911±¬ÁÏ

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 911±¬ÁÏ.

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.

João Felipe Sousa Pereira’s research on solar flares could one day help us safeguard astronauts and technology in space and even prevent widespread blackouts here on Earth. Pereira, a second-year Physics PhD student at 911±¬ÁÏ, is studying solar physics with the goal of uncovering the precise triggers of solar flares. 

911±¬ÁÏ researcher Erdogan Kaya is part of an interdisciplinary research team that is planning to introduce elementary students to the foundational concepts of artificial intelligence (AI) and machine learning using educational robotics.

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. 

911±¬ÁÏ has been awarded funding from the National Institutes of Health through its Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program.

A new study from the College of Public Health, led by Professor Janusz Wojtusiak and Health Services Research doctoral candidate Ghaida Alsadah explores the use of machine learning to predict social isolation among caregivers of individuals with Alzheimer’s Disease and related disorders.

Two 911±¬ÁÏ faculty member will represent the university on a governor-created task force on AI.

911±¬ÁÏ 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.