About me

Assistant Professor of Computer Science
California Institute of Technology
Ph.D. Computer Science, Carnegie Mellon University, 2008
Dipl.-inf., Dipl.-math., Technische Universität München, Germany, 2004
Email: krausea at caltech dot edu

Research interests

My research is in adaptive systems that actively acquire information, reason and make decisions in large, distributed and uncertain domains, such as sensor networks and the Web. The theoretical aspects include statistical (Bayesian) models, decision theory and optimization. We devise new algorithms, build models, analyze large and complex data sets and develop systems that can automatically acquire and reason about highly uncertain information. Example applications include intelligent building automation, monitoring urban traffic patterns, exploring biological ecosystems, securing water distribution networks, information gathering on the web.

I am a member of the Rigorous System Research Group (RSRG), the Computation and Neural Systems faculty and the Center for the Mathematics of Information at Caltech.