Shateri, Mohammadhadi - ÉTS Montréal

Présentation

Unité de recherche

Visiter le site web de : LIVIA – Laboratoire d'imagerie, de vision et d'intelligence artificielle

Axe de recherche

Systèmes intelligents et autonomes

Expertises

Apprentissage machine
Sécurité dans les systèmes d'apprentissage machine
Apprentissage profond
Apprentissage par renforcement
Sécurité des données des compteurs communicant
Contrôle de santé intégré

Cours et encadrements

Cours

3 crédits Hiver 2026

Encadrements

En codirection avec : Pablo Piantanida
Security of Machine Learning Algorithms in Sensitive Information leakage: Machine Unlearning and Inference Attacks, par Zahra Dehghani Tafti
Hiver 2027
En codirection avec : Éric Granger
Knowledge Distillation and Multi-Modal Learning for Cancer Detection, par Banafsheh Karimian
Hiver 2027
En codirection avec : Éric Granger
Few-Shot Generative Adaptation of Diffusion Models, par Yara Mohammadi Bahram
Hiver 2027
En codirection avec : Armin Jabbarzadeh
Resilient and Adaptive Supply Chain Planning under Disruption Risks, par Mehrab Tanhaeean
Hiver 2027
En codirection avec : Éric Granger
Time-Serie Domain Adaptation, par Negar Mehregan
Automne 2026
En codirection avec : Éric Granger
Controlled Diffusion for Optimized Audio Generative Applications, par Mélodie Desbos
Hiver 2027

En codirection avec : Éric Granger
Modèles de diffusion pour la génération d’images personnalisées et la variation guidée par référence d’effets sonores, par Mélodie Desbos
Hiver 2026
Prédiction de la consommation d’énergie domestique par réseaux de neurone, par Doriane L'or Nguewo Nkemegni
Hiver 2027

Techniques de quantification pour des réseaux de neurones efficaces, par Horphe Tchouanmo Fotso
Été 2026

Publications

Yara Bahram, MohammadHadi Shateri, Eric Granger. 2026 « DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models ». Affiche présentée lors de la conférence : AAAI 2026 Main Conference (Singapore, Jan. 20-27, 2026)

