Report summary

Vanderbilt University Department of Electrical Engineering and Computer Science in 2015-2026 reads as a 73-PI network with 155 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (22% of slots across 32 PIs; 32 labels), Artificial Intelligence as the leading subfield (9% of slots across 16 PIs; 16 labels), and Advanced MRI Techniques and Applications as the leading topic (2% of slots across 5 PIs; 5 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 22 PIs across distinct clusters. The leading PI names are Bennett A. Landman (50.4 weighted works; Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications); Yuankai Huo (50 weighted works; AI in cancer detection, Cell Image Analysis Techniques). The most visible ties are Bennett A. Landman and Yuankai Huo (134 shared works, weight 68.8). The leading breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 75.8, around Artificial Intelligence, Computer Networks and Communications, Health Informatics, led by You Chen, Bradley Malin, Xenofon Koutsoukos.