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Report summary

The 2024-2026 picture for Texas A&m University Department of Electrical and Computer Engineering is a 34-PI network with 9 internal PI collaborations. The main research signal is Engineering as the leading field (37% of slots across 24 PIs; 24 labels), Biomedical Engineering as the leading subfield (14% of slots across 12 PIs; 12 labels), and Smart Grid Security and Resilience as the leading topic (4% of slots across 4 PIs; 4 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The leading PI names are Arum Han (10 weighted works; Innovative Microfluidic and Catalytic Techniques Innovation, Electrowetting and Microfluidic Technologies); Zubair Saeed (9.8 weighted works; Cardiac electrophysiology and arrhythmias, Neural Networks and Applications). The clearest collaboration lines are Byung-Jun Yoon and Xiaoning Qian (13 shared works, weight 6.3). The leading breakdown groups are group 1 with 4 PIs, 4 internal connections, weight 8.9, around Molecular Biology, Biomedical Engineering, Artificial Intelligence, led by Byung-Jun Yoon, Xiaoning Qian, Hangue Park.

Texas A&m Electrical and Computer Engineering Faculty Co-authorship Network - 34 PIs, 9... | ProfessorNet