All published items below link to a publisher page where available. Use my Google Scholar profile for citation data and the complete searchable record.

Journal articles

  1. Mukherjee, S., Hering, A., Melin, A., Ghanem, S. S., Cath, T., & Villez, K. (2026). Predicting Initial Trans-Membrane Pressure Across Cycles in an Ultrafiltration Process Using Random Forest. Water Science and Technology.
  2. Mukherjee, S., Udpa, L., & Deng, Y. (2024). Dynamic Defect Detection in Fast, Robust NDE Methods by Transfer Learning Based Optimally Binned Hypothesis Tests. Research in Nondestructive Evaluation.
  3. Mukherjee, S., Hamilton, C., Huang, X., Udpa, L., & Deng, Y. (2023). Enhanced Defect Detection in NDE Using Registration Aided Heterogeneous Data Fusion. NDT & E International.
  4. Mukherjee, S., Zhang, R., Alzuhiri, M., Rao, V. V., Udpa, L., & Deng, Y. (2022). Inline Pipeline Inspection Using Hybrid Deep Learning Aided Endoscopic Laser Profiling. Journal of Nondestructive Evaluation.
  5. Mukherjee, S., Udpa, L., & Deng, Y. (2022). Robust Defect Detection Under Uncertainties Using Spatially Adaptive Capacitive Sensing. Journal of Applied Physics.
  6. Mukherjee, S., Huang, X., Udpa, L., & Deng, Y. (2021). A Kriging-Based Magnetic Flux Leakage Method for Fast Defect Detection in Massive Pipelines. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems.
  7. Huang, X., Mukherjee, S., & Deng, Y. (2024). Fast VGG: An Advanced Pre-Trained Deep Learning Framework for Multi-Layered Composite NDE. Research in Nondestructive Evaluation.
  8. Huang, X., Mukherjee, S., & Deng, Y. (2024). Deep Learning-Assisted Structural Health Monitoring: Acoustic Emission Analysis and Domain Adaptation. Engineering Research Express.
  9. Aenagandula, S., Mukherjee, S., Rao, N., & Deng, Y. (2024). Adaptive Segmentation-Based Evaluation of Material Properties of Dielectric Sheets Using Microwave NDE. Nondestructive Testing and Evaluation.
  10. Lu, W., Zeng, M., Wang, L., Luo, H., Mukherjee, S., Huang, X., & Deng, Y. (2019). Navigation Algorithm Based on the Boundary Line of Tillage Soil. Sensors.

Book chapter

  • Mukherjee, S., & Udpa, L. (2024). Signal and Image Processing for Electromagnetic Testing. American Society for Nondestructive Testing.

