PROGRAMME
ITU-R Workshop on "Applications of machine learning
in radio-wave propagation prediction"
27 May 2025
Room H (Montbrillant building), Geneva (Switzerland)
(Registered remote participants to connect to the workshop on the restricted events portal)
Time in CEST Session title
08:00–09:00 Registration(in-person participants collecting identification badges)
09:00–09:10 Openingandwelcome remarks
- Welcome remarks from the Radiocommunication Bureau
- Welcome remarks: Clare ALLEN, Chair ITU-R Study Group 3
09:10 – 10:30
Session1
Moderator: Clare ALLEN, Chair ITU-R Study Group 3
09:10–09:30
Modelling received power from wireless networks in Greece using machine learning
Presenters (remote): Prof Sotirios K. GOUDOS, Aristotle University of Thessaloniki, Thessaloniki, Greece
Prof George V. TSOULOS, University of Peloponnese, Tripolis, Greece
09:30–09:50
High-resolution global land cover maps and their assessment strategies
Presenter (remote): Prof Maria BROVELLI, Politecnico di Milano, Italy
09:50– 10:10
Research on the application of artificial intelligence in the inversion and prediction of maritime atmospheric ducts
Presenter (remote): Dr Jiajing WU , China Research Institute of Radiowave Propagation, China
10:10– 10:30
Rainfall monitoring using the propagation features of sub-6 GHz non-line-of-sight wireless signals
Presenter (remote): Dr Xing WANG, Nanjing University, China
10:30– 10:50 Break
10:50 – 12:10 Session 2
Moderator: Dr Zubeir BOCUS, Chair ITU-R CG 3J-K-3L-3M-27
10:50– 11:10
The role of spatial information in predicting path loss using machine learning
Presenter (in-person): Dr Takahiro HAYASHI, KDDI-research, Fujimino, Japan
11:10– 11:30
Machine learning-aided ray tracing for faster radio propagation prediction
Presenter (in-person): Prof Claude OESTGES, Catholic University of Louvain, Louvain-la-Neuve, Belgium
11:30– 11:50
Generalizable neural network-based propagation models
Presenter (remote): Prof Costas SARRIS, University of Toronto, Canada
11:50 – 12:10
AI-enabled propagation modelling with realistically accessible scarce training data: Challenges and Opportunities
Presenter (remote): Prof Ali IMRAN, University of Glasgow, United Kingdom
12:10– 12:30 Session 3
Panel discussion
Moderator: Dr Zubeir BOCUS, Chair ITU-R CG 3J-K-3L-3M-27