Seyed Ali Ghorashi profile picture

Dr Seyed Ali Ghorashi

Director of Impact and Innovation

Co-leader of Smart City Research Group; Machine Learning, Telecommunications, Internet of Things (IoT)

Department of Engineering & Computing , School Of Architecture, Computing And Engineering

Dr Seyed Ali Ghorashi has more than 20 years of experience in industry and academia on optimisation, resource allocation and applications of Artificial Intelligence and Machine Learning algorithms in Internet of Behavior (IoB), Positioning, Cellular and Ad-hoc Networks. He is a Fellow of Higher Education (FHEA) and a senior member of IEEE, has published more than 120 journal and conference papers and has experience in National and European projects. 

Qualifications

  • BSc, MSc, PhD, FHEA, MBCS

Areas Of Interest

Seyed Ali Ghorashi’s research interests include optimization, signal processing and applications of Artificial Intelligence and Machine Learning in healthcare, resource allocation, 5G and beyond Telecommunication networks, positioning & tracking, Internet of Behaviour (IoB), smart cities, security & privacy, Robotics, and self-drive vehicles.

  • Machine Learning
  • IoT (Internet of Things)
Seyed Ali Ghorashi profile picture

OVERVIEW

Dr Seyed Ali Ghorashi received his BSc and MSc in Electrical & Computer Engineering, both from the University of Tehran and then received his Ph.D. at King’s College London in Telecommunications & Networks and worked there as a Post Doc for one year. He has worked at Samsung Electronics (UK) Ltd. as a senior researcher, at Shahid Beheshti University first as an assistant professor and then as an associate professor, at Kingston University and Middlesex University.

He has more than 20 years of experience in industry and academia and has been involved in many national as well as international projects such as the Core 2 & 4 research programme of the UK Virtual Centre of Excellence (Mobile VCE); Dreams4Cars (European projects for self-driving cars); active participation in 3GPP technical meetings for IEEE 802.16 standard; and has proposed and completed an EPSRC project at King’s College London.

Dr Ghorashi is a Fellow of Higher Education (FHEA) and a senior member of IEEE & British Computer Society, has supervised more than 200 MSc, 14 PhD and 2 post-doc students, has four US patents, and published more than 140 technical research papers in high-quality journals and international conferences (Google Scholar H-index = 29, i10-index = 67).

He is a technical reviewer of many prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, IEEE IoT Journal, Expert Systems with Applications (Elsevier), IEEE Transactions on Wireless Communications, IEEE Sensors Journal, IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Transactions on Signal Processing, Signal Processing (Elsevier) and more. He has been the guest editor of a special issue of Sensors Journal (MDPI) in "Machine Learning (ML) in Internet of Things (IoT) and Indoor Positioning/Localization", and the guest editor of a special issue of Journal of Reliable Intelligent Environments on "Intelligent software services for IoT and edge computing".

External roles

Technical reviewer of prestigious journals such as:

  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Artificial Intelligence
  • IEEE IoT Journal
  • Expert Systems With Applications (Elsevier)
  • IEEE Transactions on Wireless Communications
  • IEEE Sensors Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Communications Magazine
  • IEEE Transactions on Signal Processing
  • Signal Processing (Elsevier) and more

Guest editor of journals:

  • Special issue of Sensors journal (MDPI) in Machine Learning (ML) in Internet of Things (IoT) and Indoor Positioning/Localization
  • Special issue on intelligent software services for IoT and edge computing, Journal of Reliable Intelligent

I also have been the Communication committee chair of the 22nd Iranian Conference on Electrical Engineering (ICEE 2014).

CURRENT RESEARCH

Dr. Seyed Ali Ghorashi has four US patents and published more than 140 technical research papers in high-quality journals and international conferences (Google Scholar H-index = 29, i10-index = 67). He also has been involved in national and international projects such as Core 2 & 4 Mobile VCE, Dreams4Cars, EPSRC and active participation in 3GPP technical meetings for IEEE 802.16 standard.
 

Recent research

 

Research groups

PUBLICATIONS

For a complete list, please visit Dr Seyed Ali Ghorashi’s Google Scholar page.

