Mohammadhadi Shateri

Privacy-Cost Management in Smart Meters: An Information-Theoretic Deep Reinforcement Learning Approach

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2020 .

Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2019, 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

Real-Time Privacy-Preserving Data Release for Smart Meters

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2020, IEEE Transactions on Smart Grid.

On the Impact of Side Information on Smart Meter Privacy-Preserving Methods

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2020, 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

System for Logging Acoustic Emission Signals from FRP Reinforcing Rods that is Suitable for Field and Long Term Laboratory Testing

Mohammadhadi Shateri, Douglas J. Thomson, Dagmar Svecova, 2017 .

Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2020, 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).

Privacy-Preserving Adversarial Network (PPAN) for Continuous non-Gaussian Attributes

Fabrice Labeau, Mohammadhadi Shateri, 2020 .

Learning Sparse Privacy-Preserving Representations for Smart Meters Data

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2021, 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

Acoustic Emission Signal Entropy as a Means to Estimate Loads in Fiber Reinforced Polymer Rods

Mohammadhadi Shateri, Douglas J. Thomson, Dagmar Svecova, 2021, Sensors.

Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning

Pablo Piantanida, Fabrice Labeau, Mohammadhadi Shateri, 2020, IEEE Internet of Things Journal.

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

Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, Ahmad Maaref, 2021 .