B.S. Civil Engineering, Sharif University of Technology, 2011M.S. Civil Engineering, Texas A&M University, 2014Ph.D. Civil Engineering, University of Illinois at Urbana–Champaign, 2019
The overarching objective of my research is to develop sensing and computing methodologies for fast and reliable analysis of smart and interconnected infrastructure systems under uncertainty. My research is inherently multi-disciplinary and aims to advance reliability and resilience of infrastructure systems by facilitating fast and accurate system analysis that leads to optimal system operation and management.
One of 30 early career women to attend 2019 Rising Stars in Computational and Data Science Workshop at University of Texas Austin
One of 20 early career women to attend 2017 Rising Stars in Civil Engineering Workshop at MIT
Data-driven scientific computing
Intelligent transportation systems
Smart and resilient infrastructure systems
Fast Probabilistic Voltage Control for Distribution Networks with Distributed Generation Using Polynomial Surrogates. IEEE Access. ABSAlemazkoor, N. & Meidani, H.
Efficient Collection of Connected Vehicles Data with Precision Guarantees. IEEE Transactions on Intelligent Transportation Systems. ABSAlemazkoor, N. & Meidani, H.
A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions. Journal of Computational Physics. ABS Alemazkoor, N., & Meidani, H. (2018).