The IEEE MLSP 2026 invites paper submissions that are devoted to the most recent and exciting advances in machine learning for signal processing.

Please review our paper submission guidelines before submitting.

The topics covered in MLSP 2026 include but are not limited to:

Advanced optimization methods
Bayesian and probabilistic inference
Machine learning on graphs
Distributed/federated learning
Domain-aware processing
Information theory for learning
Learning from multimodal data
Machine intelligence for education
Meta/transfer learning
Privacy and fairness in machine learning
Tensor-based signal processing
Applications of machine learning
Biosignal processing and learning
Decentralised and edge communication, computing, and processing
Deep learning techniques
Graph representation learning
Kernel and dictionary learning methods
Learning theory and algorithms
Matrix and tensor learning methods
Subspace and manifold learning
Virtual and augmented reality data processing
Large Language Models
Multimodal Machine Learning
MLSP in Financial Engineering (Fintech)
MLSP in Healthcare and Aged Care
MLSP in Disaster Management
MLSP in Wireless Communications
MLSP in Neuroscience Applications
Submission of papers: Authors are invited to submit 6 pages full-length papers, including figures and references. All accepted and presented papers will be published in and indexed by IEEE Xplore.

Important Dates

Submission Portal Open: April 1st, 2026

Paper Submission Deadline: June 12th , 2026 11:59PM AOE (time is Anywhere on Earth https://time.is/Anywhere_on_Earth)

Notification of Acceptance: July 31st, 2026