Title: Research Scientist
Institution: Norfolk State University
Node affiliation: Coastal Virginia
Moeti currently focused on researching the effects of the Human-In-The-Loop in cyber security. This involves quantifying human insight levels and building predictive machine learning models for the effects of cyber security applications on humans and vice-versa. In cyber security providing protection against or detecting advanced persistent threats (APT) involves the obvious technical aspect. However, humans are highly involved on both sides of the APT divide. Humans are building malicious AI models and they are also building benevolent ones while also making decisions when reviewing the results of these models. His research seeks to strengthen the partnership between humans and machines to build stronger cyber security AI models through the modelling of the Human-In-The-Loop in cyber security. Using machine learning, Moeti is answering questions involving how system and environment variables impact decisions that humans make in a cyber security context with the intention of predicting the effectiveness of cyber security techniques under given conditions.
Moeti Masine received his BS in Applied Computer Science from the University of the District of Columbia in 2005, his MS in Computer Science from Norfolk State University in 2010, and his Ph.D. in Computer Science from Virginia Tech in 2020. He previously worked at Google, Adobe Systems, and the US Army Research Lab. His research focus is on in-person and crowd studies and perception modelling using machine learning. He is currently working as a research scientist at Norfolk State University.
Ph.D., 2020, Computer Science, Virginia Tech
MS, 2010, Computer Science, Norfolk State University
BS, 2005, Applied Computer Science, University of the District of Columbia