Qiu Huang received her Ph.D. degree in Electrical Engineering from the University of Utah and postdoctoral training at the Lawrence Berkeley National Laboratory. Since July 2009, she has been with the School of Biomedical Engineering, Shanghai Jiao Tong University, and is now a tenure track Associate Professor. She is also an Adjunct “Guangci” professor at the Department of Nuclear Medicine, Ruijin Hospital.

Dr. Huang has been the principal investigator in research projects funded by the Ministry of Science and Technology and National Natural Science Foundation of China. She has co-authored more than 100 scientific papers and 25 patents. Her research interests involve (1) nuclear medicine imaging instrumentation design, for instance, PET systems and SPECT systems with high performance; (2) imaging algorithm design, such as the image reconstruction algorithms in nuclear medicine imaging, and kinetic modeling in dynamic PET and SPECT for early diagnosis of diseases; (3) image processing and analysis, for example deep learning methods in image segmentation and radiomics analysis to solve clinical problems.

1993-1997 Bachelor- JiangSu University

1997-2000 Master- JiangSu University

2001-2006 Ph.D. - University of Utah

2007-2009 Postdoctoral - Lawrence Berkeley National Laboratory

2000-2001, Software Engineer, Unisplendour Corporation Limited

2009-2015, Associate Research Professor, School of Biomedical Engineering, Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University,

2016-present, Associate Professor, School of Biomedical Engineering, Shanghai Jiao Tong University

2019-present, “Guangci” professor, Ruijin Hospital

The inverse problems in Medical Imaging, including reconstruction algorithms (both analytical and iterative algorithms) for SPECT/PET/CT, Ultrasound vector tomography, and MRI diffusion tensor tomography.

Nuclear Medicine Imaging Instrumentation

SPECT system development, collimator design, PET system development 

Medical Image Processing and Analysis

Kinetic modeling, statistical modeling, segmentation, registration