Xiaotian Jiang

Xiaotian Jiang

Ph.D. Candidate (2024-Present)

Interests

  • Computational electromagnetics
  • Electromagnetic surrogate modeling
  • 3-D microwave reconstruction
  • Neural operators and graph neural networks

Education

  • B.Sc. in Electronic Information Engineering, Xidian University (2019-2023)
  • M.Sc. in Electronic Science and Technology, Xidian University (2023-2024)
  • Ph.D. in Control Science and Engineering, Xidian University (2024-Now)

蒋晓天 Xiaotian Jiang (Graduate Student Member, IEEE) was born in Zhejiang, China, in 2001. He received the B.Sc. degree in electronic information engineering from Xidian University, Xi’an, China, in 2023, where he is currently pursuing the Ph.D. degree in control science and engineering with the School of Electronic Engineering.

His current research interests include computational electromagnetics, electromagnetic surrogate modeling, 3-D microwave reconstruction, and neural networks. His broader research focuses on machine learning and neural-operator methods for electromagnetic scattering, microwave imaging, inverse parameter prediction, and 3-D geometry reconstruction and design. He serves as a reviewer for IEEE Transactions on Antennas and Propagation.

Awards and Honors

  • Best Paper Award, 2026 International Conference on Artificial Intelligence and Information (ICAI 2026), Sept. 2026.
  • Outstanding Graduate of Shaanxi Province.
  • Xidian Special-Class Scholarship (highest-tier university scholarship).
  • Xidian Model Outstanding Student.

Latest

Autoregressive Pre-training for Heterogeneous mmWave Radar Perception using Mamba

Hongliang Chen, Xiaotian Jiang, Kaitai Guo, Yang Zheng, Siqi Pang, Shenghan Ren, Jimin Liang

Expert Systems with Applications, 333: 133829

Details | DOI | URL

A Condition-Aware Dielectric Neural Operator for Microwave Full-Wave Surrogate Modeling of 3-D Inhomogeneous Scattering

Xiaotian Jiang, Junming Hou, Kaitai Guo, Yang Zheng, Jian Wei You, Jimin Liang

IEEE Transactions on Microwave Theory and Techniques, accepted Nov. 1, 2026

Details | DOI | DOI

Mesh-Based Deep Learning Surrogate Model for Rapid Wideband 3D Electromagnetic Scattering Computation

Xiaotian Jiang, Huan Huan Zhang, Kaitai Guo, Yang Zheng, Jimin Liang

IEEE Transactions on Antennas and Propagation, 74(5): 4546-4561

Details | DOI | URL