2023

  • CSI-Based Human Activity Recognition Using Multi-Input Multi-Output Autoencoder and Fine-Tuning, Sensors 23, no. 7 (2023): 3591.
  • Enhancing CSI-Based Human Activity Recognition by Edge Detection Techniques, Information 14, no. 7 (2023): 404.
  • A real-time fingerprint-based indoor positioning using deep learning and preceding states, Expert Systems with Applications 213 (2023): 118889.
  • Convolutional Neural Network Based Human Activity Recognition using CSI. International Journal of Information & Communication Technology Research (2251-6107) 15, no. 2 (2023).

2022

  •  
  • Ford, Adrian, Ameer Al-Nemrat, Seyed Ali Ghorashi, and Julia Davidson. "The Impact of CISO Appointment Announcements on the Market Value of Firms." In Proceedings of the 17th International Conference on Information Warfare and Security, p. 375. 2022.
  • Alwan, Ahmed Abdulhasan, Mihaela Anca Ciupala, Allan J. Brimicombe, Seyed Ali Ghorashi, Andres Baravalle, and Paolo Falcarin. "Data quality challenges in large-scale cyber-physical systems: A systematic review." Information Systems 105 (2022): 101951.
  • Awonaike, Adebayosoye, Seyed Ali Ghorashi, and Rawad Hammaad. "A Machine Learning Framework for House Price Estimation." In International Conference on Intelligent Systems Design and Applications, pp. 965-976. Springer, Cham, 2022.
  • Nabati, Mohammad, Seyed Ali Ghorashi, and Reza Shahbazian. "Confidence interval estimation for fingerprint-based indoor localization." Ad Hoc Networks (2022): 102877.
  • Nabati, Mohammad, Seyed Ali Ghorashi, and Reza Shahbazian. "JGPR: a computationally efficient multi-target Gaussian process regression algorithm." Machine Learning (2022): 1-24.
  • Ahmed A. Alwan, Allan J. Brimicombe, Mihaela Anca Ciupala, Seyed Ali Ghorashi, Andres Baravalle, Paolo Falcarin, "Time-series clustering for sensor fault detection in large-scale Cyber–Physical Systems." Computer Networks 218 (2022): 109384.
  • Adrian Ford, Ameer Al-Nemrat, Seyed Ali Ghorashi, and Julia Davidson. "The impact of GDPR infringement fines on the market value of firms." Information & Computer Security 31, no. 1 (2022): 51-64.
  • Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, and Seyed Ali Ghorashi. "CSI-based human activity recognition using convolutional neural networks." In 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), pp. 7-12. IEEE, 2021.
  • Hossein Shahverdi, Parisa Fard Moshiri, Mohammad Nabati, Reza Asvadi, and Seyed Ali Ghorashi. "A CSI-based Human Activity Recognition using Canny Edge Detector." In The 4th International Conference on Activity and Behavior Computing (ABC2022). CRC Press: Taylor & Francis Group, 2022.

2021

  •  
  • Fard Moshiri, Parisa, Reza Shahbazian, Mohammad Nabati, and Seyed Ali Ghorashi. "A CSI-Based Human Activity Recognition Using Deep Learning." Sensors 21, no. 21 (2021): 7225. 
  • H. Navidan, P. F. Moshiri, M. Nabati, R. Shahbazian, S. A. Ghorashi, V. Shah-Mansouri, and D. Windridge, “Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation,” Computer Networks, p. 108149, 2021.
  • Z. E. Khatab, A. H. Gazestani, S. A. Ghorashi, and M. Ghavami, “A fingerprint technique for indoor localization using autoencoder based semi-supervised deep extreme learning machine,” Signal Processing, vol. 181, p. 107915, 2021.
  • E. K. Ghafi, E. Mehrshahi, and S. A. Ghorashi, “Reconfigurable Linear Antenna Arrays for Beam-pattern Matching in Collocated MIMO Radars,” IEEE Transactions on Aerospace and Electronic Systems (early access), 2021.
  • A. M. Sazdar, N. Alikhani, S. A. Ghorashi, and A. Khonsari, “Privacy preserving in indoor fingerprint localization and radio map expansion,” Peer-to-Peer Networking and Applications, vol. 14, no. 1, pp. 121-134, 2021.
  • Ford, Adrian, Ameer Al-Nemrat, S. Ali Ghorashi, and Julia Davidson. "The Impact of GDPR Infringement Fines on the Market Value of Firms." In ECCWS 2021-Proceeding of the 20th European Conference on Cyber Warfare and Security, pp. 473-481. Academic Conferences International Limited, 2021.
  • Ford, Adrian, Ameer Al-Nemrat, S. Ali Ghorashi, and Julia Davidson. "The Impact of Data Breach Announcements on Company Value in European Markets." In WEIS 2021: The 20th Annual Workshop on the Economics of Information Security. 2021.
  •  

