Laboratoire LIG – Bâtiment IMAG
Université Grenoble Alpes
38058 GRENOBLE CEDEX 9
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.
- MS in Computer Science (UJF Grenoble/UFR IMAG, 2014)
- Research Engineer in road transport and logistics (2011-2013).
- MS in Industrial Engineering (Grenoble INP – Génie Industriel, 2010).
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.