Mark S Stamp

Mark S. Stamp is a Professor of Computer Science at San Jose State University. His research focuses on computer security and malware analysis, with recent work emphasizing malware classification through image transformation techniques, including QR and Aztec codes, and hybrid models such as Hidden Markov Models combined with Convolutional Neural Networks. His latest investigations address online clustering of known and emerging malware families, detecting concept drift via rule-based classifiers, and exploring steganographic capacity in transformer models, as well as distinguishing chatbot from human interactions. His contributions to these evolving security challenges solidify his standing as a leading researcher in the field.