Deep, A., Zhou S., Veeramani D. and Chen Y. (2023) “POMDP-based optimal maintenance planning with time-dependent observations”, European Journal of Operational Research DOI:10.1016/j.ejor.2023.05.022

Deep, A., Zhou S., Veeramani D. and Chen Y. (2022) “HMM-based Joint Modeling of Condition Monitoring Signals and Failure Event Data for Prognosis of Remaining Useful Life”, IEEE Transactions on Reliability DOI:10.1109/TR.2022.3193353 

Deep, A. Zhou S. and Veeramani D. (2021) "A Data-Driven Recurrent Event Model for System Degradation with Imperfect Maintenance Actions", IISE Transactions DOI:10.1080/24725854.2021.1871687 [R codes]

Deep, A., Zhou S. and Veeramani D. (2020) "Copula-based multi-event modeling and prediction using fleet service records", IISE Transactions DOI:10.1080/24725854.2020.1802792

Deep, A., Veeramani D. and Zhou S. (2019) "Event Prediction for Individual Unit Based on Recurrent Event Data Collected in Teleservice Systems". IEEE Transactions on Reliability DOI:10.1109/TR.2019.2909471.

Rane A., Hart S., Ramesh S., and Deep A. (2024) "Surrogate-assisted multi-objective Bayesian optimization for improved rheological design of bioinks" Manufacturing Letters, DOI:10.1016/j.mfglet.2024.09.167 

Inman E., Noori H., Deep A., and Ramesh S. (2024) “Stronger, lighter, and faster: Multi-objective Bayesian optimization for additive manufacturing” Progress in Additive Manufacturing, DOI: 10.1007/s40964-024-00769-9

 Fulkerson O., Inman E., Rane A., Noori H., Deep A., and Ramesh S. (2024) “Multi-objective Bayesian optimization of fused filament fabrication parameters for enhanced specific fracture energy in fiber reinforced polymer components” Advanced Manufacturing: Polymer & Composites Science, DOI:10.1080/20550340.2024.2395089