个人简介

陶阳，国家级青年人才（海外）。先后于天津大学获工学与文学双学士学位、工学硕士学位，并于英国曼彻斯特大学获哲学博士学位。毕业后，在英国曼彻斯特大学电磁感知研究中心从事博士后研究，随后加入全球精密工业金属检测设备龙头企业梅特勒托利多Safeline公司，担任核心研发要职。他先后主持 5 项前沿理论与产品转化项目，发表 SCI 论文 23 篇，核心技术获得 4 项国内外专利授权，成果荣获梅特勒托利多创新奖。

在电磁无损检测领域，他拥有逾十年的系统性研究积淀，长期聚焦电磁感知理论前沿与智能传感技术，致力于攻克复杂工业环境下高精度电磁感知与智能传感的瓶颈问题。在宽带同步多频的数字化精密工业金属检测技术体系、物理嵌入的工业金属检测基础大模型、以及云-边-端一体化智能工业金属检测物联网架构等关键方向上取得了一系列国际领先水平的学术与技术成果。

研究方向

(1) 电磁无损检测

(2) 工业人工智能

(3) 电磁理论与计算

(4) 智能仪器仪表

代表论文                                    

[1] Y. Tao, C. Ktistis, Y. Zhao, W. Yin*, and A. J. Peyton, ‘A Class D Power Amplifier for Multifrequency Eddy Current Testing Based on Multisimultaneous-Frequency Selective Harmonic Elimination Pulsewidth Modulation’, IEEE Transactions on Industrial Electronics, vol. 67, no. 10, pp. 8799–8807, Oct. 2020.

[2] T. Meng, Y. Tao*, Z. Chen, J. R. S. Avila, Q. Ran, Y. Shao, R. Huang, Y. Xie, Q. Zhao, Z. Zhang, H. Yin, A. J. Peyton, and W. Yin, ‘Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks’, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1–13, 2021.

[3] L. Yin, B. Ye, Z. Zhang, Y. Tao*, H. Xu, J. R. S. Avila, W. Yin, ‘A novel feature extraction method of eddy current testing for defect detection based on machine learning’, NDT & E International, vol. 107, p. 102108, Oct. 2019.

[4] Y. Tao, W. Yin*, W. Zhang, Y. Zhao, C. Ktistis, and A. J. Peyton, ‘A Very-Low-Frequency Electromagnetic Inductive Sensor System for Workpiece Recognition Using the Magnetic Polarizability Tensor’, IEEE Sensors Journal, vol. 17, no. 9, pp. 2703–2712, May 2017.

[5] T. Meng, Lei Xiong, X. Zheng, Y. Tao*, and W. Yin, ‘Real-time Tunnel-magnetoresistive-based Pulsed Eddy Current Testing with Deep Learning’, IEEE Sensors Journal, Mar. 2024.

授权专利                                    

[1] Yang Tao; Christos Ktistis; Method for operating a multi-frequency metal detector and

multi-frequency metal detector, 2021-04-27, US10989829B2

[2] Yang Tao; Christos Ktistis; METHOD FOR OPERATING A MULTI-FREQUENCY METAL DETECTOR AND MULTI-FREQUENCY METAL DETECTOR, 2023-10-24, BR102019001192B1

[3] 陶阳; C·克蒂斯蒂斯; 用于操作多频金属探测器的方法和多频金属探测器, 2024-01-09, CN110161568B

[4] Yang Tao; Christos Ktistis; METHOD FOR OPERATING A MULTI-FREQUENCY METAL DETECTOR AND MULTI-FREQUENCY METAL DETECTOR, 2024-07-10, EP3521863B1

科研项目                                    

[1] Advanced Electromagnetic Simulation for Industrial Metal Detection using Clifford Algebra, Mettler-Toledo R&D, UK, PI

[2] Industrial Copilot: Modern AI Agent for Metal Detection, Mettler-Toledo R&D, UK, PI

[3] Harnessing the Power of Deep Learning for Advanced Metal Detection Techniques, Mettler-Toledo R&D, UK, PI

[4] Innovative Methods for Smart Industrial Metal Detectors: An IoT and Cloud/Edge Computation Approach, Mettler-Toledo R&D, UK, PI

[5] Digital impact on the next generation of Electromagnetic Spectral Technology (DIGEST), EPSRC, UK, PI

荣誉获奖                                    

国家级青年人才（海外）

梅特勒托利多创新奖