Teaching and supervision¶
Open knowledge¶
- Since 2017 on Stackoverflow (within top 8% overall in 2024, top 3% in 2023)
Teaching¶
- Since 2024, INP ENSIMAG, 4MMPENTR, Open source data science projects in python. See scikit_pr_yeo, scikit_pr_eigsh
- Since 2019, UGA Master 2 MIAGE, Data science and timeseries with python
Doctoral students¶
I had the pleasure to directly supervise, or significantly contribute to the supervision of the following great students:
- 2021-24, Zhiyu Zheng, Data structuring of a digital twin to reconcile real and simulated models - Case study :
Energy model of a building, directed by Fakhreddine Ababsa (Arts et
Métiers), co-supervised with Rani El Meouche (ESTP), Esma Yahia (Arts et Métiers), Elham Farazdaghi (ESTP), Patrick
Béguery (Schneider Electric) and Trinidad Chardin-Segui (Schneider Electric). Under the umbrella of
Digital twin's chair.
Publications: CoDIT, E&B journal - 2019-23, Lucas Albarede, Passage Retrieval in Standardization Documents,
directed by Philippe Mulhem (LIG), co-supervised with Lorraine Goeriot (LIG), Claude Le Pape (Schneider Electric)
and Trinidad Chardin-Segui (Schneider Electric). Under the umbrella of
MIAI Grenoble.
Publications: CORIA, ECIR, ALTARS, IR journal - 2017-20, Tianyun Gao, Integrated Building fault diagnosis with Bayesian Networks
, directed by Stéphane Lecoeuche (IMT Lille Douai), co-supervised with
Simon Thebault (CSTB), Patrick Beguery (Schneider Electric).
Publications: CLIMA, E&B journal - 2015-18, Thibaud Rahier, Bayesian Networks for static and temporal data fusion,
directed by Florence Forbes (INRIA Grenoble), co-supervised with Stéphane Girard (INRIA).
Publications: MLSS, IFSS, JFRB, ECML-PKDD - 2013-16, Cao Tri Do, Multi-modal and Multi-scale temporal metric learning for robust nearest neighbors classification,
co-directed by Ahlame Douzal (LIG) and Michèle Rombaut (GIPSA-lab).
Publications: EUSIPCO, AALTD, AALTD_book, IS journal