SHAR Lwin Khin

SHAR Lwin Khin is a Full-time Associate Professor at the School of Computing and Information Systems, Singapore Management University (SMU). Specializing in cybersecurity, software engineering, and digital transformation, their work bridges academic research with practical applications in secure software development.

Education:

• PhD in Computer Science, Nanyang Technological University (2014)

Research Interests: Focus on vulnerability detection in software systems, Android app security, and cybersecurity frameworks. Their recent work explores large language models (LLMs) for security applications, including code analysis, runtime anomaly detection, and energy-efficient AI for edge computing.

Article Trends: Their research spans 2025–2024, emphasizing LLM-driven vulnerability detection, Android security optimization, and drone cybersecurity. Keywords include software engineering, deep learning, and cyber-physical systems, with subfields like code debloating, XSS/SQL injection mitigation, and OSS security.