Dr Seyed Ghorashi


NameDr Seyed Ghorashi
ORCIDhttps://orcid.org/0000-0002-2910-9208
Job titleLecturer
Email addresssghorashi@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Resource Allocation in Full-Duplex UAV Enabled Multi Small Cell Networks

Hajihoseini Gazestani, A., Ghorashi, S. A., Yang, Z. and Shikh-Bahaei, M 2020. Resource Allocation in Full-Duplex UAV Enabled Multi Small Cell Networks. IEEE Transactions on Mobile Computing. https://doi.org/10.1109/TMC.2020.3017137

Privacy preserving in indoor fingerprint localization and radio map expansion

Ghorashi, S. A., Sazdar, A. M., Alikhani, N. and Khonsari, A. 2020. Privacy preserving in indoor fingerprint localization and radio map expansion. Peer-to-Peer Networking and Applications. https://doi.org/10.1007/s12083-020-00950-1

Power Allocation for D2D Communications Using Max-Min Message-Passing Algorithm

Kazemi Rashed, S, Asvadi, R., Rajabi, S., Ghorashi, S. A. and Martini, M. G. 2020. Power Allocation for D2D Communications Using Max-Min Message-Passing Algorithm. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2020.2995534

A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems

Sazdar, A. M., Ghorashi, S. A., Moghtadaiee, V., Khonsari, A. and Windridge, D. 2020. A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems. Journal of Information Security and Applications. 53 (Art. 102515). https://doi.org/10.1016/j.jisa.2020.102515

Throughput Improvement by Mode Selection in Hybrid Duplex Wireless Networks

Mousavinasab, B., Gazestani, A. H., Ghorashi, S. A. and Shikh-Bahaei, M. 2020. Throughput Improvement by Mode Selection in Hybrid Duplex Wireless Networks. Wireless Networks. 26, p. 3687–3699. https://doi.org/10.1007/s11276-020-02286-3

Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach

Nabati, M., Navidan, H., Shahbazian, R., Ghorashi, S. A. and Windridge, D. 2020. Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach. IEEE Sensors Letters. 4 (Art. 6000204). https://doi.org/10.1109/LSENS.2020.2971555
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