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UID:528@lincs.fr
DTSTART;TZID=Europe/Paris:20200212T140000
DTEND;TZID=Europe/Paris:20200212T150000
DTSTAMP:20200212T151433Z
URL:https://www.lincs.fr/events/insights-from-heterogeneous-random-walks/
SUMMARY:Insights from heterogeneous random walks: from theory to
 applications
DESCRIPTION:First I will introduce our model\, heterogeneous continuous
 time random walk (HCTRW) model as a versatile analytical formalism for
 studying and modeling diffusion processes in heterogeneous structures\,
 such as porous or disordered media\, multiscale or crowded environments\,
 weighted graphs or networks.\nAfter some theoretical results about this
 random walk model\, diffusive dynamics and the spectral properties of the
 generalized transition matrix. In particular\, we will talk about important
 property\, the distribution of the first passage times changes due to local
 and global heterogeneities of the medium. The HCTRW formalism offers a
 unified mathematical language to address various diffusion-reaction
 problems\, with numerous applications in material sciences\, physics\,
 chemistry\, biology\, and social sciences. We will also discuss some
 possible applications for mobility and epidemiological models.\nBio:\nI
 have been working in theoretical physics\, mathematics\, data analysis\,
 computer science and applications to biology\, climatology\, social
 science\, epidemiology and education. During my Phd I was working in
 Humboldt University and Potsdam Climate Institute in Marie-Curie project on
 developing network methods for big data analysis &gt\;here&lt\;\, then I
 did several postdocs in Ecole Polytechnique working on transport in crowded
 environments (here) After I got fellowship at CRI to work on mobilit\,
 epidemiological models and data analysis methods applied to metascience and
 health data. Some publications are here on Google Scholar.\n\nCurrently I
 am researcher in Bell labs in Data Analytics team.
CATEGORIES:Seminars,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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TZID:Europe/Paris
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DTSTART:20191027T020000
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TZOFFSETTO:+0100
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