Peer-reviewed conference publications

  1. Mukherjee, S., Villez, K., Warmack, B., Groth, P., Herron, D., Boyaci, A., & Joseph, O. (2026). Rolling Root Mean Square Based Multimodal Anomaly Detection for Real-Time Monitoring of Smart Grid Substations. IEEE International Conference on Prognostics and Health Management.
  2. Mukherjee, S., Villez, K., Melin, A., Ghanem, S., Cath, T., & Hering, A. (2025). Predicting Initial Trans-Membrane Pressure for Optimized Operations in a UF Unit Using Random Forest. International Conference on Instrumentation, Control, and Automation.
  3. Mukherjee, S., Groth, P., Herron, D., Warmack, B., & Villez, K. (2025). Unsupervised Anomaly Clustering via Offset Alignment in Multivariate Grid Sensing Data. IEEE International Conference on Prognostics and Health Management.
  4. Mukherjee, S., Villez, K., & Melin, A. (2025). Data-Efficient Sparse Modeling Framework for Power Estimation in Water-Treatment Sensing Operations. International Workshop on Electromagnetic Nondestructive Evaluation.
  5. Mukherjee, S., Coroller, T., Wang, C., Samala, R., Sahiner, B., Petrick, N., & Cao, Q. (2024). Image Registration Based Automated Lesion Correspondence Pipeline for Longitudinal CT Data. IEEE International Conference on Prognostics and Health Management.
  6. Mukherjee, S., Udpa, L., & Deng, Y. (2023). Enhanced Defect Detection in NDE Using Pixel-Level Data Fusion. Applied Computational Electromagnetics Society.
  7. Mukherjee, S., Udpa, L., & Deng, Y. (2023). Accurate Material Characterization of Wideband RF Signals via Registration-Based Curve Fitting. IEEE International Conference on Prognostics and Health Management.
  8. Mukherjee, S., Huang, X., Udpa, L., & Deng, Y. (2020). Defect Tracking via NDE-Based Transfer Learning. IEEE International Conference on Prognostics and Health Management.
  9. Mukherjee, S., Huang, X., Udpa, L., & Deng, Y. (2020). A Kriging-Based Fast and Efficient Method for Defect Detection in Massive Pipelines. International Mechanical Engineering Congress and Exposition.
  10. Mukherjee, S., Huang, X., Udpa, L., & Deng, Y. (2019). NDE-Based Cost-Effective Detection of Obtrusive and Coincident Defects in Pipelines Under Uncertainties. IEEE International Conference on Prognostics and Health Management.
  11. Mukherjee, S., Ghorbani, P., Melin, A., Ghanem, S., Tarroja, B., Rosso, D., & Villez, K. (2026). Testing Digital Twin Control Strategies on a Physical Twin: Long-Term Evaluation. IWA Leading Edge Conference on Water and Wastewater Technologies.
  12. Mukherjee, S., Melin, A., Rosso, D., & Villez, K. (2026). High-Frequency Parameter Updates in Digital Twins: Report on a Two-Week Challenge Test for Fully Autonomous Adaptive Operation of an Effluent Water Recovery System. IWA WRRmod, Barcelona.
  13. Mukherjee, S., Cao, Q., Coroller, T., Wang, C., & Petrick, N. (2024). Early Assessment of Progression-Free Survival in Metastatic Breast Cancer: Radiomic Analysis from Initial Post-Treatment CT Data. Radiological Society of North America.
  14. Mikailov, M., Mukherjee, S., Cao, Q., Luo, F. J., & Cha, K. (2024). Scalable Assessment of Progression-Free Survival in Metastatic Breast Cancer Using HPC Clusters. FDA Scientific Computing and Digital Transformation Symposium.
  15. Palanisamy, R., Mukherjee, S., Haq, M., & Deng, Y. (2021). Rapid Material Characterization Using Smart Skin with Functional Data Analysis. IEEE International Conference on Prognostics and Health Management.
  16. Li, Z., Huang, X., Elshafiey, O., Mukherjee, S., & Deng, Y. (2021). FEM of Magnetic Flux Leakage Signal for Uncertainty Estimation in Crack-Depth Classification Using Bayesian Convolutional Neural Networks and Deep Ensembles. Applied Computational Electromagnetics Society.
  17. Rathod, V. T., Mukherjee, S., & Deng, Y. (2020). Machine Learning Enabled Damage Classification in Composite Laminated Beams Using Mode Conversion Quantification. SPIE Proceedings.
  18. Rathod, V. T., Mukherjee, S., Udpa, L., & Deng, Y. (2020). Extracting Mode-Converted Guided-Wave Response Due to Delamination Using Embedded Thin-Film Sensors. IEEE International Conference on Prognostics and Health Management.
  19. Palanisamy, R., Mukherjee, S., Haq, M., & Deng, Y. (2020). Fatigue Damage Prognosis in Adhesive-Bonded Composite Lap-Joints Using Guided Waves. IEEE International Conference on Prognostics and Health Management.
  20. Rathod, V. T., Mukherjee, S., Huang, X., Udpa, L., & Deng, Y. (2020). Dynamic Tracking of Defects in Pipelines via NDE-Based Transfer Learning. Review of Progress in Quantitative Nondestructive Evaluation.

Manuscripts, preprints, and submitted work

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