陈泓材/ 男  博士  副研究员  博士生导师,硕士生导师,全体教师
姓名:陈泓材
地点:四牌楼西区智能控制楼201
电话:
教师主页:
邮箱:chenhc@seu.edu.cn
基本信息

陈泓材,副研究员,博士生导师。2008年进入合肥工业大学电子科学与技术专业学习,2012年毕业并被香港理工大学(全球排名前150)免试录取硕博连读,2018年博士毕业;2017年为杜克大学访问学者;2018年赴南方科技大学任副研究员;202111月从南方科技大学离职,加入东南大学自动化学院任副研究员,隶属于复杂工程系统测量与控制教育部重点实验室。申请人主要从事电磁环境、故障诊断、机器学习相关交叉领域的研究。近五年,在电磁环境仿真、电气故障识别、EDA优化设计等领域已发表第一作者和通讯作者SCI论文三十多篇,大多数IEEE Trans会刊。主持国家级、省部级和产学研项目多项。


每年招收硕士3-4名,博士1-2名。海外硕士不限名额,欢迎报考。

International Students are Welcome for Master/PhD degree. The topics focus on AI applications for electrical/electronic designs. 


课题组常年招收实习生、研究助理,支持学生联合培养、课题合作等,从事机器学习、大模型、EDA、智能电磁设计相关的研究工作,详情邮件联系。


2025年有一个博士名额,2026年博士招生可提前联系,欢迎电子、信息、自动化和相关专业背景学生报考,要求硕士以上学位,有学术论文为佳。研究方向:

多模态检索大模型方向,基于多模态对微波、天线、电路等电子领域的论文、专利的检索与解析,打通文本+图像->模型解析->生成仿真文件的流程,实现检索、模型复现、模型评估一体化的电子知识检索大模型。

基于大模型的电子设计:构建电子设计通用大模型,利用深度学习、大模型等机器学习方法,构建电子设计通用的解析、设计模型,推进电子设计、芯片设计的智能化。


Welcome to Hong Científica Galaxy! Make Electronic Design Intellegent!


教育背景
工作经历
学术兼职
所获奖励

火花奖

东南大学至善学者A类

东南大学优秀本科生导师

江苏省双创博士

深圳市海外高层次人才



讲授课程

本科课程《电路基础》

本科课程《工程设计导论》


学生培养
研究兴趣
科研项目

[9] 国家自然科学基金委员会,青年项目,“基于不完整数据挖掘的变压器在线诊断方法研究”,2023-2025,主持

[8] XX技术有限公司,“电路图功能相似检索技术研究”,2024-2025,主持

[7] 中央高校基础科研业务费,“南极极端环境可再生能源微网稳定控制技术研究”,2023-2025,主持

[6] 国网上海能源互联网研究院有限公司,“铅碳电池全景分析与预警诊断服务”,2023.7-2024.7主持

[5] 国网上海能源互联网研究院有限公司,“海量电压数据分析和处理技术研究”,2023.10-2024.10主持

[4] 广东省基础与应用基础研究基金委员会,“5G通信基站雷电防护研究”,2020.1-2022.12主持

[3] 中兴通讯公司合作项目,“直流TOV机理与模式研究”,2022.3-2022.12主持

[2] 中兴通讯公司合作项目,“通信基站在中低压电网故障模式下的损伤机理研究”,2021.3-2021.12主持

[1] 中国极地研究中心,“南极电源技术”,2022.7-2023.10,参与。



论文发表

(1) 能源系统设计与故障诊断

[9] H. C. Chen, Y. Zhang, and M. Chen, Efficient Gas Concentration Prediction for Power Transformers Using Data-Fusion. Under preparation.

[8] H. C. Chen, J. Xu, M. Guo, Z. Li, and Y. Zhang, Fire Causing of Telecommunication Station Power Supply Induced by Transferred Overvoltage (TOV) from Mid-Voltage Fault. Submitted to IEEE.

[7] H. C. Chen, Y. Zhang, and M. Chen, Dissolved Gas Analysis Using Knowledge-Filtered Oversampling-Based Diverse Stack Learning. IEEE Transactions on Instrumentation and Measurement, Accepted.

[6] H. C. Chen, Y. Zhang, and M. Chen, Rethinking Shallow and Deep Learnings for Power Transformer Dissolved Gas Analysis. Submitted to IEEE.

[5] H. C. Chen, Y. Zhang, and M. Chen, Soft Calibration of Online DGA Sensors Using Semi-Supervised S3TR for Power Transformer, IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-10, 2024, Art no. 1004710.

[4] Y. Zhang, H. C. Chen*, et al., Lightweight AC Arc Fault Detection Method by Integration of Event-Based Load Classification, IEEE Transactions on Industrial Electronics, vol. 71, no. 4, pp. 4130-4140, 2024.

[3] H. C. Chen, Y. Zhang, and M. Chen, Transformer Dissolved Gas Analysis for Highly-Imbalanced Dataset Using Multiclass Sequential Ensembled ELM, IEEE Transactions on Dielectrics and Electrical Insulation, vol. 30, no. 5, pp. 2353-2361, 2023.

[2] Y. Zhang, H. C. Chen*, et al., Early Warning of Incipient Faults for Power Transformer Based on DGA Using a Two-Stage Feature Extraction Technique, IEEE Transactions on Power Delivery, vol. 37, no. 3, pp. 2040-2049, 2022.

[1] Y. Zhang, H. C. Chen*, et al., Power transformer fault diagnosis considering data imbalance and data set fusion, High Voltage, vol. 6, no. 3, pp. 543-554, 2021.


(2) 电磁仿真与EDA设计

[25] H. Tan(博士生), Z. H. Chang, Y. Zhang, and H. C. Chen*, Low-Complexity State Space Behavioral Modeling for Digital Predistortion in RF Power Amplifiers. Submitted to IEEE.

[24] H. C. Chen, Y. P. Xu, and Y. Zhang, Advanced Chain-of-Thought Reasoning for Parameter Extraction from Documents Using Large Language ModelsSubmitted to IEEE.

[23] Y. Zhang, Z. H. Chang(本科生), and H. C. Chen*, Nonlinear Behavior Modeling of PIN Diode Under High-Power Microwave Using Multi-Head Self-Attention BiLSTM. Submitted to IEEE.

[22] Z. H. Chang(本科生), Y. Zhang, and H. C. Chen*, V-UCI: Verilog-A Based Unified Circuit Implementation for Neural Behavioral Transient ModelSubmitted to IEEE.

[21] Z. H. Chang(本科生), Y. Zhang, and H. C. Chen*, Dynamic LSTM for 5G Signal Power Amplifier Behavioral Model, IEEE Microwave and Wireless Technology Letters, vol. 34, no. 6, pp. 683-686, June 2024,

[20] M. Gao(博士生), R. Qiu, H. C. Chen*, K. Zhang, and H. Wei, Circuit schematic retrieval algorithm based on graph neural network, Submitted to IEEE.

[19] J. Lyu, H. C. Chen*, Q. S. Cheng, Y. Zhang, and Y. Du, Rapid Design of Litz Wire Using Surrogate Assisted Optimization Embedding Adjacent Trust Region. IEEE Transactions on Components, Packaging and Manufacturing Technology, Accepted.

[18] J. H. Lyu, H. C. Chen*, Y. P. Du, and Q. S. S. Cheng, LitzImp: A Fast Impedance Extraction Algorithm for Litz Wire Coil, IEEE Transactions on Industrial Electronics, vol. 70, no. 9, pp. 9326-9335, Sep 2023.

[17] Y. Zhang, H. Chen*, and Y. Du, Transients in solar photovoltaic systems during lightning strikes to a transmission line, International Journal of Electrical Power & Energy Systems, vol. 134, p. 106885, 2022.

[16] J. Lyu, H. C. Chen*, Y. Zhang, Y. Du, and Q. S. Cheng, Litz Wire and Uninsulated Twisted Wire Assessment Using a Multilevel PEEC Method, IEEE Transactions on Power Electronics, vol. 37, no. 2, pp. 2372-2381, 2022.

