Professor Klaus Mueller, from the Department of Computer Science at Stony Brook University, has been recognized by the Institute of Electrical and Electronics Engineers (IEEE) Board of Directors as a 2024 IEEE Fellow for contributions in image reconstruction and visualization. This is a tremendous achievement as less than 0.1 percent of the voting members are selected for this honor.
IEEE is a professional organization dedicated to the advancement of technology for the benefit of humanity. Mueller has been active on IEEE initiatives since 2001 and has served in several capacities and committees throughout the years. After serving as chair of the IEEE Computer Science Technical Committee on Visualization and Computer Graphics from 2012 to 2015, he was awarded with the IEEE Computer Science Golden Core Award and the IEEE Computer Society Meritorious Service Certification in 2016.
Commenting on his recent recognition, Mueller said, “I am thankful for all of the support I have received from the chairs of the computer science department. When I joined IEEE, I never dreamed I would reach this kind of level.”
Mueller’s interests lie in medical imaging, visualization, visual analytics, explainable AI and high performance computing. He received his PhD in computer science from The Ohio State University in 1998 and served as the founding chair of SUNY Korea’s Department of Computer Science as well as vice president for Academic Affairs and Finance at SUNY Korea. Mueller is currently interim chair for the Department of Technology and Society at Stony Brook University and a senior scientist at Brookhaven National Lab.
As a leader in the IEEE community, Mueller has made multiple contributions. One of these is his 2002 paper on image colorization, which is known as the earliest paper on the topic. In the paper, he was the first to develop a pioneering machine-learning method that colorized a gray-level pixel based on the gray-level statistics of its neighborhood.
Noteworthy in this context is also his pioneering effort in the use of high-performance commodity graphics hardware, which was used mainly to accelerate computer games and for compute-intensive scientific applications, such as computed tomography (CT) reconstruction in medical and industrial CT. Mueller wrote a series of groundbreaking papers that advanced commodity graphics hardware to its now mainstream use.
— Kimberly Xiao