2020

  • M. Nabati, S. A. Ghorashi, and R. Shahbazian, “Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning,” IEEE Communications Letters, vol. 25, no. 4, pp. 1192-1195, 2020.
  • A. H. Gazestani, S. A. Ghorashi, Z. Yang, and M. Shikh-Bahaei, “Joint Optimization of Power and Location in Full-Duplex UAV Enabled Systems,” IEEE Systems Journal (early access), 2020.
  • N. Alikhani, V. Moghtadaiee, and S. A. Ghorashi, “Fingerprinting based indoor localization considering the dynamic nature of wi-fi signals,” Wireless Personal Communications, vol. 115, no. 2, pp. 1445-1464, 2020.
  • A. H. Gazestani, S. A. Ghorashi, Z. Yang, and M. Shikh-Bahaei, “Resource Allocation in Full-Duplex UAV Enabled Multi Small Cell Networks,” IEEE Transactions on Mobile Computing (early access), 2020.
  • A. M. Sazdar, S. A. Ghorashi, V. Moghtadaiee, A. Khonsari, and D. Windridge, “A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems,” Journal of Information Security and Applications, vol. 53, p. 102515, 2020.
  • S. K. Rashed, R. Asvadi, S. Rajabi, S. A. Ghorashi, and M. G. Martini, “Power allocation for D2D communications using max-min message-passing algorithm,” IEEE Transactions on Vehicular Technology, vol. 69, no. 8, pp. 8443-8458, 2020.
  • B. Mousavinasab, A. H. Gazestani, S. A. Ghorashi, and M. Shikh-Bahaei, “Throughput improvement by mode selection in hybrid duplex wireless networks,” Wireless Networks, pp. 1-13, 2020.
  • N. Nabati, H. Navidan, R. Shahbazian, S. A. Ghorashi, and D. Windridge, “Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach,” IEEE Sensors Letters, vol. 4, no. 4, pp. 1-4, 2020.
  • V. Moghtadaiee, N. Alikhani, and S. A. Ghorashi, “Low-cost localisation considering LOS/NLOS impacts in challenging indoor environments,” International Journal of Sensor Networks, vol. 32, no. 1, pp. 15-24, 2020.

List of patents

  • Cellular communications systems, A. Aghvami, F. Said, S. A. Ghorashi, L. Wang - US Patent App. 10/521,536, 2006.
  • Virtual antenna array, M. Dohler, A. H. Aghvami, F. Said, S. A. Ghorashi - US Patent 7,594,010, 2009.
  • Electronic data communication systems, M. Dohler, A. H. Aghvami, F. Said, S. A. Ghorashi - US Patent App. 12/426,383, 2009.
  • Method and system for frequency relaying, M. Dohler, A. H. Aghvami, F. Said, S. A. Ghorashi - US Patent 8,681,684, 2014.

Full publication list on Google Scholar

For full list of my publications, please see:

Google Scholar

Please also see my ResearchGate profile.

COURSES TAUGHT

  • The Internet of Things (IoT)
  • Artificial Intelligence & Machine Vision
  • Data Communications and Networks
  • Computer Systems and Networks
  • Wireless & Mobile Networks
  • Applied Mathematics
  • Statistics & Probability for Engineering Applications
  • Engineering Mathematics
  • Stochastic Processes

Publications

The last four years of publications can be viewed below. 

Full publications list

Visit the research repository to view a full list of publications

Research repository

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