I am Assistant Professor in Machine Learning and Artificial Intelligence at EMLyon Business School. My general research interests include Artificial Intelligence, Machine Learning, Deep Learning and Web Applications. In particular, AI-based decision-making and human in the loop machine learning.
Before that, I was a postdoctoral research associate at LIG (Grenoble Information Laboratory), Grenoble (2019-2022). I received my PhD in machine learning from Grenoble Alpes University (2016-2019) where I focused on classification and clustering of temporal data.
THEMES OF RESEARCH
Research Topics:- Time series classification/clustering/forecasting
- Deep learning for temporal data analytics
- Explainable artificial intelligence
- Deep learning interpretability
- Human-in-the-loop machine learning
Application Domain:
- Artificial intelligence for medical and biological data analysis
- Time series analysis in business and marketing
- Energy data analysis
- Customer behavior analysis (targeted marketing)
- Social media data analytics
