Hamza Ibrahim
Portrait of Hamza Ibrahim

Hamza Ibrahim

Ph.D. Student, IT Convergence Engineering

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I build verifiable security systems for the industrial edge, combining lightweight blockchain verification, edge AI, and resilient intrusion detection for IIoT and cyber-physical systems.

Gumi, Gyeongbuk, South Korea
Core SystemReal-Time Systems / Blockchain Systems / Intelligent Systems
MethodsEdge AI / FL / ML / AI
DomainsIIoT / SCADA / EV
23
Publications
94
Citations
5
i10-index
10
Journal Articles
12
Conference Papers
1
Book Chapter

Research

Focus Areas

My work combines edge intelligence, lightweight consensus, and cyber-physical security for industrial environments where trust, latency, and resilience matter.

Real-Time Systems

Low-latency detection, response, and recovery for cyber-physical environments where security decisions must happen during operation.

Blockchain Systems

Lightweight verification, trust scoring, and consensus mechanisms for secure industrial and distributed systems.

Intelligent Systems

Adaptive security architectures that combine sensing, decision support, and automated recovery in connected environments.

Industrial IoT Security

Intrusion detection and prevention for industrial networks where latency, safety, and resource limits make conventional defenses difficult to deploy.

ML / AI

Machine learning and AI methods for cyber threat detection, federated learning, and resilient industrial network protection.

Publications

Publications

Browse the complete publication list by type, title, author, venue, or year.

Awards

Awards and Honors

Recognitions, fellowships, prizes, and selected honors connected to research, leadership, and academic work.

1st Best Paper Award

NLS Winter Intensive

Recognized for the top paper at the NLS Winter Intensive.

Outstanding Paper Publication

BK21 FOUR MERIT Convergence Innovation Talents Training Group

Awarded for the SCI(E) article "Bibliometric Analysis of Secure IoT for Quantum Computing" in Internet of Things.

Outstanding Paper Publication

BK21 FOUR MERIT Convergence Innovation Talents Training Group

Awarded for the SCI(E) article "A Unified AI-PureChain Framework for Verifiable Intrusion Prevention in Industrial IoT Systems" in IEEE Internet of Things Journal.

Outstanding Paper Publication

BK21 FOUR MERIT Convergence Innovation Talents Training Group

Awarded for the SCI(E) article "PureChain Closed-Loop Intrusion Detection and Real-Time Recovery for Industrial IoT" in IEEE Internet of Things Journal.

Build Trustworthy Systems

Let's advance secure systems that earn trust.

I welcome conversations about research collaborations, invited talks, interdisciplinary projects, and applied industrial security work.

hamza@kumoh.ac.kr
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