Localization in Wireless Sensor Networks Using Quadratic Optimization. - Pouya Mollaebrahim Ghari; Reza Shahbazian; Seyed Ali Ghorashi (CoRR, 2014)

An iterative bit flipping based decoding algorithm for LDPC codes. - Sadjad Imani; Reza Shahbazian; Seyed Ali Ghorashi (IWCIT, 2015)

Wireless Sensor Network Localization in Harsh Environments Using SDP Relaxation. - Pouya Mollaebrahim Ghari; Reza Shahbazian; Seyed Ali Ghorashi (IEEE Commun. Lett., 2016)

Distributed cooperative target detection and localization in decentralized wireless sensor networks. - Reza Shahbazian; Seyed Ali Ghorashi (J. Supercomput., 2017)

Decentralized Consensus Based Target Localization in Wireless Sensor Networks. - Amirhosein Hajihoseini Gazestani; Reza Shahbazian; Seyed Ali Ghorashi (Wirel. Pers. Commun., 2017)

A New Distributed and Decentralized Stochastic Optimization Algorithm with Applications in Big Data Analytics. - Reza Shahbazian; Lucio Grandinetti; Francesca Guerriero (LOD, 2018)

Learning-based resource allocation in D2D communications with QoS and fairness considerations. - Salma Kazemi Rashed; Reza Shahbazian; Seyed Ali Ghorashi (Trans. Emerg. Telecommun. Technol., 2018)

Three dimensional power efficient distributed node localisation in wireless sensor networks. - Reza Shahbazian; Seyed Ali Ghorashi (Int. J. Sens. Networks, 2018)

A novel smartphone application for indoor positioning of users based on machine learning. - Elaheh Homayounvala; Mohammad Nabati; Reza Shahbazian; Seyed Ali Ghorashi; Vahideh Moghtadaiee (UbiComp/ISWC Adjunct, 2019)

Maximum Entropy-Based Semi-Definite Programming for Wireless Sensor Network Localization. - Pouya Mollaebrahim Ghari; Reza Shahbazian; Seyed Ali Ghorashi (IEEE Internet Things J., 2019)

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)

Optimized distributed large-scale analytics over decentralized data sources with imperfect communication. - Reza Shahbazian; Francesca Guerriero (J. Supercomput., 2020)

Distributed optimization over large-scale systems for big data analytics. - Reza Shahbazian (4OR, 2021)

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)

Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning. - Mohammad Nabati; Seyed Ali Ghorashi; Reza Shahbazian (IEEE Commun. Lett., 2021)

A CSI-Based Human Activity Recognition Using Deep Learning. - Parisa Fard Moshiri; Reza Shahbazian; Mohammad Nabati; Seyed Ali Ghorashi (Sensors, 2021)

Confidence interval estimation for fingerprint-based indoor localization. - Mohammad Nabati; Seyed Ali Ghorashi; Reza Shahbazian (Ad Hoc Networks, 2022)

DEGAIN: Generative-Adversarial-Network-Based Missing Data Imputation. - Reza Shahbazian; Irina Trubitsyna (Inf., 2022)

JGPR: a computationally efficient multi-target Gaussian process regression algorithm. - Mohammad Nabati; Seyed Ali Ghorashi; Reza Shahbazian (Mach. Learn., 2022)

DEGAIN as tool for Missing Data Imputation. - Reza Shahbazian; Irina Trubitsyna (SEBD, 2023)

Generative Adversarial Networks Assist Missing Data Imputation: A Comprehensive Survey and Evaluation. - Reza Shahbazian; Sergio Greco (IEEE Access, 2023)

Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection. - Reza Shahbazian; Irina Trubitsyna (IEEE Access, 2023)

Popular image generation based on popularity measures by generative adversarial networks. - Narges Mohammadi Nezhad; Seyedeh Leili Mirtaheri; Reza Shahbazian (Multim. Tools Appl., 2023)

Machine Learning Assists IoT Localization: A Review of Current Challenges and Future Trends. - Reza Shahbazian; Giusy Macrina; Edoardo Scalzo; Francesca Guerriero (Sensors, 2023)

Fairness-Driven Explainable Learning in Multi-Agent Reinforcement Learning. - Tariq Mahmood 006; Reza Shahbazian; Irina Trubitsyna (AAPEI@ECAI, 2024)

Integrating Machine Learning Into Vehicle Routing Problem: Methods and Applications. - Reza Shahbazian; Luigi Di Puglia Pugliese; Francesca Guerriero; Giusy Macrina (IEEE Access, 2024)

A self-attention TCN-based model for suicidal ideation detection from social media posts. - Seyedeh Leili Mirtaheri; Sergio Greco; Reza Shahbazian (Expert Syst. Appl., 2024)

Even-if Explanations: Formal Foundations, Priorities and Complexity. - Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Reza Shahbazian; Irina Trubitsyna (AAAI, 2025)

ResViT: A Hybrid Model for Robust Deepfake Video Detection. - Anahita Aria; Seyedeh Leili Mirtaheri; Seyyed Amir Asghari; Reza Shahbazian; Andrea Pugliese 001 (CSR, 2025)

Explainable Decentralized Federated Learning for Energy-Efficient Base Station Sleep Control. - Narges Movahedkor; Reza Shahbazian; Seyed Ali Ghorashi (ICT, 2025)

Knowledge-guided hybrid deep reinforcement learning for the dynamic multi-depot electric vehicle routing problem. - Reza Shahbazian; Alessia Ciacco; Giusy Macrina; Francesca Guerriero (Comput. Oper. Res., 2025)

A comparative analysis on using GPT and BERT for automated vulnerability scoring. - Seyedeh Leili Mirtaheri; Andrea Pugliese 001; Narges Movahed; Reza Shahbazian (Intell. Syst. Appl., 2025)

Decentralized federated learning meets Physics-Informed Neural Networks. - Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Reza Shahbazian; Irina Trubitsyna (Knowl. Based Syst., 2025)