Report summary

The 2015-2017 picture for University of Queensland School of Electrical Engineering and Computer Science is a 2-PI network with 0 internal PI collaborations. The research center of gravity is Computer Science as the leading field (50% of slots across 1 PIs; 1 labels), Computer Networks and Communications as the leading subfield (33% of slots across 1 PIs; 1 labels), and Advanced Malware Detection Techniques as the leading topic (33% of slots across 1 PIs; 1 labels). That is a weak collaboration signal, so the page is better read as a faculty inventory than as evidence of a connected department. The top weighted PIs are Neil Bergmann (3.8 weighted works; IoT and Edge/Fog Computing, Vehicular Ad Hoc Networks (VANETs)). 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.