The advent of 6G and Beyond (6G&B) technologies promises unprecedented capabilities in integrated communications and sensing (ISAC). This workshop explores recent advancements at the intersection of multi-modal signal processing, AI, and wireless communications. We envision that multi-modality in the 6G&B era will feature three key dimensions:
  • Multi-function: Integrating communication, localization, sensing, computing, decision-making.
  • Multi-network: Unifying heterogeneous technologies like Terahertz (THz), Ultra-wideband (UWB), visible-light communications (VLC), Internet of Things (IoT), reconfigurable intelligent surfaces (RIS), and hybrid terrestrial/satellite/high-altitude platforms (HAPs)/maritime/underwater networks.
  • Multi-information: Fusing information from radio/acoustic signals, ambient sensors, cameras, inertial measurement units (IMUs), crowd-sourced inputs, and semantic data.
​The workshop will highlight recent advances in multi-modal signal processing and AI techniques designed to harness these diverse data sources and infrastructure for ISAC. Participants will engage with core topics including cooperative localization, mapping and sensing, cross-layer optimization, and data-driven inference in dynamic, heterogeneous, and resource-constrained environments. Through expert-led sessions and interdisciplinary dialogue, the workshop aims to advance scalable, resilient, and intelligent 6G&B-ISAC empowered by multi-modal processing.
The topics of interest include but are not limited to:
  • Cooperative Localization and Mapping: Techniques for precise SLAM by fusing signals from diverse sources and applying collaborative algorithms—especially in GPS-challenged environments—using multi-network and multi-data modalities
  • Multi-Modal Information Fusion: Approaches to integrating heterogeneous data streams from sensors, agents, and infrastructure (e.g., cameras, IMUs, environmental sensors, semantic data), leveraging 6G’s high-speed, low-latency communication.
  • Advanced Wireless Communications: Protocols and architectures tailored for diverse 6G&B environments: THz, VLC, UWB, IoT, RIS, satellite, and underwater—ensuring robust connectivity and efficient coordination across heterogeneous networks
  • Integrated Sensing and Communication (ISAC): Joint design of sensing and communication systems to reduce hardware and spectrum redundancy, enabling efficient, scalable multi-functional operations.
  • Combination of Signal Processing and AI: Hybrid approaches to combine classic signal processing with AI to exploit the information in both models and data.
  • Real-Time Signal Processing and Decision Making: Solutions for low-latency, high-throughput signal processing across edge devices and distributed platforms, supporting real-time inference and decision-making in dynamic, data-rich environments.
Important Dates
  • Full paper submission deadline: Oct. 22, 2025
More information: 
https://2026.ieeeicassp.org/

​The Speakers

 Prof. Marco Di Renzo,  CNRS Research Director with the Laboratory of Signals and Systems (L2S) of Paris-Saclay University:
“Reconfigurable Surfaces for Communication and Information Processing”

Prof. Osvaldo Simeone, King’s College London, UK:
“Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems”

Prof. Emil Björnson, KTH Royal Institute of Technology, Sweden:
“Near-field Communications and Sensing”.