Loading [MathJax]/extensions/MathMenu.js
Nektarios Georgalas - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Nektarios Georgalas

Also published under: N. Georgalas

Publications
35
Citations
823
Publications by Year
19992025
Co-Authors:
Show All Co-Authors (79)
Image of author Nektarios Georgalas

Nektarios Georgalas

Also published under: N. Georgalas

Affiliation

Applied Research Department
British Telecom
London, U.K.

Publication Topics

Biography

Nektarios Georgalas (Member, IEEE) received his M.Sc. in electrical and computer engineering from the University of Patras, Patras, Greece, in 1996, and his M.Phil degree in computation from UMIST and the Ph.D. degree in computer science from the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K., in 1997 and 1998, respectively.,He is a Seasoned Technology Leader with British Telecom (BT), U.K., where he is currently a Manager with Innovation and Solutions Architecture, driving the implementation of Autonomous IoT ecosystems through AI, machine learning, and advanced analytics. With 26 years at BT, he has served as a Senior and Principal Researcher with the BT Research Department and currently leads the I...
Publications
35
Citations
823
Publications by Year
19992025
Co-Authors:
Show All Co-Authors (79)
Author's Published Works

Showing 1-25 of 35 results

  • Sort

Filter Results

Show

Sort By

Results

Real-Time Distributed Charging Station Recommendation for Electric Vehicles: A Federated Meta-RL Approach

Yongchao Zhang;Jia Hu;Geyong Min;Jie Gao;Nektarios Georgalas

IEEE Transactions on Mobile Computing
Year: 2025 | Early Access Article |
The growth of Electric Vehicles (EVs) places an increasingly heavy burden on the limited charging infrastructure, necessitating an effective charging station recommendation strategy that assists EVs in finding the most suitable charging stations. Deep reinforcement learning is a promising technology that has been applied to optimize EVs' charging recommendations. However, existing schemes have low...Show More

Real-Time Distributed Charging Station Recommendation for Electric Vehicles: A Federated Meta-RL Approach

Yongchao Zhang;Jia Hu;Geyong Min;Jie Gao;Nektarios Georgalas

Year: 2025 | Early Access Article |

Toward Web3 Applications: Easing the Access and Transition

Guangsheng Yu;Xu Wang;Qin Wang;Tingting Bi;YiFei Dong;Ren Ping Liu;Nektarios Georgalas;Andrew Reeves

IEEE Transactions on Computational Social Systems
Year: 2024 | Volume: 11, Issue: 5 | Journal Article |
Cited by: Papers (2)
Web3 is leading a wave of the next generation of web services that even many Web2 applications are keen to ride. However, the lack of Web3 background for Web2 developers hinders easy and effective access and transition. On the other hand, Web3 applications desire encouragement and advertisement from conventional Web2 companies and projects due to their low market shares. In this article, we propos...Show More

Toward Web3 Applications: Easing the Access and Transition

Guangsheng Yu;Xu Wang;Qin Wang;Tingting Bi;YiFei Dong;Ren Ping Liu;Nektarios Georgalas;Andrew Reeves

Year: 2024 | Volume: 11, Issue: 5 | Journal Article |

Joint Charging Scheduling and Computation Offloading in EV-Assisted Edge Computing: A Safe DRL Approach

Yongchao Zhang;Jia Hu;Geyong Min;Xin Chen;Nektarios Georgalas

IEEE Transactions on Mobile Computing
Year: 2024 | Volume: 23, Issue: 9 | Journal Article |
Cited by: Papers (6)
Electric Vehicle-assisted Multi-access Edge Computing (EV-MEC) is a promising paradigm where EVs share their computation resources at the network edge to perform intensive computing tasks while charging. In EV-MEC, a fundamental problem is to jointly decide the charging power of EVs and computation task allocation to EVs, for meeting both the diverse charging demands of EVs and stringent performan...Show More

Joint Charging Scheduling and Computation Offloading in EV-Assisted Edge Computing: A Safe DRL Approach

