Kimia Vahdat
Advisor: Sara Shashaani
- Email: kvahdat@ncsu.edu
Kimia Vahdat is a Ph.D. student at NC State’s Edward P. Fitts Department of ISE, focusing on Systems Analytics and Optimization.
Concentration Area
Systems Analytics and Optimization
Research Interests
Kimia’s research focuses on improving feature selection using simulation optimization. Their field of work is generally expandable to any combinatorial optimization problem.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Expected Graduation | 2023 | Spring | ||
| MOR | Master of Operations Research | NC State University | 2020 |
| BSc | Bachelor of Science in Energy Engineering | Sharif University of Technology, Tehran, Iran | 2018 |
Publications
- Improved feature selection with simulation optimization
- Shashaani, S., & Vahdat, K. (2022, May 30), OPTIMIZATION AND ENGINEERING, Vol. 5. https://doi.org/10.1007/s11081-022-09726-3
- Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering
- Mao, L., Vahdat, K., Shashaani, S., & Swann, J. L. (2022), Springer Proceedings in Business and Economics, 453–465. https://doi.org/10.1007/978-3-030-75166-1_34
- Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions
- Vahdat, K., & Shashaani, S. (2021), 2021 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc52266.2021.9715420
- SIMULATION OPTIMIZATION BASED FEATURE SELECTION, A STUDY ON DATA-DRIVEN OPTIMIZATION WITH INPUT UNCERTAINTY
- Vahdat, K., & Shashaani, S. (2020), 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 2149–2160. https://doi.org/10.1109/WSC48552.2020.9383862
