Research

We focus on research at the intersection of distributed systems and intelligent computing. 

First, we do work in the systems area. Quite often, we use machine learning techniques to build efficient, adaptive, resilient, usable, and secure distributed systems.

Second, we also work in the applications area. In many cases, we develop machine learning methods to provide high-quality solutions for computationally challenging and/or data-intensive domain-specific intelligent computing problems that profit from being executed in a parallel/distributed computing environment.