7th International Conference on Signal Processing and Machine Learning (SIGML 2026)
March 14 ~ 15, 2026, Vienna, Austria
https://ccseit2026.org/sigml/index
Scope & Topics
7th International Conference on Signal Processing and Machine Learning (SIGML 2026) serves as a premier global forum for presenting and exchanging innovative research, methodologies, and applications in Signal Processing and Machine Learning. The conference aims to bring together researchers, practitioners, and industry experts to discuss recent breakthroughs, emerging trends, and cutting‑edge developments shaping the future of the field.
Authors are invited to submit original research papers, case studies, survey articles, and industry‑driven contributions that demonstrate significant advances in, but not limited to, the following areas.
Topics of interest include, but are not limited to, the following
Signal Processing
Advanced Digital Signal Processing
Statistical, Adaptive & Multirate Signal Processing
Sparse, Compressive & High Dimensional Signal Processing
Signal Processing for 5G/6G Communications
MIMO, OFDM & Next Generation Transmission Techniques
Signal Processing for IoT & Cyber Physical Systems
Multimodal Signal Processing
Audio, Speech & Acoustic Signal Processing
Biomedical, Neural & Physiological Signal Processing
Remote Sensing, Radar, LiDAR & Earth Observation
Signal Processing for Edge, Embedded & Low Power Systems Imaging, Vision & Multimedia
Image, Video & Multimodal Data Processing
Computational Imaging & Image Reconstruction
High Dimensional Imaging (Hyperspectral, Light Field, Radar, MRI)
3D Vision, Scene Understanding & Reconstruction
Motion Analysis, Tracking & Visual SLAM
Image/Video Compression, Transmission & Quality Assessment
Generative Vision Models (Diffusion, GANs, NeRFs)
Vision Language Models & Multimodal Fusion
Efficient Vision Models for Real Time & Edge Deployment Machine Learning Theory & Methods
Deep Learning Architectures & Optimization
Self Supervised, Weakly Supervised & Unsupervised Learning
Reinforcement Learning & Sequential Decision Making
Graph Neural Networks & Structured Learning
Continual, Lifelong, Transfer & Meta Learning
Causal Inference & Causal Representation Learning
Probabilistic Modeling, Bayesian Methods & Variational Inference
Large Scale Optimization for ML
Foundation Models & Large Scale Pretraining
Trustworthy, Responsible & Secure AI
Robustness, Adversarial ML & Secure Learning
Explainability, Interpretability & Transparency
Fairness, Bias Mitigation & Ethical AI
Privacy Preserving ML (Differential Privacy, Federated Learning)
Safety, Reliability & Governance of AI Systems
Efficient ML Systems & Hardware
Model Compression, Pruning & Quantization
Efficient Training & Inference Algorithms
Distributed, Federated & Edge Learning
TinyML & Ultra Low Power ML
Hardware Accelerated ML (GPU/TPU/ASIC/Neuromorphic/Photonic)
Systems for Large Scale ML & Foundation Models
Applications & Emerging Domains
ML & Signal Processing for IoT and Industrial IoT
Autonomous Systems, Robotics & Embodied Intelligence
Healthcare, Bioinformatics & Wearable Sensing
Smart Cities, Transportation & Infrastructure
Environmental Monitoring, Climate Analytics & Sustainability
Finance, Security, Fraud Detection & Risk Modeling
Human Computer Interaction & Affective Computing
ML for Communications, Networking & Spectrum Management
Scientific ML & Frontier Topics
Physics Informed Neural Networks (PINNs)
ML for Scientific Discovery & Engineering
Quantum Signal Processing & Quantum Machine Learning
Neuro Symbolic AI
Multimodal AI Systems
Benchmarking, Datasets, Evaluation & Reproducibility
Paper Submission
Authors are invited to submit papers through the conference Submission System by February 21, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from SIGML 2026, after further revisions, will be published in the special issue of the following journals
Machine Learning and Applications: An International Journal (MLAIJ)
Signal & Image Processing : An International Journal (SIPIJ)
Information Technology in Industry (ITII)
Important Dates
Submission Deadline: February 21, 2026
Authors Notification: March 03, 2026
Registration & Camera-Ready Paper Due: March 07, 2026
Contact Us
Here's where you can reach us: sigml@ccseit2026.org (or) sigmlconfe@yahoo.com
For more details, please visit: https://ccseit2026.org/sigml/index
Paper Submission Link: https://ccseit2026.org/submission/index.php