Topic (1) Statistics and Data Analysis

Statistical computing
Programming for statistical data analysis
Numerical methods for optimization and linear algebra
Monte carlo methods for statistical inference
Data partitioning and resampling
Numerical methods in statistics
Graphical methods in computational statistics
Exploring data density and structure
Statistical models and data fitting
Computing environment
Biostatistics and biocomputing
Categorical data analysis
Clustering and classification
Computer-aided data analysis
Computational bayesian methods
Computational econometrics
Data visualization
Extreme value theory and applications
Functional data analysis
High-dimensional data analysis
Kernel and monte carlo methods
Machine learning
Mixture models
Multivariate data analysis
Optimization heuristics in statistical modeling
Parametric and semi parametric models
Robust statistics
Signal processing
Spatial statistics
Symbolic data analysis
Time series analysis

Topic (2) Artificial Intelligence

Graph Convolutional Networks
Generative Adversarial Networks
Multi-modal Learning
Federated Learning
Edge Computing
Machine Learning
Natural Language Processing

Topic (3) Internet of Things (IoT)

Security and Safety design methods
Security verification
Security analysis
IoT lifecycle management

Topic (4) Industry and Production 4.0

Business Analytics
Predictive Maintenance
Digital Twin
Automated Quality Assurance