【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.