November 07, 2023
Mohammadhadi Shateri
Professeur
Department
Département de génie des systèmes
Degrees
B.Sc. Electrical Engineering (Tehran Polytechnic), M.Sc. Electrical and Computer Engineering (University of Manitoba), Ph.D. Electrical and Computer Engineering (McGill)
Research axe
- Intelligent and Autonomous Systems
Areas of expertise
- Apprentissage machine
- Sécurité dans les systèmes d'apprentissage machine
- Apprentissage profond
- Apprentissage par renforcement
- Sécurité des données des compteurs communicant
- Contrôle de santé intégré
Supervision
- En codirection avec : Granger, Éric
Enhancing Indoor Localization Accuracy in Asset Tracking through Deep Learning, par Mehregan,Negar
Automne 2024
- En codirection avec : Piantanida, Pablo
Security of Machine Learning Algorithms in Sensitive Information leakage: Machine Unlearning and Inference Attacks, par Dehghani Tafti,Zahra
Automne 2024
Publications
- 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
- 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
