Dr Seyed Ali Ghorashi
Reader
Director of Impact and Innovation
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.
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 = 30, i10-index = 77). 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
- Internet of Behavior (most recent publication)
- House price estimation using machine learning techniques (most recent publication)
- Generative Adversarial Networks (GANs) (most recent publication)
Research groups
- Smart City Research Group
- Centre of Fintech
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
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
- 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 Sensors. https://doi.org/10.3390/s21217225
- 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
- Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation Computer Networks. 194 (Art. 108149). https://doi.org/10.1016/j.comnet.2021.108149
- Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning IEEE Communications Letters. 25 (4), pp. 1192-1195. https://doi.org/10.1109/LCOMM.2020.3047352