- Algorithms and numerical systems
- Fundamentals for software design
- Signals and systems
- Introduction to Data Science
- Project in avionics (drone simulation with ardupilot)
- Applied Machine Learning
- Advanced design project
- Smart data (data mining and machine learning)
I am an associate professor at ISAE-ENSMA and a member of the Data and Model Engineering team at LIAS since 2013.
Energy data management and forecasting
My PhD thesis focused on distributed data management solutions on flash memories to handle sensor data produced by power plants at EDF, a worldwide leading energy company. In this project, we developed a specialized NoSQL system, named Chronos, distributed under an open-source license, along with a benchmark designed to evaluate DBMSs in the context of industrial process data management.
Since 2018, I collaborated with two local industrial partners: SRD (an electricity distribution operator) and Nexeya (an energy storage solutions manufacturer) to perform predictive analysis of energy consumption and production.
In 2012-2013, I held a postdoctoral research position at LIRIS on pattern mining within the ANR DAG project, in wich we designed a Rule Query Language (RQL). RQL is a SQL-like pattern mining language that extends and generalizes functional dependencies to new and unexpected rules. A web-based prototype has been made available for research and educational purposes.
Since 2016, I have been working on query relaxation on top of RDF knowledge bases to answer why-empty, why-so-many and why-so-few questions on SPARQL queries.