ACM SenSys 2025

Date: May 06, 2025 8:00 am – May 09, 2025 6:00 pm
Location: Irvine, CA

The 23rd ACM Conference on Embedded Networked Sensor Systems In transition to Conference on Embedded Artificial Intelligence and Sensing Systems

Announcement from the Joint SenSys, IPSN, and IoTDI Steering Committee: 

We are excited to announce the plans of merging three leading conferences — SenSys, IPSN, and IoTDI — into a single premier event under the new name SenSys: Embedded Artificial Intelligence and Sensing Systems. This unified conference will focus on advancing research at the intersection of sensing systems and embedded artificial intelligence. Originating from distinct yet complementary research areas, these three conferences have driven innovation across multiple disciplines, including sensor networks, embedded systems, mobile computing, wireless communication, signal processing, data science, and AI-driven applications. As intelligent sensing systems continue to permeate diverse research domains, the necessity for a unified, high-impact forum has become apparent. The newly expanded SenSys conference will provide a comprehensive platform where researchers and industry professionals can converge to present state-of-the-art research, exchange novel ideas, address key challenges, and shape the future of the field.

SenSys'25 will continue as a SenSys event (Conference on Embedded Networked Sensor Systems), while the merger with IPSN and IoTDI is pending final approvals of the ACM and the IEEE. SenSys'25 will bring the three communities together and mark an important milestone in the transition toward a fully unified conference. The merger will be finalized as soon as the necessary approvals and structure are in place. SenSys 2025 will be collocated with CPS-IoT Week 2025, providing a unique opportunity for interdisciplinary exchange. All accepted papers in 2025 will be published in the ACM SenSys proceedings. In addition, we are exploring the possibility of introducing multiple submission deadlines in the future.

Submitted by Jason Gigax on
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