The Cognitive Systems Research Centre (CSRC) specializes in the field of engineering cognition, where the physical world is integrated, converged, and interacts with cyber-physical and computational systems. Technologies related to cognitive systems are transforming the way people interact with engineered systems. The Centre works at the following cutting-edge technologies: 5G and 6G, edge cloud, multimodal IoT systems, autonomous robots, control, big data, AI, and decision support systems.
The Centre carries out fundamental and applied research in emerging and future areas of smart applications where the quality of life can be improved (e.g. smart cities, agriculture, and health) and sustainability and productivity can be enhanced (e.g. manufacturing, sustainable development, smart grid).
Cognitive Systems Research Centre is led by Prof. Tasos Dagiuklas.
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This video demonstrates how to face detection can be done to a video feed using AI on the edge.
This video demonstrates how VNF instances are migrated among instances using decisions based on load prediction with Machine Learning.
Quality of Experience Web-Application.
Quality of Experience Video Streaming.
The Knowledge Plane in SDN: Analytics API For Containers' Resources Utilization on the cloud.
The centre will engage in the following areas of research
The Cognitive Routing System (CoRoS) is an SDN-Routing framework that leverages the centralized routing model for dynamic networks. The following figure depicts a reference communication model in the context of a battlefield scenario. The mobile end-devices (e.g., soldiers) connect with a switching node using a broadcast link like Wi-Fi, and the switching nodes connect using point-to-point links. The controller connects the switching nodes using a South-Bound interface to monitor and configure the underlying topology information.
A revelation in today´s mobile networks is SON (Self-Organizing technology) technology, which is seen as a playing pivotal role in reducing the management costs of networks. LSBU’s 5G SON testbed is capable of collecting information from the network, so as to perform self-configuration, self-optimization, self-healing and etc, so as to reduce the operation cost through less human involvement, and to optimize the service quality through robust and prompt network optimization.
We have designed and implemented DEep Learning-based co-operaTive Architecture (DELTA). It uses machine learning model for positioning as a service through a 3D multi-layered fingerprint radiomap. This approach can be applied to use cases such as 3D indoor navigation in multi-floor smart factories or in large complex buildings.
This Smart Cities research is funded by Innovate UK to distribute processing to the network edge as much as possible exploiting a new type of unified telecommunication and micro-data center nodes able to jointly provide networking, local processing, and storage resources for the support of novel applications across users with heterogeneous capabilities. The WATCH platform brings a collaborative environment to a variety of sources and devices in a smart city domain.
The objective is to improve the provisioning of smart surveillance (object detection, object tracking, and face or text recognition) using edge computing from different types of cameras (for example, body-worn cameras, Smartphone cameras, city cameras, and car recorders), IoT devices and vehicles, generating media analytics. Future Intelligence Ltd, a leading SME, is already providing solutions for smart cities and smart lighting and markets. This project will expand its solution portfolio with new capabilities and new featured products and services. On the other hand, London Southbank University will expand its academic leadership in the advanced cloud infrastructures area.
5G networks represent a variety of services infrastructures to transform current industries. However, 6G networks are expected to have a breakthrough by enabling a variety of cognitive-communication services in diverse environments. This calls for an establishment of a new and emerging domain for research that lives on the overlapping boundary of Communication Networks, AI, Machine Learning, and collaborative Psychology. Responding to this need, We have established a research domain in SuiTE Lab to proposed a concept of Collaborative Cognitive-Communication (3C) Systems, which contribute towards 6G standardization, opening new research dimensions involving human psychology patterns and the systemic-linking method to AI, Data Science, Social Collective Intelligence for applications such as holographic communication, self-driving vehicles, context-aware infrastructure and personalized interfaces to support industry 4.0 applications. We have implemented a proof of concept to demonstrate the technical capabilities of this novel concept to a Technology Readiness Level (TRL) 3, with the potential to produce a full TRL9 3C System in the future to support application areas for 6G technology.
