Klaus Mueller

About

Klaus Mueller is a Professor in the Computer Science Department at Stony Brook University and a senior scientist at Brookhaven National Lab. He received his PhD from The Ohio State University in 1998. His research interests include visual analytics, explainable AI, machine learning, data science, human-centered responsible AI, fairness, belief modeling, virtual and augmented reality, and computational and medical imaging. He has authored over 300 peer-reviewed papers and is a Fellow of the IEEE.

Education

• Ph.D. Computer Science, The Ohio State University, 1998

Selected publications

• MisVisFix: An Interactive Dashboard for Detecting, Explaining, and Correcting Misleading Visualizations using Large Language Models
• What is the Color of Serendipity? Investigating the Use of Language Models for Semantically Resonant Color Generation
• Charts-of-Thought: Enhancing LLM Visualization Literacy Through Structured Data Extraction
• Semantic Pathway: An Interactive Visualization of Hidden States and Token Influence in LLMs
• XplainAct: Visualization for Personalized Intervention Insights
• CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
• Into the Void: Mapping the Unseen Gaps in High Dimensional Data
• Leveraging Large Language Models for Personalized Public Messaging
• FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
• Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations