Biography

Prof. Bill T. L. Tseng

Department of Industrial, Manufacturing and System Engineering

University of Texas at El Paso, USA

Associate Professor


Email: btseng@utep.edu


Qualifications

1999 Ph.D., Industrial Engineering, University of Iowa

1995 M.Sc., Decision Sciences/Operation Research, University of Wisconsin, Madison

1993 M.Sc., Manufacturing Systems, University of Wisconsin, Madison

1987 B.Sc., Industrial Engineering Tunghai University, Taiwan


Publications (Selected)

  1. Emon, S. H., Tseng, T. L. B., Pokojovy, M., Moen, S., McCaffrey, P., Walser, E., ... & Rahman, M. F. (2025). Uncertainty-Guided Semi-Supervised (UGSS) mean teacher framework for brain hemorrhage segmentation and volume quantification. Biomedical Signal Processing and Control, 102, 107386.
  2. Avro, S. S., Rahman, S. A., Tseng, T. L. B., & Rahman, M. F. (2024). A deep learning framework for automated anomaly detection and localization in fused filament fabrication. Manufacturing Letters, 41, 1526-1534.
  3. Emon, S. H., Tseng, T. L. B., Pokojovy, M., McCaffrey, P., Moen, S., & Rahman, M. F. (2024, April). Automatic hemorrhage segmentation in brain CT scans using curriculum-based semi-supervised learning. In Medical Imaging 2024: Image Processing (Vol. 12926, pp. 644-650). SPIE.
  4. Chen, J., Wen, Y., Pokojovy, M., Tseng, T. L. B., McCaffrey, P., Vo, A., ... & Moen, S. (2024). Multi-modal learning for inpatient length of stay prediction. Computers in Biology and Medicine, 171, 108121.
  5. Rahman, S. A., Rahman, M. F., Tseng, T. L. B., & Kamal, T. (2023, December). A simulation-based approach for line balancing under demand uncertainty in production environment. In 2023 winter simulation conference (WSC) (pp. 2020-2030). IEEE.
  6. Zhuang, Y., Rahman, M. F., Wen, Y., Pokojovy, M., McCaffrey, P., Vo, A., ... & Tseng, T. L. (2022). An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR. Journal of X-Ray Science and Technology, 30(5), 847-862.
  7. Rahman, M. F., Zhuang, Y., Tseng, T. L. B., Pokojovy, M., McCaffrey, P., Walser, E., ... & Vo, A. (2022). Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach. Journal of Visual Communication and Image Representation, 85, 103521.
  8. Renteria, A., Balcorta, V. H., Marquez, C., Rodriguez, A. A., Renteria-Marquez, I., Regis, J., ... & Lin, Y. (2022). Direct ink write multi-material printing of PDMS-BTO composites with MWCNT electrodes for flexible force sensors. Flexible and Printed Electronics, 7(1), 015001.
  9. Wen, Y., Rahman, M. F., Xu, H., & Tseng, T. L. B. (2022). Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective. Measurement, 187, 110276.
  10. Huang, Y. S., Ho, J. W., Hung, J. W., & Tseng, T. L. B. (2021). A customized warranty model by considering multi-usage levels for the leasing industry. Reliability Engineering & System Safety, 215, 107769.
  11. Renteria, A., Garcia, L. F., Balcorta, V. H., Ortiz, D., Delfin, L. C., Regis, J., ... & Lin, Y. (2021). Influence of bimodal particle distribution on material properties of BaTiO3 fabricated by paste extrusion 3D printing. Ceramics International, 47(13), 18477-18486.
  12. Rahman, M. F., Wu, J., & Tseng, T. L. B. (2021). Automatic morphological extraction of fibers from SEM images for quality control of short fiber-reinforced composites manufacturing. CIRP Journal of Manufacturing Science and Technology, 33, 176-187.
  13. Rahman, M. F., Tseng, T. L. B., Pokojovy, M., Qian, W., Totada, B., & Xu, H. (2021, February). An automatic approach to lung region segmentation in chest X-ray images using adapted U-Net architecture. In Medical Imaging 2021: Physics of Medical Imaging (Vol. 11595, pp. 894-901). SPIE.
  14. Huang, Y. S., Ho, J. W., Jian, H. J., & Tseng, T. L. B. (2021). Quantity discount coordination for supply chains with deteriorating inventory. Computers & Industrial Engineering, 152, 106987.
  15. Renteria-Marquez, I. A., Almeraz, C. N., Tseng, T. L. B., & Renteria, A. (2020, December). A Heijunka study for automotive assembly using discrete-event simulation: a case study. In 2020 Winter Simulation Conference (WSC) (pp. 1641-1651). IEEE.


Profile Details

https://hb2504.utep.edu/Home/Profile?username=btseng

https://scholar.google.com/citations?user=m5QJ4goAAAAJ&hl=en

https://www.linkedin.com/in/dr-bill-tseng-8820a726/

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