Scholar
Hoda Eldardiry
Google Scholar ID: RQq30hYAAAAJ
Associate Professor of Computer Science, Virginia Tech
Citations & Impact
Citations
1,280
H-index
19
i10-index
36
Publications
20
Co-authors
75
list available
Publications
Resume (English only)
Academic Achievements
- She has authored over 85 publications in reputable AI/ML venues such as JMLR, TKDD, TIST, TBD, TKDE, AAAI, KDD, WWW, CIKM, BigData, ICONIP, PAKDD, IJCNN, EMNLP, and COLING. She serves on advisory/editorial/review boards including NSF, MIT Press, TITS, AAAI, BigData, NeurIPS, DMKD, KAIS, ICML, KDD, WSDM, SDM, and technology startups. Her research is supported by a total grant funding of $27,424,460 ($13,808,328 share) from VT, IARPA, DOE, NSF, DARPA, NIH-iTHRIV, CCI, EBAY, SIEMENS, ADOBE, P&G, and XEROX. She holds several granted patents.
Research Experience
- Before joining Virginia Tech, Hoda led the machine learning research group at Xerox PARC.
Education
- She obtained her doctoral degree from Purdue University in Computer Science, where she also received the Early Career Distinguished Scientist Award. The advisor is not explicitly mentioned.
Background
- Dr. Hoda Eldardiry is an Associate Professor at Virginia Tech's Computer Science department and the director of the Machine Learning Laboratory. Her research focuses on robust machine learning for information extraction, forecasting, and control.
