Computer Science Laboratory of the
Paris-North University
www-lipn.univ-paris13.fr www-lipn.univ-paris13.fr
www-lipn.univ-paris13.fr
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Contacts
Conception - impression : service communication édition Université Paris 13 - octobre 2012
By public transport
From Paris, go to Gare du Nord, and take a train (platforms 30 to 36) to the Epinay-Villetaneuse railroad station. Then, 50 meters near the exit of the station, take the RATP bus 156 (or 354, or 356) and exit at "Université Paris 13".
Bus 156: Epinay Villetaneuse (railroad Station) <-> St Denis (railroad Station)
or Bus 354: Epinay <-> Pierrefitte-Stains
or Bus 356: St-Denis University (metro station) <-> Deuil In each case, exit the bus at the "Université Paris 13" stop.
By car
From Paris by the A1 Freeway: follow the "Lille"
direction. Exit 3 "Beauvais-Sarcelles-Pierrefitte" then exit
"Villetaneuse-Enghien". After the mall roundabout, take right, direction "University".
Head Laure PETRUCCI
Phone +33 1 49 40 35 79 - Fax +33 1 48 26 07 12 dir@lipn.univ-paris13.fr
Computer Science laboratory of the Paris-North University Université Paris 13 - Institut Galilée
99, avenue Jean-Baptiste Clément - 93430 Villetaneuse 6 full-time CNRS researchers
72 teacher-researchers 48 doctoral students 20 Post-doc and engineers 5 staff and 3 engineers
Approximately 200 publications and 7 PhD per year 23 contracts
35 industrial partnerships
220 workstations 1200 m2 in one building
Budget : around 1,8 million € (without salaries) Université Paris 13 (21 %)
CNRS (7 %) Contracts (72 %)
Enghien Villetaneuse
Villetaneuse Enghien
Vers Lille Vers Paris
Porte de la Chapelle A1 sortie 3
sortie 4 Centre
commercial Université
Paris 13
membre fondateur de : L’Université Paris 13 est
A
3Headline
CALIN
AOC
LCR
RCLN Environnement
Teaching
Scientific Relations
Machine Learning and Applications Head: Céline ROUVEIROL
Machine Learning and Applications (A3) team tackles machine learning problems and covers a wide spectrum of issues, ranging from supervised learning and unsupervised to reinforcement learning. Its research is fed, coordinated and evaluated thanks to various applications in the field of the pattern recognition and data mining. A3 team develops fundamental research while intensifying its cooperation policy with large organisations and industry. Research in this team focuses on three main topics:
algebraic and logical models of learning, collaborative and transfer learning, and learning structures from heterogeneous data.
The Computer Science laboratory of Paris-North University (LIPN) has been associated with CNRS (UMR 7030) since January 1992.
Most of the LIPN researchers hold a permanent position at Paris 13 University, at Institut Galilée or IUT de Villetaneuse. Research at LIPN is carried out in its major areas of expertise, in particular Combinatorics, Algorithmics, Logics, Software, Natural Language Processing, Machine Learning, Combinatorial Optimisation.
LIPN develops fundamental research and has a cooperation policy with large organisations and companies. This policy leads to participating in European or international projects, ANR, etc. The industrial collaboration also includes CIFRE fellowships.
Additional information is available on the laboratory website.
Laure PETRUCCI
Combinatorics, Algorithmics, and Interactions Head: Frédérique BASSINO
The CALIN team brings together researchers having skills in various aspects of combinatorics (analytic, algebraic and bijective combinatorics), interested in complexity of algorithms to determine their behaviour in average or in distribution, in fine analysis of data structures and also in studying problems or use methods issued from physics. The team is organised into two axes: one focuses on combinatorial physics, the other is devoted to analysis of olgorithms and combinatorial structures.
Algorithms and Combinatorial Optimisation Head: Roberto WOLFLER CALVO
The AOC team has expertise in Operations Research, and Paral- lel and Distributed Computing. The team is organised around three strongly linked axes: Optimisation on graphs, Mathematical Programming, and Parallel and Distributed Computing. The main characteristic of the AOC team is that its expertise covers a large spectrum of topics either horizontal (from graph theory to heuristics) or vertical (from algorithm design to detailed implementation). The team exhibits many industrial collaborations (e.g. AirLiquide, Google, EDF, Nexedi, Mediamobile).
Logic, Computation and Reasoning Head: Stefano GUERRINI
Research in this team focuses on two main topics:
- Logic and its application to computer science, theory of computation, programming languages, computational issues of logical systems, graphical formalisms for proofs, formal proofs;
- Specification and verification of dynamic and distributed systems, development of model-checking techniques with a particular focus on compositional and modular approaches.
These researches are complemented by those carried out in the techniques domains of databases and data repositories and on the analysis of the temporal reference.
Knowledge Representation and Natural Language Head: Adeline NAZARENKO
Research in the RCLN team deals with Natural Language for its expressiveness capacity and Knowledge Representation, as it is linked to Natural Language Processing. These works cover four different complementary axes, which include both fundamental and applied research: Computational linguistics for specialised languages, Corpus semantic analysis and annotation, Text-based Knowledge Engineering, Semantic Information Access.
Situated in the North of Paris, University Paris 13 develops high-level training and research activities in most topic areas. Its high-level master programmes and its undergraduate degrees are suited to every student profile.
Key figures:
• 900 teacher-researchers,
• 700 staff,
• 23 000 students on five campuses :
Villetaneuse, Bobigny, Saint-Denis, Saint-Denis La Plaine and Argenteuil
• 9 faculties and institutes,
• 2 doctoral schools,
• 3 libraries,
• 30 laboratories,
• partnership with CNRS and INSERM.
Since February 2010, the University has joined the very first Parisian PRES (Pôle de Recherche et d’Enseignement Supérieur – Research and Higher Education Cluster) called "Sorbonne Paris Cité". Boasting 120,000 students, including 6,700 PhD students and 5,650 teachers- researchers, it is already an internationally recognised cluster with international outreach, status that will be reinforced by cooperation between members.
Paris 13 university is also a key actor in the "Campus Condorcet”
project initiated in June 2010. The emergence, by 2016, of a centre of excellence for human and social sciences will reinforce the changes occurring in the north of Paris where Paris 13 university extends its influence.
LIPN members deliver courses at all levels:
• Masters:
- Machine learning & Data mining, - Programming Tools and Safety
• Technology Institute: IUT de Villetaneuse
• Enginneering School: Sup’Galilée Doctoral studies: 60 PhD, 20 HDR since 2007.
LIPN has strong scientific connections with worldwide research, and is involved in numerous national and international projects:
• National
- GdR du CNRS : Informatique-Mathématique, Recherche Opérationnelle, Renormalisation.
- ANR
• Competitive clusters - Cap Digital - System@tic - Advancity
• European and International:
- STREP, TOK, Marie Curie, PHC, etc.
