Physics-Informed Deep Learning Models for Radio Wave Propagation

This project brings together researchers from University College Dublin (Ireland) and the University of Alberta (Canada) to develop smarter ways of modeling radio wave propagation in railway environments. These models help improve wireless communication systems used in train and subway services. The project uses a combination of physics and artificial intelligence (AI), allowing faster and more accurate predictions while reducing the need for costly simulations. By working together, both universities will benefit from shared knowledge, access to real-world data, and opportunities for future research funding and student exchange. This collaboration aims to support smarter infrastructure and more reliable communication systems in both Canada and Europe.

Faculty Supervisor:

Xingqi Zhang

Student:

Partner:

University College Dublin

Discipline:

Engineering

Sector:

Education

University:

University of Alberta

Program: