Personal information
Verified email domains
univ-lille.fr
Artificial Vision, Neural Networks, Semi-Supervised Learning, Physics-Informed Neural Networks, Artificial Intelligence
France
Biography
Having recently obtained my PhD in Computer Science and Applications at the University of Lille, my field of expertise covers Deep Learning, Data Science, Artificial Vision, and Physics-Informed Neural Networks.
My thesis subject was : "Physics-inspired Deep Learning methods for the inference of air quality".
I am particularly interested in research subjects related to Artificial Intelligence and applied to Health or Environment-related issues.
Activities
Employment (2)
2024-10-01
to
2025-04-30
|
ATER
(CRIStAL laboratory)
Employment
Source:
Matthieu Dabrowski
2021-10
to
2024-09-30
|
PhD Student
(CRIStAL Laboratory)
Employment
Source:
Matthieu Dabrowski
Education and qualifications (2)
2021-10
to
2024-12-09
(CRIStAL laboratory)
Education
Source:
Matthieu Dabrowski
2018-09
to
2021-08
(2IA)
Education
Source:
Matthieu Dabrowski
Works (3)
SSRN
2024
|
Other
EID:
2-s2.0-85205054600
Contributors:
Dabrowski, M.;
Mennesson, J.;
Riedi, J.;
Djeraba, C.
Source:
Matthieu Dabrowski
via
Scopus - Elsevier
2024-10-29
|
Preprint
Contributors:
Matthieu Dabrowski;
José Mennesson;
Jérôme Riedi;
Chaabane Djeraba;
Pierre Nabat
Source:
check_circle
Crossref
grade
Preferred source
(of
2)
2023-06-18
|
Conference paper
Contributors:
Matthieu Dabrowski;
José Mennesson;
Jérôme Riedi;
Chaabane Chabane Djeraba
Source:
Matthieu Dabrowski
via
HAL
grade
Preferred source
(of
3)