Dr Seyed Ali Ghorashi
Director of Impact and Innovation
Reader
Department of Engineering & Computing , School of Architecture Computing and Engineering
Dr Seyed Ali Ghorashi has over 20 years of experience in industry and higher education. He is a Fellow of the Higher Education Academy (FHEA), a Senior Member of IEEE, and a professional member of the British Computer Society (BCS). He has published more than 140 peer-reviewed journal and conference papers and has been involved in both national and European research projects.
Qualifications
- BSc, MSc, PhD, FHEA, MBCS
Areas Of Interest
Seyed Ali Ghorashi’s research expertise includes optimisation, signal processing, digital health, 5G and beyond telecommunication networks, positioning and tracking, the Internet of Things (IoT) and digital twins, smart cities, robotics, self-driving vehicles, and the application of artificial intelligence (AI) across these domains.
OVERVIEW
Dr Seyed Ali Ghorashi holds a BSc and MSc in Electrical and Computer Engineering from the University of Tehran. He earned his PhD in Telecommunications and Networks from King's College London, where he also worked as a postdoctoral researcher.
Dr Ghorashi has held academic positions in both the UK and the Middle East and worked as a Senior Researcher at Samsung Electronics (UK) Ltd. With over 20 years of experience in industry and higher education, he has been involved in major national and international projects, including the UK Mobile VCE (Core 2 & 4), the European Dreams4Cars project, 3GPP technical meetings and an EPSRC project at King's College London
Dr Ghorashi is a Fellow of the Higher Education Academy, a Senior Member of IEEE, and a BCS member. He has extensive experience in academic supervision, having guided over 200 MSc students, 16 PhD candidates, and 2 post-doctoral researchers. He also holds four US patents and has published over 140 peer-reviewed papers, with a Google Scholar H-index of 32 and an i10-index of 84. Additionally, he serves as a reviewer for top academic journals and has guest-edited special issues.
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/Localisation
- Special issue on intelligent software services for IoT and edge computing, Journal of Reliable Intelligent
I have also 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 = 32, i10-index = 84). He has also been involved in national and international projects such as Core 2 & 4 Mobile VCE, Dreams4Cars, EPSRC and active participation in 3GPP technical meetings for the IEEE 802.16 standard.
His current research interests include Digital Health, AI for Sustainability, and Digital Twin technologies.
Recent research
- Internet of Behaviour (most recent publication)
- House price estimation using machine learning techniques (most recent publication)
- Generative Adversarial Networks (GANs) (most recent publication)
Research groups
- AI Centre for Public Sector
- Smart Cities Research Group
Publications
Browse past publications by year.
Full publications list
Visit the research repository to view a full list of publications
- Efficiently Improving the Wi-Fi-Based Human Activity Recognition, Using Auditory Features, Autoencoders, and Fine-Tuning Computers in Biology and Medicine. 172 (Art. 108232). https://doi.org/10.1016/j.compbiomed.2024.108232
- A CSI-based Human Activity Recognition using Canny Edge Detector in: Ahad, M., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2. CRC Press: Taylor & Francis Group, pp.67-82
- Complexity Reduction in Beamforming of Uniform Array Antennas for MIMO Radars IEEE Transactions on Radar Systems. 1, pp. 413-422. https://doi.org/10.1109/TRS.2023.3309579
- Enhancing CSI-Based Human Activity Recognition by Edge Detection Techniques Information. 14 (7), p. 404. https://doi.org/https://doi.org/10.3390/info14070404
- The impact of GDPR infringement fines on the market value of firms Information and Computer Security. 31 (1), pp. 51-64. https://doi.org/10.1108/ICS-03-2022-0049
- CSI-Based Human Activity Recognition Using Multi-Input Multi-Output Autoencoder and Fine-Tuning Sensors. 23 (7), p. 3591. https://doi.org/10.3390/s23073591
- A real-time fingerprint-based indoor positioning using deep learning and preceding states Expert Systems with Applications. 213 (Art. 118889). https://doi.org/10.1016/j.eswa.2022.118889
- Time-series clustering for sensor fault detection in large-scale Cyber-Physical Systems Computer Networks. 218 (Art. 109384). https://doi.org/10.1016/j.comnet.2022.109384
- Confidence interval estimation for fingerprint-based indoor localization Ad Hoc Networks. 134 (Art. 102877). https://doi.org/10.1016/j.adhoc.2022.102877
- JGPR: a computationally efficient multi-target Gaussian process regression algorithm Machine Learning. 111, pp. 1987-2010. https://doi.org/10.1007/s10994-022-06170-3
