Fei Gao, Assistant Professor

Fei Gao, Assistant Professor

Tel:  (021) 20685379
Email: gaofei@@shanghaitech.edu.cn
Office: Room 1D-301A, SIST Building
Major: EE
Website: http://www.hislab.cn/
Education: Ph.D., Nanyang Technological University, Singapore
Fei Gao Research Group Recruitment (Click Here)

RESEARCH INTERESTS

  • Emerging hybrid imaging technology: photoacoustic imaging

  • Medical sensing/imaging circuits and system design

  • Deep learning and computer vision in emerging medical applications


BIOGRAPHY

Fei Gao is currently the Deputy director of Public Relation and Collaboration Committee.

Dr. Gao received his bachelor degree in Microelectronics from Xi’an Jiaotong University in 2009, and PhD degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore in 2015. He joined School of Information Science and Technology, ShanghaiTech University as an assistant professor in Jan. 2017, and established Hybrid Imaging System Laborotary. During his PhD study, he has received Integrated circuits scholarship from Singapore government, and Chinese Government Award for Outstanding Self-financed Students Abroad (2014). His PhD thesis was selected as Springer Thesis Award 2016. He worked as postdoctoral researcher in Nanyang Technological University and Stanford University in 2015-2016. He has published about 50 journal papers on top journals, such as Sci. Rep., Adv. Func. Mat., Nano Energy, Small, Nanoscale, Photoacoustics, APL, JAP, OL, OE, JBiop, Med. Phys., IEEE TBME, IEEE TMI, IEEE JSTQE, IEEE TCASII, IEEE Sens. J., IEEE Photon. J., IEEE Sens. Lett., ACS Sens., APL Photon. He also has more than 50 top conference papers published in MICCAI, ISBI, ISCAS, BioCAS, EMBC, IUS etc. He has one paper selected as oral presentation in MICCAI2019 (53 out of 1700 submissions). In 2017, he was awarded the Shanghai Eastern Scholar Professorship. In 2018, he received excellent research award from ShanghaiTech University. As PI, he received research grant from NSFC. His interdisciplinary research topics include hybrid imaging physics, biomedical and clinical applications, as well as biomedical circuits, systems and algorithm design. In 2019, his lab has established technology transfer regulations and fund, accelerating the commercialization of research outcome.


SELECTED PUBLICATIONS

  1. Hengrong Lan, Daohuai Jiang, Chuangchun Yang, and Fei Gao, “Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo”, arXiv: 1908.00975, 2019.

  2. Siyu Liu, Kai Tang, Xiaohua Feng, Haoran Jin, Fei Gao and Yuanjin Zheng, “Towards point-of-care healthcare: a miniaturized 3D imager with coherent frequency-domain photoacoustics”, IEEE Transactions on Biomedical Circuits and Systems, in press (2019).

  3. Changchun Yang, and Fei Gao, “EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

  4. Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, and Fei Gao, “Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction in vivo”, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 (oral, 35 out of 1700 submissions).

  5. Changchun Yang, and Fei Gao, “EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast”, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

  6. Siyu Liu, Xiaohua Feng, Haoran Jin, Ruochong Zhang, Yunqi Luo, Zesheng Zheng, Fei Gao, and Yuanjin Zheng, “Hand-held photoacoustic imager for theranostics in 3D”, to appear(2019) in IEEE Transactions on Medical Imaging.

  7. Daohuai Jiang, Hengrong Lan, Hongtao Zhong, Yongjian Zhao, Haoyan Li, and Fei Gao, “Low-cost photoacoustic tomography system based on multi-channel delay-line module”, IEEE Transactions on Circuits and Systems II, vol. 66, no. 5, pp.778 – 782, 2019.

  8. Hengrong Lan, Tingyang Duan, Hongtao Zhong, Meng Zhou, and Fei Gao, “Photoacoustic Classification of Tumor Model Morphology Based on Support Vector Machine: A Simulation and Phantom Study”, IEEE Journal of Selected Topics on Quantum Electronics, vol. 25, 7201409, 2019.

  9. Tingyang Duan, Hengrong Lan, Hongtao Zhong, Meng Zhou, Ruochong Zhang, and Fei Gao, “Optical spectroscopic ultrasound displacement imaging: a feasibility study”, IEEE Journal of Selected Topics in Quantum Electronics, vol. 25, 7101008, 2019. 

  10. Ruochong Zhang, Fei Gao, Xiaohua Feng, Siyu Liu, Ran Ding and Yuanjin Zheng, “Photoacoustic resonance imaging”, IEEE Journal of Selected Topics in Quantum Electronics, vol. 25, 6800307, 2019.