Md Fashiar Rahman is a Research Assistant Professor with the Industrial, Manufacturing, and Systems Engineering (IMSE) Department at the University of Texas at El Paso. He received his Ph.D., and M.S. degrees in Computational Science in 2021 and 2018, respectively. He has worked on a number of projects in the field of image data mining, machine learning, and deep learning for industrial and healthcare applications. His research area covers advanced quality technology, AI application in health care, smart manufacturing, and computational intelligence/data analytics

• Ph D in Computational Science, The University of Texas at El Paso (2021)

• Time-to-event modeling for hospital length of stay prediction for COVID-19 patients Machine Learning with Applications 9 (2022), Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric M. Walser, Scott Moen, Tzu-Liang (Bill) Tseng.
• An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
• Improving Lung Region Segmentation Accuracy in Chest X-Ray Images Using a Two-Model Deep Learning Ensemble Approach Journal of Visual Communication & Image Representation (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric M. Walser, Alexander Vo, Scott Moen.
• 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 (2021), Md Fashiar Rahman, Jianguo Wu, Tzu-Liang (Bill) Tseng.

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