Report summary

For Georgia Institute of Technology Computer Science in 2024-2026, the graph shows 18 visible PIs and 0 internal PI collaborations. The dominant subject mix is Engineering as the leading field (50% of slots across 3 PIs; 3 labels), Electrical and Electronic Engineering as the leading subfield (33% of slots across 3 PIs; 3 labels), and Advanced Queuing Theory Analysis as the leading topic (11% of slots across 1 PIs; 1 labels). That is of concern, because the roster has names but no visible internal collaboration structure. The top weighted PIs are Yongan Zhang (2.3 weighted works; no topic labels). No internal PI-to-PI collaboration edge is visible in this period. No multi-PI collaboration group is visible in this period, a concerning sign if the department expects a connected internal network.