权登记，登记号：2021SR0752041，登记证书号：软著登字第7474667号
[5] TERT-C5测量软件（TERT-C5 ToolSuit），软件著作权登记，登记号：2017SR309203，登记证书号：软著登字第1894487号
[6] 电学超声双模态层析成像应用软件（EUT Application），软件著作权登记，登记号：2016SR368010，登记证书号：软著登字第1546626号
[7] 电学层析成像系统多相流工业测试软件（ET-MPFIM Software），软件著作权登记，登记号：2014SR013764，登记证书号：软著登字第0683008号
[8] 过程层析成像多相流测量软件（PTS-MFM ToolSuite），软件著作权登记，登记号：2011SR013160，登记证书号：软著登字第0276834号
参编国家标准
[1] GB/T 37085.308-2025工业通信网络 行规 第3-8部分：CC-Link系列功能安全通信行规；发布日期：2025-06-30
[2] GB/T 32235.2-2024 工业过程测量、控制和自动化 数字工厂框架 第2部分：模型元素；发布日期：2024-08-23
[3] GB/T 32235.1-2024 工业过程测量、控制和自动化 数字工厂框架 第1部分：通用要求；发布日期：2024-08-23
[4] GB/T 20818.21-2020 工业过程测量和控制 过程设备目录中的数据结构和元素 第21部分：自动阀电子数据交换用属性列表（LOP）通用结构；发布日期：2020-09-29
[5] GB/T 20818.12-2020 工业过程测量和控制 过程设备目录中的数据结构和元素 第12部分：流量测量设备电子数据交换用属性列表（LOPs）；发布日期：2020-09-29
[6] GB/T 38845-2020 智能仪器仪表的数据描述 定位器；发布日期：2020-07-21
[7] GB/T 38843-2020 智能仪器仪表的数据描述 执行机构；发布日期：2020-06-02
[8] GB/T 33537.3-2017 工业通信网络现场总线规范类型23: CC-Link IE规范 第3部分：CC-Link IE通信行规；发布日期：2017-02-28
[9] GB/T 33537.2-2017 工业通信网络现场总线规范类型23: CC-Link IE规范 第2部分：应用层协议规范；发布日期：2017-02-28
[10] GB/T 33537.1-2017 工业通信网络现场总线规范类型23: CC-Link IE规范 第1部分：应用层服务定义；发布日期：2017-02-28
主要讲授课程：
本科生课程：过程控制系统；计算机控制系统；自动检测技术；模式识别基础
研究生课程：学术研究与国际交流方法（硕士、博士）；工业标准及标准化基础（硕士、博士）；多传感器融合（硕士）；多传感器数据融合（博士）；工业过程测量、控制与自动化标准（硕士、博士）
主要学术成就、奖励及荣誉：
[1] 2025年：天津市优秀研究生指导教师
[2] 2022年：“智能制造测控设备语义描述与数据字典技术及应用”，获中国仪器仪表学会科技进步二等奖
[3] 2022年：指导的博士学位论文《油气水多相流超声多普勒测量方法研究》，被评为天津大学优秀博士学位论文
[4] 2021年：指导的博士学位论文《电学/超声双模态融合成像方法研究》，被评为天津大学优秀博士学位论文
[5] 2021年至今：入选全球前2%顶尖科学家“终身科学影响力排行榜”
[6] 2020年至今：入选全球前2%顶尖科学家“年度科学影响力排行榜”
[7] 2019年：天津市工程专业学位优秀指导教师
[8] 2019年：指导的博士学位论文《基于超声调制的电阻抗层析成像技术研究》，被评为中国仪器仪表学会测量控制与仪器仪表领域全国优秀博士论文
[9] 2016年：天津大学“优秀共产党员”
[10] 2015年：指导的博士学位论文《电学层析成像形状重建方法研究》，被评为天津大学优秀博士学位论文
[11] 2015年：指导的硕士学位论文《基于三维椭球模型的气水泡状流运动特性研究》，被评为天津市优秀硕士学位论文
[12] 2013年：指导的博士学位论文《基于多传感器融合的两相流参数测量方法》，被评为天津市优秀博士学位论文
[13] 2012年：天津市教育系统“教工先锋岗”先进个人
[14] 2012年至今：受邀在国际、国内学术会议做邀请学术报告20余次
[15] 2010年：“两相流过程截面检测信息提取研究”，获天津市自然科学三等奖
[16] 2010年至今：受邀在国内外大学、研究机构做学术报告、讲座20余次
[17] 2008年至今：获国际、国内学术会议最佳论文奖（Best Paper Award）、优秀论文奖20余次
[18] 2007年至今：多次指导本科生、研究生参加全国科技竞赛获得一等奖和二等奖
[19] 2007年：教育部“新世纪优秀人才计划”
[20] 2003年：天津大学“优秀共产党员”
[21] 2003年：“过程层析成像技术及其应用的研究”，获中国仪器仪表学会科学技术创新奖
[22] 2002年：“基于电学敏感原理的过程层析成像技术研究”，获天津市自然科学二等奖
[23] 2001年至今：多次获得天津大学本科毕业设计优秀指导教师
[24] 1995年：天津大学第一届“十佳杰出青年”
社会兼职：
[1] 中国仪器仪表学会理事
[2] 中国计量测试学会理事，多相流测试专业委员会副主任
[3] 全国工业过程测量控制和自动化标准化技术委员会（SAC/TC124）委员
[4] 全国标准化教育标准化技术委员会（SAC/TC623）委员
[5] 天津市自动化学会常务理事，过程控制专业委员会主任
[6] 天津市仪器仪表学会理事
[7] IEEE Senior Member
[8] 《Flow Measurement and Instrumentation》Editorial Advisory Board Member
[9] 《中国大百科全书（控制科学与工程卷）》（第三版）副主编
[10] 《自动化学报》编委
[11] 《仪器仪表用户》编委会主任
[12] 作为会议主席、会议组织委员会主席，会议国际科学委员会（ISC）、组织委员会（IOC）、技术委员会（ITC）、程序委员会（IPC）成员，参与组织国际、国内学术会议50余次。
