Our group is interested in understanding, modeling, and leveraging data toward solving real-world problems involving massive and/or streaming data.
We specifically focus on discovering the trends and patterns in the data toward identifying rare, anomalous, fraudulent, and/or emerging events.
Our goal is to invent effective and scalable computational methods for mining and learning from multi-modal data; including graphs, time series, and meta-data.
We are located at Hamburgh Hall 3rd Floor, Room 3037.
Please refer to CMU’s legal hub for details.