Nagiza Samatova
Computer Science
- Phone: 919-513-7575
- Email: nfsamato@ncsu.edu
- Office: Engineering Building II (EB2) 2272
Research Interests
- Algorithms and Theory of Computation
- Data Sciences and Analytics
- Information and Knowledge Management
- Parallel and Distributed Systems
- Scientific and High-Performance Computing
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Applied Mathematics | Computational Center of Russian Academy of Sciences, Moscow, Russia | 1993 |
| MSCS | Master of Science in Computer Science | University of Tennessee, Knoxville, USA | 1998 |
| BSAM | Bachelor of Science in Applied Mathematics | Tashkent State University, Uzbekistan | 1991 |
Honors and Awards
- 2008 | Oak Ridge National Laboratory (ORNL) Outstanding Mentor Award
- 2016 | Best Paper Award at High-Performance Computing Symposium
Publications
- Predictive models with end user preference
- Zhao, Y., Yang, X., Bolnykh, C., Harenberg, S., Korchiev, N., Yerramsetty, S. R., … Samatova, N. F. (2021, August 26), STATISTICAL ANALYSIS AND DATA MINING, Vol. 8. https://doi.org/10.1002/sam.11545
- Group classification of the two-dimensional shallow water equations with the beta-plane approximation of coriolis parameter in Lagrangian coordinates
- Meleshko, S., & Samatova, N. F. (2020), COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 90. https://doi.org/10.1016/j.cnsns.2020.105337
- The one-dimensional Green-Naghdi equations with a time dependent bottom topography and their conservation laws
- Kaptsov, E., Meleshko, S., & Samatova, N. F. (2020), PHYSICS OF FLUIDS, 32(12). https://doi.org/10.1063/5.0031238
- An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting
- Yang, R., He, J., Xu, M., Ni, H., Jones, P., & Samatova, N. (2018), ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS (ICDM 2018), Vol. 10933, pp. 104–118. https://doi.org/10.1007/978-3-319-95786-9_8
- Leveraging External Knowledge for Phrase-Based Topic Modeling
- Xu, M., Yang, R., Ranshous, S., Li, S., & Samatova, N. F. (2018), Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017, 29–32. https://doi.org/10.1109/taai.2017.25
- Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model
- Xu, M., Yang, R., Jones, P., & Samatova, N. F. (2018), COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, CICLING 2017, PT II, Vol. 10762, pp. 195–210. https://doi.org/10.1007/978-3-319-77116-8_15
- Real time utility-based recommendation for revenue optimization via an adaptive online Top-K high utility itemsets mining model
- Yang, R., Xu, M., Jones, P., & Samatova, N. (2018), ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 1859–1866. https://doi.org/10.1109/fskd.2017.8393050
- Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer's disease
- Sohn, D., Shpanskaya, K., Lucas, J. E., Petrella, J. R., Saykin, A. J., Tanzi, R. E., … Doraiswamy, P. M. (2018), SCIENTIFIC REPORTS, 8. https://doi.org/10.1038/s41598-018-25377-w
- A Community-Driven Graph Partitioning Method for Constraint-Based Causal Discovery
- Chaudhary, M. S., Ranshous, S., & Samatova, N. F. (2017), In C. Cherifi, H. Cherifi, M. Karsai, & M. Musolesi (Eds.), Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017 (pp. 253–264). https://doi.org/10.1007/978-3-319-72150-7_21
- A Lifelong Learning Topic Model Structured Using Latent Embeddings
- Xu, M., Yang, R., Harenberg, S., & Samatova, N. F. (2017), 2017 11TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), pp. 260–261. https://doi.org/10.1109/icsc.2017.15
