inma

Adeline Decuyper, 

Ph.D. student, Aspirante FNRS.

Large Graphs and Networks

CESAME (CEntre for Systems engineering and Applied MEchanics)
 
ICTEAM (Institute for Information and Communication Technologies, Electronics and Applied Mathematics)

UCLouvain (Université catholique de Louvain)

Voir le profil de Adeline Decuyper sur LinkedIn

Adeline
Postal address:
SST/ICTM/INMA
Euler Building
Avenue Georges Lemaître, 4, bte L4.05.01
B-1348 Louvain-la-Neuve
Belgium

Phone:
+32 (0)10 47 80 46
Email:
email
Office:
Euler a.224
Research Teaching   Resume   Publications and talks


Research Projects
My current research is about exploration of Big Data and extraction of useful information from large databases. In particular, my thesis has mostly been about exploring mobile phone databases. This field of research has a wide variety of applications, ranging from community detection on large graphs, to mobiliy modeling or monitoring epidemics. During my thesis, I've focused mainly on the modeling of spreading processes on large networks of contacts, and more recently I've been very interested in the use of mobile phone data to help countries towards development.

In this context, I've helped in the organization of the Orange D4D challenge in 2013, and this year I spent the spring of 2014 in New York, working in partnership with the United Nations Global Pulse and Real Impact Analytics, on a project to use mobile phone data to monitor food security in Africa.

My research interests more generally include all dynamical aspects of network theory, spreading processes and temporal networks as well as applications of big data towards development.

My Ph.D. advisors are Vincent Blondel and Jean-Charles Delvenne. My Ph.D. committee also includes Paul Van Dooren and Michel Verleysen.

I work at UCLouvain in the applied mathematics department (INMA), in the research group on Large Graphs and Networks.

Teaching

Resume
I am currently an F.R.S.-FNRS research fellow for my Ph.D. thesis (2011-2015), and I'm currently writing my thesis, to be presented in September 2015.

I did my master's degree in mathematical engineering (ingénieur civil en mathématiques appliquées) at the Ecole polytechnique de Louvain (2009-2011). I spent my first year of master's as an exchange student at the Royal Institute of Technology in Stockholm, Sweden, under the program of Cluster Dual Degree. I did my master's thesis under the supervision of Vincent Blondel and Paul Van Dooren on the statistical analysis of the Belgian mobile phone network. In the context of my master's thesis, I had the opportunity to spend a few weeks as a visiting student at MIT.

During my thesis, I helped organize NetMob 2013, the third international conference on the analysis of mobile phone datasets, along with the Orange D4D challenge on data from Côte d'Ivoire.

I also had the opportunity to spend a few months in New York in 2014, working with UN Global Pulse on a project of data for development. I very much enjoyed exploring the uses of data for good, and I am convinced that in the future, more and more of these Big Data will be harnessed to serve for development purposes, or crisis prevention.


Publications and talks
Review Paper:

    V. D. Blondel, A. Decuyper, G. Krings, A survey of results on mobile phone datasets analysis, arXiv
    preprint arXiv:1502.03406 (2015). [arXiv]

Research Papers:

    A. Decuyper, A. Rutherford, A. Wadhwa, J.-M. Bauer, G. Krings, T. Gutierrez, V. D. Blondel, M. A.         Luengo-Oroz, Estimating Food Consumption and Poverty indices with Mobile Phone Data, arXiv             preprint arXiv:1412.2595 (2014). [arXiv]
    This project was also featured in MIT Tech Review and on Global Pulse's website.

    M. Tizzoni,  P. Bajardi, A. Decuyper, G. Kon Kam King, C. M. Schneider, V. D. Blondel, Z. Smoreda,     M.C. Gonzàlez, V. Colizza, On the use of human mobility proxies for modeling epidemics, PLoS                 computational biology 10(7), 1003716 (2014). [PDF]

Book Chapter:

    L. E. C. Rocha, A. Decuyper, and V. D. Blondel. Epidemics on a stochastic model of temporal network.     In Animesh Mukherjee, Monojit Choudhury, Fernando Peruani, Niloy Ganguly, and Bivas Mitra,
    editors,  Dynamics On and Of Complex Networks, Volume 2, Modeling and Simulation in Science,
    Engineering and Technology, pages 301–314. Springer New York, 2013. [PDF]

Press:

    A. Decuyper, V.D. Blondel, Une vie privée est-elle encore possible?, La Recherche 482 (Dec 2013)
    [Article on Big Data (French)]


Talks:
    Monitoring food security with mobile phone data, Ignite Talk
    Big Data Innovation Summit - Made in Belgium, Brussels, March 2015
   
    Exploring mobile phone data and its uses towards development,
    ICTEAM tutorial seminar, Louvain-La-Neuve, Belgium, November 2014.

    Estimating food consumption and poverty indices with mobile phone data,
    seminar Big Data ARC research group, Louvain-La-Neuve, Belgium, October 2014.

    Time independent degree distributions in mobile phone networks,   
    Benelux Meeting, Houffalize, Belgium, March 2013.

    Latest progress on a mysterious distribution in large networks,  
    UCL-INMA Largre Graphs and Networks seminar, Louvain-La-Neuve, Belgium, November 2012.

    Epidemics on a stochastic model of temporal network,
    Benelux Meeting, Heijen, The Netherlands, March 2012, and
    Symposium on Mathematical Theory of Networks and Systems, Melbourne, Australia, July 2012.

    A Statistical Analysis of the Belgian Mobile Phone Network,
    UCL-INMA Large Graphs and Networks seminar, Louvain-la-Neuve, Belgium, March 2011.

last update: March 2015