Team of Experts
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Terril C. Falls (T. C.) Associate Director tcfalls@iser.msstate.edu Office: Phone: (601) 634-5291 MSU Institute for Systems Engineering Research US Army ERDC, ATTN:CEERD-IEC/ISER T.C. Falls 3909 Halls Ferry Road, Vicksburg, MS 39180 |
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Biography:
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Mr. Falls serves as the Associate Director, Software Design and Development for the Institute for Systems Engineering Research (ISER). Mr. Falls previously served as a Research Civil Engineer for the Mobility Systems Branch, Geotechnical and Structures Laboratory, US Army Engineer Research and Development Center (ERDC). He has over 30 years of experience conducting research and designing and developing software in the R&D fields of Vehicle Mobility Modeling, Modeling and Simulation, Command and Control, Terrain Analysis, and Military Logistics.
As the Associate Director, Software Design and Development, Mr. Falls provides technical leadership of software design, development, architecture, implementation and integration and is also responsible for developing and enhancing relationships with federal, state, local governmental and private sector partners. Mr. Falls has a B.S. in civil engineering from Mississippi State University. |
Selected PublicationsTotal Publications by Terril C. Falls (T. C.): 5
Mun, S., Hwang, J., Bian, L., Falls, T. C., & Bond, W. G. (2023). Ensemble Learning for Fault Condition Prediction and Health Status Monitoring in Military Ground Vehicles. IISE Annual Conference & Expo 2023. New Orleans, LA. [Abstract] [Document] [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]
Fuller, S., McCall, T. G., Wall, E. S., Falls, T. C., Dalton, L., & Dennis, G. (2018). Manufacturability Assessment Knowledge-based Evaluation. Nashville, TN. [Abstract]
Wall, E. S., Fuller, S., & Falls, T. C. (2018). Design of the Manufacturability Assessment Knowledge-Based Evaluation Tool. Proceedings of the American Society for Engineering Management 2018 International Annual Conference. Coeur d'Alene, Idaho. [Document]
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]
Fuller, S., McCall, T. G., Wall, E. S., Falls, T. C., Dalton, L., & Dennis, G. (2018). Manufacturability Assessment Knowledge-based Evaluation. Nashville, TN. [Abstract]
Wall, E. S., Fuller, S., & Falls, T. C. (2018). Design of the Manufacturability Assessment Knowledge-Based Evaluation Tool. Proceedings of the American Society for Engineering Management 2018 International Annual Conference. Coeur d'Alene, Idaho. [Document]