Eunsuk Kang

Papers

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About

Eunsuk Kang is a leading researcher in software engineering, with a focus on self-adaptive systems, formal methods, and software safety certification. His work addresses critical challenges in building reliable, user-centric software for domains like autonomous vehicles and medical devices. Kang’s major contributions include pioneering the concept of "preference adaptation," which revolutionizes decision-making in self-adaptive systems by dynamically aligning system behavior with evolving user preferences—a breakthrough that has garnered 11 citations since 2023. He also developed rigorous frameworks for synthesizing assurance cases, enabling more robust certification processes for safety-critical software (10 citations). His research on system tolerance to transition perturbations further advances the formal verification of discrete systems, ensuring resilience against unexpected changes. Kang’s work has been published in top venues like ICSE and ASE, and his innovative approaches are shaping how engineers design adaptive, trustworthy software. With over 25 total citations and growing influence, Kang is a rising star whose insights are vital for students and researchers tackling the complexities of modern software systems.