Hoda Eldardiry's research spans machine learning, knowledge discovery, and data mining -- with a focus on social network analysis, ensemble classification, and statistical relational learning. She is currently working on fraud analysis and anomaly detection, which has both government and commercial application.
Hoda is particularly interested in the relational characteristics of data, including recovering and utilizing hidden structures. She has developed algorithms that combine relational knowledge from multiple sources and propagate inference information across various relational models.
Dr. Eldardiry earned her Ph.D. and M.S. in Computer Science from Purdue University, and her Bachelor's degree in Computer and Systems Engineering from Alexandria University in Egypt.
blog posts view all
Wearables and Analytics: Powerful Prescription for Better Healthcare
posted 12 November 2015
in the news view all
Panic button: How wearable tech and VR are tackling the problem of panic attacks
3 December 2015 | Wareable
Immigration Rx for Women: Maximum Strength
11 November 2015 | Huffington Post
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A Wearable and Mobile Intervention Delivery System for Individuals with Panic Disorder
1 December 2015 | Linz, CA
Towards a Mobile and Wearable System for Predicting Panic Attacks
7 September 2015