Report summary

Michigan State University Department of Electrical and Computer Engineering in 2015-2026 reads as a 81-PI network with 102 internal PI collaborations. The dominant subject mix is Engineering as the leading field (38% of slots across 52 PIs; 52 labels), Biomedical Engineering as the leading subfield (11% of slots across 20 PIs; 20 labels), and Advanced Sensor and Energy Harvesting Materials as the leading topic (3% of slots across 6 PIs; 6 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 30 PIs across distinct clusters. The leading PI names are Guo‐Wei Wei (98.9 weighted works; Computational Drug Discovery Methods, Protein Structure and Dynamics). The most visible ties are Peng Zhang and John Verboncoeur (59 shared works, weight 28.4). The leading breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 50.9, around Biomedical Engineering, Artificial Intelligence, Computational Theory and Mathematics, led by Mohamed Abouhawwash, Kalyanmoy Deb, Xiaobo Tan.