Vahid Partovi Nia Associated member, GERAD share Principal Machine Learning Scientist, Huawei Noah’s Ark Lab, Montréal vahid.partovi.nia@gerad.ca Phone: 514 340-5121 x3389 Office 5506 Other titles and affiliations since Oct 2017 Adjunct Professor, Department of Mathematical and Industrial Engineering, Polytechnique Montréal Jan 2016 – Sep 2017 Researcher, Department of Mathematical and Industrial Engineering, Polytechnique Montréal Jun 2011 – Dec 2015 Assistant Professor, Department of Mathematics and Industrial Engineering, Polytechnique Montréal Research Axes Axis 1: Data valuation for decision making Axis 3: Decision support made under uncertainty Research Applications Smart infrastructure (telecommunications, public transport, smart cities) Engineering (engineering design, digital design) Publications Sep 2021 Qini-based uplift regression Mouloud Belbahri, Alejandro Murua, Olivier Gandouet, and Vahid Partovi Nia Annals of Applied Statistics, 15(3), 1247–1272, 2021 BibTeX reference Jul 2021 A convergence diagnostic for Bayesian clustering Martin Lysy, Masoud Asgharian, and Vahid Partovi Nia WIREs Computational Statistics, 13(4), page e1536, 2021 BibTeX reference Apr 2020 G-2020-23 Proceedings of the Edge Intelligence Workshop, Montréal, Canada, March 2--3, 2020 Charles Audet, Sébastien Le Digabel, Andrea Lodi, Dominique Orban, and Vahid Partovi Nia Artificial Intelligence (AI) is the next society transformation builder. Massive AI-based applications include cloud servers, cell phones, cars, and pandemic... BibTeX reference 42 publications News Vahid Partovi Nia wins the Best Industrial Paper Award Feb 9, 2022 Vahid Partovi Nia won the Best Industrial Paper Award at the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM) which took place on February 3-5, 2022. This award is given by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC). The paper, entitled "iRNN: Integer-only Recurrent Neural Network"](https://arxiv.org/abs/2109.09828)", was co-authored with Eyyüb Sari and Vanessa Courville. Doctoral thesis defence of Mouloud Belbahri Jun 18, 2021 Title: Apprentissage basé sur le Qini pour la prédiction de l'effet causal conditionnel Events Jun 18, 202101:00 PM — 02:00 PM High-dimensional black-box optimisation in small data regimes Efficient Machine Learning Seminar Haitham Bou Ammar – Huawei Research London Online meeting Jun 11, 202101:00 PM — 02:00 PM From Batch Normalization (BN) to Stochastic Whitening Batch Normalization (SWBN) Efficient Machine Learning Seminar Ehsan Nezhadarya – LG Electronics Online meeting Jun 4, 202101:00 PM — 02:00 PM Improved knowledge distillation Efficient Machine Learning Seminar Mehdi Rezagholizadeh – Huawei Noah’s Ark Online meeting 12 activities Prizes and awards 2022 ICPRAM 2022 Best Industrial Paper Award iRNN: Integer-only Recurrent Neural Network (E. Sari, V. Courville and V. Partovi Nia) Institute for Systems and Technologies of Information, Control and Communication (INSTICC) Supervision Seyedeh Niloohar Ayati Master's degree Mahan Balalpour Master's degree David Berger Internship Elham Karimi Master's degree Farnoush Farhadi Master's degree Mouloud Belbahri Ph.D. Elham Karimi Internship Babak Khorramabadi Zad Internship Alexandre Arsenault Internship All supervisions (16)