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Shagufta Henna

Lecturer, Department of Computing · Atlantic Technological University, Letterkenny, Co. Donegal, Ireland

https://researchid.co/shaguftahenna
@atu.ie
67Scopus Publications

Research Interests

Deep Learning, Federated Learning, Explainable AI, Future Generation Networks, Edge Intelligence, Cybersecurity

Biography

Shagufta Henna is Lecturer with the Department of Computing, Atlantic Technological University, Donegal, Ireland. She was a research fellow with the CONNECT, the Science Foundation Ireland Research Centre, 2019. She received her doctoral degree in Computer Science from the University of Leicester, UK, in 2013. She was an assistant professor from 2013 to 2018, Bahria University, Islamabad. She has published several scientific papers in leading journals/transactions and conferences. She has been involved in several EU and national research projects including H2020, Science Foundation of Ireland, and Enterprise of Ireland. She is a senior member of the IEEE, and is serving the editorial boards of IEEE Access, EURASIP Journal on Wireless Communications and Networking, IEEE Future Directions, and Springer Human-centric Computing and Information Sciences. She is currently supervising several PhD/Masters research students in wireless communication, deep learning, and big data analytics. She h

Education

PhD, Computer Science, University of Leicester, UK

Recent Scopus Publications

  1. Accelerating graph-based deep learning for self-calibration in large-scale uncontrolled wireless sensor networks for environmental monitoring
    Array, 2026
  2. Spatiotemporal score-based federated generative learning for multi-source remote sensing time series in environmental monitoring
    ISPRS Journal of Photogrammetry and Remote Sensing, 2026
  3. EnCo SupCon: Entropy-driven supervised contrastive learning for discriminative feature representations from remote sensing imagery
    Results in Engineering, 2026
  4. Hypergraph Representation Learning-Based xApp for Traffic Steering in 6G O-RAN Closed-Loop Control
    IEEE Transactions on Network and Service Management, 2026
  5. Explainable AI-driven conditional generative model for decision support and transparency in smart farming
    Journal of Decision Systems, 2026

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