Applications of Data Science
Including: Cloud computing and big data analytics, Recommender system, Knowledge graph and network models with applications, Knowledge graph construction and refinement, Knowledge-driven applications, Crowdsourcing and human computation, Industrial internet, Computational biology, Computational finance, Analysis of big data, and Cavitation and fluid dynamics.
Basic Theories and Methods of Data Science
Including: Approximation and learning theory, Numerical algebra and optimization, Multivariate time-series, Mathematics modeling, and Operations and optimization.
Artificial Intelligent Technologies and Applications
Including: Connected intelligent vehicles, Algorithms for computer vision, AI Security, Artificial Intelligence of Things (AIoT), Medical imaging and Digital holography.
High Performance Computing
Including Scientific computing and high performance software, Computational statistics and statistical software, Distributed and edge computing, Algorithm-hardware co-optimization for cryptosystems, Software/hardware co-design for AI algorithms, and High-speed digital data processing system design.
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