Jinghao Zhou

Jinghao Zhou is an Associate Professor with expertise in Medical Physics, Image Analysis, and Computational Modeling. His work focuses on advancing artificial intelligence and machine learning techniques for clinical applications, particularly in radiation oncology and medical imaging.

• Primary affiliation: Radiation Oncology Education and Training

Education: Bachelor's in Biomedical Engineering from Tsinghua University (1998), Master's in Statistics (2006), and PhD in Biomedical Engineering (2008) from Rutgers University.

Research highlights include the development of novel computer-aided cancer detection tools, segmentation algorithms, and radiotherapy software systems. His publications demonstrate a consistent application of deep learning and encoder-decoder architectures to address challenges in thoracic CT analysis and radiation-induced lung damage quantification.

He has served as co-investigator on state- and industry-funded grants, emphasizing interdisciplinary collaboration with physicians and researchers. While no explicit awards are listed, his peer-reviewed publications and grant involvement reflect recognition in medical imaging and radiotherapy domains.