Hi, my name is Jiayao Yang.
I am a PhD candidate majoring in Signal & Image Processing and Machine Learning of EECS department in University of Michgan - Ann Arbor co-advised by Jon-Fredrik Nielsen and Yun Jiang. My research interests include magnetic resonance imaging (MRI), signal processing, numerical optimization, and machine learning.
News
- May 04-09, 2024: presented at 2024 ISMRM & ISMRT Annual Meeting & Exhibition in Singapore
- March 28-29, 2024: organized Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS)
- Sepmtember, 2023: started my PhD program at University of Michigan
- June 03-08, 2023: presented at 2023 ISMRM & ISMRT Annual Meeting & Exhibition in Toronto
- January 08-11, 2023: presented at ISMRM workshop on Data Sampling & Image Reconstruction in Sedona
Conference and presentations
- Jiayao Yang, Jesus Ernesto Fajardo, Jeffrey A. Fessler, Vikas Gulani, Jon-Fredrik Nielsen, and Yun Jiang, “Calibration-free Multidimensional Universal Refocusing Pulse Design for 3D Reduced Field-of-View Prostate Imaging”, digital poster in 2024 ISMRM Annual Meeting, Singapore. (May 2024) (program number: 4094)
- Jiayao Yang, Jon-Fredrik Nielsen, and Yun Jiang, “Multidimensional RF pulse design in spin-domain using auto-differentiation for 3D refocusing pulse”, in-person oral Power Pitch presentation in 2023 ISMRM Annual Meeting, Toronto, ON, Canada. (June 2023) (program number: 0200)
- Jiayao Yang, Jon-Fredrik Nielsen, and Yun Jiang, “Multidimensional RF pulse design in spin-domain using auto-differentiation”, poster in 2023 ISMRM Workshop on Data Sampling & Image Reconstruction, Sedona, AZ, USA (Jan 2023) (poster number: 77)
