Report summary

The 2015-2017 picture for Columbia University Department of Computer Science is a 19-PI network with 2 internal PI collaborations. The research center of gravity is Computer Science as the leading field (45% of slots across 13 PIs; 13 labels), Artificial Intelligence as the leading subfield (16% of slots across 6 PIs; 6 labels), and Advanced Numerical Analysis Techniques as the leading topic (4% of slots across 2 PIs; 2 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The top weighted PIs are Fang-Hsiang Su (6.2 weighted works; Software Engineering Research, Advanced Malware Detection Techniques). The strongest pairings are Fang-Hsiang Su and Simha Sethumadhavan (4 shared works, weight 2.6). The standout breakdown groups are group 1 with 2 PIs, 1 internal connections, weight 2.6, around Information Systems, Artificial Intelligence, Signal Processing, led by Fang-Hsiang Su, Simha Sethumadhavan.