S M Asiful Huda

img_1_1794511029650.jpg

MSCA Doctoral Network TUAI, DC9

University of Naples Federico II

Naples, Italy

👋 Hi, I am a PhD student at the University of Naples Federico II (UNINA), Italy, as part of the Marie Skłodowska-Curie Doctoral Network TUAI (Towards an Understanding of Artificial Intelligence). My doctoral project, DC9: Decentralised Graph Neural Networks: Adaptation, Training and Interpretability in Federated Environments, is supervised by Prof. Francesco Piccialli (UNINA), with co-supervisors Prof. David Camacho (UPM), Prof. Shen Yin (NTNU), and Prof. Dariusz Mrozek (SUT).

My research focuses on developing trustworthy AI systems that can learn, adapt, and unlearn efficiently while remaining robust and reliable. I am particularly interested in addressing these challenges in decentralised and graph-based settings, where data is distributed across different organisations and interconnected as graphs. My work explores collaborative learning and unlearning while considering privacy, transparency, and model reliability.

🔬 My research interests include:

  • Federated and Decentralised Learning — collaborative learning across distributed and heterogeneous data sources.
  • Graph Neural Networks — learning and interpreting graph-structured data in decentralised environments.
  • Machine Unlearning and Trustworthy AI — efficient and verifiable data removal, explainability, robustness, and privacy-preserving learning.
  • AI for Science (AI4Science) — exploring how AI can support scientific discovery and address challenges across different disciplines.
  • Applications in healthcare, smart grids, communication networks, and edge computing.

Before starting my PhD, I worked as a Research Associate at the Gwangju Institute of Science and Technology (GIST), South Korea, on machine learning applications in wireless power transfer and electricity price forecasting. I also worked as a Researcher at HT Core Co., Ltd., developing an XR-based training platform for clinical practice.

I received my M.E. in Computer Engineering from Chosun University, South Korea, in 2023, where I worked on reinforcement learning-based computation offloading for UAV-aided edge computing under the supervision of Prof. Sangman Moh. I received my B.Sc. in Computer Science from East West University, Bangladesh.

🤝 I am open to research discussions and collaborations. Feel free to reach out for a chat!

news

Oct 12, 2026 Built Paper Feed to keep up with federated learning research: new papers from arXiv, Nature and IEEE journals, and top AI conferences, updated daily in one place.
Jul 20, 2026 Attended the TUAI Summer School on Sensor Fusion at the Silesian University of Technology, Gliwice, Poland.
Jul 01, 2026 Started my MSCA secondment at the Silesian University of Technology (SUT), Gliwice, Poland (July to October 2026).
Jun 09, 2026 Attended FLICS 2026, the International Conference on Federated Learning and Intelligent Computing Systems, in Valencia, Spain.
May 28, 2026 Attended MLISE 2026, the 6th International Conference on Machine Learning and Intelligent Systems Engineering, in Naples, Italy.

selected publications

  1. FGCS
    Graph-based federated learning for smart healthcare: A comprehensive survey
    S. M. Asiful Huda, M. Canzaniello, D. Annunziata, and 1 more author
    Future Generation Computer Systems, 2026
  2. IEEE Access
    Deep Reinforcement Learning-Based Computation Offloading in UAV Swarm-Enabled Edge Computing for Surveillance Applications
    S. M. Asiful Huda and Sangman Moh
    IEEE Access, 2023
  3. JNCA
    Survey on Computation Offloading in UAV-Enabled Mobile Edge Computing
    S. M. Asiful Huda and Sangman Moh
    Journal of Network and Computer Applications, 2022