Douglas A. Talbert

Douglas A. Talbert is a Professor of Computer Science at Tennessee Tech University. He holds a Ph.D. and M.S. in Computer Science from Vanderbilt University, and a B.S. in Mathematics from Tennessee Tech University. His research focuses on machine learning, human-AI interaction, uncertainty quantification, and healthcare informatics, with applications in clinical decision support systems. He has also contributed to software engineering and human-computer interaction in teaching.

His research interests include developing explainable AI models, mitigating bias in machine learning systems, and applying AI to environmental monitoring and biomedical datasets. He has explored topics such as subgroup discovery in sequential databases, scalable reinforcement learning, and anomaly detection in industrial systems.

His recent publications highlight advancements in uncertainty quantification for medical models, bias analysis in trauma triage, and semantic segmentation using multispectral satellite imagery. Notable collaborations include work on counterfactual explanations, drug repurposing for rare diseases, and trust-building techniques in biomedical machine learning.

Talbert has co-authored numerous papers in conferences like FLAIRS and IEEE, often focusing on practical AI applications. His work bridges theoretical machine learning with real-world challenges in healthcare, cybersecurity, and environmental science.