Artificial Intelligence for Science and Social Good Laboratory
Dorsa Ziaei completed her Ph.D. program in Computer Science at the University of Maryland Baltimore County (UMBC) in 2020, with a focus on designing scalable and distributed deep
learning frameworks to process large high-resolution images. She received her BS and MS degrees in Computer Science major. Currently, she is working as a computational scientist II at Frederick National Laboratory for Cancer Research, NCI / NIH.
Research interests:
Data Science, Data Mining, Computer Vision, Applied Machine Learning, Deep Learning,
Scalable Deep Learning, Distributed Training, Timeseries Forecasting, Predictive Modeling
Awards:
ORISE Fellow at Food and Drug Administration (FDA) for the project: Characterization of color normalization methods in digital pathology whole slide imaging
Winner of SPIE Medical Imaging 2020, Best Paper Poster Award, Image Processing Conference, for “Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning”
NSF XSEDE Resource Award (2019) for “Machine Learning for very Large High-Resolution Images”, Access to Pittsburgh Supercomputing Center AI-GPU cluster with nine nodes each with 8 V100 GPUs
Winner of F1000 Award: Outstanding Presentation Prize, “NYC Symposium: Deep Learning for Drug Discovery” for the project “Assessment of Deep Convolutional Neural Networks: Segmentation of Large High-Resolution Stem Cell Images”
