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.

• Flywheel for Medical Imaging Research (2024), Volume Portland, Oregon, Md Fashiar Rahman.
• Industrial Intelligence, AI, and Data Analytics in Manufacturing (2024), Volume Drexel University (Online), Md Fashiar Rahman.
• 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.

• 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