Christos Chrysoulas

christos chrysoulas

Dr Christos Chrysoulas

  

Biography

Dr. Christos Chrysoulas received his Diploma and his Phd in Electrical Engineering from the University of Patras in 2003 and 2009 respectively. During his Phd (2004-2009) and PostDoc studies (2010-2015) his research was focused on Smart Grids, IoT, Industrial Automation, Machine Learning, Big Data, E-Learning systems, Computer Networks, High Performance Communication Subsystems Architecture and Implementation, Wireless Networks, Service Oriented Architectures (SOA), Resource Management and Dynamic Service Deployment in New Generation Networks and Communication Networks, Grid Architectures, Semantics, and Semantic Grid. He joined CISTER Research Center, Porto, as an invited Researched in 2013. He joined University of Porto as Post-Doc Research fellow in 2014 and from July 2015 he was with the University of Essex, holding a Senior Officer Researcher position. From September 2017 till January 2020, he was holding a Lecturer’s position in Software Engineering in the London South Bank University, UK. Currently is holding a Lecturer’s position in Software Engineering in the Edinburgh Napier University, Scotland, UK.
The outcome of this effort was properly announced in more than 40 technical papers in these areas. Dr. Christos Chrysoulas also participated as Senior Research/Engineer in both European and National Research Projects.

Esteem

Editorial Activity

  • Associate Editor - International Journal of Computer Information Systems and Industrial Management Applications

 

Invited Speaker

  • International Conference on Industrial Internet of Things and Smart Manufacturing IoTSM 2018
  • University of Porto, Porto, Portugal

 

Reviewing

  • IEEE Access
  • Symmetry - MDPI
  • Electronics - MDPI
  • Education - MDPI
  • Sensors - MDPI
  • Sustainability - MDPI
  • Energies - MDPI
  • Microprocessors and Microsystems: Embedded Hardware Design (MICPRO) - Elsevier

 

Date


43 results

Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure

Presentation / Conference
Young, E. H., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., & Buchanan, W. J. (2021, October)
Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure. Paper presented at International Conference on Data Analytics for Business and Industry (ICDABI) 2021 - (DATA'21), Online
Little or no research has been directed to analysis and researching forensic analysis of the Bitcoin mixing or 'tumbling' service themselves. This work is intended to examine ...

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS

Conference Proceeding
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., …Tsolis, D. (2021)
GLASS: Towards Secure and Decentralized eGovernance Services using IPFS
The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broa...

Towards An SDN Assisted IDS

Conference Proceeding
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C., & Dagiuklas, T. (2021)
Towards An SDN Assisted IDS. In 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS)https://doi.org/10.1109/NTMS49979.2021.9432651
Modern Intrusion Detection Systems are able to identify and check all traffic crossing the network segments that they are only set to monitor. Traditional network infrastructu...

Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT

Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021)
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. https://doi.org/10.3390/jcp1020014
As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven In...

Programming Languages: A Usage-based Statistical Analysis and Visualization

Conference Proceeding
Orlowska, A., Chrysoulas, C., Jaroucheh, Z., & Liu, X. (2021)
Programming Languages: A Usage-based Statistical Analysis and Visualization. In ICISS 2021: 2021 The 4th International Conference on Information Science and Systems (143-148). https://doi.org/10.1145/3459955.3460614
Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supporte...

A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda

Journal Article
Muller, L., Chrysoulas, C., Pitropakis, N., & Barclay, P. J. (2020)
A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda. Big Data and Cognitive Computing, 4(4), https://doi.org/10.3390/bdcc4040038
The shift towards microservisation which can be observed in recent developments of the cloud landscape for applications has led towards the emergence of the Function as a Serv...

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

Journal Article
Buchanan, W. J., Imran, M. A., Ur-Rehman, M., Zhang, L., Abbasi, Q. H., Chrysoulas, C., …Papadopoulos, P. (2020)
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing. Frontiers in Communications and Networks, https://doi.org/10.3389/frcmn.2020.583376
The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and tr...

Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)

Journal Article
El Boudani, B., Kanaris, L., Kokkinis, A., Kyriacou, M., Chrysoulas, C., Stavrou, S., & Dagiuklas, T. (2020)
Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture). Sensors, 20(19), https://doi.org/10.3390/s20195495
In the near future, the fifth-generation wireless technology is expected to be rolled out, offering low latency, high bandwidth and multiple antennas deployed in a single acce...

Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM)

Conference Proceeding
Seuwou, P., Chrysoulas, C., Banissi, E., & Ubakanma, G. (2020)
Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). In Trends and Innovations in Information Systems and Technologies: Volume 1. , (507-516). https://doi.org/10.1007/978-3-030-45688-7_51
The work presented in the paper aims at exploring information technology acceptance in the context of Autonomous Vehicles (AV) with the objectives of identifying and testing t...

Multi-label Classifier to Deal with Misclassification in Non-functional Requirements

Conference Proceeding
Sabir, M., Chrysoulas, C., & Banissi, E. (2020)
Multi-label Classifier to Deal with Misclassification in Non-functional Requirements. In Trends and Innovations in Information Systems and Technologies: Volume 1. , (486-493). https://doi.org/10.1007/978-3-030-45688-7_49
Automatic classification of software requirements is an active research area; it can alleviate the tedious task of manual labeling and improves transparency in the requirement...

Current Post Grad projects

Non-Napier PhD or MSc by Research supervisions

  • Measuring Behavioural Intention to Accept Autonomous Vehicles: A Structural Equation Model