Machine Learning

Xuan Wang received a five-year, $640,000 Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF) to ask: What if a robot could learn from another robot's experience?

A George Mason professor is using machine learning to improve the yield of almond trees, a major crop around the world.

A study published in the prestigious Proceedings of the National Academy of Sciences validates a decades-old hypothesis by Nobel laureate Francis Crick, with key computational work performed by researchers at George Mason University.

Jianli Pan is working at the leading edge of emerging technologies, analyzing cybersecurity metadata traffic; improving automated and intelligent security for internet of things edge systems; and using deep reinforcement learning techniques for cloud resource allocation for future IoT applications.

Betancourt is an expert in statistical and computational methods for data integration and network analysis, while Bai is an expert in large-scale, high-dimensional data and deep learning.

By developing a new machine learning algorithm to apply variational inference to spatial statistics, Jin Hyung Lee has significantly improved high-dimensional data analysis efficiency and accuracy. The PhD candidate in the Department of Statistics received the 2024 Korean International Statistical Society Outstanding Student Paper Award for his work.

Assistant Professor Zhuangdi Zhu is collaborating with the University of Virginia’s Wajih Ul Hassan to develop scalable host-based intrusion detection systems using federated learning, enhancing cybersecurity while ensuring data privacy.

From degrees in engineering and geoinformation science to her current role as a director in AI and machine learning, Adjunct Professor Aisha Behr brings a wealth of industry experience to the classroom, inspiring students with real-world knowledge and innovative teaching methods. 

Two George Mason faculty member will represent the university on a governor-created task force on AI.

George Mason University today announced an anonymous $4.85 million gift to advance groundbreaking research on bruise and injury detection for individuals who experience interpersonal violence. The funding will help develop new tools in imaging technology using a light source that is five times better than white light for identifying and visualizing bruising across all skin tones for use by forensic nurses, social service providers, and law enforcement.