我们团队隶属于西安交通大学电气工程学院，依托电力设备电气绝缘国家重点实验室与新型储能与能量转换纳米材料研究中心开展科研工作，聚焦未来能源与电力可持续发展中涉及的智能感知、无损检测、层析成像、电磁场建模等交叉方向。研究既有扎实的工程基础，也有向新兴方向的延展（如AI辅助建模、数字孪生、医工交叉）。团队以中青年研究人员为核心，结构多样、氛围开放，既有持续支持的科研项目，也有清晰的发展方向和成长潜力。

　　Our team is affiliated with the State Key Laboratory of Electrical Insulation and Power Equipment and the Research Center for Advanced Energy Storage and Conversion Nanomaterials. We focus on interdisciplinary research spanning intelligent sensing, non-destructive testing, electrical tomography, and electromagnetic field modeling in the context of future energy and sustainable power systems.

　　While grounded in solid engineering fundamentals, our research also expands into emerging areas such as AI-assisted modeling, digital twins, and biomedical-electrical imaging. We maintain a diverse structure and open culture, with stable project support and clear development pathways.

【基础理论与方法】

- 电气测量技术：研究高精度、高鲁棒性的多物理量测量方法，包括电压、电流、温度、局部放电等。重点关注传感器设计、信号处理与系统集成，应用于设备状态监测与运行安全分析。

- 电磁场正/逆问题求解：聚焦复杂电磁结构中的物理建模与参数反演，结合有限元方法、优化算法与机器学习手段，解决材料参数识别、电场分布重建、结构缺陷定位等问题。

- 智能感知与图像重建算法：面向电学成像、多相流、医工交叉等场景，研究图像重建、特征提取、数据融合与深度学习方法，提升系统的可视化能力与诊断效率。

【工程应用与技术】

- 电学层析成像方法与技术：利用电阻抗/电容/磁感应层析成像手段，实现电力设备内部电性分布的空间成像，适用于局部缺陷、水树老化等隐患识别。

- 工业无损检测技术：面向电缆、复合材料、管道等结构，发展基于电磁、介电、超声等物理场的无损检测技术，结合AI算法实现状态评估与智能识别。

- 工业多相流测试：针对油气输送、冷却系统等复杂工况，开展基于电学测量与传感器融合的流体参数测试，结合数字孪生方法实现多相界面追踪与系统建模。

- 生物医学电学成像与医工交叉研究：将成像与识别技术延伸至生物医学领域，用于生理状态监测、病灶可视化与健康设备研发，探索电学成像在医工融合中的新应用。

[Fundamental Theory and Methodology]

Electrical Measurement Technology: Focused on high-accuracy and robust multi-physical parameter measurements, including voltage, current, temperature, and partial discharge. Emphasis is on sensor design, signal processing, and system integration for equipment monitoring and operational safety.

Electromagnetic Field Forward/Inverse Problems: Concentrated on modeling and parameter inversion in complex electromagnetic structures, combining finite element methods, optimization algorithms, and machine learning to address material identification, field distribution, and structural diagnostics.

Intelligent Perception and Image Reconstruction: Focused on imaging and diagnostics across electrical tomography, multiphase flows, and biomedical applications, involving reconstruction algorithms, feature extraction, data fusion, and deep learning.

[Technology Development and Engineering Applications]

Electrical Tomography Imaging: Using impedance/capacitance/electromagnetic induction-based tomography to visualise internal electrical structures in power equipment, suitable for identifying local defects and water tree aging.

Industrial Non-Destructive Testing: Developing electromagnetic, dielectric, and ultrasonic testing techniques for structures like cables, composites, and pipelines, integrated with AI-based condition assessment and smart recognition.

Multiphase Flow Measurement: Conducting flow parameter monitoring using electrical sensing and sensor fusion in complex systems like oil & gas transport and cooling, aided by digital twin models.

Biomedical Electrical Imaging and Interdisciplinary Research: Extending imaging and recognition techniques to biomedical fields for physiological monitoring, lesion visualization, and intelligent health device development.

邮箱： ma.lu@xjtu.edu.cn

办公地址：西安交通大学电气工程学院，电工材料电气绝缘全国重点实验室

具体地址：陕西省西安市西咸新区中国西部科技创新港校区躬行楼3-3198

邮编：710049

电话：029-88968631