Morteza Behbahanipour, Seyed Fariborz Zarei, Mohammadhadi Shateri. 2026 « An AI-based technique for fault location in inverter-based active distribution networks ». IET Generation, Transmission & Distribution vol. 20 , nº 1
Zahra Dehghani, Pablo Piantanida, MohammadHadi Shateri. 2026 « A universal source-free class unlearning framework via synthetic embeddings ». Transactions on Machine Learning Research vol. 2026
Negar Mehregan, Berk Bozkurt, Eric Granger, Mohammadjavad Hajikhani, MohammadHadi Shateri. 2026 « MTLoc: A confidence-based source-free domain adaptation approach for indoor localization ». IEEE Sensors Journal vol. 26 , nº 2. p. 2524-2534
Amirhosein Alizadeh, Seyed Fariborz Zarei, Mohammadhadi Shateri. 2025 « Islanding detection for active distribution networks using WaveNet+UNet classifier ». Protection and Control of Modern Power Systems vol. 10 , nº 5. p. 152-164
Morteza Behbahanipour, Seyed Fariborz Zarei, Mohammadhadi Shateri. 2024 « Impedance-based approach for locating short-circuit faults in inverter-based active distribution networks ». International Journal of Industrial Electronics Control and Optimization vol. 7 , nº 3. p. 225-233
Maha Ghaib, MohammadHadi Shateri, Douglas Thomson, Dagmar Svecova. 2024 « Comparison between microstructural analysis of GFRP and CFRP rebars using micro computed tomography (μCT), scanning electron microscope (SEM), and acoustic emission (AE) techniques ». Composites Science and Technology vol. 250
MohammadHadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida. 2024 « Preserving privacy in GANs against membership inference attack ». IEEE Transactions on Information Forensics and Security vol. 19. p. 1728-1743
Behnam Amiri-Ramsheh, Menad Nait Amar, MohammadHadi Shateri, Abdolhossein Hemmati-Sarapardeh. 2023 « On the evaluation of the carbon dioxide solubility in polymers using gene expression programming ». Scientific Reports vol. 13 , nº 1
Saleh Asnaashari, MohammadHadi Shateri, Abdolhossein Hemmati-Sarapardeh, Shahab S. Band. 2023 « Modeling of the sintered density in Cu-Al alloy using machine learning approaches ». ACS Omega vol. 8 , nº 31. p. 28036-28051
Hamid Bahmaninia, MohammadHadi Shateri, Saeid Atashrouz, Karam Jabbour, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour. 2023 « Predicting the equilibrium solubility of CO2 in alcohols, ketones, and glycol ethers: Application of ensemble learning and deep learning approaches ». Fluid Phase Equilibria vol. 567
Mohsen Riazi, Hossein Mehrjoo, Reza Nakhaei, Hossein Jalalifar, MohammadHadi Shateri, Masoud Riazi, Mehdi Ostadhassan, Abdolhossein Hemmati-Sarapardeh. 2022 « Modelling rate of penetration in drilling operations using RBF, MLP, LSSVM, and DT models ». Scientific Reports vol. 12 , nº 1
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2022 « Privacy-cost management in smart meters with mutual-information-based reinforcement learning ». IEEE Internet of Things Journal vol. 9 , nº 22. p. 22389-22398
Abbas Hashemizadeh, Ahmad Maaref, Mohammadhadi Shateri, Aydin Larestani, Abdolhossein Hemmati-Sarapardeh. 2021 « Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field ». Journal of Petroleum Science and Engineering vol. 207
Mohammadhadi Shateri, Maha Ghaib, Dagmar Svecova, Douglas Thomson. 2021 « Acoustic emission signal entropy as a means to estimate loads in fiber reinforced polymer rods ». Sensors vol. 21 , nº 4
Atefeh Dargahi-Zarandi, Abdolhossein Hemmati-Sarapardeh, Mohammadhadi Shateri, Nait Amar Menad, Mohammad Ahmadi. 2020 « Modeling minimum miscibility pressure of pure/impure CO2-crude oil systems using adaptive boosting support vector regression: Application to gas injection processes ». Journal of Petroleum Science and Engineering vol. 184
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2020 « Real-time privacy-preserving data release for smart meters ». IEEE Transactions on Smart Grid vol. 11 , nº 6. p. 5174-5183
Mohammadhadi Shateri, Zeinab Sobhanigavgani, Azin Alinasab, Amir Varamesh, Abdolhossein Hemmati-Sarapardeh, Amir Mosavi, Shahab Shamshirband. 2020 « Comparative analysis of machine learning models for nanofluids viscosity assessment ». Nanomaterials vol. 10 , nº 9
Menad Nait Amar, Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, Alireza Alamatsaz. 2019 « Modeling oil-brine interfacial tension at high pressure and high salinity conditions ». Journal of Petroleum Science and Engineering vol. 183
Maha Ghaib, Mohammadhadi Shateri, Douglas Thomson, Dagmar Svecova. 2018 « Study of FRP bars under tension using acoustic emission detection technique ». Journal of Civil Structural Health Monitoring vol. 8 , nº 2. p. 285-300
Mohammadhadi Shateri, Maha Ghaib, Dagmar Svecova, Douglas Thomson. 2017 « On acoustic emission for damage detection and failure prediction in fiber reinforced polymer rods using pattern recognition analysis ». Smart Materials and Structures vol. 26 , nº 6
Mohammadhadi Shateri, Shohreh Ghorbani, Abdolhossein Hemmati-Sarapardeh, Amir H. Mohammadi. 2015 « Application of Wilcoxon generalized radial basis function network for prediction of natural gas compressibility factor ». Journal of the Taiwan Institute of Chemical Engineers vol. 50. p. 131-141

