Dr. Md Fashiar Rahman currently serves as an Assistant Professor within the Department of Industrial, Manufacturing, and Systems Engineering (IMSE) at The University of Texas at El Paso. He obtained his Ph.D. and M.S. degrees in Computational Science in 2021 and 2018, respectively. Dr. Rahman's professional journey has been marked by substantial contributions to image data mining, machine learning, and deep learning within the realms of industrial and healthcare applications. His research expertise encompasses data analytics, computer modeling and simulations, artificial intelligence in healthcare, smart manufacturing, computational intelligence, and advanced quality technology.

• 2nd Place in FlexSim Student Competition at the Healthcare Systems Process Improvement (HSPI) - 2024 Conference - HSPI/FlexSim (02/15/2024)
• 2023 Outstanding Junior Faculty Award - American Society of Engineering Education (06/28/2023)

• 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)

• A simulation-based Approach for Line Balancing Under Demand Uncertainty in Production Environment IEEE (Winter Simulation Conference 2023) (2024), S M Atikur Rahman, Md Fashiar Rahman, Tamanna Kamal, Tzu-Liang (Bill) Tseng.
• Smart Manufacturing for Underserved Workforce Development American Society for Engineering Education (2023), Amit Lopes, Ivan Renteria, Fashiar Rahman, Bill Tseng, Sergio Luna.
• Exploring Student Learning Experience of Systems Engineering Course Developed for Manufacturing and Industrial Engineering Graduates 2023 ASEE Annual Conference & Exposition (2023), Aditya Akundi, Immanuel Edinbarough , Md Fashiar Rahman, Amit J. Lopes, Sergio Luna.
• Exploring Systems Performance Using Modeling and Simulation – Project-based Study and Teaching 2023 ASEE Annual Conference & Exposition (2023), Md Fashiar Rahman, Aditya Akundi, Jakia Sultana, Tzu-Liang (Bill) Tseng, Amit J. Lopes, Sergio Luna.
• Implementation and Assessment of an Integrated Extended Reality Renewable Energy Laboratory for Enhanced Learning 2023 ASEE Annual Conference & Exposition (2023), Irina Nicoleta C. Husanu, Richard Chiou, Md Fashiar Rahman.
• β-Glucan-Mediated Oral Codelivery of 5FU and Bcl2 siRNA Attenuates Stomach Cancer ACS Applied Materials and Interface (2023), Humayra Afrin, Stephane Vargas Esquivel, Raj Kumar, Md Ikhtiar Zahid, Beu Oporeza, Md Fashiar Rahman, Thomas Boland, Md Nurunnabi.
• A simulation-based optimization approach to improve the performance of the healthcare systems - A case study on the emergency department Institute of Industrial and Systems Engineering (IISE) - 2023 (2023), Md Fashiar Rahman, Briana Cardenas, Tzu-Liang (Bill) Tseng, Honglun Xu.
• 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.
• Estimation of fuel consumption and selection of the most carbon-efficient route for cold-chain logistics International Journal of Systems Science: Operations & Logistics (2022), Md. Habibur Rahman, Md Fashiar Rahman, 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 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.

• Exploring Systems Performance Using Modeling and Simulation–Project-based Study and Teaching (2023), Volume Baltimore, Maryland, Md Fashiar Rahman.
• A simulation-based optimization approach to improve the performance of the healthcare systems-A case study on the emergency department (2023), Md Fashiar Rahman.
• A risk-free way to explore systems using computer simulation and artificial intelligence (2023), Volume UTEP, Md Fashiar Rahman.
• 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.

• Foreign Object Debris - Phase 3
• A Smart Manufacturing Implementation and Workforce Development Playbook for Underserved Small Medium Manufacturers
• 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