Ifeoma is an Assistant Professor in Computer Science at the Rochester Institute of Technology. Before that she was a Research Scientist at the Center for Unified Biometrics and Sensors (CUBS) and the Center of Excellence for Document Analysis and Recognition (CEDAR).
She completed her PhD in 2009 the Computer Science and Engineering department at the University at Buffalo, SUNY (UB) as an NSF IGERT Fellow and was an NSF-sponsored Computing Innovation Postdoctoral Fellow at the Computer Science department at the University of Rochester; her master's degree in Computer and Information Science at the University of Pennsylvania and her Electrical Engineering undergraduate degree at the University of Lagos, Nigeria.
Recently Ifeoma earned a prestigious National Science Foundation award to use computers to better understand human behavior and social interaction. She aims to study human behavior in a new way, by using machine learning techniques to analyze and find patterns in the many signals that individuals display during social interactions. Her work will specifically look at groups working in science, technology, engineering and math (STEM), with the aim of supporting underrepresented groups in STEM.
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