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	<updated>2026-07-27T05:55:15Z</updated>
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		<id>https://murray.cds.caltech.edu/index.php?title=Marta_Kwiatkowska,_Feb_2012&amp;diff=13652</id>
		<title>Marta Kwiatkowska, Feb 2012</title>
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		<updated>2012-02-17T16:59:07Z</updated>

		<summary type="html">&lt;p&gt;Mf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Marta Kwiatkowska from the University of Oxford will be visiting on 21 Feb (Tue).&lt;br /&gt;
&lt;br /&gt;
=== Schedule ===&lt;br /&gt;
&lt;br /&gt;
* 10:30 am - meet with Richard Murray in 109 Steele&lt;br /&gt;
* 11:00 am - seminar&lt;br /&gt;
* 12:00 pm - Lunchtime seminar: Gabor Orosz&lt;br /&gt;
* 1:00-3:00 pm - Meeting with NCS group, 110 Steele&lt;br /&gt;
* 3:30-4:15 pm - Mihai Florian&lt;br /&gt;
* 4:15 pm - Ufuk&lt;br /&gt;
&lt;br /&gt;
=== Abstract ===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Quantitative Multi-Objective Verification for Probabilistic Systems&lt;br /&gt;
&lt;br /&gt;
Marta Kwiatkowska, University of Oxford&lt;br /&gt;
(joint work with V. Forejt, G. Norman, D. Parker and H. Qu)&lt;br /&gt;
&lt;br /&gt;
Abstract. We present a verification framework for analysing multiple&lt;br /&gt;
quantitative objectives of systems that exhibit both nondeterministic&lt;br /&gt;
and stochastic behaviour. These systems are modelled as probabilistic&lt;br /&gt;
automata, enriched with cost or reward structures that capture, for&lt;br /&gt;
example, energy usage or performance metrics. Quantitative properties of&lt;br /&gt;
these models are expressed in a specification language that incorporates&lt;br /&gt;
probabilistic safety and liveness properties, expected total cost or&lt;br /&gt;
reward, and supports multiple objectives of these types. We propose and&lt;br /&gt;
implement an efficient verification framework for such properties and&lt;br /&gt;
then present two distinct applications of it: firstly, controller&lt;br /&gt;
synthesis subject to multiple quantitative objectives; and, secondly,&lt;br /&gt;
quantitative compositional verification. The practical applicability of&lt;br /&gt;
both approaches is illustrated with experimental results from several&lt;br /&gt;
large case studies.&lt;br /&gt;
&lt;br /&gt;
=== Bio ===&lt;br /&gt;
&lt;br /&gt;
Marta Kwiatkowska is Professor of Computing Systems and Fellow of&lt;br /&gt;
Trinity College, University of Oxford. She was elected to Academia&lt;br /&gt;
Europea and received a prestigious ERC Advanced Grant VERIWARE &amp;quot;From&lt;br /&gt;
software verification to everyware verification&amp;quot;, 2010-15.&lt;br /&gt;
&lt;br /&gt;
Kwiatkowska&#039;s research is concerned with modelling and verification&lt;br /&gt;
techniques for probabilistic systems, with application to engineered and&lt;br /&gt;
biological systems. She spearheaded the development of probabilistic and&lt;br /&gt;
quantitative methods in verification on the international scene. Her&lt;br /&gt;
work on the theory to practice transfer of probabilistic model checking&lt;br /&gt;
was recognised by invitations to speak at the LICS 2003 and ESEC/FSE&lt;br /&gt;
2007 conferences. She led the development of the PRISM model checker&lt;br /&gt;
(www.prismmodelchecker.org), the leading software tool in the area and&lt;br /&gt;
widely used for research and teaching. Applications of probabilistic&lt;br /&gt;
model checking have spanned communication and security protocols,&lt;br /&gt;
nanotechnology designs, power management and systems biology. Her&lt;br /&gt;
research is currently supported by £3.7m of grant funding from EPSRC,&lt;br /&gt;
EU, DARPA, Oxford Martin School and Microsoft Research.&lt;br /&gt;
&lt;br /&gt;
Kwiatkowska serves on editorial board of IEEE Transactions on Software&lt;br /&gt;
Engineering, Philosophical Transactions of the Royal Society A and&lt;br /&gt;
Science of Computer Programming, and has lectured at several summer&lt;br /&gt;
schools, including ESSLLI and the Marktoberdorf Summer School.&lt;/div&gt;</summary>
		<author><name>Mf</name></author>
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