CV

Resume

You can download my resume from here(English_version, and Chinese_version).

Education

• Ph.D in Electronic Information, Harbin Institute of Technology (Shenzhen), 2025 (expected)
• M.S. in Mechanical Engineering, Central South University, 2020
• B.S. in Mechanical Engineering, Luoyang Institute of Technology, 2017

Work experience

• 2024.09-2025.09: Joint Ph.D. student (under CSC scholarship)
  • Advanced Microscopy and Cellular Dynamics at the Max Perutz labs
  • Research areas: MinFlux microscope, Single Molecule Localization Super-resolution Microscope, Deep Learning
  • Supervisor: Prof. Jonas Ries
• 2022.01-2024.09: Visiting Student
  • Institute of Systems and Physical Biology, Shenzhen Bay Laboratory
  • Research areas: Single particle tracking, super-resolution imaging, spectrum imaging
  • Supervisor: Assistant Prof. Shangguo Hou
• 2020.08-2021.08: Software development engineer
  • ZTE Cooperation
  • Duties included: code design for video player

Honors & Awards

• Harbin Institute of Technology BYD Doctoral Scholarship HIT,2024
• Shenzhen Bay Laboratory Distinguished Director Scholarship SZBL,2023
• Central South University Highpower Technology Scholarship CSU, 2019
• LuoYang Institute of Technology Excellent Bachelor Thesis Award LIT, 2017
• National Encouragement Scholarship LIT, 2016,2015
• First prize of RoboCup Humanoid robot climbing Challenge China Association of Automation, 2015
• First prize of Henan Province 12th Challenge Cup China Association for Science and Technology, 2015
• First prize of iCAN International Contest of innovAtioN iCAN, 2014
• First prize of RoboCup Humanoid robot racing Challenge China Association of Automation, 2014

Publications

Adaptive lensless microscopic imaging with unknown phase modulation

Chen, X., H. Sha, C. Chen, Y. Jiang, W. Zou and Y. Zhang (2025). "Adaptive lensless microscopic imaging with unknown phase modulation." Biomedical Optics Express 16(3).

Rational development of Nile red derivatives with significantly improved specificity and photostability for advanced fluorescence imaging of lipid droplets

Zheng H, et al. Rational development of Nile red derivatives with significantly improved specificity and photostability for advanced fluorescence imaging of lipid droplets. Biosensors and Bioelectronics 282, (2025).

Reliable deep learning in anomalous diffusion against out-of-distribution dynamics

Feng, X., Hao, Sha., et al. Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nature Computational Science 4(2024).

Compressive confocal microscopy imaging at the single-photon level with ultra-low sampling ratios

Liu, S., et al. Compressive confocal microscopy imaging at the single-photon level with ultra-low sampling ratios. Communications Engineering 3(2024).

Deep learning-enhanced snapshot hyperspectral confocal microscopy imaging system

Liu, S., et al. Deep learning-enhanced snapshot hyperspectral confocal microscopy imaging system. Optics Express 32(2024).

Deep learning-enhanced single-molecule spectrum imaging

Sha, H., Li, H., Zhang, Y. & Hou, S. Deep learning-enhanced single-molecule spectrum imaging. APL Photonics 8(2023).

AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging

Jiang, Y., Sha, H., Liu, S., Qin, P. & Zhang, Y. AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging. Biomedical Optics Express 14(2023).

Intensity and phase imaging through scattering media via deep despeckle complex neural networks

Liu, S., et al. Intensity and phase imaging through scattering media via deep despeckle complex neural networks. Optics and Lasers in Engineering 159(2022).

Fourier Ptychography Based on Deep Learning

Sha hao, Liu Yangzhe & Zhang Yongbing. 基于深度学习的傅里叶叠层成像技术. Laser & Optoelectronics Progress 58(2021).

Projects

• Currently I participated in six research projects and one technology transfer project. These projects included an Excellent Young Scientists Fund (优青) Program and a Key Project (重点项目) funded by the National Natural Science Foundation of China (NSFC), with a total funding amount of 8 million RMB.