Tao Wu
t.wu.1@research.gla.ac.uk
https://orcid.org/0000-0003-4459-2696
Research title: Optimisation Techniques for Microwave Antenna and Filter Design
Research summary
Hi! I’m a third 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 leaverage 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 amplifers (IEEE TMTT). Recently, my work looks at digitalizing and streamlining RF design workflow by using LLMs (arXiv & GitHub).
Publications
Prior publications
Works published at other institutions
Article
YP Chen, T Wu, WH Tian, E Ilyukhin, KD Hyde, SSN Maharachchikumbura (2023) Comparative genomics provides new insights into the evolution of Colletotrichum Mycosphere WU Tao. ISSN 2077-7019 (doi: 10.5943/mycosphere/si/1f/5)
Tao Wu, Yanpeng Chen, Sajeewa S. N. Maharachchikumbura (2021) The complete mitochondrial genome of Gymnobelideus leadbeateri (Mammalia: Petauridae) Mitochondrial DNA Part B WU Tao. ISSN 2380-2359 (doi: 10.1080/23802359.2021.1875919)
Book Section
Tao Wu, Xuefeng Zan, Lei Xu, Yuang Chen, Kai Liu (2022) Fair Food Delivery Trading System Based on Edge Computing and Stackelberg Game Edge Computing – EDGE 2022 WU Tao. ISBN 9783031234705 ISSN 1611-3349 (doi: 10.1007/978-3-031-23470-5_2)
Grants
- MathWorks Industry Scholarship (Fully funded with stipend) 2023-2027
