PhD researcher
University of Rochester
Penfield, United States
I'm Donya Khaledyan, a passionate Ph.D. student in Electrical and Computer Engineering at the University of Rochester. My research is focused on enhancing the performance of ultrasound medical imaging systems, applications, and diagnosis through the development of innovative machine learning techniques, signal processing, and image processing algorithms.
Before joining this group, I worked extensively on various medical imaging modalities such as X-ray, CT-scan, MRI, and PET-scan, their machines, images and how to diagnose different anomalies in medical images by combing machine learning and image processing techniques.
I also have experience in hardware architecture and FPGA implementation. This has given me a comprehensive understanding of medical imaging systems, their limitations, and the potential ways to overcome these limitations.
I'm a dedicated and driven individual with a deep passion for research. I'm committed to exploring novel ways to improve medical imaging and diagnosis, and I believe that my work can have a significant impact in the field. At the University of Rochester, I am a part of the research community, and I'm dedicated to making a difference through my research.
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Monday, April 8, 2024
12:09pm – 12:19pm
WATUNet: Towards Enhancing Breast Cancer Segmentation in Rural Settings
Monday, April 8, 2024
2:56pm – 3:03pm