Illustrated portrait
PhD researcher
Axel Bondelo
Axel investigates how artificial intelligence can shape and interpret signal modulation in a hardware-aware physical-channel setting.
- Program
- PhD
- Supervision
- Leonard MacEachern
- Last updated
- 20 September 2026
Place in MOSAIC
The connected research tiles
Research overview
Axel is a PhD student researching AI-mediated signal modulation, likely in an over-the-horizon-radar setting.
The direction joins waveform and channel modelling, signal processing, modulation, intelligent inference, and the physical constraints of the system that must carry and interpret the signal.
Research territory
The doctoral project is expected to connect several MOSAIC questions:
- How a physical channel structures the useful signal space
- How learned models can participate in modulation or adaptation
- Which observables should govern training and validation
- How robustness should be tested as the channel and environment change
- Where intelligence should reside in the eventual hardware and system architecture
Current direction
The final thesis title, detailed application context, methods, platform, and milestones will be established as the project develops. The page will expand alongside that work.