Faculty

Optimization Statistics Data science Machine learning Signal processing

Probability Statistics Mathematical data science Convex optimization Discrete mathematics

Computational Geometry and Shape Analysis Data Science Applications Engineering and Mathematics Education Statistical Learning and Bayesian Methods Time Series Analysis

Machine learning Data science Probability

Theory and applications of convex and non-convex optimization in large-scale machine learning and data science problems

Math of data science Stochastic and convex geometry Point processes High dimensional probability Statistical learning theory

Large-scale graph machine learning Graph neural networks Signal processing Data science

Optimization for data science machine learning and optimization representation learning graph neural networks

Applied mathematics Data science Machine learning Intelligent systems