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
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) learning and modeling, 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 community seismic and traffic sensing, autonomous robotic exploration of biological ecosystems, securing water distribution networks and information gathering on the web.