Senior Lecturer
- About
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- Email Address
- pradip.sharma@abdn.ac.uk
- Office Address
- School/Department
- School of Natural and Computing Sciences
Biography
Dr. Pradip Sharma, SMIEEE, SFHEA, is a globally recognised academic and researcher in Cybersecurity and Artificial Intelligence. As Associate Professor of Cybersecurity & AI at the University of Aberdeen, UK, he leads pioneering research and educates the next generation of cybersecurity professionals. Holding a PhD in Cybersecurity and an M.Tech in Computer Science, Dr. Sharma brings a unique blend of academic excellence and industry experience, having previously served as a Research Fellow and Software Engineer. A Senior Member of IEEE and Senior Fellow of Advance HE, Dr. Sharma is a thought leader in the global research community. Dr. Sharma serves as an editor for leading journals and is a regular keynote speaker and program chair at international conferences. His educational leadership includes spearheading innovative cybersecurity curricula and supervising a diverse cohort of doctoral researchers. With a portfolio exceeding £1M in funded research from EPSRC, Innovate UK, and international agencies, his work fosters interdisciplinary collaboration and drives impactful solutions to global security challenges.
External Memberships
Senior Fellowship Advance HE (SFHEA)
IEEE Senior Member (SMIEEE)
Latest Publications
SoK: Towards Privacy-Centric Collaborative Machine Learning—A Classification Framework for Privacy Solutions
SN Computer ScienceContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s42979-025-04482-4
An Unsupervised Malicious Web Request Detection based on Transformer and Contrastive Learning
IEEE Transactions on Network and Service Management, vol. 22, no. 4, pp. 3281-3294Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TNSM.2025.3563089
- [ONLINE] View publication in Scopus
GpDB: A Graph Partition Based Storage Strategy for DAG-Blockchain in Edge-Cloud IIoT
IEEE Transactions on Industrial Informatics, vol. 21, no. 8, pp. 5790-5798Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TII.2022.3162201
- [ONLINE] View publication in Scopus
Can Image Quality Assessment Help Medical Image Segmentation?
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsMinecrafter: A secure and decentralized consensus protocol for blockchain-enabled vaccine supply chain
Peer-to-Peer Networking and Applications, vol. 18, no. 4, 168Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s12083-025-01980-3
- [ONLINE] View publication in Scopus
- Research
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Research Overview
Research interests: Cybersecurity, Blockchain, Edge Computing, Software-defined Networking, IoT Security
Research Areas
Accepting PhDs
I am currently accepting PhDs in Computing Science.
Please get in touch if you would like to discuss your research ideas further.

Research Specialisms
- Computer and Information Security
- Computer Networks
- Machine Learning
- Applied Computing
- Cybernetics
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
Funding and Grants
2025-2026 “Oil & Gas Cyber Benchmarking,” Nuclear Decommissioning Authority, £26K (PI)
2025-2028 “Digital Guardian: AI-Powered Shield Against Highly Sophisticated AI based Phishing Attacks,” International Doctoral Training Scholarship, £37K (Co-I)
2024-2026 “Secure, Privacy-aware, and Trusted Data Share in Smart Mobility,” EPSRC ECR, £200K FEC (PI)
2024-2025 “ZECURE Data Exchange Platform - Net Zero Mobility,” Innovate UK, £236K (PI-UoA)
2023-2026 “Quantum-resistant Cybersecurity,” International Doctoral Training Scholarship, £73K (PI)
2022-2023 “Secure and Privacy-aware Data Share in Smart Mobility,” Pump-Prime Interdisciplinary Research and Impact, £2K (PI)
2022-2023 “Distributed Big-data Service Framework based on Blockchain and Machine Learning for Smart Cities,” 2022 High-end Foreign Expert in China, £20K (PI)
2020-2022 “Development of Simulator for Virtual Learning,” Agency for Defence Development, £270K (Co-I)
2016-2019 “Developing a Green Smart Home Security Framework for Next Generation IoT Environment,” National Research Foundation (NRF), £200K (Investigator)
2016-2019 “WellTEC Coaching Service and Content Development for Wellness Life,” Consortium Information Technology Research Center (C-ITRC), £16K (Investigator)
2016-2018 “Development of an immersive and interactive NUI/NUX Platform for Invoked Reality Contents,” Institute for Information and Communications Technology Promotion (IITP), £5K (Investigator)
- Teaching
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- Publications
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Page 1 of 12 Results 1 to 10 of 120
SoK: Towards Privacy-Centric Collaborative Machine Learning—A Classification Framework for Privacy Solutions
SN Computer ScienceContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s42979-025-04482-4
An Unsupervised Malicious Web Request Detection based on Transformer and Contrastive Learning
IEEE Transactions on Network and Service Management, vol. 22, no. 4, pp. 3281-3294Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TNSM.2025.3563089
- [ONLINE] View publication in Scopus
GpDB: A Graph Partition Based Storage Strategy for DAG-Blockchain in Edge-Cloud IIoT
IEEE Transactions on Industrial Informatics, vol. 21, no. 8, pp. 5790-5798Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TII.2022.3162201
- [ONLINE] View publication in Scopus
Can Image Quality Assessment Help Medical Image Segmentation?
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsMinecrafter: A secure and decentralized consensus protocol for blockchain-enabled vaccine supply chain
Peer-to-Peer Networking and Applications, vol. 18, no. 4, 168Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s12083-025-01980-3
- [ONLINE] View publication in Scopus
Label-free Medical Image Quality Evaluation by Semantics-aware Contrastive Learning in IoMT
IEEE journal of biomedical and health informatics, vol. 29, no. 4, pp. 2335-2344Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/JBHI.2023.3340201
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/44bef647-55d9-4576-9330-5f25b452ed91/download
- [ONLINE] View publication in Scopus
Uni-directional graph structure learning-based multivariate time series anomaly detection with dynamic prior knowledge
International Journal of Machine Learning and Cybernetics, vol. 16, no. 1, pp. 267-283Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s13042-024-02212-5
- [ONLINE] View publication in Scopus
Zero Trust Networks: Evolution and Application from Concept to Practice
Computers, Materials and Continua, vol. 82, no. 2, pp. 1593-1613Contributions to Journals: Review articles- [ONLINE] DOI: https://doi.org/10.32604/cmc.2025.059170
- [ONLINE] View publication in Scopus
A dual encoder crack segmentation network with Haar wavelet-based high–low frequency attention
Expert Systems with Applications, vol. 256, 124950Contributions to Journals: Articles- [ONLINE] https://github.com/zZhiG/DECS-Net
- [ONLINE] DOI: https://doi.org/10.1016/j.eswa.2024.124950
- [ONLINE] View publication in Scopus
Multivariate Time Series Anomaly Detection Based on Multiple Spatiotemporal Graph Convolution
IEEE Transactions on Instrumentation and Measurement, vol. 74, 3500714Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TIM.2024.3493890
- [ONLINE] View publication in Scopus