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

The Impact of Data Breach Announcements on Company Value in European Markets

Ford, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J. 2021. The Impact of Data Breach Announcements on Company Value in European Markets. WEIS 2021: The 20th Annual Workshop on the Economics of Information Security. 28 - 29 Jun 2021

A Machine Learning Framework for House Price Estimation

Ghorashi, S., Awonaike, A. and Hammad, R. 2021. A Machine Learning Framework for House Price Estimation. 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021). Online 13 - 15 Dec 2021

Data quality challenges in large-scale cyber-physical systems: A systematic review

Alwan, A., Ciupala, A., Brimicombe, A., Ghorashi, S., Baravalle, A. and Falcarin, P. 2021. Data quality challenges in large-scale cyber-physical systems: A systematic review. Information Systems. 105 (Art. 101951). https://doi.org/10.1016/j.is.2021.101951

A CSI-Based Human Activity Recognition Using Deep Learning

Fard Moshiri, P., Shahbazian, R., Nabati, M. and Ghorashi, S. A. 2021. A CSI-Based Human Activity Recognition Using Deep Learning. Sensors. https://doi.org/10.3390/s21217225

The Impact of GDPR Infringement Fines on the Market Value of Firms

Ford, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J. 2021. The Impact of GDPR Infringement Fines on the Market Value of Firms. ECCWS 2021- Proceeding of the 20th European Conference on Cyber Warfare and Security. 24 - 25 Jun 2021 Academic Conferences International Limited. https://doi.org/10.34190/EWS.21.088

Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

Navidan, H., Fard Moshiri, P., Nabati, M., Shahbazian, R., Ghorashi, S., Shah-Mansouri, V. and Windridge, D. 2021. Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation. Computer Networks. 194 (Art. 108149). https://doi.org/10.1016/j.comnet.2021.108149

Reconfigurable Linear Antenna Arrays for Beam-Pattern Matching in Collocated MIMO Radars

Kavousi Ghafi, E., Ghorashi, S. and Mehrshahi, E. 2021. Reconfigurable Linear Antenna Arrays for Beam-Pattern Matching in Collocated MIMO Radars. IEEE Transactions on Aerospace and Electronic Systems. 57 (5), pp. 2715-2724. https://doi.org/10.1109/TAES.2021.3062173

Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning

Nabati, M., Ghorashi, S. and Shahbazian, R. 2021. Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning. IEEE Communications Letters. 25 (4), pp. 1192-1195. https://doi.org/10.1109/LCOMM.2020.3047352

A fingerprint technique for indoor localization using autoencoder based semi-supervised deep extreme learning machine

Ezzati Khatab, Z., Hajihoseini Gazestani, A., Ghorashi, S. and Ghavami, M. 2020. A fingerprint technique for indoor localization using autoencoder based semi-supervised deep extreme learning machine. Signal Processing. 181 (Art. 107915). https://doi.org/10.1016/j.sigpro.2020.107915

Joint Optimization of Power and Location in Full-Duplex UAV Enabled Systems

Gazestani A. H., Ghorashi, S. A., Yang, Z. and Shikh-Bahaei, M. 2020. Joint Optimization of Power and Location in Full-Duplex UAV Enabled Systems. IEEE Systems Journal. https://doi.org/10.1109/JSYST.2020.3036275

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

Fingerprinting Based Indoor Localization Considering the Dynamic Nature of Wi-Fi Signals

Alikhani, N., Moghtadaiee, V. and Ghorashi, S. 2020. Fingerprinting Based Indoor Localization Considering the Dynamic Nature of Wi-Fi Signals. Wireless Personal Communications. 115 (2), pp. 1445-1464. https://doi.org/10.1007/s11277-020-07636-0

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. 14, p. 121–134. 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. 69 (8), pp. 8443-8458. 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

New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization

Moghatdaiee, V., Ghorashi, S. and Ghavami, G. 2019. New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization. IEEE Access. 7, pp. 104462-104477. https://doi.org/10.1109/ACCESS.2019.2932024
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