Yara Bahram, MohammadHadi Shateri, Eric Granger. 2026 « DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models ». Fortieth AAAI Conference on Artificial Intelligence (Singapore, Jan. 20-27, 2026) Association for the Advancement of Artificial Intelligence
Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger. 2026 « PixelCAM: Pixel class activation mapping for histology image classification and ROI localization ». Proceedings of the 8th International Conference on Medical Imaging with Deep Learning, PMLR ML Research Press
Banafsheh Karimian, Giulia Avanzato, Soufiane Belharbi, Alexis Guichemerre, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger. 2026 « CLIP-IT: CLIP-based pairing of histology images with privileged textual information ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Mar. 06-10, 2026) Institute of Electrical and Electronics Engineers Inc.
Mohammadhadi Shateri, Borna Sayedana. 2026 « Partial privacy for sensitive subsets in deep learning models ». IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) (Montreal, QC, Canada, May 18-20, 2026) Institute of Electrical and Electronics Engineers Inc.
Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, MohammadHadi Shateri, Pablo Piantanida. 2025 « Learning task-agnostic representations through multi-teacher distillation ». 39th Conference on Neural Information Processing Systems (NeurIPS) (San Diego, CA, USA, Dec. 02-07, 2025) Neural Information Processing Systems Foundation Inc. (NeurIPS)
MirHamed Asl, MohammadHadi Shateri, Fabrice Labeau. 2023 « α-mutual information: a tunable privacy measure for privacy protection in data sharing ». International Conference on Machine Learning and Applications (ICMLA) (Jacksonville, FL, USA, Dec. 15-17, 2023) IEEE
Julien Bertieaux, MohammadHadi Shateri, Fabrice Labeau, Thierry Dutoit. 2023 « Cardiotocography signal abnormality detection based on deep semi-unsupervised learning ». 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (Taormina, Italy, Dec. 04-07, 2023) Association for Computing Machinery, Inc
MohammadHadi Shateri. 2023 « Privacy-cost management in smart meters: Classical vs deep Q-learning with mutual information ». 11th International Conference on Smart Energy Grid Engineering (SEGE) (Oshawa, ON, Canada, Aug. 13-15, 2023) IEEE
Mohammadhadi Shateri, Fabrice Labeau. 2022 « Privacy-preserving adversarial network (PPAN) for continuous non-Gaussian attributes ». IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (Vancouver, WA, USA, Mar. 06-09, 2022)
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2021 « Learning sparse privacy-preserving representations for smart meters data ». IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Aachen, Germany, Oct. 25-28, 2021) Institute of Electrical and Electronics Engineers Inc.
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2020 « On the impact of side information on smart meter privacy-preserving methods ». IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Tempe, AZ, USA, Nov. 11-13, 2020) Institute of Electrical and Electronics Engineers Inc.
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2020 « Privacy-cost management in smart meters using deep reinforcement learning ». IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (The Hague, Netherlands, Oct. 26-28, 2020) IEEE Computer Society
Mohammadhadi Shateri, Francisco Messina, Piantanida Piantanida, Fabrice Labeau. 2019 « Deep directed information-based learning for privacy-preserving smart meter data release ». IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Beijing, China, Oct. 21-23, 2019) Institute of Electrical and Electronics Engineers Inc.
Mohammadhadi Shateri, Douglas Thomson, Maha Ghaib, Dagmar Svecova. 2017 « System for logging acoustic emission signals from FRP reinforcing rods that is suitable for field and long term laboratory testing ». 11th International Workshop on Structural Health Monitoring (IWSHM) (Stanford, CA, USA, Sept. 12-14, 2017) DEStech Publications
M. Shateri, M. Ghaib, D. Svecova, D. J. Thomson. 2016 « Robust failure prediction in fiber reinforced polymer rods using frequency entropy of clustered acoustic emission events ». ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials (Munich, Germany, June 26-30, 2016) European Conference on Composite Materials, ECCM