| A review of data-driven oil and gas pipeline pitting corrosion growth models applicable for prognostic and health management R Heidary, SA Gabriel, M Modarres, KM Groth, N Vahdati International Journal of Prognostics and Health Management 9 (1), 2018 | 41 | 2018 |
| A hybrid population-based degradation model for pipeline pitting corrosion R Heidary, KM Groth Reliability Engineering & System Safety 214, 107740, 2021 | 16 | 2021 |
| A hybrid model of internal pitting corrosion degradation under changing operational conditions for pipeline integrity management R Heidary, KM Groth Structural Health Monitoring 19 (4), 1075-1091, 2020 | 13 | 2020 |
| Deep autoencoder for anomaly detection in terminal airspace operations SJ Corrado, TG Puranik, OJ Pinon-Fischer, D Mavris, R Rose, J Williams, ... AIAA Aviation 2021 Forum, 2405, 2021 | 8 | 2021 |
| Optimal maintenance policy for corroded oil and gas pipelines using markov decision processes R Heidarydashtarjandi, J Prasad-Rao, KM Groth International Journal of Prognostics and Health Management 13 (1), 2022 | 7 | 2022 |
| Fusing more frequent and accurate structural damage information from one location to assess damage at another location with less information R Heidary, KM Groth, M Modarres Proceedings of the 14th probabilistic safety assessment and management …, 2018 | 3 | 2018 |
| Smart Buildings in the IoT Era – Necessity, Challenges, and Opportunities R. Heidary, J. Prasad Rao, O.J. Pinon Fischer Handbook of Smart Energy Systems, 2023 | 2 | 2023 |
| Finding optimal maintenance policy for pipeline corrosion using data fusion R Heidary, K Groth, M Modarres, N Vahdati Research and Development Petroleum Conference and Exhibition 2018 2018 (1 …, 2018 | 1 | 2018 |
| Integrating R&M throughout UAF, Case Study: NASA Infrastructure R Heidary, J Williams, J Parsad Rao, OJ Pinon Fischer, D Scott, ... 70th Annual Reliability and Maintainability Symposium, 2024 | | 2024 |
| Detecting Manufacturing Defects in PCBs via Data-Centric Machine Learning on Solder Paste Inspection Features J Prasad-Rao, R Heidary, J Williams arXiv preprint arXiv:2309.03113, 2023 | | 2023 |
| P-wave first-motion polarity determination using deep learning Q Zhai, Z Peng, R Heidary, J Williams, S Howard, S Dai, L Zhu, YM Wu AGU Fall Meeting Abstracts 2021, S35C-0229, 2021 | | 2021 |
| Developing Hybrid Phm Models for Pipeline Pitting Corrosion, Considering Different Types of Uncertainty and Changes in Operational Conditions R Heidarydashtarjandi University of Maryland, College Park, 2019 | | 2019 |
Katrina M. GrothUniversity of MarylandVerified email at umd.edu