Yongchao Zhang;Jia Hu;Geyong Min;Xin Chen;Nektarios Georgalas

Year: 2024 | Volume: 23, Issue: 9 | Journal Article |

Proactive Device Management for the Internet of Things

Tom Bowman;Nektarios Georgalas;Andrew Reeves;Andrew Ennis;Cathryn Peoples;Brendan Black;Fadi El-Moussa;Adrian Moore

2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Year: 2023 | Conference Paper |
IoT ecosystems are rapidly expanding, and device management is emerging as a key challenge due to the scale, complexity, and dynamism of IoT systems. The adoption of autonomous techniques shows promise to alleviate key issues including maintaining organisational security when large volumes of IoT devices are being added and removed from a telecommunications network. Here we propose a proactive IoT...Show More

Proactive Device Management for the Internet of Things

Tom Bowman;Nektarios Georgalas;Andrew Reeves;Andrew Ennis;Cathryn Peoples;Brendan Black;Fadi El-Moussa;Adrian Moore

Year: 2023 | Conference Paper |

IoT Device Lifecycle Management

Nektarios Georgalas;Andrew Ennis;Cathryn Peoples;Joseph Rafferty;Philip Perry;Claudia Cristina;Brendan Black;Adrian Moore;Tom Bowman;Bryan Scotney;Andrew Reeves

2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Year: 2023 | Conference Paper |
This paper presents an approach to autonomous IoT device lifecycle management for our developed Matrix IoT platform. We discuss our approach for zero touch onboarding, IoT device failure, device end-of-life offboarding and SLAs to support device lifecycle management. We collected timings on the key stages of our proposed onboarding process. The total onboarding time takes on average 6.4 seconds to...Show More

IoT Device Lifecycle Management

Nektarios Georgalas;Andrew Ennis;Cathryn Peoples;Joseph Rafferty;Philip Perry;Claudia Cristina;Brendan Black;Adrian Moore;Tom Bowman;Bryan Scotney;Andrew Reeves

Year: 2023 | Conference Paper |

Matrix Platform: Empowering Smart Ports with Advanced Video Analytics for Enhanced Security, Safety, and Efficiency

Brendan Black;Philip Perry;Joseph Rafferty;Claudia Cristina;Tom Bowman;Cathryn Peoples;Andrew Ennis;Andrew Reeves;Nektarios Georgalas;Adrian Moore;Bryan Scotney

2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Year: 2023 | Conference Paper |
This paper underscores the crucial role of video anonymization in smart ports, were data privacy and security hold critical importance. It introduces the Matrix Platform, specifically designed for smart environments, and highlights its strong video anonymization capabilities. The platform employs advanced Video Anonymization techniques to effectively balance the preservation of data confidentialit...Show More

Matrix Platform: Empowering Smart Ports with Advanced Video Analytics for Enhanced Security, Safety, and Efficiency

Brendan Black;Philip Perry;Joseph Rafferty;Claudia Cristina;Tom Bowman;Cathryn Peoples;Andrew Ennis;Andrew Reeves;Nektarios Georgalas;Adrian Moore;Bryan Scotney

Year: 2023 | Conference Paper |

Federated Ensemble Model-Based Reinforcement Learning in Edge Computing

Jin Wang;Jia Hu;Jed Mills;Geyong Min;Ming Xia;Nektarios Georgalas

IEEE Transactions on Parallel and Distributed Systems
Year: 2023 | Volume: 34, Issue: 6 | Journal Article |
Cited by: Papers (14)
Federated learning (FL) is a privacy-preserving distributed machine learning paradigm that enables collaborative training among geographically distributed and heterogeneous devices without gathering their data. Extending FL beyond the supervised learning models, federated reinforcement learning (FRL) was proposed to handle sequential decision-making problems in edge computing systems. However, the...Show More

Federated Ensemble Model-Based Reinforcement Learning in Edge Computing

Jin Wang;Jia Hu;Jed Mills;Geyong Min;Ming Xia;Nektarios Georgalas

Year: 2023 | Volume: 34, Issue: 6 | Journal Article |

Customer Classification Recommender to Support Personalised Service Level Agreements Across the Internet of Things

