Report summary

The 2015-2026 picture for Pennsylvania State University Department of Computer Science and Engineering is a 42-PI network with 38 internal PI collaborations. The research center of gravity is Computer Science as the leading field (40% of slots across 29 PIs; 29 labels), Artificial Intelligence as the leading subfield (17% of slots across 16 PIs; 16 labels), and Cloud Computing and Resource Management as the leading topic (3% of slots across 3 PIs; 3 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The top weighted PIs are Mahmut Kandemir (32.1 weighted works; Distributed and Parallel Computing Systems, Cloud Computing and Resource Management). The strongest pairings are Bhuvan Urgaonkar and George Kesidis (27 shared works, weight 8.1); Mahmut Kandemir and Vijaykrishnan Narayanan (19 shared works, weight 7.8). The standout breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 39.1, around Computer Networks and Communications, Information Systems, Artificial Intelligence, led by Mahmut Kandemir, Vijaykrishnan Narayanan, George Kesidis.