Abdur Rahman is an Assistant Professor in the Industrial Engineering program at Louisiana Tech University, where he leads research on robust and adaptive machine learning for real-world decision-making under uncertainty. His work focuses on learning under distribution shift, domain generalization, and optimization-driven AI, with applications in manufacturing systems, healthcare analytics, and agricultural and biomass systems. He is particularly interested in bridging foundational machine learning theory with practical, deployable methods for complex, non-stationary environments. Through his research, he aims to develop trustworthy and resilient AI frameworks that can generalize across changing operational conditions.