Abdelmouksit SAGUENI

Overview: Experienced mathematician with a focus on geometric measure theory. Currently, I am exploring the intersection of mathematics and artificial intelligence, with a keen interest in applications in data science, and imaging. 

Please find my CV in English, en Français.
My thesis manuscript is available here, and my defense slides are available here.

Data challenges: 

In my spare time, I work on data challenges from platforms like Kaggle and ChallengeData.ENS,  here are some examples:

• Electricity price forecasting (by Elmy) .

• InsurPrime: Can You Guess the Insurance Premium? (by Credit Agricole Assurances).

• How do you fill in the missing values for customer electricity consumption? (by Enedis).

You can find my solutions on my GitHub page.

My research articles: 

- Approximate mean curvature flows of a general varifold, and their limit spacetime Brakke flow (to appear). In collaboration with B. Buet, G-P Leonardi and S. Masnou. 

- On the avoidance principle for codimension 1 spacetime Brakke flows. Preprint

- Integral Brakke approximate equality for an approximate mean curvature flow . Preprint

- Approximations of the mean curvature, and the Buet-Rumpf approximate mean curvature flow. Preprint