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The Smart Emerging Technologies Lab investigates research which aims to develop more proactive, intelligent, adaptive or autonomous systems that can learn, adapt and make decisions without the need for human control.
The SET Research Group is focused on internationally-lead research in the domains of Terrestrial and Non-Terrestrial Networks, Cyber-physical Systems, Network-enabled AI Services, Digital Security & Resilience of Connected Systems, OpenRAN and Network Diversification, Autonomous Vehicles/Drones Communications and Safety Management and Disaster and Emergency Response Communications.
SET Research Themes
Our research encompasses a range of innovative advancements transforming various sectors through increased efficiency, intelligence, and connectivity. Key research themes within this field include:
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AIoT platform
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DIGITLab
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The Disinformation Game
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People Powered Algorithms for Desirable Social Outcomes
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UK-India Future Networks Initiative
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Internet of food things
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Continuous Ambulatory Vestibular Assessment (CAVA)
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Predicting train delay
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Developing an AI ensemble system for improving seabed mapping
Collaborations
Members of the group have many academic collaborations across the world including: MIT, Georgia Institute of Technology, University of Arizona, UC Berkeley, UC San Diego, USC-ISI Los Angeles, University of Florida, UCL, Southampton, Surrey, QMUL, Oxford, St Andrews, Exeter, Lincoln Cambridge, Beijing University of Posts & Telecommunications (BUPT), Tsinghua University, Indian Institutes of Technology in Mumbai, Madras, Kanpur, Hyderabad, Delhi, Mandi and IISc Bangalore, National Yang Min Chiao Tung University, Taiwan, China University of Geosciences (Wuhan). The SET Group also has significant engagement and collaborations with Industry, including- Samsung, BT Adastral, Ericsson Research, Vodafone, Satellite Applications Catapult, Digital Catapult.
Plans for the future
The group will explore EPSRC and International funding on the challenges around Future Networks and further convergence of TN and NTNs Resources. Other areas include Protecting Global Network Time, Light-weight Protocols for Network-enabled AI and Digital Security & Resilience of UK CNI. Engaging with Industry will also be important for the group’s strategy.
Key publications
C.-Y. Hsieh, Y. Ren, and J.-C. Chen. ”Edge-cloud offloading: Knapsack potential game in 5G multi-access edge computing“, IEEE Transactions on Wireless Communications (TWC), vol. 22, no. 11, p. 7158 - 7171, Nov. 2023
Y. Ren, T. Phung-Duc, J.-C. Chen, and F. Y. Li. "Enabling dynamic autoscaling for NFV in a non-standalone virtual EPC: Design and analysis", IEEE Transactions on Vehicular Technology (TVT), vol. 72, no. 6, p. 7743 - 7756, Jun. 2023
S. Wang, Y. Ren, G. Parr, Y. Guan, and L. Shao. "Invariant deep compressible covariance pooling for aerial scene categorization", IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 59, no. 8, p. 6549-656113, Aug. 2021.
Phillips, John, et al. "Portable wearable eye movement monitoring system, device and monitoring method." U.S. Patent Application No. 17/058,754.
Newman, Jacob L., John S. Phillips, and Stephen J. Cox. "1D convolutional neural networks for detecting nystagmus." IEEE Journal of Biomedical and Health Informatics 25.5 (2020): 1814-1823.
Alghamdi, Mostafa; Parr, Gerard; Wang, Wenjia “Heterogeneous Machine Learning Ensembles for Predicting Train Delays”, IEEE Journal-Transactions on Intelligent Transportation Systems November 2023
Ahmadzadeh, S., Parr, G. & Zhao, W., 21 May 2021, “A review on communication aspects of demand response management for future 5G IoT- based smart grids”, In: Journal IEEE Access . 9, p. 77555-77571 17 p
Luo, Y., Luo, C., Min, G., Parr, G. & McClean, S. L., Aug 2021, On the study of sustainability and outage of SWIPT-enabled wireless Communications, Journal IEEE Journal of Selected Topics in Signal Processing. 15, 5, p. 1159-1168 10 p.
Funding
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