Zhijie Dong

Senior Systems Engineer @ Iota Biosciences

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Fremont, CA

I am a Senior Systems Engineer at iota Biosciences, where I develop and integrate advanced signal/image processing and machine learning solutions for next-generation biomedical devices. I finished my Ph.D. in the department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. Previsouly, I obtained my B.E. degree in 2017 from the Southeast University and my M.S. degree in 2018 from the University of Michigan, Ann Arbor.

I’m deeply passionate about signal and image processing, deep learning, and system integration. This passion drives my work to bridge the gap between innovative research and practical, impactful applications. Furthermore, I love developing innovative algorithm that transform raw data into actionable insights and build end-to-end system around that. This pursuit fuels my dedication to pushing the boundaries of technology and creating innovative solutions for real-world challenges.

news

Oct 03, 2024 Check out our latest TMI paper 3D-PAULM (co first-authored) demonstrating a 3D imaging system that seamlessly integrates photoacoustic computed tomography and ultrasound localization microscopy into a single device.
Apr 23, 2024 Check out our latest TUFFC paper introducing a novel 3D shear wave elastography (SWE) method based on 2D row-column-addressing (RCA) array. To the best of our knowledge this is the first time that acoustic radiation force-based 3D SWE is demonstrated on 2D RCAs.
3D ARF-SWE imaging
Aug 03, 2023 Thrilled to see that our FASTER 3D imaging work is featured on the cover of the IEEE TUFFC journal!
FASTER journal cover
Oct 12, 2022 Check out this nice article about the FASTER technique.
Jun 24, 2022 I have been selected as the recipient of the Spring 2022 Conference Travel Award.
May 19, 2022 I have been selected the recipient of the Knight Fellowship in Electrical and Computer Engineering for 2022-2023. :sparkles: :smile:
May 18, 2022 Our 3D RCA SWE paper has now been accepted for publication in BME Frontiers.

selected publications

  1. TUFFC
    Three-dimensional shear wave elastography using acoustic radiation force and a 2-d row-column addressing (rca) array
    Zhijie Dong, U-Wai Lok, Matthew R Lowerison, and 3 more authors
    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024
  2. TUFFC
    High-Volume-Rate 3-D Ultrasound Imaging Using Fast-Tilting and Redirecting Reflectors
    Zhijie Dong, Shuangliang Li, Xiaoyu Duan, and 6 more authors
    IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2023
  3. Nature Comm
    Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy
    YiRang Shin, Matthew R Lowerison, Yike Wang, and 5 more authors
    Nature communications, 2024
  4. TMI
    Non-invasive deep-brain imaging with 3D integrated photoacoustic tomography and ultrasound localization microscopy (3D-PAULM)
    Yuqi Tang, Nanchao Wang, Zhijie Dong, and 8 more authors
    IEEE transactions on medical imaging, 2024
  5. TUFFC
    Fast Acoustic Steering Via Tilting Electromechanical Reflectors (FASTER): A Novel Method for High Volume Rate 3-D Ultrasound Imaging
    Zhijie Dong, Shuangliang Li, Matthew R Lowerison, and 3 more authors
    IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2020