Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition. - Parisa Fard Moshiri; Hojjat Navidan; Reza Shahbazian; Seyed Ali Ghorashi; David Windridge (CoRR, 2020)

Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. - Hojjat Navidan; Parisa Fard Moshiri; Mohammad Nabati; Reza Shahbazian; Seyed Ali Ghorashi; Vahid Shah-Mansouri; David Windridge (Comput. Networks, 2021)

Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach. - Mohammad Nabati; Hojjat Navidan; Reza Shahbazian; Seyed Ali Ghorashi; David Windridge (CoRR, 2021)

Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. - Hojjat Navidan; Vahideh Moghtadaiee; Niki Nazaran; Mina Alishahi (EuroS&P Workshops, 2022)

Add noise to remove noise: Local differential privacy for feature selection. - Mina Alishahi; Vahideh Moghtadaiee; Hojjat Navidan (Comput. Secur., 2022)

Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition. - Hojjat Navidan; Merkebu Girmay; Mohamed Seif; H. Vincent Poor; Ingrid Moerman; Adnan Shahid (VNC, 2024)

Radio Resource Management for Intelligent Neutral Host (INH) in Multi-Operator Environments. - Hojjat Navidan; Mostafa Naseri; Ingrid Moerman; Adnan Shahid (IEEE Open J. Commun. Soc., 2024)