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Negin Alemazkoor
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Predicting near-term train schedule performance and delay using bi-level random forests
MA Nabian, N Alemazkoor, H Meidani
Transportation Research Record 2673 (5), 564-573, 2019
502019
Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency
N Alemazkoor, B Rachunok, DR Chavas, A Staid, A Louhghalam, ...
Scientific reports 10 (1), 15270, 2020
312020
Divide and conquer: An incremental sparsity promoting compressive sampling approach for polynomial chaos expansions
N Alemazkoor, H Meidani
Computer Methods in Applied Mechanics and Engineering 318, 937–956, 2017
312017
A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions
N Alemazkoor, H Meidani
Journal of Computational Physics 371, 137-151, 2018
282018
The impact of HOT lanes on carpools
M Burris, N Alemazkoor, R Benz, NS Wood
Research in Transportation Economics 44, 43-51, 2014
282014
Survival analysis at multiple scales for the modeling of track geometry deterioration
N Alemazkoor, CJ Ruppert, H Meidani
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2018
242018
Smart-meter big data for load forecasting: An alternative approach to clustering
N Alemazkoor, M Tootkaboni, R Nateghi, A Louhghalam
IEEE access 10, 8377-8387, 2022
162022
Using empirical data to find the best measure of travel time reliability
N Alemazkoor, MW Burris, SR Danda
Transportation Research Record 2530 (1), 93-100, 2015
162015
A preconditioning approach for improved estimation of sparse polynomial chaos expansions
N Alemazkoor, H Meidani
Computer Methods in Applied Mechanics and Engineering 342, 474-489, 2018
122018
A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget
N Alemazkoor, A Louhghalam, M Tootkaboni
Computer Methods in Applied Mechanics and Engineering 389, 114290, 2022
72022
Examining Impacts of Increasing Speed Limit on Speed Distribution: Case Study
N Alemazkoor, H Hawkins
Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014
72014
Fast Probabilistic Voltage control for distribution networks with distributed generation using polynomial surrogates
N Alemazkoor, H Meidani
IEEE Access 8, 73536-73546, 2020
62020
A data-driven multi-fidelity approach for traffic state estimation using data from multiple sources
N Alemazkoor, H Meidani
IEEE Access 9, 78128-78137, 2021
42021
Efficient collection of connected vehicles data with precision guarantees
N Alemazkoor, H Meidani
IEEE Transactions on Intelligent Transportation Systems 21 (11), 4637-4645, 2019
42019
A recursive data-driven model for traffic flow predictions for locations with faulty sensors
N Alemazkoor, S Wang, H Meidani
2018 21st International Conference on Intelligent Transportation Systems …, 2018
42018
Examining potential travel time savings benefits due to toll rates that vary by lane
N Alemazkoor, M Burris
Journal of Transportation Technologies 2014, 2014
42014
RAS Problem Solving Competition Report–Track Geometry Analytics.
N Alemazkoor, C Ruppert, H Meidani
https://m.informs.org/Community/RAS/Problem-Solving-Competition/2015-RAS …, 2015
32015
Improving Accuracy and Computational Efficiency of Optimal Design of Experiments via Greedy Backward Approach
M Taghizadeh, D Xiu, N Alemazkoor
International Journal for Uncertainty Quantification 14 (1), 2024
22024
Early prediction of response to palliative chemotherapy in patients with stage-IV gastric and esophageal cancer
X Ma, E Pierce, H Anand, N Aviles, P Kunk, N Alemazkoor
Bmc Cancer 23 (1), 910, 2023
22023
Track geometry analytics
SK Sinha, S Raut, H Khadilkar, N Alemazkoor, CJ Ruppert, H Meidani
RAS Problem Solving Competition Report, 1-11, 2015
22015
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