[15] Z. Zhang, H. C. Chen*, and Q. S. Cheng, Surrogate-Assisted Quasi-Newton Enhanced Global Optimization of Antennas Based on a Heuristic Hypersphere Sampling, IEEE Transactions on Antenna and Propagation, vol. 69, no. 5, pp. 2993-2998, 2021.

[14] Z. Zhang, H. Chen*, F. Jiang, Y. Yu, and Q. S. Cheng, A Benchmark Test Suite for Antenna S-Parameter Optimization, IEEE Transactions on Antenna and Propagation, vol. 69, no. 10, pp. 6635-6650, 2021.

[13] Y. Zhang, H. C. Chen*, Y. P. Du, Z. Li, and Y. Wu, Lightning Transient Analysis of Main and Submain Circuits in Commercial Buildings Using PEEC Method, IEEE Transactions on Industry Applications, vol. 56, no. 1, pp. 106-116, 2020.

[12] Y. Zhang, H. C. Chen*, and Y. P. Du, Considerations of Photovoltaic System Structure Design for Effective Lightning Protection, IEEE Transactions on Electromagnetic Compatibility, vol. 62, no. 4, pp. 1333-1341, Aug 2020.

[11] J. Lyu, H. Chen*, Y. Zhang, Y. Du, and Q. S. Cheng, Fast Simulation of Litz Wire Using Multilevel PEEC Method, IEEE Transactions on Power Electronics, vol. 35, no. 12, pp. 12612-12616, 2020.

[10] H. C. Chen, Y. Zhang, Y. P. Du, and Q. S. Cheng, Comprehensive transient analysis for low-voltage system in a wind turbine under direct lightning, International Journal of Electrical Power & Energy Systems, vol. 121, p. 106131, Oct 2020.

[9] H. Chen, Y. Zhang, Y. Du, and Q. S. Cheng, Fast Design of Multilayered Shields Using Surrogate Model and Space Mapping, IEEE Transactions on Electromagnetic Compatibility, vol. 62, no. 3, pp. 698-706, 2020.

[8] Y. Zhang, H. C. Chen*, and Y. P. Du, Lightning protection design of solar photovoltaic systems: methodology and guidelines, Electric Power Systems Research, vol. 174, p. 105877, Sep 2019.

[7] H. Chen, Y. Zhang, Y. Du, and Q. S. Cheng, Lightning Propagation Analysis on Telecommunication Towers Above the Perfect Ground Using Full-Wave Time Domain PEEC Method, IEEE Transactions on Electromagnetic Compatibility, vol. 61, no. 3, pp. 697-704, 2019.

[6] H. Chen and Y. Du, Lightning Grounding Grid Model Considering Both the Frequency-Dependent Behavior and Ionization Phenomenon, IEEE Transactions on Electromagnetic Compatibility, vol. 61, no. 1, pp. 157-165, 2019.

[5] H. Chen, Y. Du, M. Yuan, and Q. H. Liu, Analysis of the Grounding for the Substation Under Very Fast Transient Using Improved Lossy Thin-Wire Model for FDTD, IEEE Transactions on Electromagnetic Compatibility, vol. 60, no. 6, pp. 1833 - 1841, 2018.

[4] H. Chen, Y. Du, M. Yuan, and Q. H. Liu, Lightning-Induced Voltages on a Distribution Line With Surge Arresters Using a Hybrid FDTD–SPICE Method, IEEE Transactions on Power Delivery, vol. 33, no. 5, pp. 2354-2363, 2018.

[3] H. Chen, Y. Du, and M. Chen, Lightning Transient Analysis of Radio Base Stations, IEEE Transactions on Power Delivery, vol. 33, no. 5, pp. 2187-2197, 2018.

[2] H. Chen and Y. Du, Proximity effect modelling for cables of finite length using the hybrid partial element equivalent circuit and artificial neural network method, IET Generation, Transmission & Distribution, vol. 12, no. 16, pp. 3876-3882, 2018.

[1] H. Chen and Y. Du, Model of ferromagnetic steels for lightning transient analysis, IET Science, Measurement & Technology, vol. 12, no. 3, pp. 301-307, 2018.