Published/Accepted [Journals]:

1. 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 

2. 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

3.  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

4. Ramesh, S., Deep, A., Tamayol, A., Kamaraj, A., Mahajan, C. and Madihally, S. (2024) "Advancing 3D bioprinting through machine learning and artificial intelligence." Bioprinting DOI:10.1016/j.bprint.2024.e00331

5. 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

6. 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 

7. Sun J., Deep, A., Zhou S. and Veeramani D. (2022) “Industrial System Working Condition Identification using Operation-adjusted Hidden Markov Model”, Journal of Intelligent Manufacturing DOI:10.1007/s10845-022-01942-z 

8. Deep, A. Zhou S., Veeramani D., Wedge S., and Hardin C. (2021) "Outlier Detection and Online Monitoring of Event Sequences Arising in Customer Service Process with Unknown Event-types", Quality Engineering DOI:10.1080/08982112.2021.1946696 

9. 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]

10. Bharadwaj A., Deep, A., Veeramani D. and Zhou S. (2021) "A Custom Word Embedding Model for Clustering of Maintenance Records", IEEE Transactions on Industrial Informatics DOI:10.1109/TII.2021.3079521

11. Huang, C., Deep, A. Zhou S. and Veeramani D. (2021) "A Deep Learning Approach for Predicting Critical Events using Event Logs", Quality and Reliability Engineering International DOI:10.1002/qre.2853

12. 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

13. 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.

14. Deep, A., Sharma, Y. and Anbanandam, R. (2017) "Quality Assessment of Academic Websites using Structured Equation Modelling". Int. J. Management in Education DOI:10.1504/IJMIE.2017.083357.

15. Deep A., Meena, C.S. and Das, A.K. (2017) "Interaction of Asymmetric Films Around Boiling Cylinder Array: Homogeneous Interface to Chaotic Phenomenon". ASME. J. Heat Transfer DOI:10.1115/1.4035312.

16. Meena, C.S., Deep A. and Das, A.K. (2017) "Understanding of Interactions for Bubbles Generated at Neighboring Nucleation Sites". Heat Transfer Engineering DOI: 10.1080/01457632.2017.1338866