Conference Information

SSPS 2026: International Symposium on Signal Processing Systems

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Submission Date:
2026-03-20 Extended
Notification Date:
2026-04-15
Conference Date:
2026-05-08
Location:
Bangkok, Thailand
Years:
8
Viewed: 19953   Tracked: 9   Attend: 4

Conference Partner Index (CP-I)

48.0 / 100
Ranked #1,980 of 5,658 conferences · Top 35%

#131 of 507 in Electrical & Electronic Engineering

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
59
Community attention (10%)
34
Public record completeness (15%)
35

Inputs used: Editions on record: 8 · Researchers following it here: 9 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-10

Call For Papers

SSPS 2026 (International Symposium on Signal Processing Systems) is an academic conference held in Bangkok, Thailand on 2026-05-08. The paper submission deadline is 2026-03-20 (extended). Acceptance notifications are sent on 2026-04-15.

The topics are not limited to those as below: Machine Learning for Signal Processing Deep learning/machine learning/AI algorithms Tools/platforms for AI Edge and cloud AI computing platforms Hardware/neuromorphic accelerators Hardware/software co-design and automation for AI Design Methods of Signal Processing Systems Optimization of signal processing algorithms Compilers and tools for signal processing systems Algorithm-to-architecture transformation Dataflow-based design methodologies Error-tolerant techniques for signal processing Signal Processing Application Systems Audio, speech, and language processing Biomedical signal processing and bioinformatics Image, video, and multimedia signal processing Information forensics, security, and cryptography Sensing and sensor signal processing Signal processing for non-volatile memory systems Latency-and power-constrained signal processing Wireless communications and MIMO systems Coding and compression Signal processing for mixed-signal technologies Data Fusion and Intelligent Control Optimal Control Nonlinear Systems and Control Adaptive Control and Learning Control Deep learning method Industrial Artificial Intelligence AI-based Control, Intelligent Control Network Intelligence and Network Control Transport Control Theory and Methodologies Multi-sensor data fusion model Statistical estimation algorithms for information fusion Model-order reduction techniques for information fusion
Last updated by Dunn Carl on

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