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)

• Machine-Learning-Enabled Diagnostics with Improved Visualization of Disease Lesions in Chest X-ray Images Diagnostics (2024), Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho.
• Empowering Quality Excellence: A 10-Day Quality Engineering Boot Camp for Accelerated Learning 2024 ASEE Annual Conference & Exposition (2024), Jakia Sultana, Md Fashiar Rahman, Christopher Colaw, Tzu-Liang (Bill) Tseng.
• Virtual Reality Robotics with Internet-of-Things for Student Learning on Industrial Robotics and Automation in Manufacturing 2024 ASEE Annual Conference & Exposition (2024), Richard Chiou, Tzu-Liang (Bill) Tseng, Md Fashiar Rahman.
• 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.

• 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.

• Empowering Underrepresented Minorites Through Applied Artificial Intelligence Education with Enhanced Access and Success in Engineering (10/01/2024 - 09/30/2027) U.S. Department of Education
• Travel Support for the 2025 American Society for Engineering Education (ASEE) Annual Conference and Expo (12/01/2024 - 11/30/2025) NationalScienceFoundation
• Foreign Object Debris - Phase 3 (09/11/2023 - 05/31/2024) Lockheed Martin Aeronautics
• A Smart Manufacturing Implementation and Workforce Development Playbook for Underserved Small Medium Manufacturers (07/01/2023 - 12/31/2023) US Department of Energy Through University of California, Los Angeles