Vahid Partovi Nia
Associated member, GERAD
Principal Machine Learning Scientist, Noah’s Arc Research Lab, Huawei Technologies, Canada
Other titles and affiliations
since Oct 2017
Adjunct Professor, Department of Mathematical and Industrial Engineering, Polytechnique Montréal, Canada
Jan 2016 – Sep 2017
Researcher, Department of Mathematical and Industrial Engineering, Polytechnique Montréal, Canada
Jun 2011 – Dec 2015
Assistant Professor, Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Canada
Cahiers du GERAD
May 2017
Vahid Partovi Nia, Martin Lysy, and Geoffroy Mouret
G-2017-33
May 2017
Shaima Tilouche, Vahid Partovi Nia, and Samuel Jean Bassetto
G-2017-38
Publications
Mar 2018
Mina Mirshahi, Vahid Partovi Nia, and Luc-Désiré Adjengue
Journal of Applied Statistics, 45(15), 2788–2799, 2018
BibTeX reference
Feb 2017
Mina Mirshahi, Vahid Partovi Nia, and Luc-Désiré Adjengue
Pattern Recognition Applications and Methods. ICPRAM 2016, Lecture Notes in Computer Science, vol. 10163, Springer, Cham, 104–120, 2017
BibTeX reference
Jan 2017
Mohammad Sajjad Ghaemi, Bruno Agard, Martin Trépanier, and Vahid Partovi Nia
Transportmetrica A: Transport Science, 13(5), 381–404, 2017
BibTeX reference
News
Dec 11, 2017
Title: Forestogram: Biclustering visualization framework with applications in public transport and bioinformatics
Dec 11, 2017
Title: Learning activation functions in deep neural networks
Dec 4, 2017
Title: Nouvelle approche de maîtrise de processus intégrant les cartes de contrôle multidimensionnelles et les graphes en coordonnées parallèles
Events
all dayfrom Jul 4 to Jul 6 2018
conference
Room SH-2800, Sherbrooke Building, UQÀM
09:00 AM–05:00 PMSep 29, 2017 09:00 AM
workshop
Room 4488, André-Aisenstadt Building, Université de Montréal Campus
10:45 AM–12:00 PMSep 21, 2017 10:45 AM
GERAD seminar
Zhitang Chen – Noah’s Arc Lab, Huawei Technologies, Hong Kong
Zhitang Chen – Noah’s Arc Lab, Huawei Technologies, Hong Kong
Canada Excellence Research Chair in Data Science for Real-Time Decision-Making
Room 4488, André-Aisenstadt Building, Université de Montréal Campus