Our group’s research centers around the analysis and development of Machine Learning and Data Analytics methods with two core directions: (i) robustness and reliability of learning, and (ii) handling complex, non-independent data such as graphs/networks or temporal data. On the left, we provide more details on specific topics along with the code of some of our recent works.