Zoltan Miklos

Zoltan Miklos

Sand dune ripples

I am an assistant professor (maitre de conferences) at University of Rennes 1. I am a member of the DRUID research team of the IRISA laboratory.

Research interests

Data management; knowledge discovery; artificial intelligence

News



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Contact details

Zoltan Miklos

Univ Rennes CNRS IRISA
Campus universitaire de Beaulieu
263 Avenue du General Leclerc - Bat 12 (D267)
F-35042 Rennes Cedex
France
Tel: (+33) 2 99 84 22 54
Fax: (+33) 2 99 84 71 71
email:
email:
orcid.org/0000-0002-3701-6263
office hours: by appointment
linkedIn: https://www.linkedin.com/in/zoltanmiklos/
twitter: https://twitter.com/zoltanmiklos
Parliament Budapest Hungary Schloss Schönbrunn Wien 2014 (Zuschnitt 2) Radcliffe Camera, Oxford - Oct 2006

Short bio

I am an assistant professor (maitre de conferences) at University of Rennes 1. Before joining Universite Rennes 1, I worked as a postdoctoral researcher at EPFL, in Switzerland. I completed my doctoral studies in computer science at University of Oxford. I used to work as a research assistant at the Database and Artificial Intelligence Group, of the Vienna University of Technology, at the Vienna University of Economics and at the Distributed Systems Group at the Vienna University of Technology. I pursued my undergraduate studies at the University ELTE, in Budapest, Hungary.

I am a senior member of the ACM. I am also a member of some ACM special interest groups: on management of data SIGMOD, on Knowledge Discovery and Data Mining SIGKDD and on artificial intelligence SIGAI.

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Teaching

Director of the study track Information Systems of ESIR (University of Rennes 1).

ESIR

ISTIC Master Science Informatics

Past courses

ENS Rennes

ESIR

Social Network Analysis Visualization Meccano

Projects

ANR In the Epique project we develop methods to map the evolution of scientific fields, based on large-scale publication datasets.


ANR In the HEADWORK project we try to realize workflows of crowdsourcing tasks.


OrangeLabs We collaborate with OrangeLabs to develop methods to store large dynamic graphs that represent the connection networks of IoT devices.


ALTEN With the company ALTEN we explore how to use artificial intelligence methods for human resources tasks, in particular, in the context of consulting.





Past projects

Pharmaco-Epidemiologie des Produits de Sante (PEPS) ANSM

MASTODONS ARESOS: Reconstruction, Analyse et Acces aux Donnees dans les Grands Reseaux Socio-Semantiques (Grandes masses de donnees scientifiques - CNRS)

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Maria Massri (2019-) co-supervised by David Gross-Amblard

Francois Mentec (2019-) co-supervised by David Gross-Amblard

Rituraj Singh (2018-) co-supervised by Loic Helouet

Ian Jeanet (2017-) co-supervised by David Gross-Amblard

Past students

Panagiotis Mavridis (2014-2017), co-supervised by David Gross-Amblard, Using Hierarchical Skills for Optimal Task Selection in Crowdsourcing

Publications

My DBLP page.
Some recent publications: Interior view of Stockholm Public Library Stockholm Public Library stacks An image of the stacks of the Stockholm Public Library Stockholm Public Library 03