Cathryn Peoples;Adrian Moore;Nektarios Georgalas

2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
Year: 2022 | Conference Paper |
While the Internet of Things (IoT) continues to be deployed in exciting application domains, the limited ability of customers to engage with novel technologies restricts the extent to which they are utilized. One significant factor influencing a customer's ability, and possibly their subsequent desire, to engage is the technical ability required to access such services. In our prior work, we have ...Show More

Customer Classification Recommender to Support Personalised Service Level Agreements Across the Internet of Things

Cathryn Peoples;Adrian Moore;Nektarios Georgalas

Year: 2022 | Conference Paper |

Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning

Jin Wang;Jia Hu;Geyong Min;Wenhan Zhan;Albert Y. Zomaya;Nektarios Georgalas

IEEE Transactions on Computers
Year: 2022 | Volume: 71, Issue: 10 | Journal Article |
Cited by: Papers (113)
Edge computing is an emerging promising computing paradigm that brings computation and storage resources to the network edge, hence significantly reducing the service latency and network traffic. In edge computing, many applications are composed of dependent tasks where the outputs of some are the inputs of others. How to offload these tasks to the network edge is a vital and challenging problem w...Show More

Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning

Jin Wang;Jia Hu;Geyong Min;Wenhan Zhan;Albert Y. Zomaya;Nektarios Georgalas

Year: 2022 | Volume: 71, Issue: 10 | Journal Article |

Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning

Jin Wang;Jia Hu;Geyong Min;Albert Y. Zomaya;Nektarios Georgalas

IEEE Transactions on Parallel and Distributed Systems
Year: 2021 | Volume: 32, Issue: 1 | Journal Article |
Cited by: Papers (279)
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to reduce network traffic and service latency. A fundamental problem in MEC is how to efficiently offload heterogeneous tasks of mobile applications from user equipment (UE) to MEC hosts. Recently, many deep reinforcement learning (DRL)-based methods have been proposed to learn offloading policies through interactin...Show More

Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning

Jin Wang;Jia Hu;Geyong Min;Albert Y. Zomaya;Nektarios Georgalas

Year: 2021 | Volume: 32, Issue: 1 | Journal Article |

Performance Analysis of SDN and NFV enabled Mobile Cloud Computing

Joseph Billingsley;Wang Miao;Ke Li;Geyong Min;Nektarios Georgalas

GLOBECOM 2020 - 2020 IEEE Global Communications Conference
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Mobile Cloud Computing (MCC) is regarded as a promising method to increase the data storage and enhance the processing power of mobile devices. Technologies such as Software Defined Networking (SDN) and Network Function Virtualisation (NFV) will be deployed in MCC to simplify the network management and accelerate mobile service deployment. In order to achieve a deeper understanding of future MCC, ...Show More

Performance Analysis of SDN and NFV enabled Mobile Cloud Computing

Joseph Billingsley;Wang Miao;Ke Li;Geyong Min;Nektarios Georgalas

Year: 2020 | Conference Paper |

Routing-Led Placement of VNFs in Arbitrary Networks

Joseph Billingsley;Ke Li;Wang Miao;Geyong Min;Nektarios Georgalas

2020 IEEE Congress on Evolutionary Computation (CEC)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
The ever increasing demand for computing resources has led to the creation of hyperscale datacentres with tens of thousands of servers. As demand continues to rise, new technologies must be incorporated to ensure high quality services can be provided without the damaging environmental impact of high energy consumption. Virtualisation technology such as network function virtualisation (NFV) allows ...Show More

Routing-Led Placement of VNFs in Arbitrary Networks

Joseph Billingsley;Ke Li;Wang Miao;Geyong Min;Nektarios Georgalas

Year: 2020 | Conference Paper |

Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning

Jin Wang;Jia Hu;Geyong Min;Wenhan Zhan;Qiang Ni;Nektarios Georgalas

IEEE Communications Magazine
Year: 2019 | Volume: 57, Issue: 5 | Magazine Article |
Cited by: Papers (198)
MEC is an emerging paradigm that utilizes computing resources at the network edge to deploy heterogeneous applications and services. In the MEC system, mobile users and enterprises can offload computation-intensive tasks to nearby computing resources to reduce latency and save energy. When users make offloading decisions, the task dependency needs to be considered. Due to the NP-hardness of the of...Show More

Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning

Jin Wang;Jia Hu;Geyong Min;Wenhan Zhan;Qiang Ni;Nektarios Georgalas

Year: 2019 | Volume: 57, Issue: 5 | Magazine Article |

Federated Learning Based Proactive Content Caching in Edge Computing

Zhengxin Yu;Jia Hu;Geyong Min;Haochuan Lu;Zhiwei Zhao;Haozhe Wang;Nektarios Georgalas

2018 IEEE Global Communications Conference (GLOBECOM)
Year: 2018 | Conference Paper |
Cited by: Papers (106)
Content caching is a promising approach in edge computing to cope with the explosive growth of mobile data on 5G networks, where contents are typically placed on local caches for fast and repetitive data access. Due to the capacity limit of caches, it is essential to predict the popularity of files and cache those popular ones. However, the fluctuated popularity of files makes the prediction a hig...Show More

Federated Learning Based Proactive Content Caching in Edge Computing

Zhengxin Yu;Jia Hu;Geyong Min;Haochuan Lu;Zhiwei Zhao;Haozhe Wang;Nektarios Georgalas

Year: 2018 | Conference Paper |

Cost-Aware Optimisation of Cache Allocation for Information-Centric Networking

Haozhe Wang;Jia Hu;Geyong Min;Wang Miao;Nektarios Georgalas

GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Year: 2017 | Conference Paper |
Cited by: Papers (4)
Information-centric networking (ICN) is an emerging paradigm that decouples content from the host to achieve fast and cost-efficient communication and content distribution in the future Internet. A key feature of ICN is the deployment of ubiquitous in-network caching to speed up service delivery and improve network resource utilisation. ICN caching has been widely studied in terms of caching strat...Show More

Cost-Aware Optimisation of Cache Allocation for Information-Centric Networking

Haozhe Wang;Jia Hu;Geyong Min;Wang Miao;Nektarios Georgalas

Year: 2017 | Conference Paper |

Transport Northbound Interface: The need for Specification and Standards coordination

D. King;C. Rotsos;I. Busi;F. Zhang;N. Georgalas

2017 International Conference on Optical Network Design and Modeling (ONDM)
Year: 2017 | Conference Paper |
Cited by: Papers (1) | Patents (1)
Next generation optical transport networks have high benchmarks for flexibility, reliability, and operational simplicity. These requirements underline a common, technology-independent orchestration paradigm that can be extended to represent and configure specific optical technology attributes. Although, orchestration is an ongoing aspect of the current optical transport network evolution, the mean...Show More

Transport Northbound Interface: The need for Specification and Standards coordination

D. King;C. Rotsos;I. Busi;F. Zhang;N. Georgalas

Year: 2017 | Conference Paper |

The Software Defined Transport Network: Fundamentals, findings and futures

Daniel King;Charalampos Rotsos;Alejandro Aguado;Nektarios Georgalas;Victor Lopez

2016 18th International Conference on Transparent Optical Networks (ICTON)
Year: 2016 | Conference Paper |
Cited by: Papers (6)
The Software Defined Network (SDN) is an established network paradigm, architecture and principles, that attracted significant research effort in recent years. An SDN-enabled infrastructure decouples network control from forwarding and enables direct programming. Recently, there is an increasing effort to introduce SDN support in the transport layers of the network operators WAN infrastructure, li...Show More

The Software Defined Transport Network: Fundamentals, findings and futures

Daniel King;Charalampos Rotsos;Alejandro Aguado;Nektarios Georgalas;Victor Lopez

Year: 2016 | Conference Paper |

Performance Evaluation of Information-Centric Networking for Multimedia Services

Haozhe Wang;Geyong Min;Jia Hu;Wang Miao;Nektarios Georgalas

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
The rapid development in multimedia services has shifted the major function of the current Internet from host-centric communication to service-oriented content dissemination. Motivated by this significant change, Information-Centric Networking (ICN) has emerged as a new networking paradigm, which aims at providing natural support for efficient information retrieval over the Internet. As a crucial ...Show More

