Staff Profile
Dr Gayathri Karthick
Lecturer
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I am Dr. Gayathri Karthick, a Lecturer, Postgraduate Research Supervisor (PGR), and Module Director from the School of Science and Health at York St John University, London. I am also an Employability and Maker's Space member, which assists students in securing internships and creative learning during their master's degree. I have 10+ years of experience in both organizational and academic settings. After completing my bachelor's degree, I gained four years of experience as a senior software engineer at Infosys, a major software firm in India. During my tenure there, I worked in Data Warehouse Automation Testing, which provided me with invaluable insights into industry practices. This experience allowed me to explore data analytics and develop a deep understanding of it in that domain. I also had the opportunity to train newcomers before the start of projects, marking the beginning of my journey in teaching with technology. I pursued my MSc and MPhil leading to a PhD in Computer Science from Middlesex University, London.
- School – London
- Email – g.karthick@yorksj.ac.uk
- Research - View my work in RaY
Teaching
As part of my role, I deliver various modules, including Computer Science modules like User Centric Design (UCD) and AI and Data Science modules like Big Data in Cloud Computing. Before joining YSJ, I worked in esteemed academic institutions such as Middlesex University, Arden University, and St Patrick’s College, London.
Research
Throughout my career, I have significantly contributed to scholarly discourse through impactful research publications in conferences, articles, and reputable journals. My research interests include Secure Cloud Environments, Data Analytics, Machine Learning, and Intelligent Media Edge Computing. My work has been published in high-profile international publications, including Springer Journals, the Journal of Reliable Intelligent Environments, the International Journal of Machine Learning and Cybernetics, the International Conference of ICC/IEEE/ACM, and Computational Intelligence. These publications highlight my commitment to advancing knowledge and my ability to address complex challenges with innovative solutions. Additionally, I am actively involved in funded projects such as QR and SAAR.
Publications and conferences
Publications (Journal Papers and Conferences)
1. Formalization and analysis of a Resource Allocation Security Protocol for Secure Service Migration Gayathri Karthick. 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion), Switzerland, 207-212, 2018.
2. Exploring a Security Protocol for Secure Service Migration in Commercial Cloud Environments. In Proceedings of International Conference on Internet of Things, Data and Cloud Computing, Cambridge, United Kingdom, March 2017 (ICC’17), seven pages.
3. Exploring Secure Service Migration in Commercial Cloud Environments, Automated Reasoning Workshop 2019, 2nd - 3rd September
4. A New Service Management Framework for vehicular networks, 23rd Conference on Innovation in Clouds, Internet and Networks (ICIN 2020), February 24-27, 2020, Paris, France
5. Computationally efficient and secure anonymous authentication scheme for IoT‐based mobile pay-tv systems, Feb 21, 2020, publication description Wiley Online Library, International Journal of Computational Intelligence
6. Exploring the Provision of Reliable Network Storage in Highly Mobile Environments, the 13th International Conference on Communications, June 18-20, 2020, and Bucharest, Romania
7. Gayathri Karthick, Mapp, G., Kammueller, F. and Aiash, M., 2021. Modelling and verifying a resource allocation algorithm for secure service migration for commercial cloud systems. Computational Intelligence
8. Gayathri K, Nattaruedee V, Glenford Mapp, Florian K, and Mahdi A, Securing Cloud Server Environments in a post-COVID-19 world: Challenges and Possible Solutions, 25th Conference on Innovation in Clouds, Internet, and Networks (ICIN), March 07-10, 2022, Paris, France
9. Computationally efficient and secure anonymous authentication scheme for IoT‐based mobile pay-tv systems computationally efficient and secure anonymous authentication scheme for IoT‐based mobile pay‐ TV systems Wiley Online Library, International Journal of Computational Intelligence. · Feb 21, 2020
10. Sentiment analysis on Twitter data by using convolutional neural network (CNN) and long short-term memory (LSTM), Springer US: Wireless Personal Communications,5/17/2021, https://link.springer.com/article/10.1007/s11277-021-08580-3.
11. Ganesan, Swathi, Somasiri, Nalinda, Jeyavadhanam, Rebecca and Karthick, Gayathri (2023), Improved Computational Efficiency of Machine Learning Algorithm Based on Evaluation Metrics to Control the Spread of Coronavirus in the UK, World Academy of Science, Engineering and Technology International Journal of Computer and Systems Engineering Vol:17, No:02, 2023, ISNI:000000009195026.
12. Improved Intelligent Malware Detection Model in Cloud Environment, Gayathri Karthick, Rebecca Jeyavadhanam B, Ramalingam V V, Soonleh Ling, World S4 Conference on Smart Trend in Systems, Security and Sustainability, April 2023
13. Building an Intelligent Edge Environment to Provide Essential Services for Smart Cities, MobiArch 2023, MobiCom 2023, Spain. Gayathri Karthick, Glenford Mapp, Jon Crowcroft. The 29th Annual International Conference on Mobile Computing and Networking (sigmobile.org), ACM SEC 2023 - Trustworthy Edge Computing Workshop
14. Immersive Learning using Metaverse: Transforming the Education Industry through Extended Reality, Gayathri Karthick1, Rebecca Jeyavadhanam B2, Soonleh Ling3, Anum Kiyani4, and Nalinda Somasiri5, SPRINGER ICMETE 2023, India.
15. Gayathri Karthick, Glenford Mapp, and Jon Crowcroft. 2023. Building an Intelligent Edge Environment to Provide Essential Services for Smart Cities. In Proceedings of the 18th Workshop on Mobility in the Evolving Internet Architecture (MobiArch '23). Association for Computing Machinery, Madrid, Spain, 13–18. https://doi.org/10.1145/3615587.3615987
