Anika Schumann

Anika PhD Candidate
Model-based Diagnosis of Dynamic Systems

Mailing Address:
Computer Sciences Laboratory, RSISE
The Australian National University
Canberra, ACT 0200, Australia

Email: anika.schumann-AT-anu.edu.au
Phone: (+61) 2 6125 8815

I recently finished my PhD where I worked on the automated diagnosis of large-scale systems like telecommunication or power supply networks.  These systems are mostly composed of many different components and I have looked at how to compactly gather as much local failure information as possible from the components and how to efficiently combine this data to reason about possible problems in the whole system. The timely and accurate identification of failures will allow the automatic planning of actions to reconfigure the systems and thus remedy the failures to improve the system's performance. 


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