Mr. Md Raihan Subhan | Artificial Intelligence | Best Researcher Award
PhD at Kumoh National Institute of Technology | South Korea
Md Raihan Subhan is a dedicated researcher in IT Convergence with a strong focus on intrusion detection systems, anomaly detection, AI-driven security, and meta-governance security. His research integrates reinforcement learning, deep learning, blockchain, and natural language processing to address complex cybersecurity challenges. His recent work emphasizes the convergence of blockchain technology with marine tactical systems to design advanced intrusion detection systems. He has also contributed to projects in digital twin-based warehouse logistics for military applications and anomaly detection in manufacturing systems. His publications in leading journals and conferences demonstrate his ability to advance intelligent systems and cybersecurity using innovative approaches.
Publication Profile
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Educational Background
He holds a Master of Engineering in IT Convergence from Kumoh National Institute of Technology, where he specialized in anomaly detection and intrusion detection, achieving an outstanding academic record. His master’s thesis explored blockchain-aided intrusion detection in marine tactical networks using reinforcement learning. Currently, he is pursuing a Ph.D. in IT Convergence Engineering with the same specialization, further strengthening his expertise in intelligent cybersecurity solutions. He also holds a Bachelor’s degree in Computer Science and Engineering from the International University of Business Agriculture and Technology, where he gained foundational knowledge in software engineering, networks, operating systems, and data management.
Professional Experience
Raihan has experience as a Research Assistant in prominent IT convergence laboratories, where he worked on distributed systems, federated learning, and machine learning applications for cybersecurity. His research activities include developing anomaly detection models, implementing them on real-time edge devices, and integrating blockchain and reinforcement learning techniques for system optimization and security. Prior to his research career, he served as an Academic Counselor in Computer Science, supporting students with academic guidance, research assistance, and career mentoring. This role enhanced his communication and teaching skills while contributing to curriculum development and interdisciplinary research.
Research Interests
His research interests include intrusion detection systems, anomaly detection, federated learning, blockchain integration, reinforcement learning, AI-driven security, and cybersecurity in industrial and military applications. He is particularly interested in distributed and continual learning approaches for intelligent systems and the application of digital twin technologies in logistics and defense systems.
Awards and Honors
He has contributed to government-funded research projects in South Korea, including AI implementation on custom edge devices, digital twin solutions for military logistics, and AI-driven optimization in manufacturing execution systems. His work has been recognized through publications in high-impact journals such as IEEE Transactions on Network and Service Management and collaborations with international researchers in advanced IT security and intelligent systems.
Research Skills
Raihan is proficient in multiple programming languages, including C, C++, Python, R, Java, and Solidity, and has strong experience with simulation and development tools such as MATLAB, TensorFlow, PyTorch, and Remix IDE. He has hands-on experience implementing blockchain consensus algorithms, deploying deep learning models on platforms such as Jetson Nano and Raspberry Pi, and designing AI-based anomaly detection systems. His expertise spans distributed computing, federated learning, digital twins, and AI integration in real-world industrial and defense applications.
Publications
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Meta-governance: Blockchain-driven metaverse platform for mitigating misbehavior using smart contract and AI
Cited by: 17
Year: 2024
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Comparative study of cryptocurrency wallet security: A hybrid, hot, and cold wallet approach
Cited by: 3
Year: 2023
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A Blockchain-Based System for Efficient, Traceable, and Transparent Maritime Logistics
Cited by: 2
Year: 2024
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Federated semi-supervised digital twin for enhanced human-machine interaction in Industry 5.0
Cited by: 1
Year: 2024
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Elevating transparency in global maritime logistics through blockchain technology
Cited by: 1
Year: 2024
Conclusion
Through his academic achievements, research experience, and innovative contributions, Md Raihan Subhan has established himself as a promising researcher in the field of IT convergence and cybersecurity. His ability to merge advanced technologies such as blockchain, AI, and reinforcement learning to solve real-world security challenges highlights his potential to significantly advance the future of intelligent systems and secure digital infrastructures.