Report summary

For Princeton University Department of Electrical Engineering in 2024-2026, the graph shows 3 visible PIs and 0 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (33% of slots across 2 PIs; 2 labels), Artificial Intelligence as the leading subfield (29% of slots across 2 PIs; 2 labels), and Advanced Fiber Laser Technologies 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 H. Vincent Poor (24.9 weighted works; Privacy-Preserving Technologies in Data, Wireless Communication Security Techniques). 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.