Yifei Jin
Yifei Jin

ECE Ph.D. Candidate

About Me

Yifei Jin is an ECE Ph.D. candidate advised by Dr. Viktor Gruev at University of Illinois at Urbana-Champaign. My research interests include the design and development of multispectral imaging systems for image-guided cancer surgeries. Before joining Dr. Gruev’s lab, I was a hardware engineer responding to circuit verifications for automatic test equipment at Teradyne in North Reading, Massachusetts. I am proficient in camera system, hardware engineering, optics and ML/CV. I am seeking an electrical engineering internship for the Spring/Summer of 2025.

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Interests
  • Camera System
  • Hardware Engineering
  • Optics
  • Machine Learning/Computer Vision
Education
  • Ph.D. Electrical and Computer Engineering

    University of Illinois at Urbana-Champaign

  • BS Electrical and Computer Engineering

    Worcester Polytechnic Institute

đź“š Research Abstract
My research focuses on developing a multispectral camera system for labeled and label-free fluorescence cancer imaging. Inspired by the unique structure of the mantis shrimp’s eye, this camera can simultaneously capture images across the UV, visible, and NIR spectrums. The system has significant implications for advancing image-guided surgery and intraoperative pathology. Based on the bioinspired camera, I also developed a lensless microscopy within the UV-Visible-NIR spectrum. By replacing expensive optical lenses with a holographic diffuser, the lensless microscopy achieves even higher resolution and enables three-dimensional imaging with a single shot. To optimize the bioinspired camera’s image demosaicing, I designed and trained a 20-layer convolutional network with residual learning, significantly enhancing reconstructed image quality compared to traditional methods.
Publications
(2024). Convolutional neural network advances in demosaicing for fluorescent cancer imaging with color–near-infrared sensors. In Journal of biomedical optics.
(2023). Bioinspired, vertically stacked, and perovskitenanocrystal–enhanced CMOS imaging sensors forresolving UV spectral signatures. In Science Advances.
(2013). Implantable and wearable sensors for assistive technologies. In Encyclopedia of Sensors and Biosensors.