Report summary

For University of Minnesota Department of Electrical and Computer Engineering in 2024-2026, the graph shows 18 visible PIs and 9 internal PI collaborations. The dominant subject mix is Engineering as the leading field (22% of slots across 9 PIs; 9 labels), Electronic, Optical and Magnetic Materials as the leading subfield (13% of slots across 6 PIs; 6 labels), and Advanced Biosensing Techniques and Applications as the leading topic (6% of slots across 3 PIs; 3 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The top weighted PIs are Jian‐Ping Wang (8 weighted works; Magnetic properties of thin films, Advanced Memory and Neural Computing); Keshab K. Parhi (7.9 weighted works; Digital Filter Design and Implementation, EEG and Brain-Computer Interfaces). The most visible ties are Jian‐Ping Wang and Tony Low (6 shared works, weight 3.3). The standout breakdown groups are group 1 with 7 PIs, 8 internal connections, weight 8.3, around Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, led by Jian‐Ping Wang, Sachin S. Sapatnekar, Steven J. Koester.