Dr. Charnon is a dedicated academic researcher with a deep interest in all facets of software engineering. His areas of expertise include information security, personal data protection, and identity and access management. He is also an active member of communities that leverage formal methods such as formal specification, formal verification, model checking, and static program analysis.

In addition to his foundational knowledge, Dr. Charnon is passionate about emerging technologies, including blockchain, Bitcoin, decentralized and self-sovereign identity, consensus mechanisms, and other decentralized technologies.

• Ph.D., Information Science, Japan Advanced Institute of Science and Technology (JAIST), Japan
• M.S., Software Engineering, Chulalongkorn University, Thailand
• B.Eng., Computer Engineering, Chulalongkorn University, Thailand

• Software Engineering (Requirement Engineering, Software Design and Development, Formal Methods)
• Information Security and Privacy (Cybersecurity, Security Analysis, Authentication and Access Control, Identity and Access Management)
• Decentralized Network and Technology (Blockchain, Bitcoin, Decentralized Applications)
• Natural Language Processing (Information Retrieval, Recommender Systems, Text Classification)

1. C. Pattiyanon and T. Aoki, "Compliance SSI System Property Set to Laws, Regulations, and Technical Standards," IEEE Access, vol. 10, pp. 99370–99393, 2022.
2. C. Pattiyanon and T. Aoki, "Analysis and Enhancement of Self-Sovereign Identity System Properties Compiling Standards and Regulations," in Proc. ICISSP, 2022, pp. 133–144.
3. C. Pattiyanon, T. Aoki, and D. Ishii, "A Method for Detecting Common Weaknesses in Self-Sovereign Identity Systems Using Domain-Specific Models and Knowledge Graph," in Proc. MODELSWARD, 2022, pp. 291–296.
4. C. Pattiyanon and T. Senivongse, "Quality Model for Assessing Object-Oriented Design Patterns Under Development," in Proc. SNPD, 2017, pp. 377–383.
5. P. Rerkjirattikal, R. Singhaphandu, C. Pattiyanon, and S. Nam, "A Human-Centric Decision Support Framework for Satisfaction Enhancement in Medical Staff Scheduling," in Proc. AWIST 2025, Ishikawa, Japan, Nov. 2025.