Report summary

For University at Buffalo, State University of New York Department of Computer Science and Engineering in 2015-2026, the graph shows 61 visible PIs and 82 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (40% of slots across 45 PIs; 45 labels), Computer Networks and Communications as the leading subfield (10% of slots across 16 PIs; 16 labels), and Advanced Malware Detection Techniques as the leading topic (3% of slots across 6 PIs; 6 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Murali Ramanathan (48.7 weighted works; Multiple Sclerosis Research Studies, Systemic Lupus Erythematosus Research). The most visible ties are Swetank Kumar Saha and Dimitrios Koutsonikolas (22 shared works, weight 15.7). The standout breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 40.9, around Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, led by Wenyao Xu, Chunming Qiao, Kui Ren; group 2 with 7 PIs, 8 internal connections, weight 30.2, around Signal Processing, Computer Networks and Communications, Aerospace Engineering, led by Souma Chowdhury, Karthik Dantu, Oliver Kennedy.