معرفی
Samuel Mulder is an Associate Research Professor in the Department of Computer Science and Software Engineering at Auburn University. He holds a Ph.D. in Computer Science from Missouri S&T, along with an M.S. and B.S. in Computer Science from Missouri S&T and Texas Tech University, respectively. His research focuses on cybersecurity, program analysis, reverse engineering, adversarial analysis, and machine learning applications. He is affiliated with the Center for Artificial Intelligence and Cybersecurity Engineering within the College of Engineering.
His research interests include developing immersive virtual reality techniques for binary reverse engineering, modeling adversarial competition in satellite communication systems (P-LEO constellations), and enhancing cybersecurity through dynamic defense mechanisms like moving target defense. He has contributed to frameworks for tracking cyber adversaries using adaptive indicators of compromise and improving solver algorithms for constraint satisfaction problems.
Mulder's work spans both theoretical advancements (e.g., neuromorphic computing surveys) and applied solutions (e.g., supply chain binary program assessments). His recent efforts emphasize gamification of competitive cybersecurity scenarios and embodied cognition approaches to software analysis. While no scientific awards are explicitly listed, his contributions reflect impactful work in cybersecurity innovation.
He collaborates with Auburn's engineering research centers, particularly in AI-driven cybersecurity solutions. His advising and grant activities are not detailed in the provided text, but his research aligns with Auburn's focus on interdisciplinary engineering challenges.
