Call for papers

Recent advances in neural signal processing and engineering have significantly expanded the capabilities for analyzing highly complex signals across diverse disciplines. The SAC 2026 SPNE track provides a distinctive interdisciplinary platform specifically dedicated to the integration of neural signal processing and AI-driven methodologies. This integrative approach is crucial for fostering novel research collaborations and translating theoretical advances into practical, impactful solutions. By directly addressing major global challenges such as improving healthcare outcomes, developing intelligent systems, and enhancing brain-machine interactions,
the SPNE track stands uniquely positioned to drive innovation and interdisciplinary synergy. 

The SAC 2026 Conference invites submissions to the track on Signal Processing and Neural Engineering (SPNE), emphasizing advanced Artificial Intelligence (AI) methodologies applied specifically to various signals and related engineering domains. This track uniquely integrates sophisticated signal processing techniques with neural engineering principles, fostering multi-disciplinary innovations. SPNE addresses a wide array of critical real-world challenges, including enhancing medical diagnostics through precise neural signal analytics, developing intuitive neuroprosthetic devices for rehabilitation, designing adaptive cognitive interfaces for improved human-computer interaction, creating intelligent systems guided by neural-inspired signal processing, and applying methodologies for effective environmental monitoring. We invite high-quality original research that provides significant theoretical insights and practical contributions across these domains, particularly research that bridges multiple fields and showcases transformative applications of neural engineering and signal processing.

1. Neural Signal Processing for Clinical Applications

   • Real-time biosignal analytics for clinical diagnostics (EEG, ECG, EMG) 

   • Neural monitoring systems in clinical and veterinary settings 

   • Wearable biosensor integration for personalized medicine and telehealth applications

2. Signal Processing for multi-disciplinary Applications

   • Neural-inspired signal processing for diverse fields (e.g., medical, agricultural, environmental) 

   • AI-based predictive analytics and real-time decision support for precision field

   • Self-adaptive intelligent systems guided by multispectral signals
      

3. Advanced Neural Interfaces and Cognitive Engineering

   • Next-generation Brain-Computer Interface (BCI) technologies 

   • Real-time multiple cognitive states detection via multimodal signals

   • Adaptive human-centered neural interaction systems driven by real-time signal feedback 

• Submission:           Sep 26, 2025 (EST)

                               Oct 10, 2025 (EST)

• Notification:            Oct 31, 2025 (EST)

                               Nov 21, 2025 (EST)

• Camera Ready:      Dec 5, 2025 (EST)

• Conference:           Mar. 23 - 27., 2026 (EST)