Klaus Mueller Professor Director, Visual Analytics and Imaging (VAI) Lab Liaison, SUNY Korea CS Program Acting Chair, Department of Tech and Society Center for Visual Computing Computer Science Department Stony Brook University - State University of New York Contact: mueller@cs.stonybrook.edu

I received a PhD in computer science from The Ohio State University in 1998. I am currently a professor in the Computer Science Department at Stony Brook University and I am also a senior scientist at the Computational Science Initiative at Brookhaven National Lab. I currently serve as the acting chair of the Department of Tech and Society. From 2012-2015, I served as the founding chair of the Computer Science Department at SUNY Korea and I was also VP for Academic Affairs and Finance at SUNY Korea for two years. My current main research interests are visual analytics, explainable machine learning and AI, algorithmic fairness and transparency, data science and computational and medical imaging. I won the US National Science Foundation Early Career award in 2001, the SUNY Chancellor Award for Excellence in Scholarship and Creative Activity in 2011, and the Meritorious Service Certificate and the Golden Core Award of the IEEE Computer Society in 2016. In 2018 I was inducted into the US National Academy of Inventors. To date, I have authored more than 300 peer-reviewed journal and conference papers, which have been cited more than 13,000 times. I am a frequent speaker at international conferences, have organized or participated in 18 tutorials on various topics, chaired the IEEE Visualization Conference in 2009, was the elected chair of the IEEE Technical Committee on Visualization and Computer Graphics (VGTC) from 2012-2015, and served as the Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics from 2019-2022. I am a Fellow of the IEEE. (Please see here for a bio in the third person and here is a real pic of me).

	Visual analytics -- Visualization, visual data science, visual storytelling, explainable AI, infovis, HCI
	Computational fairness: Human in the loop bias detection, exploration, and mitigation
	Computational imaging -- Computed tomography, low-dose, GAN-synthesis, GPU-acceleration
	Volume visualization -- Medical and scientific visualization, multivalued data w/geo-reference
	Virtual reality -- Virtual, augmented, mixed reality, display walls, immersive visualization
	Cognitive computer graphics -- Color, texture, details, points, perception, cognition, semiotics
	Filters and grids -- Sampling, hexagonal amd body-centerered lattices, extensions to N-D
	Eyetracking -- Visualization for eye tracking data, acquisition, applications
	Natural phenomena -- Simulation, urban security applications,GPU-acceleration
	Face recognition (this is no longer an active research topic)
	All my publications via Google Scholar