Shahbazian, R., & Guerriero, F. (2023) (Stochastic Multi-Depot Electric Vehicle Routing Problem with Time-Windows: A Deep Reinforcement Learning Approach). 

Mirtaheri, S. L., Greco, S., & Shahbazian, R. (2023) A Self-Attention TCN-Based Model for Suicidal Ideation Detection from Social Media Posts.

R. Shahbazian, L. D. P. Pugliese, F. Guerriero and G. Macrina, "Integrating Machine Learning into Vehicle Routing Problem: Methods and Applications," in IEEE Access, doi: 10.1109/ACCESS.2024.3422479.

Babaeifard M, Akbari M, Mohammadkhani S, Hasani J, Shahbazian R, Selby EA. Early maladaptive schemas, distress tolerance and self-injury in Iranian adolescents: serial mediation model of transdiagnostic factors. BJPsych Open. 2024;10(3):e116. doi:10.1192/bjo.2024.708 

Shahbazian, R., & Greco, S. (2023). Generative Adversarial Networks Assist Missing Data Imputation: A Comprehensive Survey & Evaluation. IEEE Access.

Shahbazian, R., Macrina, G., Scalzo, E., & Guerriero, F. (2023). Machine Learning Assists IoT Localization: A Review of Current Challenges and Future Trends. Sensors, 23(7), 3551.

Shahbazian, R., & Trubitsyna, I. (2023). Human Sensing by using Radio Frequency Signals: A Survey on Occupancy and Activity Detection. IEEE Access.

Nabati, M., Ghorashi, S. A., & Shahbazian, R. (2022). JGPR: a computationally efficient multi-target Gaussian process regression algorithm. Machine Learning.

Nabati, M., Ghorashi, S. A., & Shahbazian, R. (2022). Confidence interval estimation for fingerprint-based indoor localization. Ad Hoc Networks, 134, 102877.

Nezhad, N. M., Mirtaheri, S. L., & Shahbazian, R. (2022). Popular image generation based on popularity measures by generative adversarial networks. Multimedia Tools and Applications, 1–25.

Shahbazian, R., & Trubitsyna, I. (2022). DEGAIN: Generative-Adversarial-Network-Based Missing Data Imputation. Information, 13(12), 575.

Navidan, H., Moshiri, P. F., Nabati, M., Shahbazian, R., Ghorashi, S. A., Shah-Mansouri, V., & Windridge, D. (2021). Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. Computer Networks, 194, 108149.

Moshiri, P. F., Shahbazian, R., Nabati, M., & Ghorashi, S. A. (2021). A CSI-based human activity recognition using deep learning. Sensors, 21(21), 7225.

Nabati, M., Navidan, H., Shahbazian, R., Ghorashi, S. A., & Windridge, D. (2020). Using synthetic data to enhance the accuracy of fingerprint-based localization: A deep learning approach. IEEE Sensors Letters, 4(4), 1–4.

Shahbazian, R. (2020). Distributed optimization over large-scale systems for big data analytics. 4OR-Q J Oper Res.

Nabati, M., Ghorashi, S. A., & Shahbazian, R. (2020). Joint coordinate optimization in fingerprint-based indoor positioning. IEEE Communications Letters, 25(4), 1192–1195.

Shahbazian, R., & Guerriero, F. (2020). Optimized distributed large-scale analytics over decentralized data sources with imperfect communication. The Journal of Supercomputing, 76(11), 8510–8528.

Shahbazian, R., & Ghorashi, S. A. (2018). Three dimensional power efficient distributed node localisation in wireless sensor networks. International Journal of Sensor Networks, 28(2), 103–113.

Ghari, Pouya M., Shahbazian, R., & Ghorashi, S. A. (2018). Maximum entropy-based semi-definite programming for wireless sensor network localization. IEEE Internet of Things Journal, 6(2), 3480–3491.

Kazemi Rashed, S., Shahbazian, R., & Ghorashi, S. A. (2018). Learning-based resource allocation in D2D communications with QoS and fairness considerations. Transactions on Emerging Telecommunications Technologies, 29(1), e3249.

Shahbazian, R., & Ghorashi, S. A. (2017b). Localization of Distributed Wireless Sensor Networks using Two Sage SDP Optimization. International Journal of Electrical & Computer Engineering (2088-8708), 7(3).

