MinerAlert
Department: Industrial, Manufacturing and Systems Engineering
Dr. Md Fashiar Rahman is an Assistant Professor in the Department of Industrial, Manufacturing, and Systems Engineering (IMSE) at The University of Texas at El Paso. He earned his Ph.D. (2021) and M.S. (2018) in Computational Science, with a strong research background in image data mining, machine learning, and deep learning, particularly in industrial and healthcare applications. His expertise spans data analytics, computer modeling and simulation, artificial intelligence in healthcare, smart manufacturing, computational intelligence, and advanced quality technology. Dr. Rahman’s research has received funding from various prestigious agencies, including the National Science Foundation (NSF), the U.S. Department of Education, and Lockheed Martin. His scholarly work has been widely published in peer-reviewed journals and conferences, including Biomedical Signal Processing and Control, Diagnostics, Journal of Systems Science, Journal of X-Ray Science and Technology, Journal of Visual Communication and Image Representation, CIRP Manufacturing Letters, Winter Simulation Conference, ASEE, and IISE Annual Conference and Expo, among others. Beyond his research and academic contributions, Dr. Rahman has played an active leadership role in the professional community. He has served as Secretary, Program Chair, and Division Chair of the Manufacturing Division of the American Society for Engineering Education (ASEE), further demonstrating his commitment to advancing engineering education and research.
Other Affiliations: Computational Science Program, RIMES
Keywords of Expertise: Intelligence Manufacturing, Big Data Analytics, Modeling and Simulation, Intelligent Supply Chain, Healthcare Systems.