Klaus Mueller

Professor

Stony Brook University

United States

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Professor Klaus Mueller is a faculty member at Stony Brook University, USA. His research areas include high-dimensional data analysis, bias mitigation in datasets for AI fairness, and enhanced user experiences in extended reality (XR) environments. Recent publications reflect his focus on innovative methodologies such as multi-conditioned denoising diffusion models and interactive data visualization techniques.

Articles (18)

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2025

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2022

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2022

Collaborators (4)

Saeed Boorboor

Assistant Professor

University of Illinois Chicago (UIC)

UNITED STATES

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Ge Wang

Clark & Crossan Endowed Chair Professor

Rensselaer Polytechnic Institute

UNITED STATES

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Pingkun Yan

P.K. Lashmet Chair Professor and Department Head of Biomedical Engineering

Rensselaer Polytechnic Institute

UNITED STATES

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Jian Zhao

University of Waterloo

CANADA

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Klaus Mueller

Research Interests

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Articles (18)

Explainable XR: Understanding User Behaviors of XR Environments Using LLM-Assisted Analytics Framework

Guided synthesis of annotated lung CT images with pathologies using a multi-conditioned denoising diffusion probabilistic model (mDDPM)

Into the Void: Mapping the Unseen Gaps in High Dimensional Data

GroupView: A Visual Framework for Exploring Group Membership Dynamics over Time

FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness

Image factory: A method for synthesizing novel CT images with anatomical guidance

Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations

DRCmpVis: Visual Comparison of Physical Targets in Mobile Diminished and Mixed Reality

Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associations

Graphical Enhancements for Effective Exemplar Identification in Contextual Data Visualizations

Farewell and New EIC Introduction

Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associations

RadVolViz: An Information Display-Inspired Transfer Function Editor for Multivariate Volume Visualization

Development of metaverse for intelligent healthcare

Infographics Wizard: Flexible Infographics Authoring and Design Exploration

Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making

Message from the Editor-in-Chief and from the Associate Editor-in-Chief

IEEE VR 2022 Introducing the Special Issue

Collaborators (4)

Saeed Boorboor

Ge Wang

Pingkun Yan

Jian Zhao

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