Hajihoseini Gazestani, A., Shahbazian, R., & Ghorashi, S. A. (2017). Decentralized consensus based target localization in wireless sensor networks. Wireless Personal Communications, 97(3), 3587–3599.

Shahbazian, R., & Ghorashi, S. A. (2017a). Distributed cooperative target detection and localization in decentralized wireless sensor networks. The Journal of Supercomputing, 73, 1715–1732.

Safaei, A., Shahbazian, R., & Ghorashi, S. A. (2016). Cooperative improved target localization in harsh environments using direction of arrival. Indones. J. Electr. Eng. Comput. Sci, 3, 420–427.

Ghari, Pouya Mollaebrahim, Shahbazian, R., & Ghorashi, S. A. (2015). Wireless sensor network localization in harsh environments using SDP relaxation. IEEE Communications Letters, 20(1), 137–140.

Shahbazian, R., & Trubitsyna, I. (2023). DEGAIN as tool for Missing Data Imputation. SEBD 2023: 31st Symposium on Advanced Database System, July 02--05, 2023, Galzignano Terme, Padua, Italy. 

Shahbazian, R., & Guerriero, F. (2023).  Machine Learning Assists to Solve Green Vehicle Routing Problem. First International Conference Math 2 Product (M2P 2023) Emerging Technologies in Computational Science for Industry, Sustainability, and Innovation, May 30th - June 1st, 2023, Taormina, Italy.

Fard Moshiri, P., Nabati, M., Shahbazian, R., & Ghorashi, S. (2022). CSI-Based Human Activity Recognition using Convolutional Neural Networks. 11th International Conference on Computer and Knowledge Engineering (ICCKE 2021), 7–12. IEEE.

Homayounvala, E., Nabati, M., Shahbazian, R., Ghorashi, S. A., & Moghtadaiee, V. (2019). A novel smartphone application for indoor positioning of users based on machine learning. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 430–437.

Shahbazian, R., & Guerriero, F. (2019a). Optimal Weight Design for Decentralized Consensus-Based Large-Scale Data Analytics over Internet of Things. High-Performance Computing and Big Data Analysis: Second International Congress, TopHPC 2019, Tehran, Iran, April 23--25, 2019, Revised Selected Papers 2, 279–288. Springer International Publishing.

Shahbazian, R., & Guerriero, F. (2019b). Where Optimization Meets Big Data: A Survey. Future Trends of HPC in a Disruptive Scenario, 34, 22. IOS Press.

Shahbazian, R., Grandinetti, L., & Guerriero, F. (2019). A new distributed and decentralized stochastic optimization algorithm with applications in big data analytics. Machine Learning, Optimization, and Data Science: 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers 4, 77–91. Springer International Publishing.

Rashed, S. K., Shahbazian, R., & Ghorashi, S. A. (2015). Spectrum decision in cognitive radio networks using multi-armed bandit. 2015 5th International Conference on Computer and Knowledge Engineering (ICCKE), 143–146. IEEE.

Imani, S., Shahbazian, R., & Ghorashi, S. A. (2015). An iterative bit flipping based decoding algorithm for LDPC codes. 2015 Iran Workshop on Communication and Information Theory (IWCIT), 1–3. IEEE.

Fardad, M., Ghorashi, S. A., & Shahbazian, R. (2014). A novel maximum likelihood based estimator for bearing-only target localization. 2014 22nd Iranian Conference on Electrical Engineering (ICEE), 1522–1527. IEEE.

 Mirtaheri, S. L., & Shahbazian, R. (2022). Machine learning: theory to applications. CRC Press.

Shahbazian, R., Guerriero, F., & Ghorashi, S. A. (2019). Cooperative Ranging-Based Detection and Localization: Centralized and Distributed Optimization Methods. Cooperative Localization and Navigation: Theory, Research, and Practice, 301.

Grandinetti, L., Mirtaheri, S. L., & Shahbazian, R. (Eds.). (2019). High-Performance Computing and Big Data Analysis: Second International Congress, TopHPC 2019, Tehran, Iran, April 23–25, 2019, Revised Selected Papers (Vol. 891). Springer Nature.

Grandinetti, L., Mirtaheri, S. L., & Shahbazian, R. (Eds.). (2018). Big data and HPC: ecosystem and convergence (Vol. 33). IOS Press.