My name is Yide Zhang (Chinese: 张以德). My long-term research goal is to pioneer optical imaging technologies that surpass current limits in speed, accuracy, and accessibility, advancing translational research. With a foundation in electrical engineering, particularly in biomedical imaging and optics, my PhD work at the University of Notre Dame focused on advancing multiphoton fluorescence lifetime imaging microscopy and super-resolution microscopy, significantly reducing image generation time and cost. I developed an analog signal processing method that enables real-time streaming of fluorescence intensity and lifetime data, and created the first Poisson-Gaussian denoising dataset to benchmark image denoising algorithms for high-quality, real-time applications in biomedical research. As a postdoc at the California Institute of Technology (Caltech), my research expanded to include pioneering photoacoustic imaging techniques, enabling noninvasive and rapid imaging of hemodynamics in humans. In the realm of quantum imaging, I developed innovative techniques utilizing spatial and polarization entangled photon pairs, overcoming challenges such as poor signal-to-noise ratios and low resolvable pixel counts. Additionally, I advanced ultrafast imaging methods for visualizing passive current flows in myelinated axons and electromagnetic pulses in dielectrics. My research is currently funded by the National Institutes of Health (NIH) K99/R00 Pathway to Independence Award.
I will join the University of Colorado Boulder (CU Boulder) as an Assistant Professor of Electrical, Computer & Energy Engineering (ECEE) and Biomedical Engineering (BME) in May 2025. My lab will be actively recruiting postdocs, graduate students, and CU Boulder undergraduates. We welcome applicants with backgrounds in electrical engineering, biomedical engineering, physics, computer science, mechanical engineering, optics, ultrasonics, imaging, or related fields. If you are interested, please send your CV to yide.zhang@colorado.edu.
Interests
- Photoacoustic Imaging
- Quantum Imaging
- Ultrafast Imaging
- Fluorescence Imaging
- Machine Learning
Education
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Ph.D. in Electrical Engineering, 2019
University of Notre Dame
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M.S. in Electrical Engineering, 2017
University of Notre Dame
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B.Eng. in Automation, 2014
Huazhong University of Science and Technology