NeuroPHY 2026

The 1^st Neuromorphic Physical Layer Signal Processing
for Wireless Systems Workshop

Workshop endorsed by the MultiX Horizon JU-SNS project

The increasing demand for energy-efficient wireless sensing and communication systems, particularly in IoT and cyber-physical systems, requires rethinking physical layer (PHY) processing architectures. Neuromorphic computing aligns with this need by enabling (i) ultra-low-power operations, (ii) event-driven processing, and (iii) native temporal signal handling. This is especially relevant for (a) edge intelligence in wireless sensor networks, (b) sustainable embedded AI systems, and (c) real-time adaptive communication systems.

NeuroPHY focuses on the emerging intersection between neuromorphic computing and PHY signal processing for wireless communication systems. The workshop aims to explore how spiking neural networks (SNNs), reservoir computing, and embedded neuromorphic processors can enable ultra-low-power, adaptive, and real-time PHY functionalities.

The aim is to bring together researchers working on both hardware implementations and software-driven applications to advance next-generation wireless and sensor systems, especially towards energy efficiency. Specifically, the objectives are:

• Establish a research forum bridging neuromorphic computing and wireless PHY design
• Identify and exploit opportunities for low-energy, real-time signal processing
• Promote collaboration and networking between hardware designers, communication theorists, and machine learning experts
• Evaluate feasibility and limitations of neuromorphic approaches in real-world deployments

KEYNOTE SPEECH: TBA.

IMPORTANT DATES:
Paper submission: June 20^th 2026
Acceptance notification: July 30^th 2026
Camera ready: August 5^th 2026
Workshop: September 16^th 2026