Home

Julien Pilourdault

idJPilourdault

PhD Student
PhD Thesis: Scalable Algorithms for Monitoring Activity Traces
Laboratoire d’Informatique de Grenoble (LIG)
ScaLable Information Discovery and Exploitation (SLIDE) Team

Supervisors

Sihem Amer-Yahia, DR1 CNRS at LIG, Grenoble
Vincent Leroy, Associate Professor, University of Grenoble

Contact

Location

Laboratoire LIG – Bâtiment IMAG – Université Grenoble Alpes
700 avenue Centrale
38401 Domaine Universitaire de Saint-Martin-d’Hères – FRANCE

Office: 315

Address

Laboratoire LIG – Bâtiment IMAG
Université Grenoble Alpes
CS 40700
38058 GRENOBLE CEDEX 9

Mail

firstname.lastname@imag.fr

Research Interests

Monitoring data evolving over time is a key ability to handle Big Data velocity. In network traffic administration, an analyst may want to query traffic data to understand causality between events. On a crowdsourcing platform, an administrator may want to monitor workers’ arrival, task completion, and optimize task assignment to workers in a continuous manner. These are some example of systems that usually produce large amounts of data in the form of logs or streams. The goal of my PhD thesis is to develop efficient tools to monitor such datasets.

Background

Publications

Motivation-Aware Task Assignment in Crowdsourcing [pdf]
Pilourdault, J., Amer-Yahia, S., Lee, D., Basu Roy, S. – In EDBT 2017.
Task Composition in Crowdsourcing [pdf]
Amer-Yahia, S., Gaussier, E., Leroy, V., Pilourdault, J., Borromeo, R. M., & Toyama, M. – In DSAA 2016.
Distributed Evaluation of Top-k Temporal Joins [pdf]
Pilourdault, J., Leroy, V., & Amer-Yahia, S. – In SIGMOD 2016.

Featuring WPMU Bloglist Widget by YD WordPress Developer