Scholar
Adeline Fermanian
Google Scholar ID: 3Mfclk8AAAAJ
Califrais
Citations & Impact
Citations
343
H-index
8
i10-index
8
Publications
18
Co-authors
18
list available
Publications
Resume (English only)
Background
- Currently Head of Research at Califrais, working on optimizing large-scale food flows to decarbonize the food supply chain.
- Research lies at the intersection of machine learning, logistics optimization, and ecology, covering demand forecasting, inventory optimization, and routing problems.
- Currently interested in the integration of uncertainty into optimization frameworks using machine learning, with industrial applications in mind.
- Other interests include time series analysis and deep learning theory.
- PhD thesis focused on applying signatures—a tool from stochastic analysis for extracting information from time series—to statistics and machine learning, both in designing new algorithms and analyzing existing deep learning models like RNNs via neural ODEs.
