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Samuel  Mulder image

Samuel Mulder

Computer Science and Software Engineering
Associate Research Professor
3139E Shelby Center
334.844.6321
szm0211@auburn.edu
Google Scholar
Website

Faculty and staff can submit directory updates here.

Education

Ph.D. Computer Science, Missouri S&T
M.S. Computer Science, Missouri S&T
B.S. Computer Science, Texas Tech University

Research Interests

Cyber Security
Program Analysis
Reverse Engineering
Adversarial Analysis
Machine Learning

In The News

Auburn University Ethical Hacking Club notches first Top 10 at prestigious CyberForce competition

AUEHC teams placed eighth, 24th and 25th out of 100 teams in national cybersecurity competition Nov. 14-15 in Chicago.

Researchers in computer science and software engineering lead national lab project to advance strategic computing for national security

The research of Daniel Tauritz and Samuel Mulder spans the automation of binary software analysis, the simulation of adversarial strategies and the automated design of custom algorithms for complex national security problems.