Report summary

The 2015-2026 picture for University of North Carolina at Chapel Hill Department of Computer Science is a 89-PI network with 107 internal PI collaborations. The main research signal is Computer Science as the leading field (39% of slots across 58 PIs; 58 labels), Computer Vision and Pattern Recognition as the leading subfield (16% of slots across 33 PIs; 33 labels), and Real-Time Systems Scheduling as the leading topic (3% of slots across 8 PIs; 8 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Dinggang Shen (215.1 weighted works; Functional Brain Connectivity Studies, Medical Image Segmentation Techniques). The clearest collaboration lines are Dinggang Shen and Pew‐Thian Yap (174 shared works, weight 87.2). The leading breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 234.9, around Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, led by Dinggang Shen, Pew‐Thian Yap, Martin Styner; group 2 with 10 PIs, 10 internal connections, weight 44.5, around Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, led by Dinesh Manocha, Zherong Pan, Carl Schissler.