AI · RF design · Engineering

Tao Wu

James Watt School of Engineering, University of Glasgow

Final-year PhD

James Watt Building South

Glasgow, UK, G12 8QQ

Hi, I’m a final-year PhD student in Electronic Engineering with James Watt School of Engineering, University of Glasgow, Scotland, UK, advised by Prof. Bo Liu. I obtained a BEng degree in Electronic Engineering from University of Glasgow, a BEng degree in Electronic Engineering from UESTC, and an MS degree in Computer Science from Georgia Institute of Technology, Atlanta, GA. I have also worked at MathWorks as a research intern.

My research interests lie at the intersection of artificial intelligence (AI) and radio frequency (RF) designs. I leverage few-shot learning enhanced optimization and large language models (LLMs) to help RF engineers engage with efficient design. I have developed and upgraded optimization methods for RF designs, including proposing a new optimization method for pixelized antennas with a resolution of 2000 or higher (IEEE TAP), and refining optimization methods for microwave filters (also used for photonic filters ECOC2025) and power amplifiers (IEEE TMTT). Recently, my work looks at digitalizing and streamlining RF design workflow by using LLMs (arXiv & GitHub).

Get in touch View CV Publications

Research areas

All projects

Methods

Surrogate-assisted optimization

Bayesian neural networks and ensemble learning for simulation-intensive RF design.

Small-data modeling

Structures

Digitally coded antennas

High-dimensional binary geometry with spatially aware evolutionary operators.

Topology optimization

Workflows

LLM-enabled modeling

From descriptions and reference figures to parameterized simulation models.

Human-in-the-loop design

News

Aug 11, 2026	Our Large Language Model-Based Intelligent Antenna Design System paper is now published in EuCAP 2026. Explore the LEAM toolkit and workflow walkthrough.
Apr 17, 2026	This summer, I will return to MathWorks for an internship. Happy to be a MathWorker again!

Selected publications

EuCAP

Large Language Model-Based Intelligent Antenna Design System

Tao Wu, Kexue Fu, Qiang Hua, and 2 more authors

In 20th European Conference on Antennas and Propagation (EuCAP), 2026 8

DOI arXiv Bib HTML PDF Blog Code Website

@inproceedings{wu2026lads,
  title = {Large Language Model-Based Intelligent Antenna Design System},
  author = {Wu, Tao and Fu, Kexue and Hua, Qiang and Liu, Xinxin and Liu, Bo},
  booktitle = {20th European Conference on Antennas and Propagation (EuCAP)},
  year = {2026},
  organization = {IEEE},
  doi = {10.23919/EuCAP68105.2026.11612228},
}

IEEE TMTT

An efficient and general automated power amplifier design method based on surrogate model assisted hybrid optimization technique

Bo Liu, Liyuan Xue, Haijun Fan, and 3 more authors

IEEE Transactions on Microwave Theory and Techniques, 2025 28

DOI Bib HTML PDF Blog

@article{liu2024efficient,
  title = {An efficient and general automated power amplifier design method based on surrogate model assisted hybrid optimization technique},
  author = {Liu, Bo and Xue, Liyuan and Fan, Haijun and Ding, Yuan and Imran, Muhammad and Wu, Tao},
  journal = {IEEE Transactions on Microwave Theory and Techniques},
  volume = {73},
  number = {2},
  pages = {926--937},
  year = {2025},
  publisher = {IEEE},
  doi = {10.1109/TMTT.2024.3518913},
}

IEEE TAP

An efficient method for complex digitally coded antenna design based on evolutionary computation and machine learning techniques

Tao Wu, Bo Liu, Qiang Hua, and 7 more authors

IEEE Transactions on Antennas and Propagation, 2025 9

DOI Bib HTML PDF Blog

@article{wu2025efficient,
  title = {An efficient method for complex digitally coded antenna design based on evolutionary computation and machine learning techniques},
  author = {Wu, Tao and Liu, Bo and Hua, Qiang and Akinsolu, Mobayode O and Buch, Dhyey P and Adams, Jacob J and Imran, Muhammad and Lazaridis, Pavlos and Pei, Rui and Excell, Peter},
  journal = {IEEE Transactions on Antennas and Propagation},
  year = {2025},
  publisher = {IEEE},
  doi = {10.1109/TAP.2025.3618750},
}

ECOC

Integrated Multi-Band Photonic Filter Based on MRR–SSG for Tunable Frequency Hopping

Simeng Zhu, Tao Wu, Yizhe Fan, and 4 more authors

In 51st European Conference on Optical Communication (ECOC), 2025 0

DOI Bib HTML PDF Blog

@inproceedings{zhu2025integrated,
  title = {Integrated Multi-Band Photonic Filter Based on MRR--SSG for Tunable Frequency Hopping},
  author = {Zhu, Simeng and Wu, Tao and Fan, Yizhe and Sun, Xiao and Liu, Bo and Marsh, John H and Hou, Lianping},
  booktitle = {51st European Conference on Optical Communication (ECOC)},
  year = {2025},
  organization = {IEEE},
  doi = {10.1109/ECOC66593.2025.11263410},
}