Hadi, M., Darus, I.Z.M., Ab.Talib, M., Yatim, H.M. and Tokhi, M.O. (2021). Vibration suppression of the horizontal flexible plate using proportional–integral–derivative controller tuned by particle swarm optimization. Journal of Low Frequency Noise Vibration and Active Control.https://doi.org/10.1177/1461348420934636
Li, B., Yang, Z.P., Chen, D.Q., Liang, S.Y. and Ma, H. (2020). Maneuvering target tracking of UAV based on MN-DDPG and transfer learning. Defence Technology. https://doi.org/10.1016/j.dt.2020.11.014
Child, M, Rosner, P and Counsell, S (2019). A Comparison and Evaluation of Variants in the Coupling Between Objects Metric. Journal of Systems and Software. 151 (2019), pp. 120-132. https://doi.org/10.1016/j.jss.2019.02.020
Nafiah, F, Tokhi, MO, Shirkoohi, G, Duan, F, Zhao, Z, Asfis, G and Rudlin, J (2020). Parameter analysis of pulsed eddy current sensor using principal component analysis. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2020.3036967
Mondal, C. S. and Patricio L. C. M. (2020). A robot design for wind generator support structure inspection. CLAWAR 2020: 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines. Moscow, Russian Federation 24 - 26 Aug 2020 CLAWAR Association. https://doi.org/10.13180/clawar.2020.24-26.08.id#
Santo, F., Sattar, T., Mba, D. and Edwards, G. (2019). Identification of Fatigue Damage Evaluation using Entropy of Acoustic Emission Waveform. SN Applied Sciences. 2 (138). https://doi.org/10.1007/s42452-019-1694-7
Bayril, D. and Selig, J. (2020). On Plane-Symmetric Rigid-Body Motions. Journal of Geometry. 111 (29). https://doi.org/10.1007/s00022-020-00543-6
Nafiah, F, Tokhi, MO, Shirkoohi, G, Duan, F, Zhao, Z, Asfis, G and Rudlin, J (2020). Parameter analysis of pulsed eddy current sensor using principal component analysis. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2020.3036967
Kondoz, A. & Dagiuklas, T. (eds) (2017). Connected Media in the Future Internet Era, Springer
The team draws on additional expertise and access to advanced research techniques by engaging with academic partners from other universities in the UK and oversees. Examples of our partnerships include:
H2020 European Framework Program: |
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SocialTruth: provides an innovative and distributed way to achieve both content and author credibility verification and detection of fake news increasing, thus, the trust in Social Media. SocialTruth solution along with the implementation of Digital Companion can be used to detect fake news by both professionals (i.e. journalists) and individuals (daily social media users), allowing for improved governance and information veracity in Social Media.
H2020 Marrie Currie RISE European Framework Program: |
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SONET A revelation in today´s mobile is networks is SON (Self-Organizing technology) technology, which is seen as a playing pivotal role towards reducing the management costs of networks. LSBU’s 5G SON testbed is capable of collecting information from the network, so as to perform self-configuration, self-optimization, self-healing and etc, so as to reduce the operation cost through less human involvement, and to optimize the service quality through robust and prompt network optimization.
Innovate UK: |
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WaTCH objective is to improve the provisioning of smart surveillance (object detection, object racking, and face or text recognition) using edge computing from different types of cameras (for example, body-worn cameras, Smartphone cameras, city cameras and car recorders), IoT devices and vehicles, generating media analytics. Future Intelligence Ltd, leading SME, is already providing solutions for smart city and smart lighting and markets. This project will expand its solution portfolio with new capabilities and new featured products and services. On the other hand, London Southbank University will expand its academic leadership in advanced cloud infrastructures area.
VICTORY: Secure VNF Service Management in 5G using Blockchain - Funding Body: Innovate UK, 2020.
CiProVoT (Civil Protection for Volunteers Training). Funded by: ERASMUS+ European Eunion Commision, KA2- “Cooperation for innovation and the exchange of good practices", Funding Body: Erasmus, 2019.