Shanshan Guo

Shanssan Guo is an academic affiliated with Northeastern University in Shenyang, China. Her research focuses on interdisciplinary areas including discrete mathematics, healthcare informatics, operations research, and machine learning. She has co-authored numerous papers in reputable journals such as Discrete Mathematics, IEEE Transactions on Neural Networks, and Information Technology & People. Key research interests include graph theory applications, optimization algorithms, and healthcare technology adoption.

Her work spans theoretical contributions (e.g., edge-colored graph cycle analysis) to applied domains like medical imaging reconstruction, cargo stowage optimization, and physician incentive mechanisms in online platforms. Collaborations with industry experts and cross-disciplinary teams highlight her commitment to bridging theory and practice.

Publications demonstrate expertise in queueing theory models for resource allocation, reinforcement learning for energy systems, and biomedical data analysis frameworks. Despite prolific output, no specific awards or student mentoring details are explicitly noted in available records.