2026 International Conference on Intelligent Systems and Data Analytics(ISDA 2026) cordially invites researchers from around the world to share their experiences and insights, fostering fruitful discussions. We are now calling for high-quality submissions on topics including, but not limited to, those listed below. Submissions should present significant, original, and unpublished results:
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Track 1
Computational Intelligence, Inverse Problems and Intelligent Modeling
1. Model-Based and Data-Driven Inverse Problems
2. Physics-Informed and Knowledge-Guided Learning
3. Computational Reconstruction and Optimization
4. Generative and Probabilistic Models
5. Representation and Transfer Learning
6. Uncertainty Quantification and Explainable Intelligence
Track 2
Intelligent Perception, Computer Vision and Multimodal Information Fusion
1. Computer Vision and Visual Information Processing
2. Intelligent Perception and Scene Understanding
3. Multimodal and Multi-source Information Fusion
4. Multispectral and Hyperspectral Image Analysis
5. 3D Vision, LiDAR and Spatial Perception
6. Detection, Recognition and Tracking
Track 3
Intelligent Sensing, Edge Intelligence and Autonomous Systems
1. Intelligent Sensing and Sensor Data Processing
2. Edge Intelligence and Embedded AI
3. Real-Time and Resource-Efficient Intelligent Systems
4. Distributed and Collaborative Intelligence
5. Autonomous Systems and Intelligent Robotics
6. UAV, IoT and Cyber-Physical Intelligent Systems
Track 4
Data Analytics, Image Analysis and Information Processing
1. High-Dimensional and Multimodal Data Analytics
2. Image and Signal Analysis
3. Pattern Recognition and Anomaly Detection
4. Data Fusion and Information Extraction
5. Learning for Hyperspectral and Multispectral Data
6. Intelligent Analysis of Imaging and Sensor Data
Track 5
Computational Imaging and Intelligent Imaging Systems
1. Computational Imaging and Image Formation
2. Imaging Inverse Problems and Reconstruction
3. Compressive Sensing and Computational Reconstruction
4. Spectral, Hyperspectral and Polarimetric Imaging
5. Computational Photography, Microscopy and 3D Imaging
6. AI-Enabled Imaging Systems and Image Processing
Track 6
Industrial Intelligent Systems and Applications
1. Biomedical Imaging and Intelligent Healthcare
2. Environmental Remote Sensing and Climate Change Monitoring
3. Intelligent Manufacturing and Machine Vision
4. Environmental Monitoring and Precision Agriculture
5. Smart Cities, Transportation and Infrastructure
6. Security, Disaster Response and Emerging Applications