Phuc Hao Do

About

Dr. Phuc Hao Do is a Lecturer and Researcher in the Faculty of Information Technology at Danang Architecture University (DAU), Vietnam, and a Member of IEEE. He received his Ph.D. in Telecommunications Systems and Networks from the Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT), Russia.

His research is on AI-driven security for non-terrestrial networks: making intrusion and malware detection trustworthy when it is deployed on satellite and 6G NTN infrastructure, and preparing those systems for the migration to post-quantum cryptography. those systems for the migration to post-quantum cryptography. Three lines run through his work.

Machine learning for network and system security. IoT botnet and malware traffic detection, host-based intrusion detection from system-call sequences, phishing and ransomware classification, and federated learning for malware detection across distributed networks without centralising traffic.

Non-terrestrial and satellite networks. Traffic classification and prioritisation on satellite links, resource allocation for multi-beam satellites, and federated learning over LEO constellations, including the aggregation problems that arise when clients do not share a common parameterisation.

Quantum-safe systems. Organisational and protocol readiness for the migration away from classical public-key cryptography, and the practical limits of quantum algorithms for network problems.

He serves on the technical program committees of RIVF and CITA, and reviews for IEEE Internet of Things Journal, IEEE Transactions on Learning Technologies, Neurocomputing, Engineering Applications of Artificial Intelligence, Journal of the Franklin Institute, and Transactions on Emerging Telecommunications Technologies.

Contact: [email protected]

Employment

• Sankt-Peterburgskij gosudarstvennyj universitet telekommunikacij imeni professora M A Bonc-Bruevica Phd Student
  2022 - 2025
• Da Nang Architecture University PhD - Senior Lecturer
  2017 - Present

Education

• Danang University of Science and Technology Faculty of Electrical Engineering Master
  2015 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (40)

• PBSNet: Parallel branch spatial network for precise brain tumor classification in MRI slices
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2025.108993
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• Architectural ablation and statistical quality control for deep stellar spectral classification on SDSS DR19
  2026 DOI: 10.2139/ssrn.6845705
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• Robust Quishing Detection on Low-Resolution QR Codes via Feature Learning and Residual CNNs
  2026 DOI: 10.1007/978-3-032-18316-3_18
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• Synergies of AI and Quantum Technologies in Next-Generation Non-Terrestrial Networks: A Comprehensive Survey
  Journal of Communications and Information Networks 2026 DOI: 10.23919/jcin.2026.11604009
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• PFR-ViT: A Polynomial Feature Representation-Enhanced Vision Transformer for Medical Data Classification
  2025 DOI: 10.36227/techrxiv.174181789.94015088/v1
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• Optimizing Resource Allocation for Multi-beam Satellites Using Genetic Algorithm Variations
  2025 DOI: 10.1007/978-3-031-80853-1_2
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• Comparative Performance of Deep Learning Models in Detecting Invasive Ductal Carcinoma
  2025 DOI: 10.1007/978-981-96-5693-6_39
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• Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3528940
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• Challenges in Applying Variational Quantum Algorithms to Dynamic Satellite Network Routing
  2025 DOI: 10.48550/ARXIV.2508.04288
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• Are Enterprises Ready for Quantum-Safe Cybersecurity?
  2025 DOI: 10.48550/ARXIV.2509.01731
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