I am a second year PhD student in the Electrical and Computer Engineering Department at Johns Hopkins University, under the guidance of Professor Trac D. Tran.

Before joining JHU, I completed my Master’s degree in Electrical and Computer Engineering at the University of Southern California, working closely with Prof. Justin Haldar. Prior to that, I earned my B.S. in Automation at Xi’an Jiaotong University in China.

To know more about me, here is my CV

Research Interest

My current research focus on:

• Compressed Sensing for Signal Reconstruction;
• Inverse Problem;
• Sparse Recovery;
• Computational Imaging;
• Optimization in Deep Learning/Machine Learning;

Publication

The “hidden noise” problem in MR image reconstruction
Jiayang Wang, Di An, Justin P. Haldar Magnetic Resonance in Medicine 2024

Education

Johns Hopkins University, 2023 - Present;
Ph.D in Electrical and Computer Engineering

University of Southern California, 2021 - 2023;
MS in Electrical and Computer Engineering, Awarded as Honor Student

Xi’an Jiaotong University, 2016 - 2020;
BS in Automation

Experience

University of Southern California, Los Angeles, May. 2022 - May. 2023
Reasearch Assistant, Biomedical Imaging Group;
Advisor: Prof. Justin Haldar;
Research experience:

• Hidden noise inside the computational Imaging
• Improved reconstruction quality with estimator

School of Computing at NUS, Singapre, Jul. 2019 - Aug. 2019
Summer School,Tele-Robot & Deep-Learning;
Advisor: Prof. SOO Yuen Jien;
Research experience:

• Used Raspberry Pi and Arduino communicating each other, together controlling the tele-robot
• Implemented the SLAM into the tele-robot to achieve mapping ability
• Trained neural network for tele-robot to recognize the barriers in the way

Teaching

• EN.520.651 Random Signal Analysis
  Teaching Assistant, Fall 2024, Johns Hopkins University