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Parnian Ghasemi
Parnian Ghasemi
Pavement Engineer
Verified email at kiewit.com
Title
Cited by
Cited by
Year
Principal component analysis-based predictive modeling and optimization of permanent deformation in asphalt pavement: elimination of correlated inputs and extrapolation in modeling
P Ghasemi, M Aslani, DK Rollins, RC Williams
Structural and Multidisciplinary Optimization 59, 1335-1353, 2019
472019
Principal component neural networks for modeling, prediction, and optimization of hot mix asphalt dynamics modulus
P Ghasemi, M Aslani, DK Rollins, RC Williams
Infrastructures 4 (3), 53, 2019
322019
Modeling rutting susceptibility of asphalt pavement using principal component pseudo inputs in regression and neural networks
P Ghasemi, M Aslani, DK Rollins, RC Williams, VR Schaefer
Elsevier, 2018
262018
Constrained mean‐variance mapping optimization for truss optimization problems
M Aslani, P Ghasemi, AH Gandomi
The Structural Design of Tall and Special Buildings 27 (6), e1449, 2018
162018
Performance evaluation of coarse-graded field mixtures using dynamic modulus results gained from testing in the indirect tension mode
P Ghasemi, J Podolsky, R Christopher Williams, E Dave
International Conference on Transportation and Development 2016, 1111-1121, 2016
122016
Predicting dynamic modulus of asphalt mixture using data obtained from indirect tension mode of testing
P Ghasemi, S Lin, DK Rollins, RC Williams
arXiv preprint arXiv:1905.06810, 2019
72019
Field Investigation of Stabilized Full-Depth Reclamation (SFDR)
P Ghasemi, J Yu, P Ledtji, RC Williams, C Jahren
Minnesota. Department of Transportation, 2018
22018
Evaluating gantry crane-way pavement performance: An inverse approach
P Ghasemi, M Aslani, JC Ashlock, RC Williams, VR Schaefer
Transportation Geotechnics 27, 100500, 2021
12021
Developing a Robust Modeling Approach for Pavement Performance Prediction and Optimization
P Ghasemi, M Aslani, DK Rollins, RC Williams
Association of Asphalt Paving Technologists, 2019
12019
Developing a machine learning based framework for prediction and optimization of hot mix asphalt dynamic modulus
P Ghasemi, M Aslani, DK Rollins, RC Williams
Transportation Research Board 2019 Annual Meeting conference, Washington, DC, 2019
12019
Application of optimization and machine learning techniques in predicting pavement performance and performance-based pavement design
P Ghasemi
Iowa State University, 2019
12019
Performance evaluation of coarse-graded field mixtures using dynamic modulus results gained from testing in indirect tension mode of testing
P Ghasemi
Iowa State University, 2018
12018
Deep Knowledge Versus Deep Learning
D Rollins, P Ghasemi
2019 AIChE Annual Meeting, 2019
2019
Principal Component Neural Networks for Modeling, Prediction, and Optimization of Hot Mix Asphalt Dynamics Modulus
DK Rollins, M Aslani, D Rollins, RC Williams
2019
Predicting Dynamic Modulus of Asphalt Mixture Using Data Obtained from Indirect Tension Mode of Testing
DK Rollins, S Lin, D Rollins, RC Williams
2019
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