Call for Papers
ICIAAI 2027 invites submissions of original and unpublished research papers addressing theoretical developments, practical applications, and interdisciplinary advances in AI and image-related technologies.
Call for papers
Topics of interest
Topics of interest include, but are not limited to, the following areas:
01
Track 1: Image Processing and Analysis
Image Enhancement and Restoration
Image Quality Assessment
Image Filtering and Denoising
Medical Image Processing and Analysis
Image Segmentation and Feature Extraction
Remote Sensing Image Processing
Image Registration and Reconstruction
Multispectral and Hyperspectral Image Analysis
Image Compression and Coding
Image Representation and Visualization
02
Track 2: Computer Vision and Pattern Recognition
Object Detection, Recognition and Tracking
Motion Estimation and Analysis
Face Recognition and Biometrics
Visual Surveillance and Intelligent Monitoring
Image Classification and Scene Understanding
Gesture Recognition and Human Activity Analysis
Video Analysis and Understanding
Optical Character Recognition and Document Analysis
3D Computer Vision and Reconstruction
Visual Perception and Scene Interpretation
07
Track 3: Algorithms and Computational Intelligence
Design and Analysis of Algorithms
Graph Theory and Network Algorithms
Intelligent Optimization Algorithms
Numerical Algorithms and Scientific Computing
Evolutionary Computation and Genetic Algorithms
Parallel and Distributed Algorithms
Swarm Intelligence and Bio-inspired Algorithms
Combinatorial Optimization
Metaheuristic Algorithms
Quantum Computing and Quantum Algorithms
04
Track 4: Artificial Intelligence and Machine Learnings
Machine Learning Algorithms and Applications
Federated and Distributed Learning
Deep Learning Models and Architectures
Explainable and Trustworthy Artificial Intelligence
Artificial Neural Networks
Generative Artificial Intelligence
Supervised and Unsupervised Learning
Large Language Models and Foundation Models
Reinforcement Learning
Representation Learning and Self-supervised Learning
Transfer Learning and Domain Adaptation
Few-shot and Zero-shot Learning
05
Track 5:Data Science and Intelligent Information Processing
Data Mining and Knowledge Discovery
Multimodal Data Processing and Fusion
Big Data Analytics and Processing
Pattern Analysis and Recognition
Data Management and Information Retrieval
Intelligent Decision Support Systems
Natural Language Processing
Information Extraction and Knowledge Representation
Speech Recognition and Processing
Time Series Analysis and Prediction
06
Track 6: Intelligent Systems and AI Applications
Intelligent Robotics and Autonomous Systems
AI Applications in Healthcare and Medicine
Autonomous Driving and Intelligent Transportation
Intelligent Control Systems
Intelligent Manufacturing and Industrial Automation
Cyber-Physical Systems
Internet of Things and Edge Intelligence
Smart Sensors and Intelligent Sensing
Human-Computer Interaction and Human-AI Interaction
AI Applications in Engineering and Science