General Information

Full Name Zhijie Dong
Address 4031 Beckman Institute, 405 N. Mathews Ave., Urbana, IL 61801
Email zhijied3 AT illinois DOT edu


  • 2019 – 2023
    Ph.D. in Electrical and Computer Engineering
    University of Illinois Urbana-Champaign, Urbana, IL
    • Advisor: Prof. Pengfei Song
    • Research Interests: 3D ultrafast ultrasound imaging, deep learning in medical imaging, signal & imaging processing
    • GPA: 4.0/4.0
  • 2017 - 2018
    M.S. in Electrical and Computer Engineering
    University of Michigan, Ann Arbor, MI
    • Sub Field: Signal & Image Processing and Machine Learning
    • GPA: 4.0/4.0
  • 2013 - 2017
    B.Eng. in Information Engineering
    Southeast University, Nanjing, China
    • Honor Student in Chien-Shiung Wu College
    • GPA: 3.7/4.0

Research & Projects

  • 2019 - Present
    Ultrafast 3D Ultrasound Imaging Using Fast-tilting and Redirecting Re- flectors
    Advisor: Prof. Pengfei Song, University of Illinois Urbana-Champaign
    • Proposed a new 3D ultrasound imaging technique called Fast Acoustic Steering via Tilting Electromechanical Reflectors (FASTER).
    • Achieved high volume-rate 3D ultrasound imaging using FASTER with conven- tional 1D array transducers.
    • Apply FASTER 3D imaging in different imaging modalities such as shear wave imaging and ultrasound microvessel imaging
  • 2018
    Nonparametric Preference Completion with Pairwise Preference
    Advisor: Prof. Clayton Scott, University of Michigan
    • Used a k-nearest neighbors-like algorithm to implement preference completion with pairwise preference in a nonparametric setting.
    • Established a probability bound of ranking mistakes, which tends to zero in the limiting situation.
  • 2018
    Histotripsy System Implementation
    Advisor: Prof. Zhen Xu and Dr. Tim Hall, University of Michigan
    • Implemented the receiving part of the next generation of Histotripsy system that includes both transmit and receive capability for Non-invasive Ultrasonic Tissue Surgery.
    • Used FPGA and HPS to implement ultrasound signal conversion, processing, and transmission with high speed and resolution.
  • 2016-2017
    Machine Learning Based Link Adaptation for MIMO System
    Advisor: Prof. Xiqi Gao and Prof. Wenjin Wang, Southeast University
    • Proposed a link adaptation scheme in MIMO-OFDM systems through machine learning algorithms to maximize spectral efficiency while maintaining transmis- sion reliability.
    • Used Autoencoder architecture to extract features from channel state informa- tion (CSI) and exploited intrinsic connection between measurement data and adaptation scheme.

Honors and Awards

  • 2022
    • Knight Fellowship, UIUC
    • Spring 2022 conference travel award, UIUC
  • 2015
    • President Scholarship, Southeast University
    • Zhiwei Zhang Scholarship, Southeast University