Hoda Eldardiry is an associate professor in the Department of Computer Science. Her research in artificial intelligence and machine learning focuses on human machine collaborative intelligence, multi-source learning, graph machine learning, and anomaly detection.
Prior to joining Virginia Tech in Fall 2019, Eldardiry worked at the Palo Alto Research Center, where she served in multiple capacities including the position of senior research manager for interactive machine learning. She developed collaborative artificial intelligence systems that intelligently interact with experts to improve learning and anomaly detection models for threat detection.
Eldardiry has published 35 peer-reviewed papers and holds 19 patents. She has managed research projects for government and commercial sectors with her own share of the awards exceeding $12 million.
She received the Creative Young Engineer Award from the National Academy of Engineers, as well as the Xerox Innovation Group Research Recognition Award for Advancing the Edge of Innovation.
Eldardiry has served as a professional mentor for the U.S. State Department TechWomen program, a Bureau of Educational & Cultural Affairs initiative to combine global business, technology, and education power.
She earned a bachelor’s degree in computer and systems engineering from Alexandria University, Egypt, and a master’s degree and Ph.D. in computer science from Purdue University.