Ayantha Umesh Senanayaka Mudiyanselage (Ayantha) 
Ayantha Umesh (Ayantha)
Senanayaka Mudiyanselage
Postdoctoral Associate

Curriculum Vitae not Provided


Email
aus20@cavs.msstate.edu

Office
CAVS 2167

Research Interest
Process Monitoring, Additive Manufacturing, Predictive Maintenance, AI/ML, Deep Learning
Selected PublicationsTotal Publications:  4 
Senanayaka, A., Lee, P., Lee, N, Dickerson, C., Netchaev, A., & Mun, S. (2024). Enhancing the Accuracy of Machinery Fault Diagnosis through Fault Source Isolation of Complex Mixture of Industrial Sound Signals. The International Journal of Advanced Manufacturing Technology. Springer London. 133, 5627-5642. DOI:https://doi.org/10.1007/s00170-024-14080-y. [Document Site]

Senanayaka, A., Tian, W., Falls, T. C., & Bian, L. (2023). Understanding the Effects of Process Conditions on Thermal-Defect Relationship: A Transfer Machine Learning Approach. Journal of Manufacturing Science and Engineering. American Society of Mechanical Engineers. 145(7), 071010. DOI:https://doi.org/10.1115/1.4057052. [Document Site]

Mamun, A. A., Bappy, M. M., Senanayaka, A., Li, J., Jiang, Z., Tian, Z., Fuller, S., Falls, T. C., Bian, L., & Tian, W. (2023). Multi-channel Sensor Fusion for Real-time Bearing Fault Diagnosis by Frequency-domain Multilinear Principal Component Analysis. The International Journal of Advanced Manufacturing Technology. Springer London. 124(3), 1321-1334. DOI:https://doi.org/10.1007/s00170-022-10525-4.

Senanayaka, A., Mamun, A. A., Bond, G., Tian, W., Wang, H., Fuller, S., Falls, T. C., Rahimi, S., & Bian, L. (2022). Similarity-based Multi-source Transfer Learning Approach for Time Series Classification. International Journal of Prognostics and Health Management. 13(2), 1-25. DOI:https://doi.org/10.36001/ijphm.2022.v13i2.3267. [Document Site]