Md Fashiar Rahman is an 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, computational intelligence/data analytics, and computer modeling/simulations.

• Ph D in Computational Science, The University of Texas at El Paso (2021)
• MS in Computational Science, The University of Texas at El Paso (2018)
• BS in Industrial and Production Engineering, Khulna University of Engineering and Technology (2011)

• An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology 30 5 (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
• 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.
• Smart Manufacturing for Underserved Workforce Development American Society for Engineering Education (2022), Amit Lopes, Ivan Renteria, Fashiar Rahman, Bill Tseng, Sergio Luna.
• 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 (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo.
• 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.
• A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection Artificial Intelligence for Engineering Design, Analysis and Manufacturing 36 (2022), Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Jianguo Wu, Yuxin Wen, Yirong Lin.
• Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective Measurement 187 (2022), Yuxin Wen, Md Fashiar Rahman, Honglun Xu, Tzu-Liang (Bill) Tseng.
• 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.
• An automatic approach to lung region segmentation in chest x-ray images using adapted U-Net architecture SPIE (2021), Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Wei Qian, Basavarajaiah Totada, Honglun Xu.
• Automated Fiber Extraction From SEM Images With Application to Quality Control of Fiber-Reinforced Composites Manufacturing American Society of Mechanical Engineers (2018), Md Fashiar Rahman, Jianguo Wu, Tzu-Liang (Bill) Tseng.

• Exploring the Quality of Course Deployment in Engineering Education: A Quantitative Assessment using Quality Function Deployment (2022), Volume Minneapolis, Minnesota, Md Fashiar Rahman.
• Improving Lung Region Segmentation Accuracy in Chest X-Ray Images Using a Two-Model Deep Learning Ensemble Approach (2022), Volume Galveston, TX, Md Fashiar Rahman.
• Leveraging the Artificial Intelligence (AI) Capabilities in Manufacturing with Application of Quality Control (2022), Volume El Paso, TX, Md Fashiar Rahman.
• Artificial Intelligence for Industrial and Healthcare Applications (2022), Volume WSMR, NM, Md Fashiar Rahman.
• Dimensional Accuracy Prediction for Shape Memory Polymer Using Artificial Neural Networks (2021), Volume Rome, Italy (Online), Md Fashiar Rahman.
• An Automatic Approach to Lung Region Segmentation in Chest X-Ray Images Using Adapted U-Net Architecture (2021), Volume Online, Md Fashiar Rahman.
• Automated Fiber Extraction From SEM Images With Application to Quality Control of Fiber-Reinforced Composites Manufacturing (2018), Volume College Station, TX, USA, Md Fashiar Rahman.

• Enhancing Career Pathway in Intelligent Manufacturing Through Remote Accelerated Center of Engineering Student Success
• Student Engagement and Training in Healthcare Engineering with Advanced Data-Analytics Solutions