Conference Papers
- S. Ahmed and W. Dong, 2022. “Tracking Control of UAVs with Uncertainty and Input Constraints.” Proceedings of American Control Conference.
- S.S. Masud, M. Noruzoliaee, and F. Nazari, 2022. “A Data-Driven Time Headway Model Using Vehicular Trajectories and Deep Learning.” Presented in the Transportation Research Board Annual Meeting.
- L. Villafranca, M. Noruzoliaee, C. Tarawneh, and A. Sanchez-Trinida, 2022. “Predicting the Remaining Service Life of Railroad Bearings: Leveraging Machine Learning and Onboard Sensor Data.” ASME Joint Rail Conference.
- M. Barrera, L. Cantu, C. Tarawneh, H. Foltz, B. Wilson, and B. Porter, 2022. “Pilot field test of an onboard wireless condition monitoring system for railroad rolling stock.” Proceedings of the 2022 ASME Joint Rail Conference.
- M. Amaro, C. Tarawneh, H. Foltz, R. Aguilera-Toro, and C. Peña, 2022. “Performance of a thermoelectric-based energy harvesting device on a realistic railroad route.” Proceedings of the 2022 ASME Joint Rail Conference.
- A. Akundi and V. Lopez, 2022. “A Conceptual Model based Systems Engineering Framework (MBSE) for Digital Twins.” IEEE Systems Engineering Conference. 10.1109/SysCon53536.2022.9773856
- M. Hernandez, F. Nazari, and M. Noruzoliaee, 2022. “Data-Driven Prediction of Ridesharing Spatiotemporal Demand Pattern.” INFORMS Annual Meeting, under review.
- A. Talebpour, 2022. “Probabilistic Traffic State Prediction Based On Vehicle Trajectory Data.” INFORMS Annual Meeting, under review.
- M.M. Garcez Duarte, E.E. Papalexakis, and J. Chen, 2022. “Graph-Assisted Tensor Disaggregation.” 17th International Workshop on Mining and Learning with Graphs (MLG), under review.
- J. Chen, D. Orozco, L. Figueroa, and E.E. Papalexakis, 2022. “Unsupervised Multiview Embedding of Node Embeddings.” Asilomar Conference on Signals, Systems, and Computers, under review.
- A. Velazquez, L. Xu, T. Sardarmehni, 2022. “Quadcopter control using single network adaptive critics.” International Mechanical Engineering Congress and Exposition, under review.
- J. Diaz, L. Xu, T. Sardarmehni, 2022. “Open-loop optimal control for tracking a reference signal with approximate dynamic programming.” International Mechanical Engineering Congress and Exposition, under review.
- E. Torres, L. Xu, T. Sardarmehni, 2022. “Using actor-critic reinforcement learning for control and flight formation of quadrotors.” International Mechanical Engineering Congress and Exposition, under review.
The University of Texas Rio Grande Valley
