Intelligent Systems and Networks (ISN)

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Intelligent Systems & Networks (ISN) research group develops new technologies and innovative use cases to enhance efficiency and create wealth in our digital society. This is delivered through research in optimised trustworthy connectivity, smart sensing, intelligent IT services, systems and infrastructure.

Communications Networks

The researchers in this sub-group thrive for innovation within wireless and wired communication networks. In particular, this research sub-group works to find innovative solutions of the efficiency and productivity enhancement related problems of digital transformation within our global community by exploiting wired or wireless connectivity. This includes efficient signal modelling, signal acquisition, system modelling and optimisation, network security and scalability as well as energy-efficiency, latency and lifetime of the networks along with innovative business modelling. Trustworthy low cost connectivity solution development to serve high density connectivity demand as well as high volume-high quality data demand are major research and development vision of the group.

Areas of Activity

  • Smart sensing and processing for intelligent systems
  • Future generation of cellular network’s architecture development
  • Multi-layer encoding/decoding for 5G and beyond
  • Wireless energy transfer in 5G and beyond
  • Future network intelligence and quality of experience (QoE) measures
  • Wireless communication systems design and optimization
  • Network capacity and coverage reliability
  • Network security and scalability
  • Radio channel modeling for wireless networks
  • Software defined network configuration/reconfiguration
  • Cellular network CAPEX/OPEX optimization and business modelling
  • Semantic system development and Trust frame-works

Staff Working in this Group

Distributed Computing

The researchers in this sub-group work towards intelligent and efficient solution development by exploiting application specific distributed nature of the data sources and data-sinks; such as massive-IoT, machine-to-machine (M2M) communications, vehicle to vehicle (V2V) communication etc. Understanding such distributive characteristics as well as energy-efficient topology exploitation to define edge processing, processing virtualisation, secure data tracking and value generation are the main aims of research in this sub-group. Developing innovative decision support systems through IoT data analytics and predictive models is another trend of research expertise of this sub-group. The researcher in this sub-group are also interested in the novel applications of secure and optimised Edge and Cloud Computing technologies.

Areas of Activity

  • Application of distributed computing models to cyber physical systems and ubiquitous computing
  • Smart Cities/IoT infrastructure and system models
  • Innovative use of Distributed Ledger Technologies (DLT)
  • Federated Cloud agreement models within budget and resource constraints
  • Dynamic and adaptive traffic cloud resource allocation models, availability of resources to adapt to a service level agreement (SLA), application specific processing capacity, power, storage and latency optimization and resource allocation
  • Dynamic revenue modeling for federated cloud/edge computing
  • Business transformation through innovative use of technology
  • Models for Education, Training and supporting Computer Science

