Report summary

The 2015-2026 picture for The Ohio State University Department of Computer Science and Engineering is a 90-PI network with 66 internal PI collaborations. The main research signal is Computer Science as the leading field (44% of slots across 67 PIs; 67 labels), Artificial Intelligence as the leading subfield (13% of slots across 25 PIs; 25 labels), and Distributed and Parallel Computing Systems as the leading topic (4% of slots across 10 PIs; 10 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Dhabaleswar K. Panda (30 weighted works; Artificial Intelligence in Healthcare, Scientific Computing and Data Management). The clearest collaboration lines are Dhabaleswar K. Panda and Xiaoyi Lu (57 shared works, weight 35). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 23.1, around Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, led by Ness B. Shroff, Christopher Stewart, Zhiqiang Lin; group 2 with 8 PIs, 8 internal connections, weight 60.9, around Computer Networks and Communications, Artificial Intelligence, Molecular Biology, led by Dhabaleswar K. Panda, Xiaoyi Lu, Nusrat Sharmin Islam.