Performance Evaluation of Information-Centric Networking for Multimedia Services

Haozhe Wang;Geyong Min;Jia Hu;Wang Miao;Nektarios Georgalas

Year: 2016 | Conference Paper |

Treasure hunt pervasive games in cultural organisations

Daphne Economou;Vassiliki Bouki;Thanos Kounenis;Markos Mentzelopoulos;Nektarios Georgalas

2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)
Year: 2015 | Conference Paper |
Cited by: Papers (6)
this paper introduces an approach of connecting cultural organizations, such as Museums and archaeological sites and enhancing visiting experience in both sites with the use of a treasure hunt game. The paper shows how the treasure hunt game utilizes pervasive technology and connects remotely located groups of users (in a Museum and in an archaeological site) by involving them in a live collaborat...Show More

Treasure hunt pervasive games in cultural organisations

Daphne Economou;Vassiliki Bouki;Thanos Kounenis;Markos Mentzelopoulos;Nektarios Georgalas

Year: 2015 | Conference Paper |

Edu-simulation: A serious games platform designed to engage and motivate students

Daphne Economou;Ioannis Doumanis;Vassiliki Bouki;Frands Pedersen;Markos Mentzelopoulos;Nektarios Georgalas

2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
This paper introduces a serious games web platform designed to simulate a teaching environment where lecturers are able to replicate their teaching environment by creating courses, modules, adding content and managing students effectively. Using a variety of tools available, lecturers are able to create a range of game simulations for students and observe student behavior in a controlled environme...Show More

Edu-simulation: A serious games platform designed to engage and motivate students

Daphne Economou;Ioannis Doumanis;Vassiliki Bouki;Frands Pedersen;Markos Mentzelopoulos;Nektarios Georgalas

Year: 2015 | Conference Paper |

Using YANG for the dissemination of the Traffic Engineering Database within software defined Elastic Optical Networks

J.E. López de Vergara;V. López;J.P. Fernández-Palacios;D. King;Ó. González de Dios;N. Georgalas;A. Farrel;D. Michaud

2015 17th International Conference on Transparent Optical Networks (ICTON)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
This paper presents the challenges and purpose of building the Traffic Engineering Database (TED) to facilitate Software Defined control of an Elastic Optical Network (EON). It explains how a standardized protocol and data model can facilitate this and describes a YANG model that has been developed to represent the TED including the representation of nodes, transponders, links, and available media...Show More

Using YANG for the dissemination of the Traffic Engineering Database within software defined Elastic Optical Networks

J.E. López de Vergara;V. López;J.P. Fernández-Palacios;D. King;Ó. González de Dios;N. Georgalas;A. Farrel;D. Michaud

Year: 2015 | Conference Paper |

The role of SDN and NFV for flexible optical networks: Current status, challenges and opportunities

Daniel King;A. Farrel;Nektarios Georgalas

2015 17th International Conference on Transparent Optical Networks (ICTON)
Year: 2015 | Conference Paper |
Cited by: Papers (8)
Today's optical transport domains are typically built using fixed grid technology. They are statically configured and operationally intensive to manage, lacking the capability for dynamic services and elastic bandwidth. Recent research has established the benefits of flexible grid technologies for optical switching allowing dynamic and elastic management of the available bandwidth resources. Combi...Show More

The role of SDN and NFV for flexible optical networks: Current status, challenges and opportunities

Daniel King;A. Farrel;Nektarios Georgalas

Year: 2015 | Conference Paper |

OpenCache: A software-defined content caching platform

Matthew Broadbent;Daniel King;Sean Baildon;Nektarios Georgalas;Nicholas Race

Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft)
Year: 2015 | Conference Paper |
Cited by: Papers (8)
Network operators recognise that Content Delivery Networks are essential for meeting user Internet application and content demands. The infrastructure must be tightly integrated to provide request routing, content caching, load balancing, scalability and reliability, whilst minimising deployment time and complexity. A major step towards achieving these goals is to embrace recent Software Defined N...Show More

OpenCache: A software-defined content caching platform

Matthew Broadbent;Daniel King;Sean Baildon;Nektarios Georgalas;Nicholas Race

Year: 2015 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.