Personal profile
About
Dr. Abdur Rahman is an Assistant Professor of Industrial Engineering at Louisiana Tech University, where he directs the Intelligent Systems and Optimization (ISO) Lab. His research focuses on robust, explainable, and adaptive machine learning for industrial systems, with applications spanning manufacturing, agriculture, and healthcare. Dr. Rahman’s recent work includes developing domain-adaptation frameworks for biomass quality assessment, neural architecture search for transfer learning, and reinforcement learning-based time-series anomaly detection. He has contributed to multiple funded projects supported by USDA, DHS, NIH, and Cotton Incorporated, and his research has appeared in journals such as Expert Systems With Applications, Renewable and Sustainable Energy Reviews, Computers in Biology and Medicine, and Smart Agricultural Technology. Recently, Dr. Rahman's ISO Lab has secured funding from NSF and the Louisiana Board of Regents.
Education/Academic qualification
Industrial Engineering, PhD, Mississippi State University
Award Date: Aug 7 2025
Research Interests
- Robust and explainable AI
- Data heterogeneity
- Privacy-preserving analytics
- Human-AI interaction
- multimodal and collaborative learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production