Klaus Mueller

Klaus Mueller is a Professor in the Computer Science Department at Stony Brook University, with additional appointments in Biomedical Engineering and Radiology. He serves as Director of the Visual Analytics and Imaging (VAI) Lab, Liaison for the SUNY Korea CS Program, and Interim Chair of the Department of Technology and Society. His career spans roles at Brookhaven National Lab and leadership positions at SUNY Korea.

Dr. Mueller earned his PhD in Computer and Information Science (1998), MS in Computer and Information Science (1996), and MS in Biomedical Engineering (1990) from The Ohio State University, alongside a BS in Electrical Engineering (1987) from the Polytechnic University of Ulm, Germany.

His research focuses on visual analytics, explainable AI, algorithmic fairness, computational imaging, and medical imaging. He has pioneered GPU-accelerated CT reconstruction techniques, bias mitigation frameworks (e.g., D-BIAS), and tools like DOMINO for causal reasoning. His work bridges data science, human-computer interaction, and medical applications, often integrating large language models for visualization tasks.

Recent publications highlight advances in multivariate volume rendering, LLM-driven bias detection, and mDDPM-based medical image synthesis. His articles span IEEE Transactions, Nature Machine Intelligence, and conferences like IEEE VIS and ACM CHI.

Award highlights include NSF CAREER (2000), SUNY Chancellor Award (2011), IEEE Golden Core Award (2016, 2022), induction into the National Academy of Inventors (2018), and elevation to IEEE Fellow (2024). He has chaired major conferences and served as Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2019-2022).

He teaches graduate and undergraduate courses in visualization, medical imaging, and GPGPU programming, and leads the Visual Analytics Seminar (CSE 648). His lab (VAI Lab) fosters interdisciplinary research in GPU-accelerated analytics and ethical AI.