12th International Conference on Signal Processing and Pattern Recognition (SIPR 2026)
August 22 ~ 23, 2026, Dubai, UAE Scope & Topics The 12th International Conference on Signal Processing and Pattern Recognition (SIPR 2026) serves as a premier global forum for presenting the latest advances, research innovations and emerging trends in digital signal processing, machine learning, computer vision and pattern recognition. As these fields continue to evolve at an unprecedented pace—driven by breakthroughs in artificial intelligence, multimodal learning and intelligent sensing—SIPR 2026 provides a vital platform for researchers, engineers, practitioners and industry experts from around the world to exchange ideas, foster collaboration and shape the future of intelligent systems.
SIPR 2026 brings together leading minds from academia, industry and research laboratories to discuss foundational theories, cutting edge algorithms, practical system implementations and high impact applications. The conference encourages contributions that explore both established and emerging areas, highlighting innovative methodologies, experimental results, real world deployments and visionary perspectives.
Authors are invited to submit high quality articles presenting original research results, ongoing projects, comprehensive surveys and industrial case studies that demonstrate significant advances in the broad domains of signal processing and pattern recognition. Submissions may address any of the conference topics, including—but not limited to—the areas listed below.
Topics of interest include, but are not limited to, the following Machine Learning & AI Foundations
- Deep Learning Theory & Optimization
- Self Supervised, Semi Supervised & Unsupervised Learning
- Generative AI: Diffusion, Autoregressive & GAN Models
- Diffusion Transformers (DiTs)
- Foundation Models & Multimodal Pretraining
- Parameter Efficient Finetuning (LoRA, Adapters, Prompting)
- Graph Neural Networks & Geometric Deep Learning
- State Space Models (SSMs) & Sequence Modeling
- Reinforcement Learning, Decision Making & World Models
- Probabilistic Modeling & Bayesian Deep Learning
- Large Scale Training Systems & Distributed Optimization
Computer Vision & Pattern Recognition
- 3D Vision, Reconstruction, NeRFs & Gaussian Splatting
- 4D Neural Rendering & Real Time Neural Light Fields
- Multi View, Multi Sensor & Cross Modal Fusion
- Object Detection, Tracking & Open World Recognition
- Scene Understanding, Segmentation & Open Vocabulary Models
- Vision Language Models & Visual Reasoning
- Long Video Understanding & Video LLMs
- Human Centric Vision: Pose, Motion, Interaction & Digital Humans
- Biometric AI: Face, Gait, Iris & Anti Spoofing
- Medical Image Analysis & Computational Pathology
- Remote Sensing, Earth Observation & Geospatial Vision
- Geospatial Foundation Models
- Video Understanding, Action Recognition & Event Reasoning
- AR/VR/MR, Spatial Computing & Embodied Perception
Embodied AI, Robotics & Agents
- Vision Language Action Models (VLA)
- Embodied AI & Interactive Perception
- Autonomous AI Agents & Tool Use
- Robot Learning, Manipulation & Navigation
Signal Processing
- Audio, Speech & Music Processing
- Spatial Audio, Beamforming & Array Processing
- Radar, Sonar, RF & Wireless Signal Processing
- Biomedical Signal Processing (EEG, ECG, EMG)
- Time Frequency, Time Scale & Spectral Analysis
- Compressed Sensing & Sparse Signal Processing
- Signal Processing for 5G/6G Communications
- DSP Hardware, FPGA, Edge AI & Embedded Systems
Emerging & Cross Disciplinary Areas
- Multimodal Fusion (Audio Vision Language Sensors)
- Retrieval Augmented Generation (RAG) for Vision & Audio
- Mixture of Experts (MoE) Architectures
- Edge AI, TinyML & On Device Intelligence
- AI Safety, Robustness & Adversarial ML
- Explainable, Trustworthy & Responsible AI
- AI Alignment, Governance & Responsible Deployment
- Privacy Preserving ML (Federated, Differential Privacy)
- Digital Twins, Simulation & Synthetic Data Generation
- Synthetic Data, Data Engines & Auto Labeling Systems
- Quantum Signal Processing & Quantum Machine Learning
- Continual Learning, Test Time Adaptation & Lifelong AI
Applications
- Healthcare & Biomedical AI
- Autonomous Driving, Robotics & Intelligent Transportation
- Smart Cities, IoT & Sensor Networks
- Security, Forensics & Surveillance
- Climate, Environment & Sustainability
- Industrial AI, Predictive Maintenance & Automation
Paper Submission Authors are invited to submit papers through the conference Submission System by May 24, 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 The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from SIPR 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | May 24, 2026 | | Authors Notification | : | June 13, 2026 | | Final Manuscript Due | : | June 20, 2026 |
Co - Located Event ***** The invited talk proposals can be submitted to sipr@csen2026.org |
