Journal Articles
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- F. Ahmed, M.S. Forhad, and M.H. Porag, 2024. "Spectral Behavior of Fiber Bragg Gratings during Embedding in 3D-Printed Metal Tensile Coupons and Cyclic Loading." Sensors 2024, no. 12: 3919. https://doi.org/10.3390/s24123919
- F. Nazari, and A. Mohammadian, 2023 "Modeling vehicle-miles of travel accounting for latent heterogeneity." Transport Policy. DOI: 10.1016/j.tranpol.2023.01.005
- M. Noruzoliaee and B. Zou, 2022. "One-to-many matching and section-based formulation of autonomous ridesharing equilibrium." Transportation Research Part B: Methodological, 155, pp.72-100. DOI: 10.1016/j.trb.2021.11.002.
- S. Ahmed and W. Dong, 2022. “Distributed Cooperative Control of Multiple UAVs with Uncertainty.” Submitted to Int. J of Dynamics and Control, under review.
- D. Xu, W. Shiao, J. Chen, and E.E. Papalexakis, 2022. “SV-learn: Learning Matrix Singular Values with Neural Networks.” Submitted to SIAM Undergraduate Research Online, under review.
- M. Khajeh Hosseini and A. Talebpour, 2022. “Probabilistic Traffic State Prediction Based on Vehicle Trajectory Data.” Submitted to Transportation Research Part C: Emerging Technologies, under review.
- Y. Lin, B. Zou, and M. Noruzoliaee, 2022. “Connected and autonomous vehicle lanes: implementation policies with equity consideration.” Working paper.
- A. Villa and B. Zou, 2022. “Deploying vertiports for airport access by Urban Air Mobility: A case study for the city of Chicago.” Working paper.
- N. Dimakis, E. Baldemar Rodriguez Jr., K.N. Ackaah-Gyasi, and M. Pokhrel, 2022. “Electronic, optical, and simulated x-ray near edge spectra for Y2O2S and Er dopped Y2O2S.” Working paper.
- N. Dimakis, E. Baldemar Rodriguez Jr., K.N. Ackaah-Gyasi, and Madhab Pokhrel, 2022. “Data of electronic, optical, XANES spectra for Y2O2S and Er dopped Y2O2S.” Working paper.
- F. Nazari and M. Noruzoliaee, 2022. “Privately-Owned versus Shared Automated Vehicle: The Roles of Utilitarian and Hedonic Beliefs.” Working paper.
- L. Villafranca, S. Martinez, M. Noruzoliaee, F. Nazari, and C. Tarawneh, 2022. “Gradient boosting machines for long-term prediction of train bearing vibration levels.” Working paper.
- M. Navalta, M. Noruzoliaee, F. Nazari, S.S. Masud, 2022. “Multi-horizon prediction of vehicle headways using deep learning and vehicular trajectories.” Working paper.
- M. Pokhrel, S.K. Gupta, A. Perez, B. Modak, P. Modak, L.A. Lewis, and Y. Mao, 2021. "Up- and Down-Convertible LaF3: Yb,Er Nanocrystals with a Broad Emission Window from 350 nm to 2.8 μm: Implications for Lighting Applications." ACS Applied Nano Materials 2021 4 (12), 13562-13572. DOI: 10.1021/acsanm.1c03023
- F. Nazari, M. Noruzoliaee, and A. Mohammadian, 2021. “Behavioral acceptance of automated vehicles: The roles of perceived safety concern and current travel behavior.” Submitted to Transportation Research Part A: Policy and Practice, under review.
The University of Texas Rio Grande Valley
