(The following topics include but are not limited to)
Topic 1. Biomedical Engineering
Biomedical signal processing
Medical big data and machine learning
AI and Biomedical Signal Processing
Analyze electrocardiogram, PCG, electroencephalogram, electromyogram, blood pressure, pulse, respiration and sleep signals
Telemedicine, mobile healthcare, precision healthcare
Clinical application of chronic disease detection
Rehabilitation engineering and clinical engineering
Wearable devices and signal processing
Biomedical instruments and sensors
Medical information technology
Topic 2. Machine Learning
Deepen and intensify learning
Pattern recognition and classification of networks
Machine learning for network slicing optimization
Machine learning 5G system
Machine learning for user behavior prediction
New and innovative machine learning methods
Optimize machine learning methods
Performance Analysis of Machine Learning Algorithms
Experimental evaluation of machine learning
Data mining in heterogeneous networks
Machine learning multimedia
Internet of Things machine learning
Security and Protection of machine learning
Distributed and decentralized machine learning algorithms, etc
Theme 3. Intelligent Computing
Cloud computing technology/application
Intelligent computing, edge computing, biological computing, embedded computing, neural network computing
Blockchain, computational modeling
Intelligent planning
Neural computing
Visual perception, language perception
Evolutionary and swarm algorithms, derivaticless optimization algorithms
Fuzzy Sets and Fuzzy Logic
Intelligent model
Hybridization of algorithms
Intelligent search
Evolutionary computation
Particle swarm optimization algorithm