Cognitive Systems Research Centre

The cognitive Systems Research Centre (CSRC) specialises in the field of engineering cognition

termsTerms of Reference

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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Objectives:

  1. Establish collaboration in Cognitive systems research among academic staff, researchers, and (under)/(post)graduate students in the university
  2. Establish collaborative links with national and international higher education, research institutions, and industry in areas of mutual interest.
  3. Increase access to related interdisciplinary activities throughout the university
  4. Work with industry and government bodies on cognitive systems important to the implementation of emerging and future technologies
  5. Establish a research environment for the design, development, testing, and evaluation of Cognitive Systems in emerging and future areas of science and technology
  6. Provide an opportunity for graduate and undergraduate students to work in a vibrant research environment

Videos about CSRC research

Video Analytics using AI on the edge

This video demonstrates how to face detection can be done to a video feed using AI on the edge.

VNF Migration

This video demonstrates how VNF instances are migrated among instances using decisions based on load prediction with Machine Learning.

QoE Web-Application

Quality of Experience Web-Application.

QoE Video Streaming

Quality of Experience Video Streaming.

The Knowledge Plane in SDN

The Knowledge Plane in SDN: Analytics API For Containers' Resources Utilization on the cloud.

Areas of Research

The centre will engage in the following areas of research

  • Smart Internet Technologies
  • Assistive and enabling systems
  • Cognitive Human-Machine Interfaces and Interactions
  • Cyber Physical Interaction
  • Data Transformation using Artificial Intelligence and Machine Learning
  • Distributed Autonomous Systems
  • Human Sensing
  • Interconnected Objects and M2M Communication
  • Robotics and automation

Key facilities

Network Automation (CoRoS)

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.

Network_Automation

5G Self-organized Networks (SON)

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.

5G_SON

5G Positioning as a service

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.


Delta and son

Technologies for Smart Cities

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.

IoT_Smart_Cities

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.

6G Vision6G Technologies

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.

Publications

Please click for more publications:
Professor Tasos DagiuklasProfessor Tasos Dagiuklas

Ugwuanyi, E., Iqbal, M. and Dagiuklas, A. (2021). A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Distributed MEC. IEEE Transactions on Computational Social Systems.

professor mohammad osman tokhiProfessor Mohammad Osman Tokhi

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

bugraDr Bugra Alkan

Alkan, B., Seth, B., Galvin, K. and Johnson, A. (2020). A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs. Complex Systems Design & Management. Paris 15 - 17 Dec 2020

oswaldoDr Oswaldo Cadenas

Cadenas, O and Megson, GM (2019). Preprocessing 2D data for fast convex hull computations. PLoS ONE. 14 (2), p. e0212189. https://doi.org/10.1371/journal.pone.0212189

Chen

Dr Daqing Chen

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

mikeMike Child

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

duan

Dr Fang Duan

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

Iqbal

Dr Muddear Iqbal

Ugwuanyi, E., Iqbal, M. and Dagiuklas, A. (2021). A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Distributed MEC. IEEE Transactions on Computational Social Systems.

MondalDr Shyamal Mondal

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#

Tariq SattarProfessor Tariq Sattar

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

seligDr Jon Selig

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

georgeGeorge Ubakanma

Shahzadi, S., Iqbal, M., Wang, X., Ubakanma, G., Dagiuklas, A. and Tchernykh, A. (2019). Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper). Wang, Xinheng, Gao, Honghao, Iqbal, Muddesar and Min, Geyong (ed.) CollaborateCom 2019 - 15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing. London 19 - 22 Nov 2019 Springer International Publishing. pp. 3-11

zhanfang zhaoDr Zhanfang Zhao

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

zhu yongxuDr Yongxu Zhu

Gan, X., Zhong, C., Zhu, Y. and Zhong, Z. (2021). User Selection in Reconfigurable Intelligent Surface Assisted Communication Systems. IEEE Communications Letters.https://doi.org/10.1109/lcomm.2020.3048782

Books

Kondoz, A. & Dagiuklas, T. (eds) (2017). Connected Media in the Future Internet Era, Springer

Staff directory

To view the full Cognitive Systems Research Centre staff list

Partnerships for CSRC

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:

  • University of Malaysia, Malaysia – Research collaboration and joint PhD
  • University Malaysia Pahang, Malaysia – Research collaboration
  • University Technology MARA, Malaysia – Research visit and collaboration
  • University Technology Malaysia, Malaysia – Research visit and collaboration, Joint PhD
  • Nanyang Technological University, Singapore – Research visit and collaboration
  • Shifa Tameer-e-Millat University, Pakistan – Research collaboration
  • Shifa International Hospital, Pakistan – Research collaboration
  • Ghulam Iqbal Khan Institute, Pakistan – Research collaboration
  • Hindustan Institute of Technology and Science, India – Research collaboration
  • University of Sheffield, UK – Research collaboration
  • Loughborough University, UK – Research visit and collaboration
  • Kings College, UK
  • University of Patras, Greece
  • University of Cagliari, Italy
  • Koc University, Turkey
  • University of Aveiro, Portugal
  • Open University of Cyprus, Cyprus
  • Technical University of Eindhoven, Netherlands

H2020 European Framework Program:
Open Distributed Digital Content Verification for Hyper-connected Sociality (SocialTruth)

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:
Self Organization towards reduced cost and energy per bit for future Emerging radio Technologies (SONET)

sonetSONET 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:
Wide Smart Safe Robust and Resilient Smart Cities Application Using Fog Computing

watchWaTCH 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.

Past Projects

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.

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