Staff Working in this Group

Projects
  • Autonomous Workload Balancing in Cloud Federation Environments with Different Access Restrictions.
  • Cognitive Edge Computing based Resource Allocation Framework for Internet of Things.
  • Universal and Dynamic Clustering Scheme for Energy Constrained Cooperative Wireless Sensor Networks.
  • RF Sensing Based Target Detector for Smart Sensing Within Internet of Things in Harsh Sensing Environments.
  • Energy Efficient Self-Reconfiguration Scheme for Visual Information based M2M Communication.
  • Birmingham In Real Time (BIRT) project in partnership with West Midlands Combined Authority (WMCA).
  • The future use of drones in the West Midlands region in partnership with WMCA, Coventry University, Birmingham and Coventry airports. 
  • Smart Building Project in partnership with PTC ThingWorx and InVMA.
  • Smart Automotive Magnesium Die Casting (SAMDC) in partnership with Meridian Lightweight Technologies United Kingdom (MLTUK).
  • European Programme for Sustainable ICT in Academic Education - Erasmus
  • Healthcare Support using Domotics and IT - Erasmus
  • Living Labs - LILA EU
  • European Research Hub
  • KTP – Optimisation of Wireless Networking Infrastructure
  • KTP – A model for a Secure and Optimised SDN
Key Publications
  • Raouf Abozariba, Md Asaduzzaman and Mohammad Patwary, “Dynamic Spectrum Allocation in Cellular Networks under Targeted Performance and Budget Restriction”, IEEE Transaction on Wireless Communication, vol. 17, no. 3, pp. 1589 -1603, Mar. 2018
  • M. K. Naeem, M. Patwary and M. Abdel-Maguid, “Universal and Dynamic Clustering Scheme for Energy Constrained Cooperative Wireless Sensor Networks,” in IEEE Access, vol. 5, pp. 12318-12337, Jul. 2017. 
  • Manning, Katherine E. and Tait, Roger and Suckling, John and Holland, Anthony J. (2017) J. Gray matter volume and cortical structure in Prader-Willi syndrome compared to typically developing young adults. Neuro-Image: Clinical, 17. pp. 899-909,  2017 ISSN 22131582
  • S. K. Bolisetti, M. Patwary, A. H. Soliman and M. Abdel-Maguid, “RF Sensing Based Target Detector for Smart Sensing Within Internet of Things in Harsh Sensing Environments,” in IEEE Access, vol. 5, pp. 13346-13363,  Aug. 2017.
  • Raouf Abozariba, Md Asaduzzaman and Mohammad Patwary, “Radio Resource Sharing Framework for Cooperative Multi-operator Networks With Dynamic Overflow Modeling,” in IEEE Transactions on Vehicular Technology, vol. 66, no. 3, pp. 2433-2447, Mar. 2017.
  • Pino, Luca and Spanoudakis, George and Krotsiani, Maria and Mahbub, Khaled (2017) Pattern Based Design and Verification of Secure Service Compositions. IEEE Transactions on Services Computing, 99. ISSN 1939-1374, DOI: 10.1109/TSC.2017.2690430
  • Chen, Tao and Bahsoon, Rami and Tawil, Abdel-Rahman H. (2014) Scalable service-oriented replication with flexible consistency guarantee in the cloud. Information Sciences, 264. pp. 349-370. ISSN 0020-0255
  • M. M. Gaber, A. Aneiba, S. Basurra, O. Batty, A. Elmisery, Y. Kovalchuk, M.H. Ur Rehman, Internet of Things and Data Mining: From Applications to Techniques and Systems, WIREs Data Mining and Knowledge Discovery, Wiley, 2018.
  • Cervantes-Solis, J. W., & Baber, C. (2016). Towards Theme Discovery Paradigm in the Internet of Things. In P. Waterson, R. Sims, & E.-M. Hubbard (Eds.), Contemporary Ergonomics and Human Factors 2016 (pp. 335–340). Chartered Institute of Ergonomics & Human Factors.
  • A. Amjad, M. Sharma, R. Abozariba, M. Asaduzzaman, M. Patwary and E. Benkhelifa, ‘Autonomous Workload Balancing in Cloud Federation Environments with Different Access Restrictions’, 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Orlando, 2017, pp. 1-6.
Research Students
Research Students:
  • Mr Aliyu Aliyu
  • Ms Dalia El Banna Abdelghany Ashmawy
  • Ms AlaaAllah Elsabaa
  • Mr Mujahid Muhammad
  • Mr Oginni Oluwaseyi
  • Mr Oladipupo Adekoya
  • Ms Abida Perveen
  • Mr Yangyang Song
  • Mr Shantanu Islam

 

Research Projects:

  • Quality of Service (QoS)/ Quality of Experience (QoE) aware architecture for networking of multimedia over packet switched networks using Flexilink

  • Design of Quality of Service Orientated Network Management Protocol for Real-time Interactive Video/Audio Transmission over Flexilink

  • Secure Controller Framework for Software Defined Networks

  • Real-time Multimedia over Software-Defined Networks

  • Energy heterogeneity constrained wireless power transfer for 5G end-use

  • Massive Internet of Things (mIoT) Traffic Flow Management in 5G Architecture

Access all of our research publications in our digital archive.   BCU Open Access