CV

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

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

B.Eng. in Information Engineering

Southeast University, Nanjing, China

• Honor Student in Chien-Shiung Wu College
• GPA: 3.7/4.0

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

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.

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.

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.

• Knight Fellowship, UIUC
• Spring 2022 conference travel award, UIUC

• President Scholarship, Southeast University
• Zhiwei Zhang Scholarship, Southeast University