Reports and Presentations
Master Reports
Professional Presentations
- Villafranca, L., Noruzoliaee, M., Tarawneh, C., and Sanchez-Trinida, A., “Predicting the remaining service life of railroad bearings: Leveraging machine learning and onboard sensor data,” Proceedings of the 2022 ASME Joint Rail Conference, Baltimore area, Maryland, April 19-21, 2022.
- Carvajal, A. P., Pokhrel, M., and Dimakis, N. Gamma irradiation and actinide doping effect in nanocrystalline Gd2Hf2O7. College of Science Conference at University of Texas Rio Grande Valley. Student Received the best poster award in undergraduate Category research, November 18, 2021 (Link for awardee: https://www.utrgv.edu/arc/agenda/awards/index.htm)
- Pokhrel, M., Carvajal, A. P., and Dimakis, N. Effect of High Energy Radiation in Gd2Hf2O7: Combined Experimental and Theoretical Study. 15th Biennial DAE-BRNS Symposium on Nuclear and Radiochemistry (NUCAR-2021), at DAE Convention Centre, Anushakltinagar, Mumbai-400094, India, February 22-26, 2022.
Poster Presentations
- Martinez, S. M., Tarawneh, C., and Noruzoliaee, M., "Vibration-Based Machine Learning Models for Condition Monitoring of Railroad Rolling Stock" presented at the Transportation Research Board poster session, Washington D.C., January 9-11, 2023.
- Doty, G., Tarawneh, C., and Talebpour, A., "Characterization of Continuous Trajectories for Deep ResNetDetected Vehicles and Manually Stitching of Unique IDs at “Gap” Locations" presented at the Transportation Research Board poster session, Washington D.C., January 9-11, 2023.
- Braghini, B., Foltz, H., and Tarawneh, C., "Integration and Implementation of LoRa-Based Sensor Communications for Freight Railcar Condition Monitoring Applications" presented at the Transportation Research Board poster session, Washington D.C., January 9-11, 2023.
- Urteaga, A. and Tarawneh, C., "Improved Machine Vision Algorithm for Unmanned Aerial Vehicle (UAV) Applications in the Monitoring of Transportation Infrastructure" presented at the Transportation Research Board poster session, Washington D.C., January 9-11, 2023.
- Masoud, S., Noruzoliaee, M., Nazari, F. A data-driven time headway model using vehicular trajectories and deep learning. 101th Annual Meeting of the Transportation Research Board, Washington, D.C., January 9-13, 2022.
