07 novembre 2023
Mohammadhadi Shateri
Professeur
Département
Département de génie des systèmes
Courriel
Vue d'ensemble
Shateri, Mohammadhadi
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
Encadrements
- En codirection avec : Granger, Éric
Enhancing Indoor Localization Accuracy in Asset Tracking through Deep Learning, par Mehregan,Negar
Été 2024
Publications
- 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
- MohammadHadi Shateri. 2023 « Privacy-cost management in smart meters: Classical vs deep Q-learning with mutual information ».
- Mohammadhadi Shateri, Fabrice Labeau. 2022 « Privacy-preserving adversarial network (PPAN) for continuous non-Gaussian attributes ».
- Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2021 « Learning sparse privacy-preserving representations for smart meters data ».
- Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2020 « On the impact of side information on smart meter privacy-preserving methods ».
- Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau. 2020 « Privacy-cost management in smart meters using deep reinforcement learning ».
- Mohammadhadi Shateri, Francisco Messina, Piantanida Piantanida, Fabrice Labeau. 2019 « Deep directed information-based learning for privacy-preserving smart meter data release ».
- 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 ».
- 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 ».