武泽明，男，博士，主要研究领域为AI赋能的高性能微波无源器件设计，以第一作者在IEEE TCPMT，IEEE MWTL以及Electronics发表SCI论文3篇，以共同作者在IEEE TMTT、IEEE TAP、Laser & Photonics Reviews等发表SCI论文6篇。以第一作者发表EI论文5篇，授权发明专利1项。担任IEEE MWTL、Neurocomputing等期刊审稿人。本科期间曾获美国大学生数学建模竞赛M奖、全国大学生电子设计竞赛省级（四川赛区）二等奖等奖项，博士期间一篇会议论文获得2025PIERS最佳学生论文奖（前1%）。

学习和研究工作经历：

2025.12-至今：中原工学院集成电路学院教师

2020.09-2025.12:上海交通大学，电子科学与技术，博士（上海市优秀毕业生）

2016.09-2020.06:电子科技大学，电子信息科学与技术，学士（电子科技大学优秀毕业生）

研究方向：

1.小型化微波滤波器设计

2.AI辅助的像素型结构微波无源器件设计

3.基于玻璃基工艺的微波无源器件

主持或参与的学术科研项目：

(1) 科技部, 国家重点研发计划, 2019YFB2205001, 基于 AI 的集成电路物理设计 EDA 技术研究, 2021- 01 至 2023-12, 87.4万元, 结题, 参与

代表性论文：

[1]Wu Z M, Ji L, Li X C, et al. A slow wave folded ridge HMSIW using spoof surface plasmon polaritons structure and its application in coupler design[J]. IEEE Transactions on Components, Packaging and Manufacturing Technology, 2023, 13(5): 594-603. (SCI)

[2]Wu Z M, Li Z, Li X C, et al. Design of Wideband Microstrip-to-Microstrip Vertical Transition With Pixel Structures Based on Reinforcement Learning [J]. IEEE Microwave and Wireless Technology Letters, vol. 35, no. 3, pp. 274-277, March 2025. (SCI)

[3]Wu Z M, Li Z, Li X C, Mao J F. Multi-Branch Knowledge-Assisted Proximal Policy Optimization for Design of MS-to-MS Vertical Transition with Multi-Layer Pixel Structures. Electronics. 2025, 14, 3723. (SCI)

[4]Li Z, Wu Z M, Li X C, Gao S P, Guo Y X, Mao J F. A POD-enhanced multi-PCE DNN for high-dimensional uncertainty quantification of high-speed circuits[J]. IEEE Transactions on Microwave Theory and Techniques, 2025, 73(8): 4468-4479. (SCI)

[5]Chen H, Li S, Wu Z M, Wang L, Li X C, Liu Q H. Multihead discrete action calibration proximal policy optimization method for pixel antennas with high degrees of freedom[J]. IEEE Transactions on Antennas and Propagation, 2025, 73(5): 2881-2894. (SCI)

[6]Li Z, Li X C, Wu Z M, Zhu Y, Mao J F. Surrogate modeling of high-speed links based on GNN and RNN for signal integrity applications[J]. IEEE Transactions on Microwave Theory and Techniques, 2023, 71(9): 3784-3796. (SCI)

[7]Wu Z M, Li Z, Li X C, Mao J F. An inverse modelling technique based on semi-supervised invertible neural network for microwave components[C]. 2025 Photonics & Electromagnetics Research Symposium (PIERS). Abu Dhabi, UAE, 2025. (EI, Best Student Paper Award (Top 1%))

[8]Wu Z M, Ji L, Li Z, Li X C. A miniaturized Wilkinson power divider based on folded spoof surface plasmon polaritons[C]. 2024 Asia-Pacific Microwave Conference (APMC). Bali, Indonesia, 2024: 958-960. (EI)

[9]Wu Z M, Li Z, Li X C. Design of a triple-band and ultra-thin absorber with pixel structure based on reinforcement learning[C]. 2024 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT). Chengdu, China, 2024: 1-3. (EI)

[10]Wu Z M, Ji L, Li X C, Mao J F. A miniaturized folded spoof surface plasmon polaritons transmission line[C]. 2023 IEEE MTT-S International Wireless Symposium (IWS). Qingdao, China, 2023: 1-3. (EI)

[11]Wu Z M, Li X C, Li Z, Mao J F. Inverse design of spoof surface plasmon polaritons based on artificial neural network[C]. 2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT). Harbin, China, 2022. (EI)

[12]李晓春，武泽明，李正，毛军发，“微波无源器件的设计方法和装置”，已授权，公开号：CN117272778A，发明专利，中国

联系方式：

7115@zut.edu.cn