Fight COVID-19


Since its official identification in December 2019 in Wuhan, China, Coronavirus disease 2019 (COVID-19) started to spread globally, resulting in an ongoing pandemic. In this work, we try to investigate how mathematical, statistical and data-driven models of the COVID-19 to understand factors promoting virus spread.

Flowchart illustrates the COVID-19 based SEIQRDP epidemic model, adopted from Fig.1 in [1].

This work was in collaboration with Mohamed A. Bahloul. Our proposed AI models focuses on the following points:

  1. Propose a generalized epidemic model based on fractional modeling
  2. understand the main factor which can slow down the spread
  3. Apply control technique to assist the government in their decision making process.

This work was in collaboration with Mohamed A. Bahloul under the supervision of professor Meriem laleg (KAUST).

[1] L. Peng, W. Yang, D. Zhang, C. Zhuge, and L. Hong, “Epidemicanalysis of covid-19 in china by dynamical modeling,”arXiv preprintarXiv:2002.06563, 2020.

Abderrazak Chahid
Abderrazak Chahid
PhD in Artificial Intelligence

My research interests include feature extraction, real-time implementation of smart decision making systems.