| 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 | 44 | 2019 |
| A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions N Alemazkoor, H Meidani Journal of Computational Physics 371, 137-151, 2018 | 28 | 2018 |
| 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 | 28 | 2017 |
| 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 | 27 | 2020 |
| The impact of HOT lanes on carpools M Burris, N Alemazkoor, R Benz, NS Wood Research in Transportation Economics 44, 43-51, 2014 | 27 | 2014 |
| 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 | 23 | 2018 |
| 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 | 16 | 2015 |
| 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 | 11 | 2018 |
| 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 | 9 | 2022 |
| Examining Impacts of Increasing Speed Limit on Speed Distribution: Case Study N Alemazkoor, H Hawkins Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 7 | 2014 |
| Fast probabilistic voltage control for distribution networks with distributed generation using polynomial surrogates N Alemazkoor, H Meidani IEEE Access 8, 73536-73546, 2020 | 6 | 2020 |
| 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 | 5 | 2018 |
| Efficient collection of connected vehicles data with precision guarantees N Alemazkoor, H Meidani IEEE Transactions on Intelligent Transportation Systems 21 (11), 4637-4645, 2019 | 4 | 2019 |
| Examining potential travel time savings benefits due to toll rates that vary by lane N Alemazkoor, M Burris Journal of Transportation Technologies 2014, 2014 | 4 | 2014 |
| 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 3 | 2015 |
| Track geometry analytics SK Sinha, S Raut, H Khadilkar, N Alemazkoor, CJ Ruppert, H Meidani RAS Problem Solving Competition Report, 1-11, 2015 | 2 | 2015 |
| 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 | 1 | 2023 |
| 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 | | 2024 |
Hadi MeidaniUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
