Michael Pucher

Michael Pucher is a dedicated researcher affiliated with the Faculty of Computer Science at Vienna University of Technology, where he contributes to the Research Group Security and Privacy. Currently serving as a Visiting Researcher (October 2023 to February 2024), his work bridges academic research and practical security challenges in computing systems.

He holds a Diplom-Ingenieur (Dipl.-Ing.) degree, equivalent to a Master of Science in Engineering, and a Bachelor of Science (BSc), reflecting a strong foundation in technical disciplines.

Dr. Pucher's research spans the critical domains of computer security and privacy, with a focus on reverse engineering, obfuscation techniques, binary analysis, and the application of machine learning to security problems. His investigations delve into integrated circuit analysis, software protection mechanisms, and the development of resilient methods for identifying semantic functionality in obfuscated programs.

Analysis of his 2022 publications reveals a cohesive research trajectory emphasizing innovative solutions for security challenges. Key themes include the integration of machine learning for clone detection in binaries, simulation-based approaches to counter obfuscation, and advanced image processing techniques for hardware reverse engineering, indicating a multidisciplinary approach that merges hardware and software security.

Active in the academic community, Dr. Pucher has contributed through teaching engagements, peer review for conferences such as the IEEE Workshop on Offensive Technologies, and presentations at international venues including the IEEE Physical Assurance and Inspection of Electronics (PAINE) workshop.