Kimia Vahdat

Advisor: Dr. Sara Shashaani

Kimia Vahdat is a Ph.D. student at NC State’s Edward P. Fitts Department of ISE focusing on Systems Analytics and Optimization.

Research Interests

Kimia’s research focuses on improving feature selection using simulation optimization. Thier field of work is generally expandable to any combinatorial optimization problem.

Education

DegreeProgramSchoolYear
Expected Graduation2023 | Spring
MORMaster of Operations ResearchNC State University2020
BScBachelor of Science in Energy EngineeringSharif University of Technology, Tehran, Iran2018
 

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
, (2022). Springer Proceedings in Business and Economics. https://doi.org/10.1007/978-3-030-75166-1_34
Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions
, (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). https://doi.org/10.1109/WSC48552.2020.9383862

View all publications via NC State Libraries

Kimia Vahdat