王艳新，工学博士，西安交通大学助理教授，硕士研究生导师。

研究方向：电力设备故障诊断与状态评估，电器智能化理论与技术，人工智能赋能的电力设备运维与数字化设计。

新加坡国立大学访问学者，入选首届中国科协青年人才托举工程博士生专项计划、西安交通大学“青年优秀人才支持计划A类”。作为核心成员参加国家重点研发计划、国家自然科学基金、陕西省自然科学基础研究计划项目等国家级、省部级科研项目9项。以第一作者发表最具学术影响力SCI期刊论文20余篇、中文核心期刊论文5篇，获得国际会议最佳论文奖2次，编写专著1部。Google Scholar总被引1500余次，h指数24。曾多次获得国家奖学金，西安交通大学优秀研究生标兵（15人/年）、学术之星（10人/年）、启航榜样（10人/年）等。并担任TII、TNNLS、TPD、TDEI、TIM、Energy、TIA、EAAI、ESWA等20余个期刊审稿人。

代表作论文如下：

[1] Wang Y, Yan J, Jing Q, et al. Prior Knowledge-Guided Active Learning Network for Multi-Source Partial Discharge Diagnosis in Gas-Insulated Switchgear[J]. IEEE Transactions on Power Delivery, 2026.

[2] Wang Y, Yan J, Zhang Z, et al. A Two-Level Multisensor Fusion Network With Incremental Learning for Insulation Defect Diagnosis in Gas-Insulated Switchgear[J]. IEEE Transactions on Industrial Informatics, 2026.

[3] Wang Y, Yan J, Wang J, et al. Electro-Chemical Coupled Federated Multi-Sensor Measurement Framework for GIS Insulation Fault Detection and Diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2026.

[4] Wang Y, Zhang Z, Jing Q, et al. A Multimodal Large Language Model Framework for Partial Discharge Condition Assessment in Gas-Insulated Switchgear[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2026.

[5] Wang Y, Yan J, Yang Z, et al. A class alignment multi-source domain adaptation for partial discharge condition assessment with unknown faults in GIS[J]. IEEE Internet of Things Journal, 2025.

[6] Wang Y, Yan J, Zhang W, et al. Mutitask learning network for partial discharge condition assessment in gas-insulated switchgear[J]. IEEE Transactions on Industrial Informatics, 2024, 20(10): 11998-12009.

[7] Wang Y, Yan J, Yang Z, et al. Simultaneous partial discharge diagnosis and localization in gas-insulated switchgear via a dual-task learning network[J]. IEEE Transactions on Power Delivery, 2023, 38(6): 4358-4370.

[8] Wang Y, Yan J, Yang Z, et al. A novel hybrid meta-learning for few-shot gas-insulated switchgear insulation defect diagnosis[J]. Expert Systems with Applications, 2023, 233: 120956.

[9] Wang Y, Yan J, Yang Z, et al. Deep domain-invariant long short-term memory network for partial discharge localization in gas-insulated switchgear[J]. IEEE Transactions on Power Delivery, 2023, 38(4): 2810-2820.

[10] Wang Y, Yan J, Yang Z, et al. A domain adaptive deep transfer learning method for gas-insulated switchgear partial discharge diagnosis[J]. IEEE Transactions on Power Delivery, 2021, 37(4): 2514-2523.