Rate My Professor Jiapan Guo

Jiapan Guo, PhD, is a Tenure Track Assistant Professor with education profile in the Faculty of Science and Engineering at the University of Groningen, affiliated with the Intelligent Systems group in the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. She earned her PhD from the University of Groningen, with her dissertation titled "Brain-inspired computer vision with applications to pattern recognition and computer-aided diagnosis of glaucoma." Prior to this appointment, Guo served as a researcher in the Machine Learning Lab at the Data Science Center in Health (DASH) and in the Department of Radiation Oncology at the University Medical Center Groningen (UMCG).

Her research centers on machine learning, pattern recognition, and medical image analysis, encompassing deep learning applications for outcome prediction in oropharyngeal cancer using PET/CT imaging, graph machine learning for static source code analysis, lightweight object detection models for agricultural tasks, and multimodal disinformation detection. Key publications include "PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer" (Radiotherapy and Oncology, 2025), "The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients" (Physics and Imaging in Radiation Oncology, 2025), "A systematic mapping study on graph machine learning for static source code analysis" (Information and Software Technology, 2025), "A lightweight SOD-YOLOv5n model-based winter jujube detection and counting method deployed on Android" (Computers and Electronics in Agriculture, 2024), and "Automatic pulmonary nodule detection in CT scans using convolutional neural networks based on maximum intensity projection" (IEEE Transactions on Medical Imaging, 2019). With 39 research outputs and over 1,000 citations, her contributions significantly impact AI in healthcare and imaging. Guo co-leads the NextGenOffshore Project, selected as one of the ENLIGHT 2025 Call Winners, and aligns her work with SDG 3: Good Health and Well-being.