We study principles, techniques, and tools for acquiring, managing, and analyzing large and complex datasets throughout their whole lifecycle. We build and deploy software systems and software-hardware integrated systems to aid data-driven decision making and responsible data science in both the digital and the physical worlds.

Sub-areas:

• Data management
• Data visualization
• Systems for Machine Learning
• Data mining infrastructure
• Cloud and Cyberinfrastructure
• IoT and Cyberphysical systems