Report summary

The 2018-2020 picture for University of Minnesota Department of Electrical and Computer Engineering is a 30-PI network with 25 internal PI collaborations. The main research signal is Engineering as the leading field (36% of slots across 23 PIs; 23 labels), Biomedical Engineering as the leading subfield (16% of slots across 12 PIs; 12 labels), and Advanced biosensing and bioanalysis techniques as the leading topic (6% of slots across 5 PIs; 5 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Jian‐Ping Wang (41.5 weighted works; Magnetic properties of thin films, Characterization and Applications of Magnetic Nanoparticles). The clearest collaboration lines are Bethanie J. H. Stadler and Mohammad Reza Zamani Kouhpanji (13 shared works, weight 9.8). The leading breakdown groups are group 1 with 10 PIs, 15 internal connections, weight 22.4, around Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, led by Jian‐Ping Wang, Sang‐Hyun Oh, Tony Low.