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Vasilis Kemerlis is an Associate Professor of Computer Science at Brown University, specializing in systems software security. His research focuses on operating system kernel protection, automated software hardening, fuzz testing, and hardware-assisted security. His innovative defensive techniques have been adopted by major industry players including Intel, Microsoft, and Apple, as well as various open-source projects. Kemerlis's work in kernel exploitation defense has garnered significant attention, highlighted by features in 'login:', the USENIX technical journal, and multiple presentations at Black Hat conferences. He has received various accolades, including recognition as a distinguished reviewer and multiple awards at the annual ACM Conference Computer Communications Security. Notably, his research in fuzz testing on machine learning and deep learning frameworks has aided developers in identifying security vulnerabilities. Kemerlis's academic qualifications include a PhD from Columbia University in 2015, and he has held positions that involved significant contributions to operating system development, specifically concerning address space layout randomization. Throughout his career, he has accumulated a number of prestigious awards for his research capabilities and his commitment to cybersecurity education.
Department: Department of Economics