Hoda Eldardiry
Dr. Hoda Eldardiry is Associate Professor at Virginia Tech Computer Science and director of the Machine Learning Laboratory. Eldardiry’s research is in robust machine learning for information extraction, forecasting, and control. Prior to joining Virginia Tech, Hoda led the machine learning research group at Xerox PARC. She obtained her doctoral degree from Purdue University Computer Science, where she also received the Early Career Distinguished Scientist Award.
Eldardiry authored 85+ publications in reputable AI/ML venues including JMLR, TKDD, TIST, TBD, TKDE, AAAI, KDD, WWW, CIKM, BigData, ICONIP, PAKDD, IJCNN, EMNLP, and COLING. Hoda has served 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 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.
2024 Grants
- NSF
- Advancing Health Equity using Interactive Condition Assessment and Monitoring
- VT PI [Total $997,763], [Share $299,986]
- NSF
- EBAY
- IARPA
- Size-Segregated Particle Odor Chromatographic Kernel
- Co-PI [Total $8,957,534], [Share $870,087]
- All grants
2024 Patents
- Method and System for Similarity-based Multilabel Learning
H. Eldardiry and R. Rossi
PATENT 11972329 GRANTED - System & Method using Augmented Reality for Efficient Collection of Training Data for Machine Learning
M. Shreve, S. Kumar, J. Sun, G. Gavai, R. Price, and H. Eldardiry
PATENT 11978243 GRANTED - Computer-Implemented System and Method for Generating Recurring Events
M. Stefik, D. Bobrow, H. Eldardiry, R. Krivacic, P. Liu, S. Tarkan, and E. Wu
PATENT 11934410 GRANTED - All patents
2024 Journal Publications
- A Reinforcement Learning Framework for N-ary Document-Level Relation Extraction
C. Yuan, R. Rossi, A. Katz, and H. Eldardiry
IEEE Transactions on Big Data
Impact Factor 7.2 - Graph Time-Series Modeling in Deep Learning: A Survey
H. Chen and H. Eldardiry
ACM Transactions on Knowledge Discovery from Data (TKDD)
Impact Factor 5.3 - Learning-based Optimal Control of Linear Time-Varying Systems over Large Time Intervals
V. Reddy, A. Boker, and H. Eldardiry
Systems and Control Letters
Impact Factor 2.6
Acceptance Rate 25% - Learning-based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
S. Hesarkuchak, A. Boker, V. Reddy, L. Mili, and H. Eldardiry
IEEE Control Systems Letters
Impact Factor 3.1 - Toward a Policy Approach to Normative AI Governance: Implications for AI Ethics Education
D. Kim, Q. Zhu, and H. Eldardiry
IEEE Transactions on Technology and Society - All journal pubications
2024 Conference Publications
- Prompt-based Zero-Shot Relation Extraction with Semantic Knowledge Augmentation
J. Gong and H. Eldardiry
ACL International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC)
Acceptance Rate 28% - Multilabel Zero-Shot Product Attribute-Value Extraction
J. Gong and H. Eldardiry
ACM International World Wide Web Conference (WWW)
Acceptance Rate 20.2% - Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
Acceptance Rate 15-30% - Multimodal Few-Shot Relation Extraction with Hybrid Visual Evidence
J. Gong and H. Eldardiry
ACL International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC)
Acceptance Rate 28% - Searching for Sparse Controllers with a Budget: A Bottom-Up Approach
V. Reddy, S. Gumussoy, H. Eldardiry, and A. Boker
IEEE American Control Conference Acceptance Rate 59.6% - Efficient Near-Optimal Control of Large-Size Second-Order Linear Time-Varying Systems
V. Rustagi, V. Reddy, A. Boker, C. Sultan, and H. Eldardiry
IEEE American Control Conference Acceptance Rate 59.6% - Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
H. Desai, A. Hilal, and H. Eldardiry
ACSE International Conference on Parallel & Distributed Processing Techniques & Applications - Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation
J. Weichert and H. Eldardiry
IEEE International Symposium on Technology and Society
Acceptance Rate 45% - Learning-based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
S. Hesarkuchak, A. Boker, V. Reddy, L. Mili, and H. Eldardiry
IEEE International Conference on Dynamics and Control
Acceptance Rate 56.7% - All conference publications
2023 Preprints
- GradXKG: A Universal Explain-per-Use Temporal Knowledge Graph Explainer
C. Yuan and H. Eldardiry - Data-Driven Near-Optimal Control of Nonlinear Systems over Finite Horizon
V. Reddy, H. Eldardiry, and A. Boker - All preprints
Recent Recognition
- Honorable Mention Best Paper Award
Exploring Approaches to Artificial Intelligence Governance: From Ethics to Policy
IEEE Ethics 2023 - Honorable Mention
VT CS Women’s History Month Celebration 2023 - Most Cited Paper Award
COVID-19 Pandemic Impacts on Traffic System Delay, Fuel Consumption and Emissions
International Journal of Transportation Science and Technology 2023 - Honorable Mention
Purdue CS Women’s History Month Celebration 2022 - Early Career Distinguished Scientist Award
Purdue University College of Science Distinguished Alumni 2021
Recent Outreach
- Invited Talk
- Machine Learning: Endless Possibilities
- Opening Keynote
- Data Science: Endless Possibilities
- Panelist
- Healthcare Technology Governance
- Pursuing Undergraduate Research
- Society of Women Engineers 2021
- Pursuing a Research Career
- Association for Women in Computing 2021
- Pursuing Research Internships
- Association for Women in Computing 2020
