at The 41th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2026)
Thessaloniki, Greece, March 23-27, 2026
Track on Signal Processing and Neural Engineering (SPNE)
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.
SAC 2026
For the past thirty-seven years, the ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. ACM SAC is structured in multiple technical tracks. Each track is devoted to a specific research area, and is coordinated by one or more Track Chair(s). The complete list of the technical tracks selected for the current edition of SAC can be found on the SAC 2026 website.
SAC 2026 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), will be held in Thessaloniki, Greece.