The 2026 International Conference on Big Data, Machine Learning and Intelligent Computing (BDMLIC 2026) will be held on September 28–30, 2026 in Shenzhen, China. The conference is dedicated to bringing together experts, scholars, researchers and technicians in the fieldofbig data, machine learning and intelligent computing in an international event. The main objective of the conference is to provide an open, sharing and communication platform for practitioners and researchers in the related fields to discuss and share the latest scientific research results, cutting-edge technologies, and to gain a deeper understanding of the new trends in the industry. We sincerely invite you to participate in this conference and work together to promote the research and development of big data, machine learning and intelligent computing.

The topics of interest for submission include, but are not limited to:

◕ Big Data

Big Data Representation
Big Data Analysis and Processing
Big Data Structure, Big Data Fusion
Big Data Genetics
Big Data Technology
Big Data Privacy
Data Information and Communication Technology
Wireless Communication Data
Data Transmission and Data Acquisition
Information Science
Big Data and Artificial Intelligence
Big Data and Internet
Big Data and Deep Learning

◕ Machine Learning

Deep Learning
Neural Networks
Visual Feature Learning
Target Detection And Image Segmentation Algorithms
Multimodal Visual Information Fusion
3D Vision And Point Cloud Data Learning
Medical Image Machine Learning Applications
Visual Perception Under Multi-Sensor Fusion
Self-Supervised Learning
Reinforcement Learning And Multi-Agent Systems
Transfer Learning And Lifelong Learning
Federated Learning And Privacy Protection
Automatic Machine Learning (AutoML)
Neural Architecture Search (NAS)
Adversarial Machine Learning
Model Interpretability
Model Robustness And Security
Quantum Machine Learning

◕ Intelligent Computing

Genetic Algorithm
Simulated Annealing Algorithm
Tabu Search Algorithm
Evolutionary Algorithm
Heuristic Algorithm
Ant Colony Algorithm
Artificial Fish Swarm Algorithm
Particle Swarm Algorithm
Hybrid Intelligent Algorithm
Immune Algorithm
Rough Set Theory
Neural Network
Biological Computing
DNA Computing
Quantum Computing
Intelligent Computing and Optimization
Pattern Recognition
Knowledge Discovery
Data Mining
Information Security
Medical Diagnosis
Intelligent Computing Applications